From 24829c7abf8deb38025557f7f1d22d395164f11b Mon Sep 17 00:00:00 2001 From: hhs0625 Date: Wed, 25 Sep 2024 08:52:30 +0900 Subject: [PATCH] [TASK] the entier paper work --- data_import/plot_class_token.ipynb | 176 ++++++ data_import/plot_count.ipynb | 152 ++++- .../1.add_tag_name.ipynb | 20 +- .../2.seperate_number.ipynb | 2 +- data_preprocess/split_data.ipynb | 16 +- evaluation/check_accuracy.ipynb | 112 +++- .../tfidf_class/2a.classfiler_albert.ipynb | 341 ++++++++++ .../tfidf_class/2a.classifier_bert.ipynb | 414 +++++++++++++ .../2a.classifier_bertdistil.ipynb | 437 +++++++++++++ .../tfidf_class/2a.classifier_berttiny.ipynb | 478 +++++++++++++++ ....ipynb => 2a.classifier_class_tfidf.ipynb} | 48 +- .../tfidf_class/2a.classifier_knn_bow.ipynb | 116 ++++ .../tfidf_class/2a.classifier_knn_bow_J.ipynb | 142 +++++ .../2a.classifier_knn_tfidfy.ipynb | 148 +++++ .../2a.classifier_knn_word2vec.ipynb | 174 ++++++ .../tfidf_class/2a.classifier_svm_bow.ipynb | 147 +++++ .../tfidf_class/2a.classifier_svm_tfidf.ipynb | 147 +++++ .../2a.classifier_svm_word2vec.ipynb | 161 +++++ .../2y.conbine_classifcation.ipynb | 57 ++ .../tfidf_class/2z.plot_classfication.ipynb | 147 +++++ .../2z.plot_classfication_bert.ipynb | 101 +++ .../tfidf_class/2z.plot_cluster.ipynb | 207 +++++++ .../tfidf_class/2z.plot_distribution.ipynb | 268 ++++++++ post_process/tfidf_class/3.refine.ipynb | 187 +++--- .../tfidf_class/3a.check_duplicate.ipynb | 84 +++ .../tfidf_class/4.selection_by_tfidf.py | 114 ---- .../tfidf_class/4.selection_knn_tfidf.py | 76 +++ .../tfidf_class/4a.selection_class_tfidf.py | 111 ++++ .../tfidf_class/4a.selection_knn_bow.py | 74 +++ .../tfidf_class/4a.selection_knn_bow_J.py | 76 +++ .../tfidf_class/4a.selection_knn_word2vec.py | 79 +++ .../tfidf_class/4z.plot_selection.ipynb | 171 ++++++ post_process/tfidf_class/5.analysis.ipynb | 105 ++++ translation/bart/1.data_process_concat.ipynb | 148 +++++ translation/bart/2.train.ipynb | 359 +++++++++++ .../bart/3.produce_test_predictions.ipynb | 316 ++++++++++ translation/t5/1.data_process_concat.ipynb | 140 ++--- translation/t5/1.plot/plot_result.ipynb | 201 ++++++ translation/t5/1.plot/training_loss.xlsx | Bin 0 -> 28360 bytes translation/t5/1.plot/traning_loss.ipynb | 106 ++++ translation/t5/2.t5_train.ipynb | 580 ++++++++++-------- .../t5/3.produce_test_predictions.ipynb | 282 ++------- translation/t5/check_recall.ipynb | 86 +++ 43 files changed, 6431 insertions(+), 875 deletions(-) create mode 100644 data_import/plot_class_token.ipynb create mode 100644 post_process/tfidf_class/2a.classfiler_albert.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_bert.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_bertdistil.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_berttiny.ipynb rename post_process/tfidf_class/{2.classify_by_tfidf.ipynb => 2a.classifier_class_tfidf.ipynb} (62%) create mode 100644 post_process/tfidf_class/2a.classifier_knn_bow.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_knn_bow_J.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_knn_tfidfy.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_knn_word2vec.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_svm_bow.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_svm_tfidf.ipynb create mode 100644 post_process/tfidf_class/2a.classifier_svm_word2vec.ipynb create mode 100644 post_process/tfidf_class/2y.conbine_classifcation.ipynb create mode 100644 post_process/tfidf_class/2z.plot_classfication.ipynb create mode 100644 post_process/tfidf_class/2z.plot_classfication_bert.ipynb create mode 100644 post_process/tfidf_class/2z.plot_cluster.ipynb create mode 100644 post_process/tfidf_class/2z.plot_distribution.ipynb create mode 100644 post_process/tfidf_class/3a.check_duplicate.ipynb delete mode 100644 post_process/tfidf_class/4.selection_by_tfidf.py create mode 100644 post_process/tfidf_class/4.selection_knn_tfidf.py create mode 100644 post_process/tfidf_class/4a.selection_class_tfidf.py create mode 100644 post_process/tfidf_class/4a.selection_knn_bow.py create mode 100644 post_process/tfidf_class/4a.selection_knn_bow_J.py create mode 100644 post_process/tfidf_class/4a.selection_knn_word2vec.py create mode 100644 post_process/tfidf_class/4z.plot_selection.ipynb create mode 100644 post_process/tfidf_class/5.analysis.ipynb create mode 100644 translation/bart/1.data_process_concat.ipynb create mode 100644 translation/bart/2.train.ipynb create mode 100644 translation/bart/3.produce_test_predictions.ipynb create mode 100644 translation/t5/1.plot/plot_result.ipynb create mode 100644 translation/t5/1.plot/training_loss.xlsx create mode 100644 translation/t5/1.plot/traning_loss.ipynb create mode 100644 translation/t5/check_recall.ipynb diff --git a/data_import/plot_class_token.ipynb b/data_import/plot_class_token.ipynb new file mode 100644 index 0000000..8d93891 --- /dev/null +++ b/data_import/plot_class_token.ipynb @@ -0,0 +1,176 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Concatenated data saved to output/thing_property_grouped.csv\n", + "Total number of unique thing_property combinations: 691\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import os\n", + "import re\n", + "\n", + "# CSV 파일 읽기\n", + "df = pd.read_csv('raw_data.csv')\n", + "\n", + "# MDM이 True인 데이터만 필터링\n", + "mdm_true_df = df[df['MDM'] == True]\n", + "\n", + "# 'thing'과 'property'로 그룹화하여 'tag_description'을 이어붙이기 (NaN을 빈 문자열로 처리)\n", + "tag_description_concatenated = mdm_true_df.groupby(['thing', 'property'])['tag_description'].apply(lambda x: ' '.join(x.dropna().astype(str))).reset_index()\n", + "\n", + "# 'thing'과 'property'로 그룹화하여 'tag_name'을 이어붙이기 (NaN을 빈 문자열로 처리)\n", + "tag_name_concatenated = mdm_true_df.groupby(['thing', 'property'])['tag_name'].apply(lambda x: ' '.join(x.dropna().astype(str))).reset_index()\n", + "\n", + "# 'thing'과 'property'의 매핑 개수 계산\n", + "mapping_count = mdm_true_df.groupby(['thing', 'property']).size().reset_index(name='mapping_count')\n", + "\n", + "# 세 개의 데이터프레임 병합: mapping_count, tag_description_concatenated, tag_name_concatenated\n", + "thing_property_grouped = pd.merge(mapping_count, tag_description_concatenated, on=['thing', 'property'])\n", + "thing_property_grouped = pd.merge(thing_property_grouped, tag_name_concatenated, on=['thing', 'property'])\n", + "\n", + "# 'tag_description'에서 공백으로 분리된 토큰 수 계산\n", + "thing_property_grouped['td_token_count'] = thing_property_grouped['tag_description'].apply(lambda x: len(re.findall(r'\\S+', x)))\n", + "\n", + "# 'tag_description'에서 고유한 토큰 수 계산 (unique_token_count)\n", + "thing_property_grouped['unique_token_count'] = thing_property_grouped['tag_description'].apply(lambda x: len(set(re.findall(r'\\S+', x))))\n", + "\n", + "# 'thing'과 'property'에서 숫자를 '#'으로 대체하여 pattern 생성\n", + "thing_property_grouped['pattern'] = thing_property_grouped['thing'].str.replace(r'\\d', '#', regex=True) + \" \" + thing_property_grouped['property'].str.replace(r'\\d', '#', regex=True)\n", + "\n", + "# 고유한 thing_property 조합의 총 개수 계산\n", + "total_thing_property_count = thing_property_grouped.shape[0]\n", + "\n", + "# 저장 경로 지정\n", + "output_path = 'output/thing_property_grouped.csv'\n", + "\n", + "# 디렉터리 생성 (존재하지 않으면)\n", + "output_dir = os.path.dirname(output_path)\n", + "os.makedirs(output_dir, exist_ok=True)\n", + "\n", + "# 결과를 CSV 파일로 저장\n", + "thing_property_grouped.to_csv(output_path, index=False, encoding='utf-8-sig')\n", + "\n", + "# 결과 출력\n", + "print(f\"Concatenated data saved to {output_path}\")\n", + "print(f\"Total number of unique thing_property combinations: {total_thing_property_count}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# Left axis: Plotting the histogram for mapping_count\n", + "fig, ax1 = plt.subplots(figsize=(12, 8))\n", + "\n", + "# Histogram for mapping_count\n", + "ax1.hist(thing_property_grouped['mapping_count'], bins=30, color='skyblue', edgecolor='black', alpha=0.7)\n", + "ax1.set_xlabel('Mapping Count', fontsize=24, color='black') # X-axis label with larger font\n", + "ax1.set_ylabel('Frequency', fontsize=24, color='black') # Y-axis label with larger font\n", + "ax1.grid(True, linestyle='--', alpha=0.7)\n", + "\n", + "# Set axis color to black\n", + "ax1.spines['bottom'].set_color('black')\n", + "ax1.spines['top'].set_color('black') \n", + "ax1.spines['right'].set_color('black')\n", + "ax1.spines['left'].set_color('black')\n", + "\n", + "# Make tick labels larger\n", + "ax1.tick_params(axis='x', colors='black', labelsize=18)\n", + "ax1.tick_params(axis='y', colors='black', labelsize=18)\n", + "\n", + "# Right axis: Plotting unique_token_count min, max, and average\n", + "ax2 = ax1.twinx()\n", + "\n", + "# Group by mapping_count to calculate min, max, and average of unique_token_count\n", + "grouped_token_stats = thing_property_grouped.groupby('mapping_count')['unique_token_count'].agg(['min', 'max', 'mean']).reset_index()\n", + "\n", + "# Plot the min-max range as a shaded area\n", + "ax2.fill_between(grouped_token_stats['mapping_count'],\n", + " grouped_token_stats['min'],\n", + " grouped_token_stats['max'],\n", + " color='lightgray', alpha=0.5, label='Min-Max Range')\n", + "\n", + "# Plot the average unique_token_count as a line\n", + "ax2.plot(grouped_token_stats['mapping_count'],\n", + " grouped_token_stats['mean'],\n", + " color='red', marker='o', linestyle='-', label='Average Unique Token Count')\n", + "\n", + "ax2.set_ylabel('Unique Token Count (Min/Max/Avg)', fontsize=24, color='black') # Larger font for right Y-axis label\n", + "ax2.tick_params(axis='y', colors='black', labelsize=18)\n", + "\n", + "# Add legends\n", + "ax1.legend(['Frequency'], loc='upper left', fontsize=18)\n", + "ax2.legend(loc='upper right', fontsize=18)\n", + "\n", + "# Add a logarithmic trendline\n", + "# Applying log to mapping_count for the trendline\n", + "log_mapping_count = np.log(grouped_token_stats['mapping_count'])\n", + "\n", + "# Fit a linear model on the log of the mapping_count\n", + "z = np.polyfit(log_mapping_count, grouped_token_stats['mean'], 1) # Linear fit on log-transformed data\n", + "p = np.poly1d(z)\n", + "\n", + "# Generate x values and corresponding y values for the trendline\n", + "x_vals = np.linspace(grouped_token_stats['mapping_count'].min(), grouped_token_stats['mapping_count'].max(), 500)\n", + "log_x_vals = np.log(x_vals)\n", + "y_vals = p(log_x_vals)\n", + "\n", + "# Plot the logarithmic trendline\n", + "ax2.plot(x_vals, y_vals, color='green', linestyle='--', label='Logarithmic Trendline')\n", + "\n", + "# Add the trendline to the legend\n", + "ax2.legend(loc='upper right', fontsize=18)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_import/plot_count.ipynb b/data_import/plot_count.ipynb index 029be47..eaae64a 100644 --- a/data_import/plot_count.ipynb +++ b/data_import/plot_count.ipynb @@ -2,14 +2,22 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 10, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total SD: 62071\n", + "Total PD: 10530\n" + ] + }, { "data": { - "image/png": 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", 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ulCQNHz48aHMDAAAAgOpyxMrb6tWrqzyekpJiPkTEMIwKx6+77jqtXbtWq1at0tdff61zzz233PElS5Zo586dklSt2nG+WFGk2x9BLfANa3jDJPWSNs+SgnkLLeoH4qu8M1PsngEAAKdU51fepBPJW8+ePWUYhsaOHau0tDRJktfr1ZIlS3TzzTdLkkaOHKkhQ4bYOVUAAAAA8MkRK2/+ioiI0HvvvafBgwcrIyNDQ4cOVWxsrLxer44fPy5J6t27txYvXmzzTAEAAADAt3qx8iZJ7dq10w8//KDp06erR48ecrlccrvdOuecczR37lx99dVXatiwod3TBAAAAACf6kTylpKSIsMwfH7erayEhATNnDlTP/74o/Ly8pSTk6P169drypQpioyMDNJsAQAAAKDm6kTyBgAAAAB1HckbAAAAADhAvXhgSTBYU6TbHyl2TwD+8nikXcul7tMkt9vu2aCuIb4AAHAcVt4AAAAAwAFYeQsQK4t0h2TBbQraAgAAAEHFyhsAAAAAOADJGwAAAAA4AMkbAAAAADgAyRsAAAAAOADJGwAAAAA4AMkbAAAAADgApQICxNoi3SkWnRcAAACAU7DyBgAAAAAOwMpbgFhZpLtUtYp1UzwbAAAAqJNYeQMAAAAAByB5AwAAAAAHIHkDAAAAAAcgeQMAAAAAByB5AwAAAAAHIHkDAAAAAAegVECAWFuku1SKxecHAAAAEKpI3gIkGHXeSlWr3ltVqAUHAAAAOA63TQIAAACAA5C8AQAAAIADkLwBAAAAgAOQvAEAAACAA5C8AQAAAIADkLwBAAAAgAOQvAEAAACAA1DnLUCCU6S7VEqQxgEAAAAQKkjeAiQYRbr9Ls4tUaAbAAAAcChumwQAAAAAByB5AwAAAAAHIHkDAAAAAAcgeQMAAAAAByB5AwAAAAAHIHkDAAAAAAegVECABKfOW4rF5wcAAAAQqlh5AwAAAAAHYOUtQEKqSDeFuAEAAIA6h5U3AAAAAHAAkjcAAAAAcACSNwAAAABwAJI3AAAAAHAAkjcAAAAAcACSNwAAAABwAEoFBAhFugEAAABYiZU3AAAAAHAAVt4CJBhFusuqdsFuOJc3TFIvafMsKcxr92wChyLyAAAAtcLKGwAAAAA4AMkbAAAAADgAyRsAAAAAOADJGwAAAAA4AMkbAAAAADgAyRsAAAAAOAClAgIkOEW6y0oJ4liwhccj7VoudZ8mud12zwYAAAA2Y+UNAAAAAByAlbcAsbpIN0W566G6WqQbocHO+KJQOwAAtcLKGwAAAAA4AMkbAAAAADgAyRsAAAAAOADJGwAAAAA4AMkbAAAAADgAyRsAAAAAOAClAgLE+iLdKRaeGyGJIt2wEvEFAIDjsPIGAAAAAA7AyluAWF2kuzJBK95NUV0AAADAVqy8AQAAAIADkLwBAAAAgAOQvAEAAACAAzgqefvuu+80c+ZMXXLJJerSpYsaN24st9utxo0bq3///nrkkUeUlZVV5TkOHDigKVOmqHPnzoqJiVGjRo00cOBALViwQIZhBOmVAAAAAEDNOOqBJS+++KKeeeYZ8/vo6GjFxMQoKytL69at07p16/Tkk0/qvffe03nnnVeh/4YNGzRixAgdPnxYkhQfH6/c3Fx9/vnn+vzzz7V06VK99957ioyMDNprAgAAAIDqcNTKW79+/TRnzhx9+eWXOnLkiI4dO6acnBzl5uZq0aJFatq0qQ4dOqTRo0fr6NGj5foePXpUF198sQ4fPqwuXbro22+/VW5urvLz8/X000/L7XZr5cqVmjRpkj0vDgAAAACq4KiVt/Hjx/vcHx8fr/Hjxys5OVkjRozQwYMH9cEHH+iaa64x28ydO1f79+9XTEyMli9frvbt20uSIiMjddtttyknJ0f333+/XnjhBU2aNEmdOnWq0dysL9JdmRQbxgQAAAAQbI5K3k7ld7/7nbm9d+/ecsdefvllSdJVV11lJm5l3X777Xr00UeVl5enxYsXa+bMmTUa2646b6WCVu8NweMNk9RL2jxLCvPaPRvUFjUSAQBAgDjqtslTWbt2rbl9+umnm9vbtm3T7t27JUkjR4702Tc+Pl4DBw6UJH388ccWzhIAAAAAas7xyVthYaEyMjL09NNP69prr5UkdezYUaNGjTLbbNq0ydzu0aNHpecqPfbTTz9ZNFsAAAAAqB3H3jYZHR2twsLCCvv79++v1157TVFRUea+ffv2mdutWrWq9Jylx3JycpSXl6f4+PgKbQoLC8uNm5OTI0lyR5RIKqnx6wgUj9fxeThOUvqe8t46nMdj9wx88vzfvDwhOj84F7EFKxFfsEqgYsvq2HRs8pacnKzjx48rLy9P+fn5kqTBgwfrscceU9u2bcu1zc3NNbdjY2MrPWfZY7m5uT6Tt1mzZvn8PNwVEzKqPLfVlu/qZdvYsFbqnp52TwH+2LXc7hlUKTU11e4poI4itmAl4gtW8Te2CgoKAjQT3xybvGVkZJjbBw8e1CuvvKJHHnlE/fr104MPPqiHHnrIknGnTZumyZMnm9/n5OSoTZs2WvJiO0lJloxZHW/OWWrb2LCGxxum1D09NazNj3LzwBLn6j7N7hn45PF4lJqaqmHDhsntdts9HdQhxBasRHzBKoGKrdK78qzi2OStrGbNmmnKlCkaOHCgzjvvPP3jH/9Qv379dPHFF0uSEhISzLYFBQVKTEz0eZ6ymXLZPmVFRUWVuyWzlKc4XPKG+/My/MIv93WXO8zL++tkIf7Lhdvt5hcgWILYgpWIL1jF39iyOi7r1Idp+vXrpwEDBkiSXnjhBXN/y5Ytze3MzMxK+5ceS0xM9HnLJAAAAADYpU6svJVV+tCRX375xdxX9gmTmzZtUteuXX32LX0qZbdu3Wo8rn1Fukul2Dg2LOHxnPi8VPdpIb96AwAAAOvVueRt586dksrf9tipUye1bdtWu3fv1ooVK3TFFVdU6Jefn2/WiRs+fHiNxw1GkW4KcdczNSnSTSFoAACAOs8xt02WlJTIMIwq26Slpembb76RJA0aNMjc73K5NH78eEnSG2+8Ue5hJ6WeeeYZ5eXlKTw8XNdcc03A5g0AAAAAgeCY5G3Pnj3q3bu3nn/+ee3cubNcIrdnzx7985//1KWXXirDMNSoUSPddddd5frffffdSk5OVkFBgS666CJt2LBBklRUVKTnnntOf//73yVJt9xyizp16hS8FwYAAAAA1eCo2yb/97//6S9/+YskKTIyUomJiTp27JhZ502S2rdvr2XLlik5Oblc36SkJH3wwQcaMWKEfvrpJ/Xp00cJCQk6fvy4WUxv+PDheuKJJ4L3ggAAAACgmhyTvLVs2VJLlizR6tWr9fXXX2vfvn06dOiQwsPD1bZtW/Xq1UuXXnqprr76asXExPg8xznnnKPNmzdr9uzZ+uCDD7Rnzx7FxcWpR48euu666zRhwgSFhTlmMRIAAABAPWJ58vbjjz/qk08+UVhYmEaMGKEuXbrU6jyRkZG6/PLLdfnll/s1n+bNm2vevHmaN2+eX+cBAAAAgGDye5np008/1R//+Efdf//9FY7NmzdPvXv31t13363JkyerZ8+eeuqpp/wdEgAAAADqHb9X3pYsWaI1a9boqquuKrf/559/1r333iuv16uoqCiFh4eroKBAd911lwYMGKDevXv7O3RICU6dtxSLz4+QQp03AAAAlOH3ytu6deskSSNHjiy3f8GCBSopKdH555+vQ4cO6ciRI7r88svl9Xr17LPP+jssAAAAANQrfq+8HTx4UOHh4WrdunW5/StWrJDL5dL06dMVFxcnSZo1a5aWLl2qzz77zN9hQ45VRbqDXpibYs8AAABASPJ75S0rK0uJiYlyuVzmvtzcXG3evFlxcXE6//zzzf2nn366oqOjtXfvXn+HBQAAAIB6xe/kLTo6WkePHi1XNHvdunUyDEPnnntuhUfvV/YYfwAAAABA5fxO3jp27Civ16s1a9aY+95++225XC4NGDCgXNuioiIdPXpUzZs393dYAAAAAKhX/P7M20UXXaSNGzfqxhtv1KOPPqpff/1VCxculCSNGTOmXNuNGzfK6/Wqbdu2/g4LAAAAAPWK38nb5MmTtWjRIqWnp+vqq6+WJBmGoSuvvFI9e/Ys1/bdd9/1uSIHAAAAAKia38lbgwYNtG7dOs2YMUNffvmlGjRooIsvvlhTp04t166oqEgvvviiDMPQ4MGD/R0WAAAAAOoVv5M3SWrVqpUWLFhQZZvIyEjt378/EMOFJOuKdKdYcE4AAAAATuP3A0sAAAAAANYLyMrbyXbt2qWDBw9Kkpo1a6bTTjvNimFCilVFuqsS9ALeVqNAOAAAAFCpgK287du3T7fffruaNWumDh066He/+51+97vfqUOHDmratKluv/12inMDAAAAQC0FJHn7+OOP1b17dz377LM6dOiQDMMo93X48GE9++yz6tGjh1asWBGIIQEAAACgXvH7tslt27Zp9OjROn78uBo1aqS//OUv+uMf/6hWrVpJkjIzM7Vq1So9//zzOnTokMaMGaONGzeqc+fOfk8eAAAAAOoLv5O3f/zjHzp+/LjOPPNMpaamqmnTpuWOd+7cWX/84x915513aujQofrxxx/18MMP65VXXvF3aAAAAACoN/y+bTItLU0ul0sLFiyokLiV1aRJE82fP1+GYeiTTz7xd1gAAAAAqFf8Tt6ys7MVHx+vPn36nLJt3759FR8fr+zsbH+HBQAAAIB6xe/bJlu0aGGWBagOr9erFi1a+DtsyLGuSHdVUoI8HgAAAAC7+L3yduGFF+rYsWP69NNPT9k2LS1NBQUFuvjii/0dFgAAAADqFb9X3v7+979r2bJluvHGG7Vy5Up16tTJZ7vt27fr5ptvVosWLfTggw/6O2zIoUh3AFCkGwAAAKhUQEoFzJo1S3fddZd69eqlK664wmepgCVLlig6OlpPPPGEtm7dqq1bt1Y41x/+8Ad/pwMAAAAAdZLfydugQYPkcrnM7xcvXqzFixf7bFtYWKgJEyb4POZyuVRcXOzvdAAAAACgTvI7eZMkwzBC4hwAAAAAUFf5nbx5vd5AzAMAAAAAUAW/nzYJAAAAALAeyRsAAAAAOEBAPvMGinQDAAAAsFaNkreXX35ZkpSUlKRLL7203L6aGj9+fK36AQAAAEB9VKPk7frrr5fL5VLnzp3N5K10X024XK46l7zZUaS7pupcUe+qUPAbAAAAdUyNkre2bdvK5XKpZcuWFfYBAAAAAKxTo+QtIyOjWvsAAAAAAIHF0yYBAAAAwAFI3gAAAADAAUjeAAAAAMABAlbnLTc3Vx988IF++OEHZWVlyePxVNrW5XLpP//5T6CGBgAAAIA6LyDJ28KFC3XnnXcqLy/P3GcYRoV2LpdLhmHUyeTNniLdNZVi9wQAAAAA1JLfydvKlSt14403yjAMRUdH67zzzlPLli0VERGwRT1HCIU6b/Wqjlt94A2T1EvaPEsK89o9GzgdtQ8BAHA8vzOsxx57TIZh6LzzztO7776rJk2aBGJeAAAAAIAy/H5gyYYNG+RyubRw4UISNwAAAACwiN/JW3FxseLj43XGGWcEYj4AAAAAAB/8Tt5OP/10FRYWqqSkJBDzAQAAAAD44HfyNm7cOHk8Hn300UeBmA8AAAAAwAe/k7dJkyapb9+++utf/6rt27cHYk4AAAAAgJPU6GmTL7/8ss/91157raZPn65evXrp8ssv17nnnquEhIQqzzV+/PiaDA0AAAAA9VqNkrfrr79eLper0uOGYWjx4sVavHhxledxuVx1LnkLjSLdKTaPj4DyeKRdy6Xu0yS32+7ZAAAAwGY1St7atm1bZfJWn9lRpJui3HWcv0W6KcoMAABQp9QoecvIyLBoGgAAAACAqvj9wBIAAAAAgPVqtPJWE0VFRVqxYoW2bdumqKgonX322RowYIBVwwEAAABAnVbj5C03N1fvvPOOJOnKK69UVFRUhTbr16/X2LFjtXfv3nL7zz33XL399ttKTk6u5XQBAAAAoH6q8W2TaWlpuv766/Xkk0/6TNwOHjyoCy+8UHv37pVhGOW+vv76a11yySUBmTgAAAAA1Cc1Tt7Wrl0rSbr66qt9Hp89e7YOHTrx1MXrrrtOX3zxhf73v//prrvukmEY2rBhg5YuXerHlAEAAACg/qnxbZPffPONXC6XLrjgAp/HFy9eLJfLpVGjRumll14y9z/++OPKysrSokWLtGzZMl1++eW1n3UIsqfOW0qQx0NQUecNAAAAZdR45e3XX39VRESEunXrVuHY5s2bdfDgQUnSHXfcUeH4nXfeKUnauHFjTYcFAAAAgHqtxitvBw4cUGJiosLCKuZ933zzjSQpMjLS55Mle/ToIZfLpX379tViqqHNjiLdEoW66zSKdAMAAKCMGq+8lZSUKCcnx+exDRs2SJK6du2qyMjICscjIiLUsGFDHTt2rKbDAgAAAEC9VuPkrVmzZiouLtaOHTsqHPvyyy/lcrnUt2/fSvvn5eUpLi6upsMCAAAAQL1W4+Tt7LPPliS98MIL5fZv375d33//vSTp/PPP99l3165dKioqUuvWrWs6LAAAAADUazVO3v785z/LMAw98cQTmjNnjrZt26a0tDRdccUVMgxDcXFxGjVqlM++n332maQTn30DAAAAAFRfjZO3K664Qn/4wx9UXFys++67T926ddPw4cP1448/yuVyafLkyUpISPDZ980335TL5fL5MBMAAAAAQOVqnLxJ0rvvvquLL75YhmGYX5J00003afr06T77bN++XStWrJAkXXjhhbWcLgAAAADUTzUuFSBJSUlJeu+99/TLL7+Yn3Pr27evTjvttEr7uN1uvfvuu3K73erQoUOtJhvK7CnSLVGouw6jSDcAAADKqFXyVqpjx47q2LFjtdq2a9dO7dq182c4AAAAAKi3/Ere8P8Es0h3jQpzU6gZAAAAqBNq9Zk3AAAAAEBwkbwBAAAAgAOQvAEAAACAAzgmeTt8+LBeeukljRs3Tt26dVNcXJyioqLUunVrjR49Wu+8884pz5Gbm6uUlBT17NlT8fHxSkpKUt++ffX444+rqKgoCK8CAAAAAGrHMQ8sSU5OVnFxsfl9dHS03G63MjMzlZmZqXfffVcjR47U0qVLFRsbW6H/rl27NGjQIGVkZEiSYmNjVVhYqPXr12v9+vVavHix0tLS1LBhw2C9JAAAAACoNsesvBUXF6tfv3569tlntWPHDh07dkx5eXlKT0/XjTfeKEn66KOPNHHiRJ99R40apYyMDLVo0UKpqanKz89XQUGB3njjDSUkJGjjxo0aN25csF8WAAAAAFSLY1bePv30Uw0ePLjC/nbt2mnBggWKiIjQ888/r1dffVWPPvqo2rRpY7ZZtGiRfvzxR0nSsmXLdN5550mSwsLCdOWVV8rr9erqq6/W8uXLlZaWpiFDhtR4fsEt0p0SpHEAAAAAhArHrLz5StzKKl19k6T169eXO7Zo0SLzHKWJW1lXXXWV2rdvL0l6+eWX/Z0qAAAAAAScY1beTiU6OtrcLikpMbcLCgr0xRdfSJJGjhzps6/L5dIFF1yg5557Th9//HGtxg9mke5SNSrW7VQUGQcAAAAkOWjl7VRWr15tbvfs2dPc3rJli7xerySpR48elfYvPbZ//35lZWVZM0kAAAAAqKU6sfKWnZ2tWbNmSZIGDhyozp07m8f27dtnbrdq1arSc5Q9tm/fPjVq1Mhnu8LCQhUWFprf5+TkSJLcESWSSnz2sYrHW2dy78p5PHbPwDae/3vtnnr8bwDrEF+wCrEFKxFfsEqgYsvq2HR88ub1enXttdfq119/VXR0tJ5++ulyx3Nzc81tXyUEfB0r2+dks2bN0syZMyvsv2JCRpXnt8LyXb2COp4tdi23ewa2S01NtXsKqMOIL1iF2IKViC9Yxd/YKigoCNBMfHN88nbnnXfqgw8+kCQ988wzOvPMMy0db9q0aZo8ebL5fU5Ojtq0aaMlL7aTlGTp2Cd7c87SoI5ni+7T7J6BbTwej1JTUzVs2DC53W67p4M6hviCVYgtWIn4glUCFVuld+VZxdHJ2913322utD3xxBOaMGFChTYJCQnmdlWZcNljZfucLCoqSlFRURX2e4rDJW94teYdKO4wb1DHswUXZrndbn5AwTLEF6xCbMFKxBes4m9sWR2Xjv3Q1D333KPHH39ckjR37lxNmjTJZ7uWLVua25mZmZWer+yxsn0AAAAAIBQ4cuVt6tSpmjt3riTpscce05QpUypt27VrV4WFhcnr9WrTpk2VlgvYtGmTJCk5ObnSh5VUJbhFukulBHk8AAAAAHZx3Mrb3XffXS5xmzp1apXtY2Nj1b9/f0nSihUrfLYxDEMrV66UJA0fPjyAswUAAACAwHDUytvdd99d7lbJqlbcyrruuuu0du1arVq1Sl9//bXOPffccseXLFminTt3SpLGjx9fq7lZWaTbscW4KbANAAAABIxjVt7KfsZt3rx51U7cpBPJW8+ePWUYhsaOHau0tDRJJ8oMLFmyRDfffLMkaeTIkRoyZEjgJw8AAAAAfnJE8rZ7927NmTNHkhQWFqbZs2crOTm50q/S2ypLRURE6L333lO7du2UmZmpoUOHKi4uTnFxcfrTn/6knJwc9e7dW4sXL7bj5QEAAADAKTnitkmv11tu+8CBA1W2z8vLq7CvXbt2+uGHHzR37ly9/fbbSk9Pl9vtVvfu3fXnP/9Zt99+uyIjIwM+dwAAAAAIBEckb+3atZNhGH6fJyEhQTNnztTMmTMDMCsAAAAACB5H3DYJAAAAAPUdyRsAAAAAOIAjbpt0AmuLdKdYdF4AAAAATkHyFiBW1nmrjGPrv6F6vGGSekmbZ0lh3lM2B2qE+IJVysbWWdPtng0A1CncNgkAAAAADkDyBgAAAAAOQPIGAAAAAA5A8gYAAAAADkDyBgAAAAAOQPIGAAAAAA5A8gYAAAAADkCdtwCxtkh3ZVKCPB6CyuORdi2Xuk+T3G67Z4O6hviCVcrGFgAgoEjeAsSOIt0ShbrrNIoow0r1Mb7OTLF7BgAA+IXbJgEAAADAAUjeAAAAAMABSN4AAAAAwAFI3gAAAADAAUjeAAAAAMABSN4AAAAAwAEoFRAg9tR5k6j1VodRhwtWIr4AAHAcVt4AAAAAwAFYeQsQu4p01xRFvR2kPhZRRvAQXzgZRcwBIOSx8gYAAAAADkDyBgAAAAAOQPIGAAAAAA5A8gYAAAAADkDyBgAAAAAOQPIGAAAAAA5AqYAAsa9Id02l2D0BVBdFlGEl4gsAAMdh5Q0AAAAAHICVtwAJhSLdFOCuYyiiDCsRX7BKqMcWxcgBOBgrbwAAAADgACRvAAAAAOAAJG8AAAAA4AAkbwAAAADgACRvAAAAAOAAJG8AAAAA4ACUCgiQ0CjSnWLz+AgoiijDSsQXrEJsAYBlWHkDAAAAAAdg5S1AKNKNgPNV6JbisgAAAPUWK28AAAAA4AAkbwAAAADgACRvAAAAAOAAJG8AAAAA4AAkbwAAAADgACRvAAAAAOAAlAoIEIp0I+AodAsAAIAyWHkDAAAAAAdg5S1Aglmkm2Lc9YSvIt12oTg4AACA7Vh5AwAAAAAHIHkDAAAAAAcgeQMAAAAAByB5AwAAAAAHIHkDAAAAAAcgeQMAAAAAB6BUQIAEt0h3SpDGga0o0g0AAIAySN4CJJh13sqyveYb9b8AAACAoOC2SQAAAABwAJI3AAAAAHAAkjcAAAAAcACSNwAAAABwAJI3AAAAAHAAkjcAAAAAcACSNwAAAABwAOq8BUhwi3SXlWLDmAAAAACCjeQtQOwq0l2W7QW7EVjeMEm9pM2zpDDviX0URQcAAKi3uG0SAAAAAByA5A0AAAAAHIDkDQAAAAAcwDHJW0FBgT766CM9/PDDGjNmjE477TS5XC65XC6lpKRU6xwHDhzQlClT1LlzZ8XExKhRo0YaOHCgFixYIMMwrH0BAAAAAOAHxzyw5JtvvtGFF15Y6/4bNmzQiBEjdPjwYUlSfHy8cnNz9fnnn+vzzz/X0qVL9d577ykyMjJQUwYAAACAgHHMypskNWzYUEOGDNHUqVP1+uuvKzk5uVr9jh49qosvvliHDx9Wly5d9O233yo3N1f5+fl6+umn5Xa7tXLlSk2aNMnaFwAAAAAAteSYlbeBAwcqKyur3L777ruvWn3nzp2r/fv3KyYmRsuXL1f79u0lSZGRkbrtttuUk5Oj+++/Xy+88IImTZqkTp061Xh+9tV5KyvF5vERUB6PtGu51H2a5HbbPRsAAADYzDErb+Hh4bXu+/LLL0uSrrrqKjNxK+v2229XfHy8SkpKtHjx4lqPAwAAAABWcczKW21t27ZNu3fvliSNHDnSZ5v4+HgNHDhQH330kT7++GPNnDmzxuNQpBsB56tId6iieDgAAIDlHLPyVlubNm0yt3v06FFpu9JjP/30k+VzAgAAAICaqvPJ2759+8ztVq1aVdqu9FhOTo7y8vIsnxcAAAAA1ESdv20yNzfX3I6Nja20Xdljubm5io+P99musLBQhYWF5vc5OTmSJHdEiaQSP2frH4+3zufi9Urp++mI99XjsXsGqCHP/71nHt47BBixBSsRX7BKoGLL6tis88lboM2aNcvnZ+KumJBRZXIYDMt39bJ1fFgjdU9Pu6dwaruW2z0D1FJqaqrdU0AdRWzBSqESX2FhYQoLc8AfWVEtERERWrVqlbxer7ze2j1voKCgIMCzKq/OJ28JCQnmdkFBgRITE322K/sPXbbPyaZNm6bJkyeb3+fk5KhNmzZa8mI7SUl+z9cfb85Zauv4CCyPN0ype3pqWJsf5Q71B5Z0n2b3DFBDHo9HqampGjZsmNyUokAAEVuwUijEl9fr1eHDh5WXl6fi4mJb5oDAMwxDx48fV3R0tFwulyIiIpSQkKBGjRrVKEEvvSvPKnU+eWvZsqW5nZmZWWnylpmZKUlKTEys9JZJSYqKilJUVFSF/Z7icMlb+3IGgRDyv+CjVtxh3tB/b/kFzbHcbje/YMMSxBasZFd8lZSUKDMzU4WFhUpKSlJ8fLzCw8PlcrmCPhcEltfrVV5enuLi4mQYhvLy8nT06FEVFhaqTZs21S5bZnVc1vnkrewTJjdt2qSuXbv6bFf6VMpu3brVahyKdCPgKNINAEBIOXTokAoLC9W2bVvFxMTYPR0EkNfrVVFRkWJiYhQWFqb4+HglJSVp9+7dOnTokJo3b273FCXVg6dNdurUSW3btpUkrVixwmeb/Px8rV27VpI0fPjwoM0NAAAAzmAYhnJzc5WUlETiVk/ExMQoMTFRubm5MgzD7ulIqgcrby6XS+PHj9fDDz+sN954Q3//+9/Vrl27cm2eeeYZ5eXlKTw8XNdcc02txrGzSDfFuWuIgtIAAKCGPB6PPB5PlR+vQd2TkJCg7OxseTweRUZG2j0dZ628HTlyRIcOHTK/Sp8CU1BQUG7/yXXa7r77biUnJ6ugoEAXXXSRNmzYIEkqKirSc889p7///e+SpFtuuUWdOnUK7osCAABAyCv9vbO6n31C3VD6ftf26ZOB5qjkrXfv3mratKn5tWfPHknSnDlzyu3/29/+Vq5fUlKSPvjgAzVu3Fg//fST+vTpYz6Y5K9//auKioo0fPhwPfHEE3a8LAAAADgEDyepX0Lt/XZU8uaPc845R5s3b9Zdd92lM844Qx6PR3FxcRowYIDmz5+vjz76yOdTJAEAAAAgFDjqM28ZGRl+9W/evLnmzZunefPmBWZCAAAAABAk9WblDQAAAACcjOQNAAAAABzAUbdNhjJ7i3Sn2DQuAAAAKvghxe4ZBIbF5ZUMw9DSpUv12muv6bvvvtPBgwcVHh6u5s2bq0WLFurXr58GDhyoIUOGKDEx0ex3/fXXa9GiReXOVbawdocOHdS7d2+NGDFCw4cPV1hY3VmvInkDAAAAEFTZ2dkaPXq01qxZY+6LiIhQbGysdu/erZ07d+qLL77QE088oZdeeknXX399hXOEhYWpadOm5vf5+fnas2eP9uzZozVr1ujJJ59UmzZt9MQTT2js2LHBeFmWI3kLkGAW6Q75otwUwQYAAEAVxo8frzVr1ig8PFyTJk3SxIkTdfrppyssLEzFxcX66aeftGLFCr322muVnqNNmzYVHmhYVFSkH374QR9++KGee+457dmzR5dffrmmTZumRx991OJXZb26s4YIAAAAIORt375d77//viTp4Ycf1ty5c3XGGWeYtzdGRETozDPP1D333KPvv/9eV155ZbXPHRkZqT59+mjGjBnavHmzBg8eLEmaNWtWlYmgU5C8AQAAAAia77//3ty+9NJLT9k+JiamVuM0btxYb7/9tlq1aiVJevDBB+XxeGp1rlBB8gYAAADAFnv37rX0/A0aNNCkSZMkSenp6Vq7dq2l41mN5A0AAABA0PTt21cul0uSNGXKFP3888+WjnfRRReZ22UfkOJEJG8AAAAAgqZdu3a66aabJEk//vijunTporPPPlu33XabXnzxRW3atEmGYQRsvC5duigyMlKStGPHjoCd1w48bRIAAABAUD377LNKTk7WvHnzlJ+fr40bN2rjxo3m8WbNmumaa67Rvffeq+bNm/s1lsvlUsOGDXXgwAFlZWX5O3VbkbwFSHCLdKcEaRwAAAAg8CIiIvTQQw9pypQpev/997VmzRp9++232rJli4qKinTw4EE98cQTeuWVV/Thhx+qX79+dk85JHDbJAAAAABbJCUlady4cZo/f76+//57HT16VKmpqRo1apQk6dChQxo7dqyOHz9e6zEMw1B2drYkBXGxxRqsvAWI1UW6A16Ym0LaAAAACDHR0dEaOnSohg4dquuvv16LFi3S3r17tWLFCo0ePbpW59y6dasKCwslSaeffnoAZxt8rLwBAAAACDm33HKLub1t27Zan+fDDz80twcNGuTPlGxH8gYAAAAg5MTHx5vbUVFRtTpHdna2/vWvf0k6seo2YMCAgMzNLiRvAAAAAIImPT29WrXdFi1aZG6fffbZNR4nKytLY8eONQuBP/LII4qIcPanxkjeAAAAAATN5s2b1bVrV1100UV6+eWXlZGRYR7zeDzauHGjbrjhBs2bN0+S1K9fv2qvmHk8Hm3YsEEPPfSQunXrpk8//VSS9OCDD+rKK68M+GsJNmenngAAAAAcxe12y+v1avny5Vq+fLkkKTIyUvHx8Tpy5Ei5At1nn3223nnnHYWFVVxz2rNnj5KTk83vjx07ptzc3HL927Ztq3/961+1fthJqCF5AwAAABA0I0aM0Pbt27V8+XJ9/vnn2rRpk/bu3avs7GzFxsaqZcuW6t27t8aMGaMrrrjCZ+ImSV6vVwcOHJB0ohB3fHy8WrVqpQ4dOujss8/WBRdcoGHDhlXa34lI3gLE+iLdKRaeGwAAAAFDSaZT6tixo+644w7dcccdNe67cOFCLVy4MPCTcgCStwChzhsAAAAAK9WdNUQAAAAAqMNI3gAAAADAAUjeAAAAAMABSN4AAAAAwAFI3gAAAADAAUjeAAAAAMABSN4AAAAAwAGo8xYgFOkGAAAAYCWStwCxukh3qYAX6w4ECn4DAAAAluO2SQAAAABwAJI3AAAAAHAAkjcAAAAAcACSNwAAAABwAJI3AAAAAHAAkjcAAAAAcABKBQSI9XXeSqUEYQwAAAAAoYaVNwAAAABBlZKSIpfLVeErOjparVu31iWXXKK33npLhmGU67dw4UKf/eLj49WyZUv16dNHN910kxYtWqT8/HybXp11WHkLkGAV6a6KLQW8KdANAABQzqhRds8gMN5/PzjjNG/e3Nw+evSoMjMzlZmZqffff18LFy7UO++8o6ioqAr9mjRpovDwcElSUVGRDhw4oF9//VUbNmzQf/7zH/3tb3/T1KlTdf/99ysiom6kPay8AQAAALDN/v37za/8/Hxt2rRJw4YNkyR99NFHevDBB332+/bbb81+WVlZKi4u1tatW/Xvf/9bPXv2VF5enmbMmKFhw4apsLAwmC/JMiRvAAAAAEJCWFiYunfvrvfee08dO3aUJD3//PMqLi4+ZV+Xy6XOnTtr4sSJ2rhxoyZPnixJWr16te644w5L5x0sJG8AAAAAQkp0dLSuuOIKSVJubq62bt1ao/7h4eF6/PHHddFFF0mS/vOf/+jnn38O+DyDjeQNAAAAQMhp3bq1uZ2Tk1Orc6SkpEiSSkpK9OqrrwZiWrYieQMAAAAQcjIyMsztRo0a1eocffr0UbNmzSRJa9asCcS0bEXyBgAAACCk5OTkaPHixZJOJG6dOnWq9bl69eolSdqxY0dA5manuvHMzBAQvCLdVUmxeXwAAACg9rKzs7Vhwwbde++92rdvnyTpzjvvVFhY7decSlftsrKyAjJHO5G8AQAAALCNy+Wq9Ni4ceP0wAMPBHE2oY3kLUBCoUi3VWwp/g3JGyapl7R5lhTmtXs2qGuIL1iF2IKVqoqvM1PsmBECoGyR7qioKDVp0kS9e/fWNddco8GDB/t9/tIVN/vvkvMfyRsAAAAA2+zfv9/S8//www+SpNNPP93ScYKBB5YAAAAAqJPWr1+vAwcOSJIGDRpk72QCgOQNAAAAQJ00c+ZMSSeKdo8bN87m2fiP5A0AAABAnVJSUqIpU6bogw8+kCTdfPPN6tixo82z8h+feQMAAADgeIZh6JdfftGqVav0zDPPmJ91GzJkiP71r3/ZPLvAIHkDAAAA4Dh9+/ZVeHi4JMnj8ejo0aMqKSkxjyckJOjee+/Vvffeq4iIupH21I1XEQJCo0i3VVLsnkD95PFIu5ZL3adJbrfds0FdQ3zBKsQWrER8oYxDh/5fma7Y2Fg1bdpUrVq10llnnaU//OEPGjt2rOLi4mycYeCRvAEAAAAB9P77ds8g9KWkpCglJaXG/a6//npdf/31AZ+PU5C8BUgoFOmmmHYd46sQKQVIAQAA6i2eNgkAAAAADkDyBgAAAAAOQPIGAAAAAA5A8gYAAAAADkDyBgAAAAAOQPIGAAAAAA5AqYAACY0i3Sk2j4+AohApAAAAymDlDQAAAAAcgJW3AKFINwLOV5FuJ6PAOACgDjAMw+4pIIhC7f1m5Q0AAAA4hbCwE782l5SU2DwTBFPp+136/tstNGYBAAAAhDC32y232628vDy7p4Igys3NNd/7UEDyBgAAAJyCy+VSQkKCjh49qmPHjtk9HQTBsWPHlJOTo4SEBLlcLrunI6kefuYtNzdXjz/+uJYtW6b09HSFh4erU6dOuuqqq3T77bcrMjLS7ikCAAAgBDVp0kTHjh3T7t27lZiYqISEBIWHh4fML/aoPa/Xq6KiIh07dkyGYSg3N1c5OTmKiopSkyZN7J6eqV4lb7t27dKgQYOUkZEhSYqNjVVhYaHWr1+v9evXa/HixUpLS1PDhg3tnSgAAABCTnh4uNq0aaNDhw4pNzdX2dnZdk8JAWIYho4dO6aYmBi5XC653W41aNBATZo0UXh4uN3TM9Wb5K24uFijRo1SRkaGWrRooZdffllDhw6V1+vVkiVLdPPNN2vjxo0aN26cPvzwQ7unCwAAgBAUHh6u5s2bq1mzZvJ4PPJ668AToSGPx6PPPvtM559/viIjI+V2u0NyRbXeJG+LFi3Sjz/+KElatmyZzjvvPEknnhxz5ZVXyuv16uqrr9by5cuVlpamIUOG1Oj8FOlGwFGkGwCAkOVyufi4TR0SHh6u4uJiRUVFhczDSXypV8mbJA0ePNhM3Mq66qqr9MADDyg9PV0vv/xyjZO3QNd5o2YbglrnjRpsAAAAIa9ePG2yoKBAX3zxhSRp5MiRPtu4XC5dcMEFkqSPP/44aHMDAAAAgOqoF8nbli1bzPuRe/ToUWm70mP79+9XVlZWUOYGAAAAANVRL26b3Ldvn7ndqlWrStuVPbZv3z41atSoQpvCwkIVFhaa3+fk5EiS3BElkkoCMNsTPN56kVejCqUxEJRY8HisHwMhxfN/77mH9x4BRmzBSsQXrBKo2LI6NutF8pabm2tux8bGVtqu7LGyfcqaNWuWZs6cWWH/FRMyqjx3TS3f1Stg54Kzpe7paf0gu5ZbPwZCUmpqqt1TQB1FbMFKxBes4m9sFRQUBGgmvtWL5C2Qpk2bpsmTJ5vf5+TkqE2bNlryYjtJSQEb5805SwN2LjiTxxum1D09NazNj3Jb/cCS7tOsPT9CjsfjUWpqqoYNGxbST9WC8xBbsBLxBasEKrZK78qzSr1I3hISEsztqrLhssfK9ikrKipKUVFRFfZ7isMlb+AK+Fn+yzocwx3mtT4e+AFYb7ndbn4BgiWILViJ+IJV/I0tq+OyXnywqmXLluZ2ZmZmpe3KHivbBwAAAADsVi9W3rp27aqwsDB5vV5t2rSp0nIBmzZtkiQlJyf7fFhJVQJfpDslgOeCI1GkGwAAAGXUi+QtNjZW/fv319q1a7VixQpNnTq1QhvDMLRy5UpJ0vDhw6t9bsMwJJ14wAnL9wgkj8ejgoIC5eTkEFsIOOILViG2YCXiC1YJVGyVfuatNEcItHqRvEnSddddp7Vr12rVqlX6+uuvde6555Y7vmTJEu3cuVOSNH78+Gqf9/Dhw5Kk9u3bB26yAAAAABwrNzdXSUmBe5hhKZdhVVoYYoqLi3X22Wfrxx9/VKtWrbRo0SINGTJEXq9Xy5Yt00033aScnByNHDlSy5dX/7Hp2dnZatiwoXbv3m3JG4T6q/RJpnv27FFiYqLd00EdQ3zBKsQWrER8wSqBii3DMJSbm6uWLVsqLCzwjxepNytvEREReu+99zR48GBlZGRo6NChio2Nldfr1fHjxyVJvXv31uLFi2t03tI3JSkpiYsILJGYmEhswTLEF6xCbMFKxBesEojYsnJBp148bbJUu3bt9MMPP2j69Onq0aOHXC6X3G63zjnnHM2dO1dfffWVGjZsaPc0AQAAAKCCerPyViohIUEzZ87UzJkz7Z4KAAAAAFRbvVp5s0JUVJRmzJjhs3A34A9iC1YivmAVYgtWIr5gFafEVr15YAkAAAAAOBkrbwAAAADgACRvAAAAAOAAJG8AAAAA4AAkbwAAAADgACRvtZSbm6uUlBT17NlT8fHxSkpKUt++ffX444+rqKjI7unBAgUFBfroo4/08MMPa8yYMTrttNPkcrnkcrmUkpJSrXMcOHBAU6ZMUefOnRUTE6NGjRpp4MCBWrBggarz7KAdO3Zo4sSJat++vaKjo9W0aVONGDFCy5Ytq9b43333ncaNG6fWrVsrKipKLVq00GWXXaZPP/20Wv1hncOHD+ull17SuHHj1K1bN8XFxSkqKkqtW7fW6NGj9c4775zyHP5el+yOT1jju+++08yZM3XJJZeoS5cuaty4sdxutxo3bqz+/fvrkUceUVZWVpXnsDs2uHY5yz//+U/z56PL5aqyLdctVGbhwoXl4qiyr08++aTSc9h97Vm1apUuu+wytWjRwvyZPm7cOH333XfV6u+TgRrLyMgw2rVrZ0gyJBmxsbFGVFSU+X3v3r2NrKwsu6eJAFu1apX5Hp/8NWPGjFP2X79+vdG4cWOzT3x8vBEREWF+P2LECKOwsLDS/h9++KERGxtrtk9MTDTCwsLM72+44QbD6/VW2n/+/PnlxktKSjJcLleNXgOsU/a9kWRER0cbcXFx5faNHDnSyM/P99nf3+uS3fEJ69x2220VYishIaHcviZNmhjr1q3z2d/u2ODa5Sxbt241oqOjy8VXZbhuoSovvfSSIckICwszmjdvXunXZ5995rO/3deeGTNmmG1dLpeRlJRkfh8REWHMnz+/Vv8uJG815PF4jJ49exqSjBYtWhipqamGYRhGSUmJ8cYbb5g/EC+88EKbZ4pAW7VqldGwYUNjyJAhxtSpU43XX3/dSE5OrtZ/4OzsbLNtly5djG+//dYwDMMoLCw0nn76acPtdhuSjFtvvdVn/507d5q/yPfv39/Ytm2bYRiGkZuba0yfPt28GMyePdtn/3Xr1hnh4eGGJGP06NHGnj17DMMwjEOHDhkTJ040+7/55pu1/NeBvyQZ/fr1M5599lljx44d5v709HTjxhtvNN+jcePGVejr73XJ7viEtRYtWmTMmTPH+PLLL40jR46Y+3Nzc41FixYZTZs2NSQZzZo1M7Kzs8v1tTs2uHY5S0lJifH73//ekGScd955VSZvXLdwKqXJ22mnnVbjvnZfe958802zzcSJE41Dhw4ZhmEYe/bsMUaPHm1IMsLDwyv9o1lVSN5qaMGCBeab4esf/LXXXjOPf/LJJzbMEFYpLi6usO+0006rVvL24IMPGpKMmJgYY+fOnRWOP/roo+Z/5NILTFnjxo0zJBnJycnlfvkqdcstt5h/VfL1V8oBAwYYkoyePXsaRUVFFY6PGDHCkGS0a9fO5+uE9T799NMqj5f9YbF79+5yx/y9Ltkdn7DXypUrzfh49dVXyx2zOza4djnLk08+aUgyrrnmmnKrDr5w3cKp+JO82XntKS4uNn8/vOCCCyr0LSwsNHr06GFIMgYMGFDj10byVkMDBw40JBmDBw/2edzr9Rrt27c3JBnjx48P8uwQbNVN3tq2bWsu0fuSm5trxMfHG5KM6dOnlzuWl5dnxMTEGJKMmTNn+uyfnp5u/pB78cUXyx3bsWOHeWzRokU++69evdpsc6okAvb45ptvzPfo7bffLnfM3+uSnfEJ+x09etR8f/75z3+WO8a1C9VVutLRuHFj4+DBg6dM3rhu4VRqm7zZfe1JS0szj61Zs8Zn/4ULF5ptfP3xoSo8sKQGCgoK9MUXX0iSRo4c6bONy+XSBRdcIEn6+OOPgzY3hK5t27Zp9+7dkiqPm/j4eA0cOFBSxbj5/PPPdezYsSr7t2vXTl27dvXZPzU11dwujc2TDRgwQAkJCT77IzRER0eb2yUlJea2v9clu+MT9lu7dq25ffrpp5vbdscG1y5nufnmm5Wfn6958+apadOmVbblugUr2X3tKe2fkJCg/v37++xfdl41jS+StxrYsmWLvF6vJKlHjx6Vtis9tn///lM+wQt136ZNm8zt6sTNTz/95Ff/zZs3++zfrFkzNWvWzGff8PBwdenSxWd/hIbVq1eb2z179jS3/b0u2R2fsEdhYaEyMjL09NNP69prr5UkdezYUaNGjTLb2B0bXLucY/78+UpLS9PQoUM1fvz4U7bnuoWa+O2333TOOecoPj5eMTEx6tChg8aNG1fu52JZdl97Svt37dpV4eHhPvs3a9bM/CNHTeOL5K0G9u3bZ263atWq0nZlj5Xtg/qppnGTk5OjvLy8Cv0bNmyomJiYU/Y/OeZKv69q7Kr6w37Z2dmaNWuWJGngwIHq3Lmzeczf65Ld8Yngio6OlsvlUnR0tNq3b6/bb79dR44cUf/+/ZWWlqaoqCizrd2xwbXLGTIzMzV16lTFxMTo+eefr1YfrluoiYKCAn333XeKjIyU1+tVenq6Fi9erMGDB2vChAkqLi4u197ua4/V1y6StxrIzc01t2NjYyttV/ZY2T6on/yNm9LtqvqWPX5yzPnbH/byer269tpr9euvvyo6OlpPP/10ueOBii9/+xNfzpCcnKzmzZsrLi7O3Dd48GA9+eSTatu2bbm2dscGseUMEydO1NGjR5WSkqIOHTpUqw/XLVRHy5YtNWPGDP3vf//T8ePHlZWVZd5yO3ToUEnSSy+9pLvuuqtcP7uvPVbHF8kbAISwO++8Ux988IEk6ZlnntGZZ55p84zgZBkZGdq/f7/y8vJ04MABzZ07V99//7369eun6dOn2z09OMyrr76qDz/8UGeddZYmT55s93RQxwwfPlwpKSk688wzzbsCwsPD9fvf/14rV67UpZdeKkl69tlntX37djunGlQkbzVQ+sFE6cQSbmXKHivbB/WTv3FTul1V37LHT445f/vDPnfffbe50vbEE09owoQJFdoEKr787U98OU+zZs00ZcoUrVixQi6XS//4xz/MPxRI9scGsRXaDhw4oEmTJik8PFzz589XREREtfty3YK/wsLCNHfuXEkn7lB5//33zWN2X3usji+Stxpo2bKluZ2ZmVlpu7LHyvZB/VTTuElMTFR8fHyF/keOHDGfnlRV/5NjrvT7qsauqj/scc899+jxxx+XJM2dO1eTJk3y2c7f65Ld8Qn79evXTwMGDJAkvfDCC+Z+u2ODa1dou++++3T48GHdcsst6tKli/Ly8sp9FRUVmW1P3sd1C4HQsWNHNWnSRJK0c+dOc7/d1x6rr10kbzXQtWtXhYWd+Ccr+ySbk5UeS05OVqNGjYIyN4Susk86qk7cdOvWza/+3bt399n/4MGD+u2333z2LSkp0datW332R/BNnTpVc+bMkSQ99thjmjJlSqVt/b0u2R2fCA2lH5z/5ZdfzH12xwbXrtCWnp4uSXruueeUkJBQ4av0IUuSzH333HOPJK5bsJbd157S/lu2bClX2qessueuaXyRvNVAbGysWa9hxYoVPtsYhqGVK1dKOnGvLtCpUyfzQQCVxU1+fr5Za+nkuBkwYID5tKTK+u/atUtbtmzx2X/YsGHmdmX9v/jiC/MDs8Stve6++27zVpDHHntMU6dOrbK9v9clu+MToaH0r9Zlb9+xOza4dtVdXLcQCDt27NChQ4ckSe3btzf3233tKe2fm5urdevW+exf9rw1jq8alfSGsWDBAkOS4XK5jK+++qrC8TfffNOsmP7JJ5/YMEME02mnnWZIMmbMmFFluwcffNCQZMTGxhrp6ekVjs+ePduQZISHhxvbtm2rcHzcuHGGJKNFixZGdnZ2heO33nqrIclISEgwsrKyKhwfMGCAIcno1auXUVRUVOH4yJEjDUnGaaedZhQXF1f5WmCdKVOmmNePuXPnVrufv9clu+MT1ikuLja8Xm+VbT755BPD5XIZkox77rmn3DG7Y4Nrl3PNmDHDvO74wnULVTnVdcvr9RqXXXaZIckICwsztm7dWu64ndee4uJi8/fDCy+8sELfoqIi48wzzzQkGQMGDKjydfpC8lZDHo/H6NmzpyHJaNWqlXlBKSkpMd566y0jMTHRkGSMHDnS5pnCCllZWcZvv/1mfrVp08aQZEydOrXc/tzc3HL9srOzjeTkZEOS0a1bN2P9+vWGYRhGYWGh8eyzzxqRkZGGJOPWW2/1Oe7OnTuNuLg4Q5IxcOBA4+effzYMwzDy8vKMmTNnmr94zZ4922f/L774wggPDzckGWPGjDH27t1rGIZhHD582LyASTLefPPNQP1ToYamTp1qvg/z5s2rUV9/r0t2xyesk56ebvTq1cv497//bezYsaPcL0S7d+82Zs2aZb53jRo1Mn799ddy/e2ODa5dznWq5I3rFqqSnp5u9O3bt8K1q6SkxPjyyy+NESNGmPHl6z22+9pT9o8Pt956q3H48GHDMAxj7969xpgxY8w/LKxbt67G/zYkb7WQnp5utGvXznxTYmNjjejoaPP73r1781eaOqr0Lymn+rruuusq9F2/fr3RuHFjs01CQoLhdrvN74cPH24cP3680rE//PBDIzY21myflJRkXlgkGTfccEOVf6maP3++ERERYbZv0KCBefGqzuohrLNr1y7zfQgLCzOaN29e5decOXMqnMPf65Ld8QlrpKenl7s2RUZGGk2aNDF/qSn9at++vfHdd9/5PIfdscG1y5lOlbwZBtctVO7ka1dUVJTRpEkTIyoqqtz+G264wfB4PD7PYfe1p+z/AZfLZTRo0MD8PiIiwpg/f36t/m1I3mopJyfHmD59utGjRw8jLi7OSEhIMM455xxj7ty5RmFhod3Tg0X8Sd4MwzD2799v3HXXXcYZZ5xhREdHGw0aNDAGDBhgzJ8/3ygpKTnl+L/88otx8803G+3atTMvZMOGDTOWLl1arflv2LDBuPrqq41WrVoZkZGRRvPmzY3Ro0cbaWlpNflnQICd/EPqVF+V/cDw97pkd3wi8AoLC40lS5YYt912m9GnTx+jZcuWRmRkpBETE2O0bdvWGDVqlLFgwQKjoKCgyvPYHRtcu5ynOsmbYXDdgm8FBQXGU089ZVx99dVGt27djKZNmxoRERFGfHy80aVLF2PChAnG559/fsrz2H3tSUtLM0aPHm00b97ciIyMNFq1amVcffXV5kpxbbgMwzAEAAAAAAhpPG0SAAAAAByA5A0AAAAAHIDkDQAAAAAcgOQNAAAAAByA5A0AAAAAHIDkDQAAAAAcgOQNAAAAAByA5A0AAAAAHIDkDQAAAAAcgOQNAAAAABwgwu4JAABQEyUlJVq2bJk++OADffXVVzp48KAKCgrUoEEDderUSQMHDtQ111yjHj162D3VgPj+++/13//+Vw0aNNCkSZPsng4AwEYuwzAMuycBAEB1fPXVV7ruuuv0888/m/vcbrcSEhKUnZ0tr9dr7h8zZoxef/11RUZG2jHVgFm4cKFuuOEGnXbaacrIyLB7OgAAG3HbJADAEd5//30NGjRIP//8sxo3bqxZs2bp559/VlFRkQ4fPqyioiJ9++23uu+++5SYmKi3335bBQUFdk8bAICA4bZJAEDI2759u8aNG6fCwkJ169ZNK1euVOvWrcu1CQ8PV58+fdSnTx9NnTpVEyZMsGm2AABYg5U3AEDIe/DBB5WTk6Po6Gi98847FRK3kzVq1Ej//e9/lZSUVG7//v37NXXqVHXv3l1xcXGKi4tT9+7ddc899+jAgQM+z7V69Wq5XC65XK4qxyxts3r16ir7//LLL5owYYLatGmjqKgotW7dWjfffLMyMzN9nvOGG26QJO3atcs8T+lXSkpKufYrV67UmDFj1Lp1a0VGRioxMVEdOnTQ8OHDNXfuXGVlZVX5GgAAoY2VNwBASDtw4ICWLl0qSbrmmmvUqVOnavctm3CtWbNGo0ePVnZ2tiQpLi5OkvTTTz/pp59+0oIFC/Tee+9pwIABgZv8SVatWqVLLrlEeXl5SkhIkNfrVWZmphYsWKDly5frm2++UatWrcz2zZs317Fjx5STk6OwsDA1bdq03Pni4+PN7YceekgzZswwv4+NjZVhGEpPT1d6erpSU1PVp08fDRo0yLLXBwCwFitvAICQtmrVKvNBJJdddlmtzrFnzx4zcevWrZs+//xz5eXlKS8vT5999pk6d+6sI0eO6NJLL/W5AhYoY8eO1R//+Edt2bJFOTk5ys/P15tvvqmEhATt27dP06ZNK9d+//79+te//iVJatOmjfbv31/u6+6775Z0YlVu5syZkqTJkycrMzNT+fn5ys3NVXZ2ttauXau//vWvSkhIsOy1AQCsR/IGAAhpmzdvNrd79+5dq3M8+uijys7OVsOGDZWWlqb+/fubxwYOHKhPPvlEiYmJysrK0qxZs/yec2XOOussvfPOO+rSpYskKTIyUn/605/0yCOPSJKWLl2q4uLiGp/366+/ltfrVadOnfT444+rZcuW5rGkpCQNGDBAzzzzjM4555zAvBAAgC1I3gAAIe3w4cPmdqNGjWrc3zAMvfXWW5Kkv/zlL0pOTq7QpnXr1vrLX/4iSXrjjTdqOdNTu//++xUWVvFH76WXXipJOnbsmLZv317j8zZo0ECSlJubq/z8fL/mCAAIXSRvAIA6LT093XxQx9ChQyttN2zYMEknksX09HRL5nLuuef63F92paw2DxXp16+fmjRpol9//VXnnnuunn76aW3dulWUcgWAuoXkDQAQ0ho3bmxu1yaxOXjwoLld9mEgJyv7BMuyfQKpss+cRUT8v+eHeTyeGp+3QYMGev3119W0aVNt3rxZt99+u7p27aqGDRvqkksu0auvvlqr8wIAQgvJGwAgpHXv3t3c3rhxo40zCW1Dhw5Venq6Xn75ZV133XU644wzdPToUb3//vu69tpr1bt3b0sfxgIAsB7JGwAgpA0ePNj8nNg777xT4/7NmjUzt/fu3Vtpu7LHyvYpuyp2/Phxn32PHj1a43lZIS4uTtdee60WLlyon3/+WXv37tXs2bMVHR1trsgBAJyL5A0AENKaN2+usWPHSpJee+01/fzzz9XuaxiG2rdvbz7oJC0trdK2n3zyiaQTt2m2b9/e3N+wYUNze8+ePT77fv3119WeU02VJq61+fxaq1atdM8992jKlCmSpNTU1IDODQAQXCRvAICQ9/DDDys+Pl7Hjh3TmDFjTnn735EjRzR27FgdPXpULpdLV155pSTp+eef1/79+yu037dvn55//nlJ0p///Odyxzp16qSYmBhJ0rJlyyr09Xq9lpYXSExMlCSzuLgvhYWFVZ6jdP6+nnQJAHAOruIAgJDXqVMnvfLKK4qMjNTmzZt11llnafbs2frll1/MNiUlJdq4caOmT5+uDh066O233zaP3X///WrQoIGysrI0dOhQrVu3zjz2xRdfaOjQocrOzlajRo103333lRvb7XabK3+PPvqo3nrrLRUVFUmStm3bpssuu0w//PCDZa+9R48ekqScnByz5MHJZs+erZEjR+qVV14pd/tnYWGh3nrrLc2ZM0eSdNFFF1k2TwCA9VwGzxEGADjEF198oeuvv75c0hYZGan4+HhlZ2fL6/VKklwul6666iotWrRIbrdbkrRmzRpdeuml5ufT4uLiJMmsi9agQQO99957GjhwYIVx9+7dq3PPPVf79u2TdCKhi4mJUU5OjhISEvT+++9r0KBBkqRVq1aZ25K0evVqDR48WFLVtz66XC6f/aUTDyMpveUzISHBvA100qRJmjRpklJSUjRz5kyzfUxMjGJiYnTkyBFzzK5du+rTTz/1WecOAOAMrLwBAByjf//+2rp1q15//XVdc8016tixo6Kjo5Wbm6tGjRppwIABeuCBB7Rlyxa99tprZuImSeeff762bNmiKVOmqGvXrvJ6vTIMQ127dtXdd9+tLVu2+EzcpBNlBL7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" + "
" ] }, "metadata": {}, @@ -39,19 +47,27 @@ " 'PD': mdm_true_counts\n", "}).fillna(0) # NaN 값을 0으로 대체\n", "\n", + "# SD와 PD의 총 갯수 계산\n", + "total_SD = summary_df['SD'].sum()\n", + "total_PD = summary_df['PD'].sum()\n", + "\n", + "# 총 갯수 출력\n", + "print(f\"Total SD: {total_SD}\")\n", + "print(f\"Total PD: {total_PD}\")\n", + "\n", "# 시각화\n", - "fig, ax = plt.subplots(figsize=(10, 8))\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", "\n", - "# Total Counts 먼저 그리기\n", - "summary_df['SD'].plot(kind='barh', ax=ax, color='orange', alpha=0.5, label='SD')\n", + "# Total Counts 먼저 그리기 (굵은 막대로 설정)\n", + "summary_df['SD'].plot(kind='barh', ax=ax, color='orange', alpha=0.5, label='SD', width=0.8) # 막대 폭을 넓게 설정\n", "\n", - "# MDM=True Counts를 그 위에 겹쳐서 그리기\n", - "summary_df['PD'].plot(kind='barh', ax=ax, color='blue', alpha=0.7, label='PD')\n", + "# MDM=True Counts를 그 위에 겹쳐서 그리기 (굵은 막대로 설정)\n", + "summary_df['PD'].plot(kind='barh', ax=ax, color='blue', alpha=0.7, label='PD', width=0.8) # 막대 폭을 넓게 설정\n", "\n", - "# y축 라벨 설정 (5 단위로만 표시)\n", + "# y축 라벨을 10 단위로 설정\n", "y_labels = ax.get_yticks()\n", - "ax.set_yticks(np.arange(min(y_labels), max(y_labels)+1, 5))\n", - "ax.set_yticklabels([int(label) for label in np.arange(min(y_labels), max(y_labels)+1, 5)])\n", + "ax.set_yticks(np.arange(min(y_labels), max(y_labels) + 1, 10))\n", + "ax.set_yticklabels([int(label) for label in np.arange(min(y_labels), max(y_labels) + 1, 10)])\n", "\n", "# 그리드 추가\n", "ax.grid(True)\n", @@ -60,8 +76,122 @@ "plt.legend(prop={'size': 18}) # 레전드 글꼴 크기 설정\n", "plt.xlabel('Counts')\n", "plt.ylabel('Ships')\n", + "\n", + "# 그래프 출력\n", "plt.show()\n" ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tag Description의 평균 글자수: 27.38\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tag Description의 평균 토큰 수: 5.29\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "전체 토큰 수: 328251\n", + "고유 토큰 수: 8283\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# SD와 PD의 총 갯수 계산\n", + "total_SD = summary_df['SD'].sum() # SD의 총 갯수\n", + "total_PD = summary_df['PD'].sum() # PD의 총 갯수\n", + "\n", + "# tag_description의 글자수 계산\n", + "df['tag_description_length'] = df['tag_description'].astype(str).apply(len)\n", + "\n", + "# tag_description의 평균 글자수 계산\n", + "mean_tag_description_length = df['tag_description_length'].mean()\n", + "\n", + "# 결과 출력\n", + "print(f\"Tag Description의 평균 글자수: {mean_tag_description_length:.2f}\")\n", + "\n", + "# 글자수 분포를 히스토그램으로 시각화\n", + "plt.figure(figsize=(10, 6))\n", + "plt.hist(df['tag_description_length'], bins=30, color='skyblue', edgecolor='black', alpha=0.7)\n", + "plt.title('Distribution of Tag Description Lengths')\n", + "plt.xlabel('Tag Description Length (characters)')\n", + "plt.ylabel('Frequency')\n", + "plt.grid(True)\n", + "plt.show()\n", + "\n", + "# tag_description을 ' '로 split한 후 토큰 수 계산\n", + "df['tag_description_tokens'] = df['tag_description'].astype(str).apply(lambda x: len(x.split(' ')))\n", + "\n", + "# tag_description의 평균 토큰 수 계산\n", + "mean_tag_description_tokens = df['tag_description_tokens'].mean()\n", + "\n", + "# 결과 출력\n", + "print(f\"Tag Description의 평균 토큰 수: {mean_tag_description_tokens:.2f}\")\n", + "\n", + "# 토큰 수 분포를 히스토그램으로 시각화\n", + "plt.figure(figsize=(10, 6))\n", + "plt.hist(df['tag_description_tokens'], bins=30, color='lightgreen', edgecolor='black', alpha=0.7)\n", + "plt.title('Distribution of Tag Description Tokens')\n", + "plt.xlabel('Number of Tokens')\n", + "plt.ylabel('Frequency')\n", + "plt.grid(True)\n", + "plt.show()\n", + "\n", + "# 전체 텍스트에서 모든 토큰 수와 고유 토큰 수 계산\n", + "all_tokens = df['tag_description'].astype(str).apply(lambda x: x.split(' ')).sum() # 전체 토큰 리스트\n", + "unique_tokens = set(all_tokens) # 고유 토큰 집합\n", + "\n", + "# 전체 토큰 수와 고유 토큰 수 계산\n", + "total_token_count = len(all_tokens)\n", + "unique_token_count = len(unique_tokens)\n", + "\n", + "# 결과 출력\n", + "print(f\"전체 토큰 수: {total_token_count}\")\n", + "print(f\"고유 토큰 수: {unique_token_count}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/data_preprocess/rule_base_replacement/1.add_tag_name.ipynb b/data_preprocess/rule_base_replacement/1.add_tag_name.ipynb index 9b021a1..3d1baa9 100644 --- a/data_preprocess/rule_base_replacement/1.add_tag_name.ipynb +++ b/data_preprocess/rule_base_replacement/1.add_tag_name.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -17,15 +17,15 @@ "Changes made in ships_idx 1005: 18\n", "Changes made in ships_idx 1008: 22\n", "Changes made in ships_idx 1009: 5\n", - "Changes made in ships_idx 1010: 135\n", + "Changes made in ships_idx 1010: 131\n", "Changes made in ships_idx 1011: 46\n", "Changes made in ships_idx 1012: 2\n", "Changes made in ships_idx 1013: 130\n", "Changes made in ships_idx 1014: 46\n", - "Changes made in ships_idx 1015: 147\n", + "Changes made in ships_idx 1015: 145\n", "Changes made in ships_idx 1016: 191\n", "Changes made in ships_idx 1017: 111\n", - "Changes made in ships_idx 1018: 682\n", + "Changes made in ships_idx 1018: 680\n", "Changes made in ships_idx 1019: 2\n", "Changes made in ships_idx 1020: 10\n", "Changes made in ships_idx 1021: 2\n", @@ -42,21 +42,21 @@ "Changes made in ships_idx 1032: 225\n", "Changes made in ships_idx 1033: 147\n", "Changes made in ships_idx 1035: 132\n", - "Changes made in ships_idx 1036: 12\n", + "Changes made in ships_idx 1036: 5\n", "Changes made in ships_idx 1037: 3\n", - "Changes made in ships_idx 1038: 8\n", + "Changes made in ships_idx 1038: 6\n", "Changes made in ships_idx 1039: 232\n", "Changes made in ships_idx 1042: 20\n", "Changes made in ships_idx 1043: 154\n", - "Changes made in ships_idx 1044: 121\n", - "Changes made in ships_idx 1045: 255\n", + "Changes made in ships_idx 1044: 117\n", + "Changes made in ships_idx 1045: 243\n", "Changes made in ships_idx 1046: 6\n", "Changes made in ships_idx 1047: 12\n", "Changes made in ships_idx 1048: 82\n", "Changes made in ships_idx 1049: 912\n", "Changes made in ships_idx 1050: 46\n", - "Changes made in ships_idx 1051: 63\n", - "Total number of changes made: 4951\n", + "Changes made in ships_idx 1051: 57\n", + "Total number of changes made: 4912\n", "Updated data saved to raw_data_add_tag.csv\n" ] } diff --git a/data_preprocess/rule_base_replacement/2.seperate_number.ipynb b/data_preprocess/rule_base_replacement/2.seperate_number.ipynb index 1f8fce1..325113c 100644 --- a/data_preprocess/rule_base_replacement/2.seperate_number.ipynb +++ b/data_preprocess/rule_base_replacement/2.seperate_number.ipynb @@ -19,7 +19,7 @@ "\n", "# Load the data_mapping CSV file\n", "data_mapping_file_path = '../../data_import/raw_data.csv' # Adjust this path to your actual file location\n", - "# data_mapping_file_path = 'raw_data_add_tag.csv' # Adjust this path to your actual file location\n", + "data_mapping_file_path = 'raw_data_add_tag.csv' # Adjust this path to your actual file location\n", "data_mapping = pd.read_csv(data_mapping_file_path, dtype=str)\n", "\n", "# Backup the original tag_description\n", diff --git a/data_preprocess/split_data.ipynb b/data_preprocess/split_data.ipynb index 11fd087..4957656 100644 --- a/data_preprocess/split_data.ipynb +++ b/data_preprocess/split_data.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 19, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -10,11 +10,11 @@ "output_type": "stream", "text": [ "Final Group Allocation:\n", - "Group 1: Ships_idx = [1003, 1028, 1049, 1044, 1020, 1041, 1045, 1036, 1005, 1006], PD type = 537, PD = 2006, SD = 14719\n", - "Group 2: Ships_idx = [1025, 1035, 1021, 1026, 1002, 1030, 1024, 1037, 1038, 1029], PD type = 537, PD = 1958, SD = 8173\n", - "Group 3: Ships_idx = [1016, 1046, 1031, 1009, 1048, 1043, 1042, 1019, 1018, 1007, 1000], PD type = 534, PD = 2079, SD = 15310\n", - "Group 4: Ships_idx = [1004, 1032, 1039, 1014, 1040, 1017, 1022, 1051, 1008, 1050, 1013], PD type = 532, PD = 2066, SD = 12882\n", - "Group 5: Ships_idx = [1047, 1015, 1027, 1010, 1011, 1001, 1034, 1023, 1012, 1033], PD type = 531, PD = 2064, SD = 10988\n" + "Group 1: Ships_idx = [1025, 1032, 1042, 1046, 1023, 1037, 1024, 1014, 1019, 1008], PD type = 529, PD = 1992, SD = 9855\n", + "Group 2: Ships_idx = [1003, 1028, 1018, 1020, 1033, 1050, 1030, 1051, 1004, 1036], PD type = 528, PD = 2113, SD = 13074\n", + "Group 3: Ships_idx = [1016, 1026, 1043, 1031, 1012, 1021, 1000, 1011, 1006, 1005, 1038], PD type = 521, PD = 2140, SD = 10722\n", + "Group 4: Ships_idx = [1047, 1049, 1010, 1027, 1013, 1022, 1048, 1017, 1045, 1007], PD type = 521, PD = 2102, SD = 15451\n", + "Group 5: Ships_idx = [1039, 1035, 1044, 1009, 1015, 1040, 1001, 1034, 1041, 1002, 1029], PD type = 500, PD = 2183, SD = 12969\n" ] } ], @@ -259,7 +259,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -348,7 +348,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 3, "metadata": {}, "outputs": [ { diff --git a/evaluation/check_accuracy.ipynb b/evaluation/check_accuracy.ipynb index 0a5773e..9d01cb5 100644 --- a/evaluation/check_accuracy.ipynb +++ b/evaluation/check_accuracy.ipynb @@ -2,74 +2,118 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Performance for all_with_p_s.csv:\n", - "TP: 1724, TN: 11907, FP: 919, FN: 272\n", - "Precision: 0.6523, Recall: 0.8637, Accuracy: 0.9196\n" + "Performance for group 1 (test_s.csv):\n", + "TP: 1794, TN: 9954, FP: 1005, FN: 319\n", + "Precision: 0.6409, Recall: 0.8490, Accuracy: 0.8987, F1-Score: 0.7305\n", + "--------------------------------------------------\n", + "Performance for group 2 (test_s.csv):\n", + "TP: 1824, TN: 7716, FP: 866, FN: 316\n", + "Precision: 0.6781, Recall: 0.8523, Accuracy: 0.8898, F1-Score: 0.7553\n", + "--------------------------------------------------\n", + "Performance for group 3 (test_s.csv):\n", + "TP: 1804, TN: 6866, FP: 996, FN: 188\n", + "Precision: 0.6443, Recall: 0.9056, Accuracy: 0.8798, F1-Score: 0.7529\n", + "--------------------------------------------------\n", + "Performance for group 4 (test_s.csv):\n", + "TP: 1916, TN: 12360, FP: 989, FN: 186\n", + "Precision: 0.6596, Recall: 0.9115, Accuracy: 0.9240, F1-Score: 0.7653\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_2997916/1903646223.py:38: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n", + " test_s_csv.fillna('', inplace=True)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Performance for group 5 (test_s.csv):\n", + "TP: 1910, TN: 9800, FP: 955, FN: 273\n", + "Precision: 0.6667, Recall: 0.8749, Accuracy: 0.9051, F1-Score: 0.7567\n", + "--------------------------------------------------\n", + "Average performance across all groups:\n", + "Average Precision: 0.6579\n", + "Average Recall: 0.8787\n", + "Average Accuracy: 0.8995\n", + "Average F1-Score: 0.7521\n" ] } ], "source": [ "import pandas as pd\n", "\n", - "# Set the group number\n", - "group_number = 1 # Change this to the desired group number\n", - "\n", - "# File paths for the two datasets\n", - "test_s_path = f'../post_process/0.result/{group_number}/test_s.csv'\n", - "\n", - "# Load the CSV files\n", - "test_s_csv = pd.read_csv(test_s_path, low_memory=False)\n", - "test_s_csv.fillna('', inplace=True)\n", - "\n", "def evaluate_performance(test_csv):\n", - " # Initialize counters for TP, TN, FP, FN\n", " TP = 0\n", " TN = 0\n", " FP = 0\n", " FN = 0\n", "\n", - " # Iterate over the DataFrame rows\n", " for index, row in test_csv.iterrows():\n", - " # True Positive (TP): s_correct is True and MDM is True\n", " if row['s_correct'] and row['MDM']:\n", " TP += 1\n", - " # True Negative (TN): s_thing is null and MDM is False\n", " elif row['s_thing'] == '' and not row['MDM']:\n", " TN += 1\n", - " # False Positive (FP): \n", - " # 1) s_thing is not null and MDM is False \n", - " # OR \n", - " # 2) s_thing is not null and s_correct is False and MDM is True\n", - " elif (row['s_thing'] != '' and not row['MDM']) or (row['s_thing'] != '' and not row['s_correct'] and row['MDM']):\n", + " elif (row['s_thing'] != '' and not row['MDM']):\n", " FP += 1\n", - " # False Negative (FN): s_thing is null and MDM is True\n", - " elif row['s_thing'] == '' and row['MDM']:\n", + " elif row['s_thing'] == '' and row['MDM'] or (row['s_thing'] != '' and not row['s_correct'] and row['MDM']):\n", " FN += 1\n", "\n", - " # Calculate total\n", " total = TP + TN + FP + FN\n", "\n", - " # Calculate Precision, Recall, and Accuracy\n", " precision = TP / (TP + FP) if (TP + FP) > 0 else 0\n", " recall = TP / (TP + FN) if (TP + FN) > 0 else 0\n", " accuracy = (TP + TN) / total if total > 0 else 0\n", + " f1_score = 2 * (precision * recall) / (precision + recall) if (precision + recall) > 0 else 0\n", "\n", - " return TP, TN, FP, FN, precision, recall, accuracy\n", + " return TP, TN, FP, FN, precision, recall, accuracy, f1_score\n", "\n", - "# Evaluate both datasets\n", - "tp_s_results = evaluate_performance(test_s_csv)\n", + "# Lists to store performance metrics for all folds\n", + "all_precisions = []\n", + "all_recalls = []\n", + "all_accuracies = []\n", + "all_f1_scores = []\n", "\n", - "# Print the results for both datasets\n", - "print(\"Performance for all_with_p_s.csv:\")\n", - "print(f\"TP: {tp_s_results[0]}, TN: {tp_s_results[1]}, FP: {tp_s_results[2]}, FN: {tp_s_results[3]}\")\n", - "print(f\"Precision: {tp_s_results[4]:.4f}, Recall: {tp_s_results[5]:.4f}, Accuracy: {tp_s_results[6]:.4f}\")" + "# Perform evaluation for group 1 to 5\n", + "for group_number in range(1, 6):\n", + " test_s_path = f'../post_process/0.result/{group_number}/test_s.csv'\n", + " test_s_csv = pd.read_csv(test_s_path, low_memory=False)\n", + " test_s_csv.fillna('', inplace=True)\n", + "\n", + " tp_s_results = evaluate_performance(test_s_csv)\n", + "\n", + " print(f\"Performance for group {group_number} (test_s.csv):\")\n", + " print(f\"TP: {tp_s_results[0]}, TN: {tp_s_results[1]}, FP: {tp_s_results[2]}, FN: {tp_s_results[3]}\")\n", + " print(f\"Precision: {tp_s_results[4]:.4f}, Recall: {tp_s_results[5]:.4f}, Accuracy: {tp_s_results[6]:.4f}, F1-Score: {tp_s_results[7]:.4f}\")\n", + " print(\"-\" * 50)\n", + "\n", + " all_precisions.append(tp_s_results[4])\n", + " all_recalls.append(tp_s_results[5])\n", + " all_accuracies.append(tp_s_results[6])\n", + " all_f1_scores.append(tp_s_results[7])\n", + "\n", + "# Calculate and print the averages across all groups\n", + "average_precision = sum(all_precisions) / len(all_precisions)\n", + "average_recall = sum(all_recalls) / len(all_recalls)\n", + "average_accuracy = sum(all_accuracies) / len(all_accuracies)\n", + "average_f1_score = sum(all_f1_scores) / len(all_f1_scores)\n", + "\n", + "print(\"Average performance across all groups:\")\n", + "print(f\"Average Precision: {average_precision:.4f}\")\n", + "print(f\"Average Recall: {average_recall:.4f}\")\n", + "print(f\"Average Accuracy: {average_accuracy:.4f}\")\n", + "print(f\"Average F1-Score: {average_f1_score:.4f}\")\n" ] } ], diff --git a/post_process/tfidf_class/2a.classfiler_albert.ipynb b/post_process/tfidf_class/2a.classfiler_albert.ipynb new file mode 100644 index 0000000..e4b40aa --- /dev/null +++ b/post_process/tfidf_class/2a.classfiler_albert.ipynb @@ -0,0 +1,341 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of AlbertForSequenceClassification were not initialized from the model checkpoint at albert-base-v2 and are newly initialized: ['classifier.bias', 'classifier.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/optimization.py:521: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1 completed. Loss: 5.564172267913818\n", + "Epoch 2 completed. Loss: 4.88321590423584\n", + "Epoch 3 completed. Loss: 3.5059947967529297\n", + "Epoch 4 completed. Loss: 3.18548583984375\n", + "Epoch 5 completed. Loss: 2.8037068843841553\n", + "Epoch 6 completed. Loss: 2.2223541736602783\n", + "Epoch 7 completed. Loss: 1.8634291887283325\n", + "Epoch 8 completed. Loss: 1.3251842260360718\n", + "Epoch 9 completed. Loss: 0.6083177328109741\n", + "Epoch 10 completed. Loss: 0.9423710703849792\n", + "Epoch 11 completed. Loss: 0.5799884796142578\n", + "Epoch 12 completed. Loss: 0.6948736310005188\n", + "Epoch 13 completed. Loss: 0.5177479386329651\n", + "Epoch 14 completed. Loss: 0.47343072295188904\n", + "Epoch 15 completed. Loss: 0.26853761076927185\n", + "Epoch 16 completed. Loss: 0.19693760573863983\n", + "Epoch 17 completed. Loss: 0.3199688494205475\n", + "Epoch 18 completed. Loss: 0.23672448098659515\n", + "Epoch 19 completed. Loss: 0.40235987305641174\n", + "Epoch 20 completed. Loss: 0.28102293610572815\n", + "Epoch 21 completed. Loss: 0.17575399577617645\n", + "Epoch 22 completed. Loss: 0.24652625620365143\n", + "Epoch 23 completed. Loss: 0.109055295586586\n", + "Epoch 24 completed. Loss: 0.19015412032604218\n", + "Epoch 25 completed. Loss: 0.10130400210618973\n", + "Epoch 26 completed. Loss: 0.14203257858753204\n", + "Epoch 27 completed. Loss: 0.1248723715543747\n", + "Epoch 28 completed. Loss: 0.05851107835769653\n", + "Epoch 29 completed. Loss: 0.041425254195928574\n", + "Epoch 30 completed. Loss: 0.0353962741792202\n", + "Epoch 31 completed. Loss: 0.04445452615618706\n", + "Epoch 32 completed. Loss: 0.026403019204735756\n", + "Epoch 33 completed. Loss: 0.028079884126782417\n", + "Epoch 34 completed. Loss: 0.059587348252534866\n", + "Epoch 35 completed. Loss: 0.02851276472210884\n", + "Epoch 36 completed. Loss: 0.09271513670682907\n", + "Epoch 37 completed. Loss: 0.06418397277593613\n", + "Epoch 38 completed. Loss: 0.03638231381773949\n", + "Epoch 39 completed. Loss: 0.022959664463996887\n", + "Epoch 40 completed. Loss: 0.044602662324905396\n", + "Epoch 41 completed. Loss: 0.03491249307990074\n", + "Epoch 42 completed. Loss: 0.039797600358724594\n", + "Epoch 43 completed. Loss: 0.04217083007097244\n", + "Epoch 44 completed. Loss: 0.4122176170349121\n", + "Epoch 45 completed. Loss: 0.1664775162935257\n", + "Epoch 46 completed. Loss: 0.04505300521850586\n", + "Epoch 47 completed. Loss: 0.14913827180862427\n", + "Epoch 48 completed. Loss: 0.016096509993076324\n", + "Epoch 49 completed. Loss: 0.05338064581155777\n", + "Epoch 50 completed. Loss: 0.10259533673524857\n", + "Epoch 51 completed. Loss: 0.008849691599607468\n", + "Epoch 52 completed. Loss: 0.028069255873560905\n", + "Epoch 53 completed. Loss: 0.008924427442252636\n", + "Epoch 54 completed. Loss: 0.015527592971920967\n", + "Epoch 55 completed. Loss: 0.009189464151859283\n", + "Epoch 56 completed. Loss: 0.007252057082951069\n", + "Epoch 57 completed. Loss: 0.01684846170246601\n", + "Epoch 58 completed. Loss: 0.010840333066880703\n", + "Epoch 59 completed. Loss: 0.05179211124777794\n", + "Epoch 60 completed. Loss: 0.007003726437687874\n", + "Epoch 61 completed. Loss: 0.00555015355348587\n", + "Epoch 62 completed. Loss: 0.0065276664681732655\n", + "Epoch 63 completed. Loss: 0.007942711934447289\n", + "Epoch 64 completed. Loss: 0.00675524678081274\n", + "Epoch 65 completed. Loss: 0.010359193198382854\n", + "Epoch 66 completed. Loss: 0.00662408908829093\n", + "Epoch 67 completed. Loss: 0.007672889623790979\n", + "Epoch 68 completed. Loss: 0.004661311395466328\n", + "Epoch 69 completed. Loss: 0.014480670914053917\n", + "Epoch 70 completed. Loss: 0.05042335391044617\n", + "Epoch 71 completed. Loss: 0.035947512835264206\n", + "Epoch 72 completed. Loss: 0.01213429868221283\n", + "Epoch 73 completed. Loss: 0.033572785556316376\n", + "Epoch 74 completed. Loss: 0.009208262898027897\n", + "Epoch 75 completed. Loss: 0.08961852639913559\n", + "Epoch 76 completed. Loss: 4.632999897003174\n", + "Epoch 77 completed. Loss: 5.957398891448975\n", + "Epoch 78 completed. Loss: 5.970841407775879\n", + "Epoch 79 completed. Loss: 5.905709266662598\n", + "Epoch 80 completed. Loss: 5.864459037780762\n", + "Validation Accuracy: 0.14%\n", + "Accuracy (MDM=True) for Group 4: 0.48%\n", + "Results saved to 0.class_document/albert/4/test_p_c.csv\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from transformers import AlbertTokenizer, AlbertForSequenceClassification, AdamW\n", + "from sklearn.preprocessing import LabelEncoder\n", + "import torch\n", + "from torch.utils.data import Dataset, DataLoader\n", + "import numpy as np\n", + "import torch.nn.functional as F\n", + "import os \n", + "\n", + "\n", + "group_number = 4\n", + "train_path = f'../../data_preprocess/dataset/{group_number}/train.csv'\n", + "valid_path = f'../../data_preprocess/dataset/{group_number}/valid.csv'\n", + "test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "output_path = f'0.class_document/albert/{group_number}/test_p_c.csv'\n", + "\n", + "train_data = pd.read_csv(train_path)\n", + "valid_data = pd.read_csv(valid_path)\n", + "test_data = pd.read_csv(test_path)\n", + "\n", + "train_data['thing_property'] = train_data['thing'] + '_' + train_data['property']\n", + "valid_data['thing_property'] = valid_data['thing'] + '_' + valid_data['property']\n", + "test_data['thing_property'] = test_data['thing'] + '_' + test_data['property']\n", + "\n", + "tokenizer = AlbertTokenizer.from_pretrained('albert-base-v2')\n", + "label_encoder = LabelEncoder()\n", + "label_encoder.fit(train_data['thing_property'])\n", + "\n", + "valid_data['thing_property'] = valid_data['thing_property'].apply(\n", + " lambda x: x if x in label_encoder.classes_ else 'unknown_label')\n", + "test_data['thing_property'] = test_data['thing_property'].apply(\n", + " lambda x: x if x in label_encoder.classes_ else 'unknown_label')\n", + "\n", + "label_encoder.classes_ = np.append(label_encoder.classes_, 'unknown_label')\n", + "\n", + "train_data['label'] = label_encoder.transform(train_data['thing_property'])\n", + "valid_data['label'] = label_encoder.transform(valid_data['thing_property'])\n", + "test_data['label'] = label_encoder.transform(test_data['thing_property'])\n", + "\n", + "train_texts, train_labels = train_data['tag_description'], train_data['label']\n", + "valid_texts, valid_labels = valid_data['tag_description'], valid_data['label']\n", + "\n", + "train_encodings = tokenizer(list(train_texts), truncation=True, padding=True, return_tensors='pt')\n", + "valid_encodings = tokenizer(list(valid_texts), truncation=True, padding=True, return_tensors='pt')\n", + "\n", + "train_labels = torch.tensor(train_labels.values)\n", + "valid_labels = torch.tensor(valid_labels.values)\n", + "\n", + "class CustomDataset(Dataset):\n", + " def __init__(self, encodings, labels):\n", + " self.encodings = encodings\n", + " self.labels = labels\n", + "\n", + " def __getitem__(self, idx):\n", + " item = {key: val[idx] for key, val in self.encodings.items()}\n", + " item['labels'] = self.labels[idx]\n", + " return item\n", + "\n", + " def __len__(self):\n", + " return len(self.labels)\n", + "\n", + "train_dataset = CustomDataset(train_encodings, train_labels)\n", + "valid_dataset = CustomDataset(valid_encodings, valid_labels)\n", + "\n", + "train_loader = DataLoader(train_dataset, batch_size=64, shuffle=True)\n", + "valid_loader = DataLoader(valid_dataset, batch_size=32, shuffle=False)\n", + "\n", + "model = AlbertForSequenceClassification.from_pretrained('albert-base-v2', num_labels=len(train_data['thing_property'].unique()))\n", + "optimizer = AdamW(model.parameters(), lr=5e-5)\n", + "\n", + "device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\n", + "model.to(device)\n", + "\n", + "epochs = 80\n", + "for epoch in range(epochs):\n", + " model.train()\n", + " for batch in train_loader:\n", + " optimizer.zero_grad()\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " labels = batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask, labels=labels)\n", + " loss = outputs.loss\n", + " loss.backward()\n", + " optimizer.step()\n", + " print(f\"Epoch {epoch + 1} completed. Loss: {loss.item()}\")\n", + "\n", + "model.eval()\n", + "correct, total = 0, 0\n", + "\n", + "with torch.no_grad():\n", + " for batch in valid_loader:\n", + " input_ids, attention_mask, labels = batch['input_ids'].to(device), batch['attention_mask'].to(device), batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " predictions = torch.argmax(outputs.logits, dim=-1)\n", + " correct += (predictions == labels).sum().item()\n", + " total += labels.size(0)\n", + "\n", + "valid_accuracy = correct / total\n", + "print(f'Validation Accuracy: {valid_accuracy * 100:.2f}%')\n", + "\n", + "# Test 데이터 예측 및 c_thing, c_property 추가\n", + "test_encodings = tokenizer(list(test_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "test_dataset = CustomDataset(test_encodings, torch.zeros(len(test_data))) # 레이블은 사용되지 않으므로 임시로 0을 사용\n", + "\n", + "test_loader = DataLoader(test_dataset, batch_size=32, shuffle=False)\n", + "\n", + "model.eval()\n", + "predicted_thing_properties = []\n", + "predicted_scores = []\n", + "\n", + "with torch.no_grad():\n", + " for batch in test_loader:\n", + " input_ids, attention_mask = batch['input_ids'].to(device), batch['attention_mask'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " softmax_scores = F.softmax(outputs.logits, dim=-1)\n", + " predictions = torch.argmax(softmax_scores, dim=-1)\n", + " predicted_thing_properties.extend(predictions.cpu().numpy())\n", + " predicted_scores.extend(softmax_scores[range(len(predictions)), predictions].cpu().numpy())\n", + "\n", + "# 예측된 thing_property를 레이블 인코더로 디코딩\n", + "predicted_thing_property_labels = label_encoder.inverse_transform(predicted_thing_properties)\n", + "\n", + "# thing_property를 thing과 property로 나눔\n", + "test_data['c_thing'] = [x.split('_')[0] for x in predicted_thing_property_labels]\n", + "test_data['c_property'] = [x.split('_')[1] for x in predicted_thing_property_labels]\n", + "test_data['c_score'] = predicted_scores\n", + "\n", + "test_data['cthing_correct'] = test_data['thing'] == test_data['c_thing']\n", + "test_data['cproperty_correct'] = test_data['property'] == test_data['c_property']\n", + "test_data['ctp_correct'] = test_data['cthing_correct'] & test_data['cproperty_correct']\n", + "\n", + "mdm_true_count = len(test_data[test_data['MDM'] == True])\n", + "accuracy = (test_data['ctp_correct'].sum() / mdm_true_count) * 100\n", + "\n", + "print(f\"Accuracy (MDM=True) for Group {group_number}: {accuracy:.2f}%\")\n", + "\n", + "os.makedirs(os.path.dirname(output_path), exist_ok=True)\n", + "\n", + "test_data.to_csv(output_path, index=False)\n", + "print(f'Results saved to {output_path}')\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'AlbertForSequenceClassification' object has no attribute 'bert'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[29], line 20\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m outputs\u001b[38;5;241m.\u001b[39mlast_hidden_state\u001b[38;5;241m.\u001b[39mmean(dim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\u001b[38;5;241m.\u001b[39mcpu()\u001b[38;5;241m.\u001b[39mnumpy() \u001b[38;5;66;03m# 각 문장의 평균 임베딩 추출\u001b[39;00m\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m# BERT 모델로 임베딩 계산\u001b[39;00m\n\u001b[0;32m---> 20\u001b[0m bert_embeddings \u001b[38;5;241m=\u001b[39m \u001b[43mget_bert_embeddings\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiltered_encodings\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 22\u001b[0m \u001b[38;5;66;03m# t-SNE 차원 축소\u001b[39;00m\n\u001b[1;32m 23\u001b[0m tsne \u001b[38;5;241m=\u001b[39m TSNE(n_components\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m, random_state\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m42\u001b[39m)\n", + "Cell \u001b[0;32mIn[29], line 16\u001b[0m, in \u001b[0;36mget_bert_embeddings\u001b[0;34m(model, encodings, device)\u001b[0m\n\u001b[1;32m 14\u001b[0m input_ids \u001b[38;5;241m=\u001b[39m encodings[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124minput_ids\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[1;32m 15\u001b[0m attention_mask \u001b[38;5;241m=\u001b[39m encodings[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mattention_mask\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[0;32m---> 16\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbert\u001b[49m(input_ids\u001b[38;5;241m=\u001b[39minput_ids, attention_mask\u001b[38;5;241m=\u001b[39mattention_mask)\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m outputs\u001b[38;5;241m.\u001b[39mlast_hidden_state\u001b[38;5;241m.\u001b[39mmean(dim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\u001b[38;5;241m.\u001b[39mcpu()\u001b[38;5;241m.\u001b[39mnumpy()\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/modules/module.py:1709\u001b[0m, in \u001b[0;36mModule.__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 1707\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m modules:\n\u001b[1;32m 1708\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m modules[name]\n\u001b[0;32m-> 1709\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m object has no attribute \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mAttributeError\u001b[0m: 'AlbertForSequenceClassification' object has no attribute 'bert'" + ] + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# 'filtered_data_plot.csv' 읽기\n", + "filtered_data = pd.read_csv('filtered_data_plot.csv')\n", + "\n", + "# 데이터 토큰화\n", + "filtered_encodings = tokenizer(list(filtered_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "\n", + "# BERT 임베딩 계산 함수\n", + "def get_bert_embeddings(model, encodings, device):\n", + " model.eval()\n", + " with torch.no_grad():\n", + " input_ids = encodings['input_ids'].to(device)\n", + " attention_mask = encodings['attention_mask'].to(device)\n", + " outputs = model.bert(input_ids=input_ids, attention_mask=attention_mask)\n", + " return outputs.last_hidden_state.mean(dim=1).cpu().numpy() # 각 문장의 평균 임베딩 추출\n", + "\n", + "# BERT 모델로 임베딩 계산\n", + "bert_embeddings = get_bert_embeddings(model, filtered_encodings, device)\n", + "\n", + "# t-SNE 차원 축소\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "tsne_results = tsne.fit_transform(bert_embeddings)\n", + "\n", + "# 시각화를 위한 준비\n", + "unique_patterns = filtered_data['pattern'].unique()\n", + "color_map = plt.get_cmap('tab20', len(unique_patterns))\n", + "pattern_to_color = {pattern: idx for idx, pattern in enumerate(unique_patterns)}\n", + "\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "# 각 패턴별로 시각화\n", + "for pattern, color_idx in pattern_to_color.items():\n", + " pattern_indices = filtered_data['pattern'] == pattern\n", + " plt.scatter(tsne_results[pattern_indices, 0], tsne_results[pattern_indices, 1], \n", + " color=color_map(color_idx), marker='o', s=100, alpha=0.6, edgecolor='k', linewidth=1.2)\n", + "\n", + "# 그래프 설정\n", + "plt.xticks(fontsize=24)\n", + "plt.yticks(fontsize=24)\n", + "plt.grid(True, which='both', linestyle='--', linewidth=0.5, alpha=0.6)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_bert.ipynb b/post_process/tfidf_class/2a.classifier_bert.ipynb new file mode 100644 index 0000000..31a5aa7 --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_bert.ipynb @@ -0,0 +1,414 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/optimization.py:521: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1 completed. Loss: 5.812545299530029\n", + "Validation Accuracy after Epoch 1: 2.20%\n", + "Epoch 2 completed. Loss: 5.4337921142578125\n", + "Validation Accuracy after Epoch 2: 12.22%\n", + "Epoch 3 completed. Loss: 4.7191081047058105\n", + "Validation Accuracy after Epoch 3: 18.78%\n", + "Epoch 4 completed. Loss: 3.5866851806640625\n", + "Validation Accuracy after Epoch 4: 27.73%\n", + "Epoch 5 completed. Loss: 2.891603469848633\n", + "Validation Accuracy after Epoch 5: 40.61%\n", + "Epoch 6 completed. Loss: 3.5778417587280273\n", + "Validation Accuracy after Epoch 6: 50.07%\n", + "Epoch 7 completed. Loss: 2.8838517665863037\n", + "Validation Accuracy after Epoch 7: 64.50%\n", + "Epoch 8 completed. Loss: 1.2843190431594849\n", + "Validation Accuracy after Epoch 8: 69.37%\n", + "Epoch 9 completed. Loss: 2.803881883621216\n", + "Validation Accuracy after Epoch 9: 76.16%\n", + "Epoch 10 completed. Loss: 1.6859067678451538\n", + "Validation Accuracy after Epoch 10: 77.75%\n", + "Epoch 11 completed. Loss: 1.5909239053726196\n", + "Validation Accuracy after Epoch 11: 80.19%\n", + "Epoch 12 completed. Loss: 3.397331953048706\n", + "Validation Accuracy after Epoch 12: 81.31%\n", + "Epoch 13 completed. Loss: 2.6174156665802\n", + "Validation Accuracy after Epoch 13: 83.14%\n", + "Epoch 14 completed. Loss: 2.170588493347168\n", + "Validation Accuracy after Epoch 14: 85.34%\n", + "Epoch 15 completed. Loss: 0.20281337201595306\n", + "Validation Accuracy after Epoch 15: 86.04%\n", + "Epoch 16 completed. Loss: 0.688520610332489\n", + "Validation Accuracy after Epoch 16: 86.74%\n", + "Epoch 17 completed. Loss: 2.2658097743988037\n", + "Validation Accuracy after Epoch 17: 87.73%\n", + "Epoch 18 completed. Loss: 1.1048349142074585\n", + "Validation Accuracy after Epoch 18: 88.06%\n", + "Epoch 19 completed. Loss: 0.42507076263427734\n", + "Validation Accuracy after Epoch 19: 88.24%\n", + "Epoch 20 completed. Loss: 0.2606792747974396\n", + "Validation Accuracy after Epoch 20: 88.71%\n", + "Epoch 21 completed. Loss: 0.31851115822792053\n", + "Validation Accuracy after Epoch 21: 89.18%\n", + "Epoch 22 completed. Loss: 0.09924610704183578\n", + "Validation Accuracy after Epoch 22: 89.46%\n", + "Epoch 23 completed. Loss: 0.09280075877904892\n", + "Validation Accuracy after Epoch 23: 90.26%\n", + "Epoch 24 completed. Loss: 0.12750865519046783\n", + "Validation Accuracy after Epoch 24: 89.93%\n", + "Epoch 25 completed. Loss: 0.06864642351865768\n", + "Validation Accuracy after Epoch 25: 90.40%\n", + "Epoch 26 completed. Loss: 1.2031394243240356\n", + "Validation Accuracy after Epoch 26: 90.87%\n", + "Epoch 27 completed. Loss: 0.049047697335481644\n", + "Validation Accuracy after Epoch 27: 90.82%\n", + "Epoch 28 completed. Loss: 0.2666439712047577\n", + "Validation Accuracy after Epoch 28: 91.10%\n", + "Epoch 29 completed. Loss: 1.1274741888046265\n", + "Validation Accuracy after Epoch 29: 91.38%\n", + "Epoch 30 completed. Loss: 0.040213990956544876\n", + "Validation Accuracy after Epoch 30: 91.66%\n", + "Epoch 31 completed. Loss: 0.04501065984368324\n", + "Validation Accuracy after Epoch 31: 91.71%\n", + "Epoch 32 completed. Loss: 0.031954798847436905\n", + "Validation Accuracy after Epoch 32: 92.37%\n", + "Epoch 33 completed. Loss: 0.13622191548347473\n", + "Validation Accuracy after Epoch 33: 92.32%\n", + "Epoch 34 completed. Loss: 0.22619958221912384\n", + "Validation Accuracy after Epoch 34: 92.18%\n", + "Epoch 35 completed. Loss: 0.03372799605131149\n", + "Validation Accuracy after Epoch 35: 92.37%\n", + "Epoch 36 completed. Loss: 0.04779297485947609\n", + "Validation Accuracy after Epoch 36: 92.41%\n", + "Epoch 37 completed. Loss: 0.02235586754977703\n", + "Validation Accuracy after Epoch 37: 92.88%\n", + "Epoch 38 completed. Loss: 0.07272133976221085\n", + "Validation Accuracy after Epoch 38: 92.97%\n", + "Epoch 39 completed. Loss: 0.19073285162448883\n", + "Validation Accuracy after Epoch 39: 92.93%\n", + "Epoch 40 completed. Loss: 0.030236737802624702\n", + "Validation Accuracy after Epoch 40: 93.16%\n", + "Epoch 41 completed. Loss: 0.048501163721084595\n", + "Validation Accuracy after Epoch 41: 93.58%\n", + "Epoch 42 completed. Loss: 0.3853774964809418\n", + "Validation Accuracy after Epoch 42: 93.77%\n", + "Epoch 43 completed. Loss: 0.03214043006300926\n", + "Validation Accuracy after Epoch 43: 94.05%\n", + "Epoch 44 completed. Loss: 0.03621528670191765\n", + "Validation Accuracy after Epoch 44: 93.72%\n", + "Epoch 45 completed. Loss: 0.12950848042964935\n", + "Validation Accuracy after Epoch 45: 94.00%\n", + "Epoch 46 completed. Loss: 0.9027665257453918\n", + "Validation Accuracy after Epoch 46: 94.05%\n", + "Epoch 47 completed. Loss: 0.014634504914283752\n", + "Validation Accuracy after Epoch 47: 93.86%\n", + "Epoch 48 completed. Loss: 0.019594205543398857\n", + "Validation Accuracy after Epoch 48: 94.15%\n", + "Epoch 49 completed. Loss: 0.05953751504421234\n", + "Validation Accuracy after Epoch 49: 94.15%\n", + "Epoch 50 completed. Loss: 0.01590300165116787\n", + "Validation Accuracy after Epoch 50: 94.38%\n", + "Epoch 51 completed. Loss: 0.015979576855897903\n", + "Validation Accuracy after Epoch 51: 94.05%\n", + "Epoch 52 completed. Loss: 0.10404151678085327\n", + "Validation Accuracy after Epoch 52: 94.19%\n", + "Epoch 53 completed. Loss: 0.03786793723702431\n", + "Validation Accuracy after Epoch 53: 94.19%\n", + "Epoch 54 completed. Loss: 0.06969229131937027\n", + "Validation Accuracy after Epoch 54: 94.33%\n", + "Epoch 55 completed. Loss: 0.028161363676190376\n", + "Validation Accuracy after Epoch 55: 93.96%\n", + "Epoch 56 completed. Loss: 0.008608573116362095\n", + "Validation Accuracy after Epoch 56: 94.05%\n", + "Epoch 57 completed. Loss: 0.04131948947906494\n", + "Validation Accuracy after Epoch 57: 94.38%\n", + "Epoch 58 completed. Loss: 0.057713668793439865\n", + "Validation Accuracy after Epoch 58: 94.29%\n", + "Epoch 59 completed. Loss: 0.006651934236288071\n", + "Validation Accuracy after Epoch 59: 94.05%\n", + "Epoch 60 completed. Loss: 0.009415321983397007\n", + "Validation Accuracy after Epoch 60: 94.29%\n", + "Epoch 61 completed. Loss: 0.07291022688150406\n", + "Validation Accuracy after Epoch 61: 94.33%\n", + "Epoch 62 completed. Loss: 0.019646339118480682\n", + "Validation Accuracy after Epoch 62: 94.47%\n", + "Epoch 63 completed. Loss: 0.005233598407357931\n", + "Validation Accuracy after Epoch 63: 94.33%\n", + "Epoch 64 completed. Loss: 0.006535904016345739\n", + "Validation Accuracy after Epoch 64: 94.38%\n", + "Epoch 65 completed. Loss: 0.04618072509765625\n", + "Validation Accuracy after Epoch 65: 94.52%\n", + "Epoch 66 completed. Loss: 0.003822903148829937\n", + "Validation Accuracy after Epoch 66: 94.52%\n", + "Epoch 67 completed. Loss: 0.007317937910556793\n", + "Validation Accuracy after Epoch 67: 94.38%\n", + "Epoch 68 completed. Loss: 0.043759193271398544\n", + "Validation Accuracy after Epoch 68: 94.33%\n", + "Epoch 69 completed. Loss: 0.005311332643032074\n", + "Validation Accuracy after Epoch 69: 94.24%\n", + "Epoch 70 completed. Loss: 0.014933265745639801\n", + "Validation Accuracy after Epoch 70: 94.15%\n", + "Epoch 71 completed. Loss: 0.017947230488061905\n", + "Validation Accuracy after Epoch 71: 94.43%\n", + "Epoch 72 completed. Loss: 0.03381676599383354\n", + "Validation Accuracy after Epoch 72: 94.38%\n", + "Epoch 73 completed. Loss: 0.0038632701616734266\n", + "Validation Accuracy after Epoch 73: 94.52%\n", + "Epoch 74 completed. Loss: 0.008432925678789616\n", + "Validation Accuracy after Epoch 74: 94.47%\n", + "Epoch 75 completed. Loss: 0.009978505782783031\n", + "Validation Accuracy after Epoch 75: 94.33%\n", + "Epoch 76 completed. Loss: 0.0022784313187003136\n", + "Validation Accuracy after Epoch 76: 94.43%\n", + "Epoch 77 completed. Loss: 0.002989798551425338\n", + "Validation Accuracy after Epoch 77: 94.61%\n", + "Epoch 78 completed. Loss: 0.008676871657371521\n", + "Validation Accuracy after Epoch 78: 94.66%\n", + "Epoch 79 completed. Loss: 0.009547003544867039\n", + "Validation Accuracy after Epoch 79: 94.10%\n", + "Epoch 80 completed. Loss: 0.016957035288214684\n", + "Validation Accuracy after Epoch 80: 93.54%\n", + "Accuracy (MDM=True) for Group 3: 94.33%\n", + "Results saved to 0.class_document/3/test_p_c.csv\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from transformers import BertTokenizer, BertForSequenceClassification, AdamW\n", + "from sklearn.preprocessing import LabelEncoder\n", + "import torch\n", + "from torch.utils.data import Dataset, DataLoader\n", + "import numpy as np\n", + "import torch.nn.functional as F\n", + "\n", + "group_number = 3\n", + "train_path = f'../../data_preprocess/dataset/{group_number}/train.csv'\n", + "valid_path = f'../../data_preprocess/dataset/{group_number}/valid.csv'\n", + "test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "output_path = f'0.class_document/bert/{group_number}/test_p_c.csv'\n", + "\n", + "train_data = pd.read_csv(train_path)\n", + "valid_data = pd.read_csv(valid_path)\n", + "test_data = pd.read_csv(test_path)\n", + "\n", + "train_data['thing_property'] = train_data['thing'] + '_' + train_data['property']\n", + "valid_data['thing_property'] = valid_data['thing'] + '_' + valid_data['property']\n", + "test_data['thing_property'] = test_data['thing'] + '_' + test_data['property']\n", + "\n", + "\n", + "tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')\n", + "label_encoder = LabelEncoder()\n", + "label_encoder.fit(train_data['thing_property'])\n", + "\n", + "valid_data['thing_property'] = valid_data['thing_property'].apply(\n", + " lambda x: x if x in label_encoder.classes_ else 'unknown_label')\n", + "test_data['thing_property'] = test_data['thing_property'].apply(\n", + " lambda x: x if x in label_encoder.classes_ else 'unknown_label')\n", + "\n", + "label_encoder.classes_ = np.append(label_encoder.classes_, 'unknown_label')\n", + "\n", + "train_data['label'] = label_encoder.transform(train_data['thing_property'])\n", + "valid_data['label'] = label_encoder.transform(valid_data['thing_property'])\n", + "test_data['label'] = label_encoder.transform(test_data['thing_property'])\n", + "\n", + "train_texts, train_labels = train_data['tag_description'], train_data['label']\n", + "valid_texts, valid_labels = valid_data['tag_description'], valid_data['label']\n", + "\n", + "train_encodings = tokenizer(list(train_texts), truncation=True, padding=True, return_tensors='pt')\n", + "valid_encodings = tokenizer(list(valid_texts), truncation=True, padding=True, return_tensors='pt')\n", + "\n", + "train_labels = torch.tensor(train_labels.values)\n", + "valid_labels = torch.tensor(valid_labels.values)\n", + "\n", + "class CustomDataset(Dataset):\n", + " def __init__(self, encodings, labels):\n", + " self.encodings = encodings\n", + " self.labels = labels\n", + "\n", + " def __getitem__(self, idx):\n", + " item = {key: val[idx] for key, val in self.encodings.items()}\n", + " item['labels'] = self.labels[idx]\n", + " return item\n", + "\n", + " def __len__(self):\n", + " return len(self.labels)\n", + "\n", + "train_dataset = CustomDataset(train_encodings, train_labels)\n", + "valid_dataset = CustomDataset(valid_encodings, valid_labels)\n", + "\n", + "train_loader = DataLoader(train_dataset, batch_size=64, shuffle=True)\n", + "valid_loader = DataLoader(valid_dataset, batch_size=32, shuffle=False)\n", + "\n", + "model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=len(train_data['thing_property'].unique()))\n", + "optimizer = AdamW(model.parameters(), lr=3e-5)\n", + "\n", + "device = torch.device('cuda:1' if torch.cuda.is_available() else 'cpu')\n", + "model.to(device)\n", + "\n", + "epochs = 80\n", + "for epoch in range(epochs):\n", + " model.train()\n", + " for batch in train_loader:\n", + " optimizer.zero_grad()\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " labels = batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask, labels=labels)\n", + " loss = outputs.loss\n", + " loss.backward()\n", + " optimizer.step()\n", + " print(f\"Epoch {epoch + 1} completed. Loss: {loss.item()}\")\n", + "\n", + " # 검증 루프\n", + " model.eval()\n", + " correct, total = 0, 0\n", + "\n", + " with torch.no_grad():\n", + " for batch in valid_loader:\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " labels = batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " predictions = torch.argmax(outputs.logits, dim=-1)\n", + " correct += (predictions == labels).sum().item()\n", + " total += labels.size(0)\n", + "\n", + " valid_accuracy = correct / total\n", + " print(f'Validation Accuracy after Epoch {epoch + 1}: {valid_accuracy * 100:.2f}%')\n", + "\n", + "# Test 데이터 예측 및 c_thing, c_property 추가\n", + "test_encodings = tokenizer(list(test_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "test_dataset = CustomDataset(test_encodings, torch.zeros(len(test_data))) \n", + "\n", + "test_loader = DataLoader(test_dataset, batch_size=32, shuffle=False)\n", + "\n", + "model.eval()\n", + "predicted_thing_properties = []\n", + "predicted_scores = []\n", + "\n", + "with torch.no_grad():\n", + " for batch in test_loader:\n", + " input_ids, attention_mask = batch['input_ids'].to(device), batch['attention_mask'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " softmax_scores = F.softmax(outputs.logits, dim=-1)\n", + " predictions = torch.argmax(softmax_scores, dim=-1)\n", + " predicted_thing_properties.extend(predictions.cpu().numpy())\n", + " predicted_scores.extend(softmax_scores[range(len(predictions)), predictions].cpu().numpy())\n", + "\n", + "predicted_thing_property_labels = label_encoder.inverse_transform(predicted_thing_properties)\n", + "\n", + "test_data['c_thing'] = [x.split('_')[0] for x in predicted_thing_property_labels]\n", + "test_data['c_property'] = [x.split('_')[1] for x in predicted_thing_property_labels]\n", + "test_data['c_score'] = predicted_scores\n", + "\n", + "test_data['cthing_correct'] = test_data['thing'] == test_data['c_thing']\n", + "test_data['cproperty_correct'] = test_data['property'] == test_data['c_property']\n", + "test_data['ctp_correct'] = test_data['cthing_correct'] & test_data['cproperty_correct']\n", + "\n", + "mdm_true_count = len(test_data[test_data['MDM'] == True])\n", + "accuracy = (test_data['ctp_correct'].sum() / mdm_true_count) * 100\n", + "\n", + "print(f\"Accuracy (MDM=True) for Group {group_number}: {accuracy:.2f}%\")\n", + "\n", + "test_data.to_csv(output_path, index=False)\n", + "print(f'Results saved to {output_path}')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# 'filtered_data_plot.csv' 읽기\n", + "filtered_data = pd.read_csv('filtered_data_plot.csv')\n", + "\n", + "# 데이터 토큰화\n", + "filtered_encodings = tokenizer(list(filtered_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "\n", + "# BERT 임베딩 계산 함수\n", + "def get_bert_embeddings(model, encodings, device):\n", + " model.eval()\n", + " with torch.no_grad():\n", + " input_ids = encodings['input_ids'].to(device)\n", + " attention_mask = encodings['attention_mask'].to(device)\n", + " outputs = model.bert(input_ids=input_ids, attention_mask=attention_mask)\n", + " return outputs.last_hidden_state.mean(dim=1).cpu().numpy() # 각 문장의 평균 임베딩 추출\n", + "\n", + "# BERT 모델로 임베딩 계산\n", + "bert_embeddings = get_bert_embeddings(model, filtered_encodings, device)\n", + "\n", + "# t-SNE 차원 축소\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "tsne_results = tsne.fit_transform(bert_embeddings)\n", + "\n", + "# 시각화를 위한 준비\n", + "unique_patterns = filtered_data['pattern'].unique()\n", + "color_map = plt.get_cmap('tab20', len(unique_patterns))\n", + "pattern_to_color = {pattern: idx for idx, pattern in enumerate(unique_patterns)}\n", + "\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "# 각 패턴별로 시각화\n", + "for pattern, color_idx in pattern_to_color.items():\n", + " pattern_indices = filtered_data['pattern'] == pattern\n", + " plt.scatter(tsne_results[pattern_indices, 0], tsne_results[pattern_indices, 1], \n", + " color=color_map(color_idx), marker='o', s=100, alpha=0.6, edgecolor='k', linewidth=1.2)\n", + "\n", + "# 그래프 설정\n", + "plt.xticks(fontsize=24)\n", + "plt.yticks(fontsize=24)\n", + "plt.grid(True, which='both', linestyle='--', linewidth=0.5, alpha=0.6)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_bertdistil.ipynb b/post_process/tfidf_class/2a.classifier_bertdistil.ipynb new file mode 100644 index 0000000..dffe8a9 --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_bertdistil.ipynb @@ -0,0 +1,437 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/optimization.py:521: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1 completed. Loss: 5.446770191192627\n", + "Validation Accuracy after Epoch 1: 18.30%\n", + "Epoch 2 completed. Loss: 3.8084073066711426\n", + "Validation Accuracy after Epoch 2: 40.87%\n", + "Epoch 3 completed. Loss: 3.0630860328674316\n", + "Validation Accuracy after Epoch 3: 65.36%\n", + "Epoch 4 completed. Loss: 1.5352345705032349\n", + "Validation Accuracy after Epoch 4: 73.26%\n", + "Epoch 5 completed. Loss: 0.8989766836166382\n", + "Validation Accuracy after Epoch 5: 78.01%\n", + "Epoch 6 completed. Loss: 0.9589817523956299\n", + "Validation Accuracy after Epoch 6: 81.65%\n", + "Epoch 7 completed. Loss: 0.7892795205116272\n", + "Validation Accuracy after Epoch 7: 83.85%\n", + "Epoch 8 completed. Loss: 0.5069147944450378\n", + "Validation Accuracy after Epoch 8: 86.97%\n", + "Epoch 9 completed. Loss: 0.524911642074585\n", + "Validation Accuracy after Epoch 9: 88.12%\n", + "Epoch 10 completed. Loss: 0.2070937305688858\n", + "Validation Accuracy after Epoch 10: 89.94%\n", + "Epoch 11 completed. Loss: 0.19738677144050598\n", + "Validation Accuracy after Epoch 11: 90.75%\n", + "Epoch 12 completed. Loss: 0.13339389860630035\n", + "Validation Accuracy after Epoch 12: 91.90%\n", + "Epoch 13 completed. Loss: 0.21022899448871613\n", + "Validation Accuracy after Epoch 13: 92.86%\n", + "Epoch 14 completed. Loss: 0.26752030849456787\n", + "Validation Accuracy after Epoch 14: 93.24%\n", + "Epoch 15 completed. Loss: 0.14866866171360016\n", + "Validation Accuracy after Epoch 15: 93.68%\n", + "Epoch 16 completed. Loss: 0.08989054709672928\n", + "Validation Accuracy after Epoch 16: 94.06%\n", + "Epoch 17 completed. Loss: 0.037873975932598114\n", + "Validation Accuracy after Epoch 17: 94.59%\n", + "Epoch 18 completed. Loss: 0.07367080450057983\n", + "Validation Accuracy after Epoch 18: 94.68%\n", + "Epoch 19 completed. Loss: 0.04101959988474846\n", + "Validation Accuracy after Epoch 19: 94.83%\n", + "Epoch 20 completed. Loss: 0.21339105069637299\n", + "Validation Accuracy after Epoch 20: 95.02%\n", + "Epoch 21 completed. Loss: 0.06965143978595734\n", + "Validation Accuracy after Epoch 21: 94.97%\n", + "Epoch 22 completed. Loss: 0.06043635308742523\n", + "Validation Accuracy after Epoch 22: 95.02%\n", + "Epoch 23 completed. Loss: 0.021217377856373787\n", + "Validation Accuracy after Epoch 23: 94.92%\n", + "Epoch 24 completed. Loss: 0.037467293441295624\n", + "Validation Accuracy after Epoch 24: 95.02%\n", + "Epoch 25 completed. Loss: 0.016836028546094894\n", + "Validation Accuracy after Epoch 25: 95.02%\n", + "Epoch 26 completed. Loss: 0.028664518147706985\n", + "Validation Accuracy after Epoch 26: 95.11%\n", + "Epoch 27 completed. Loss: 0.011028420180082321\n", + "Validation Accuracy after Epoch 27: 95.16%\n", + "Epoch 28 completed. Loss: 0.04282907024025917\n", + "Validation Accuracy after Epoch 28: 95.16%\n", + "Epoch 29 completed. Loss: 0.00940023921430111\n", + "Validation Accuracy after Epoch 29: 95.35%\n", + "Epoch 30 completed. Loss: 0.13019809126853943\n", + "Validation Accuracy after Epoch 30: 95.35%\n", + "Epoch 31 completed. Loss: 0.01270432397723198\n", + "Validation Accuracy after Epoch 31: 95.11%\n", + "Epoch 32 completed. Loss: 0.012832771986722946\n", + "Validation Accuracy after Epoch 32: 95.16%\n", + "Epoch 33 completed. Loss: 0.012174545787274837\n", + "Validation Accuracy after Epoch 33: 95.16%\n", + "Epoch 34 completed. Loss: 0.02090534381568432\n", + "Validation Accuracy after Epoch 34: 95.02%\n", + "Epoch 35 completed. Loss: 0.017653826624155045\n", + "Validation Accuracy after Epoch 35: 94.49%\n", + "Epoch 36 completed. Loss: 0.02190311811864376\n", + "Validation Accuracy after Epoch 36: 94.59%\n", + "Epoch 37 completed. Loss: 0.048320867121219635\n", + "Validation Accuracy after Epoch 37: 94.68%\n", + "Epoch 38 completed. Loss: 0.015598177909851074\n", + "Validation Accuracy after Epoch 38: 95.30%\n", + "Epoch 39 completed. Loss: 0.009368035942316055\n", + "Validation Accuracy after Epoch 39: 94.83%\n", + "Epoch 40 completed. Loss: 0.009023590944707394\n", + "Validation Accuracy after Epoch 40: 95.02%\n", + "Epoch 41 completed. Loss: 0.040157418698072433\n", + "Validation Accuracy after Epoch 41: 95.11%\n", + "Epoch 42 completed. Loss: 0.11878462135791779\n", + "Validation Accuracy after Epoch 42: 95.06%\n", + "Epoch 43 completed. Loss: 0.021250683814287186\n", + "Validation Accuracy after Epoch 43: 95.16%\n", + "Epoch 44 completed. Loss: 0.0023518940433859825\n", + "Validation Accuracy after Epoch 44: 95.16%\n", + "Epoch 45 completed. Loss: 0.00595875782892108\n", + "Validation Accuracy after Epoch 45: 95.16%\n", + "Epoch 46 completed. Loss: 0.0025296895764768124\n", + "Validation Accuracy after Epoch 46: 94.97%\n", + "Epoch 47 completed. Loss: 0.0753568485379219\n", + "Validation Accuracy after Epoch 47: 95.26%\n", + "Epoch 48 completed. Loss: 0.002112493384629488\n", + "Validation Accuracy after Epoch 48: 95.06%\n", + "Epoch 49 completed. Loss: 0.09600060433149338\n", + "Validation Accuracy after Epoch 49: 95.06%\n", + "Epoch 50 completed. Loss: 0.002454130444675684\n", + "Validation Accuracy after Epoch 50: 95.21%\n", + "Accuracy (MDM=True) for Group 5: 91.98%\n", + "Results saved to 0.class_document/distilbert/5/test_p_c.csv\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from transformers import DistilBertTokenizer, DistilBertForSequenceClassification, AdamW\n", + "from sklearn.preprocessing import LabelEncoder\n", + "import torch\n", + "from torch.utils.data import Dataset, DataLoader\n", + "import numpy as np\n", + "import torch.nn.functional as F\n", + "import os \n", + "\n", + "group_number = 5\n", + "train_path = f'../../data_preprocess/dataset/{group_number}/train.csv'\n", + "valid_path = f'../../data_preprocess/dataset/{group_number}/valid.csv'\n", + "test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "output_path = f'0.class_document/distilbert/{group_number}/test_p_c.csv'\n", + "\n", + "train_data = pd.read_csv(train_path)\n", + "valid_data = pd.read_csv(valid_path)\n", + "test_data = pd.read_csv(test_path)\n", + "\n", + "train_data['thing_property'] = train_data['thing'] + '_' + train_data['property']\n", + "valid_data['thing_property'] = valid_data['thing'] + '_' + valid_data['property']\n", + "test_data['thing_property'] = test_data['thing'] + '_' + test_data['property']\n", + "\n", + "tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-uncased')\n", + "label_encoder = LabelEncoder()\n", + "label_encoder.fit(train_data['thing_property'])\n", + "\n", + "valid_data['thing_property'] = valid_data['thing_property'].apply(\n", + " lambda x: x if x in label_encoder.classes_ else 'unknown_label')\n", + "test_data['thing_property'] = test_data['thing_property'].apply(\n", + " lambda x: x if x in label_encoder.classes_ else 'unknown_label')\n", + "\n", + "label_encoder.classes_ = np.append(label_encoder.classes_, 'unknown_label')\n", + "\n", + "train_data['label'] = label_encoder.transform(train_data['thing_property'])\n", + "valid_data['label'] = label_encoder.transform(valid_data['thing_property'])\n", + "test_data['label'] = label_encoder.transform(test_data['thing_property'])\n", + "\n", + "train_texts, train_labels = train_data['tag_description'], train_data['label']\n", + "valid_texts, valid_labels = valid_data['tag_description'], valid_data['label']\n", + "\n", + "train_encodings = tokenizer(list(train_texts), truncation=True, padding=True, return_tensors='pt')\n", + "valid_encodings = tokenizer(list(valid_texts), truncation=True, padding=True, return_tensors='pt')\n", + "\n", + "train_labels = torch.tensor(train_labels.values)\n", + "valid_labels = torch.tensor(valid_labels.values)\n", + "\n", + "class CustomDataset(Dataset):\n", + " def __init__(self, encodings, labels):\n", + " self.encodings = encodings\n", + " self.labels = labels\n", + "\n", + " def __getitem__(self, idx):\n", + " item = {key: val[idx] for key, val in self.encodings.items()}\n", + " item['labels'] = self.labels[idx]\n", + " return item\n", + "\n", + " def __len__(self):\n", + " return len(self.labels)\n", + "\n", + "train_dataset = CustomDataset(train_encodings, train_labels)\n", + "valid_dataset = CustomDataset(valid_encodings, valid_labels)\n", + "\n", + "train_loader = DataLoader(train_dataset, batch_size=64, shuffle=True)\n", + "valid_loader = DataLoader(valid_dataset, batch_size=32, shuffle=False)\n", + "\n", + "model = DistilBertForSequenceClassification.from_pretrained(\n", + " 'distilbert-base-uncased', \n", + " num_labels=len(train_data['thing_property'].unique())\n", + ")\n", + "optimizer = AdamW(model.parameters(), lr=5e-5)\n", + "\n", + "device = torch.device('cuda:1' if torch.cuda.is_available() else 'cpu')\n", + "model.to(device)\n", + "\n", + "epochs = 50\n", + "for epoch in range(epochs):\n", + " model.train()\n", + " for batch in train_loader:\n", + " optimizer.zero_grad()\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " labels = batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask, labels=labels)\n", + " loss = outputs.loss\n", + " loss.backward()\n", + " optimizer.step()\n", + " print(f\"Epoch {epoch + 1} completed. Loss: {loss.item()}\")\n", + "\n", + " # 검증 루프\n", + " model.eval()\n", + " correct, total = 0, 0\n", + "\n", + " with torch.no_grad():\n", + " for batch in valid_loader:\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " labels = batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " predictions = torch.argmax(outputs.logits, dim=-1)\n", + " correct += (predictions == labels).sum().item()\n", + " total += labels.size(0)\n", + "\n", + " valid_accuracy = correct / total\n", + " print(f'Validation Accuracy after Epoch {epoch + 1}: {valid_accuracy * 100:.2f}%')\n", + "\n", + "# Test 데이터 예측 및 c_thing, c_property 추가\n", + "test_encodings = tokenizer(list(test_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "test_dataset = CustomDataset(test_encodings, torch.zeros(len(test_data))) # 레이블은 사용되지 않으므로 임시로 0을 사용\n", + "\n", + "test_loader = DataLoader(test_dataset, batch_size=32, shuffle=False)\n", + "\n", + "model.eval()\n", + "predicted_thing_properties = []\n", + "predicted_scores = []\n", + "\n", + "with torch.no_grad():\n", + " for batch in test_loader:\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " softmax_scores = F.softmax(outputs.logits, dim=-1)\n", + " predictions = torch.argmax(softmax_scores, dim=-1)\n", + " predicted_thing_properties.extend(predictions.cpu().numpy())\n", + " predicted_scores.extend(softmax_scores[range(len(predictions)), predictions].cpu().numpy())\n", + "\n", + "# 예측된 thing_property를 레이블 인코더로 디코딩\n", + "predicted_thing_property_labels = label_encoder.inverse_transform(predicted_thing_properties)\n", + "\n", + "# thing_property를 thing과 property로 나눔\n", + "test_data['c_thing'] = [x.split('_')[0] for x in predicted_thing_property_labels]\n", + "test_data['c_property'] = [x.split('_')[1] for x in predicted_thing_property_labels]\n", + "test_data['c_score'] = predicted_scores\n", + "\n", + "test_data['cthing_correct'] = test_data['thing'] == test_data['c_thing']\n", + "test_data['cproperty_correct'] = test_data['property'] == test_data['c_property']\n", + "test_data['ctp_correct'] = test_data['cthing_correct'] & test_data['cproperty_correct']\n", + "\n", + "mdm_true_count = len(test_data[test_data['MDM'] == True])\n", + "accuracy = (test_data['ctp_correct'].sum() / mdm_true_count) * 100\n", + "\n", + "print(f\"Accuracy (MDM=True) for Group {group_number}: {accuracy:.2f}%\")\n", + "\n", + "# 결과를 저장하기 전에 폴더가 존재하는지 확인하고, 없으면 생성\n", + "os.makedirs(os.path.dirname(output_path), exist_ok=True)\n", + "\n", + "test_data.to_csv(output_path, index=False)\n", + "print(f'Results saved to {output_path}')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Validation Accuracy: 95.21%\n", + "Accuracy (MDM=True) for Group 5: 91.98%\n", + "Results saved to 0.class_document/distilbert/5/test_p_c.csv\n" + ] + } + ], + "source": [ + "# 검증 루프\n", + "model.eval()\n", + "correct, total = 0, 0\n", + "\n", + "with torch.no_grad():\n", + " for batch in valid_loader:\n", + " input_ids, attention_mask, labels = batch['input_ids'].to(device), batch['attention_mask'].to(device), batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " predictions = torch.argmax(outputs.logits, dim=-1)\n", + " correct += (predictions == labels).sum().item()\n", + " total += labels.size(0)\n", + "\n", + "valid_accuracy = correct / total\n", + "print(f'Validation Accuracy: {valid_accuracy * 100:.2f}%')\n", + "\n", + "# Test 데이터 예측 및 c_thing, c_property 추가\n", + "test_encodings = tokenizer(list(test_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "test_dataset = CustomDataset(test_encodings, torch.zeros(len(test_data))) # 레이블은 사용되지 않으므로 임시로 0을 사용\n", + "\n", + "test_loader = DataLoader(test_dataset, batch_size=32, shuffle=False)\n", + "\n", + "model.eval()\n", + "predicted_thing_properties = []\n", + "predicted_scores = []\n", + "\n", + "with torch.no_grad():\n", + " for batch in test_loader:\n", + " input_ids, attention_mask = batch['input_ids'].to(device), batch['attention_mask'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " softmax_scores = F.softmax(outputs.logits, dim=-1)\n", + " predictions = torch.argmax(softmax_scores, dim=-1)\n", + " predicted_thing_properties.extend(predictions.cpu().numpy())\n", + " predicted_scores.extend(softmax_scores[range(len(predictions)), predictions].cpu().numpy())\n", + "\n", + "# 예측된 thing_property를 레이블 인코더로 디코딩\n", + "predicted_thing_property_labels = label_encoder.inverse_transform(predicted_thing_properties)\n", + "\n", + "# thing_property를 thing과 property로 나눔\n", + "test_data['c_thing'] = [x.split('_')[0] for x in predicted_thing_property_labels]\n", + "test_data['c_property'] = [x.split('_')[1] for x in predicted_thing_property_labels]\n", + "test_data['c_score'] = predicted_scores\n", + "\n", + "test_data['cthing_correct'] = test_data['thing'] == test_data['c_thing']\n", + "test_data['cproperty_correct'] = test_data['property'] == test_data['c_property']\n", + "test_data['ctp_correct'] = test_data['cthing_correct'] & test_data['cproperty_correct']\n", + "\n", + "mdm_true_count = len(test_data[test_data['MDM'] == True])\n", + "accuracy = (test_data['ctp_correct'].sum() / mdm_true_count) * 100\n", + "\n", + "print(f\"Accuracy (MDM=True) for Group {group_number}: {accuracy:.2f}%\")\n", + "\n", + "os.makedirs(os.path.dirname(output_path), exist_ok=True)\n", + "\n", + "test_data.to_csv(output_path, index=False)\n", + "print(f'Results saved to {output_path}')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'pd' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[3], line 5\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# 'filtered_data_plot.csv' 읽기\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m filtered_data \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfiltered_data_plot.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# 데이터 토큰화\u001b[39;00m\n\u001b[1;32m 8\u001b[0m filtered_encodings \u001b[38;5;241m=\u001b[39m tokenizer(\u001b[38;5;28mlist\u001b[39m(filtered_data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtag_description\u001b[39m\u001b[38;5;124m'\u001b[39m]), truncation\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, padding\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, return_tensors\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpt\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined" + ] + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# 'filtered_data_plot.csv' 읽기\n", + "filtered_data = pd.read_csv('filtered_data_plot.csv')\n", + "\n", + "# 데이터 토큰화\n", + "filtered_encodings = tokenizer(list(filtered_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "\n", + "# BERT 임베딩 계산 함수\n", + "def get_bert_embeddings(model, encodings, device):\n", + " model.eval()\n", + " with torch.no_grad():\n", + " input_ids = encodings['input_ids'].to(device)\n", + " attention_mask = encodings['attention_mask'].to(device)\n", + " outputs = model.bert(input_ids=input_ids, attention_mask=attention_mask)\n", + " return outputs.last_hidden_state.mean(dim=1).cpu().numpy() # 각 문장의 평균 임베딩 추출\n", + "\n", + "# BERT 모델로 임베딩 계산\n", + "bert_embeddings = get_bert_embeddings(model, filtered_encodings, device)\n", + "\n", + "# t-SNE 차원 축소\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "tsne_results = tsne.fit_transform(bert_embeddings)\n", + "\n", + "# 시각화를 위한 준비\n", + "unique_patterns = filtered_data['pattern'].unique()\n", + "color_map = plt.get_cmap('tab20', len(unique_patterns))\n", + "pattern_to_color = {pattern: idx for idx, pattern in enumerate(unique_patterns)}\n", + "\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "# 각 패턴별로 시각화\n", + "for pattern, color_idx in pattern_to_color.items():\n", + " pattern_indices = filtered_data['pattern'] == pattern\n", + " plt.scatter(tsne_results[pattern_indices, 0], tsne_results[pattern_indices, 1], \n", + " color=color_map(color_idx), marker='o', s=100, alpha=0.6, edgecolor='k', linewidth=1.2)\n", + "\n", + "# 그래프 설정\n", + "plt.xticks(fontsize=24)\n", + "plt.yticks(fontsize=24)\n", + "plt.grid(True, which='both', linestyle='--', linewidth=0.5, alpha=0.6)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_berttiny.ipynb b/post_process/tfidf_class/2a.classifier_berttiny.ipynb new file mode 100644 index 0000000..6c45b2d --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_berttiny.ipynb @@ -0,0 +1,478 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.\n", + "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at prajjwal1/bert-tiny and are newly initialized: ['classifier.bias', 'classifier.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/optimization.py:521: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1 completed. Loss: 6.255228042602539\n", + "Validation Accuracy after Epoch 1: 1.14%\n", + "Epoch 2 completed. Loss: 5.604339599609375\n", + "Validation Accuracy after Epoch 2: 4.41%\n", + "Epoch 3 completed. Loss: 5.204141616821289\n", + "Validation Accuracy after Epoch 3: 8.45%\n", + "Epoch 4 completed. Loss: 5.063010215759277\n", + "Validation Accuracy after Epoch 4: 11.15%\n", + "Epoch 5 completed. Loss: 4.573624134063721\n", + "Validation Accuracy after Epoch 5: 14.19%\n", + "Epoch 6 completed. Loss: 4.300177574157715\n", + "Validation Accuracy after Epoch 6: 17.04%\n", + "Epoch 7 completed. Loss: 3.6726627349853516\n", + "Validation Accuracy after Epoch 7: 20.74%\n", + "Epoch 8 completed. Loss: 3.872858762741089\n", + "Validation Accuracy after Epoch 8: 24.35%\n", + "Epoch 9 completed. Loss: 3.4192371368408203\n", + "Validation Accuracy after Epoch 9: 26.34%\n", + "Epoch 10 completed. Loss: 3.1378841400146484\n", + "Validation Accuracy after Epoch 10: 28.81%\n", + "Epoch 11 completed. Loss: 2.6661603450775146\n", + "Validation Accuracy after Epoch 11: 30.66%\n", + "Epoch 12 completed. Loss: 2.873978614807129\n", + "Validation Accuracy after Epoch 12: 31.89%\n", + "Epoch 13 completed. Loss: 2.7727530002593994\n", + "Validation Accuracy after Epoch 13: 35.22%\n", + "Epoch 14 completed. Loss: 2.4830515384674072\n", + "Validation Accuracy after Epoch 14: 37.97%\n", + "Epoch 15 completed. Loss: 2.2535340785980225\n", + "Validation Accuracy after Epoch 15: 40.15%\n", + "Epoch 16 completed. Loss: 2.2358787059783936\n", + "Validation Accuracy after Epoch 16: 43.71%\n", + "Epoch 17 completed. Loss: 2.270059585571289\n", + "Validation Accuracy after Epoch 17: 46.13%\n", + "Epoch 18 completed. Loss: 1.9263427257537842\n", + "Validation Accuracy after Epoch 18: 49.83%\n", + "Epoch 19 completed. Loss: 1.8839179277420044\n", + "Validation Accuracy after Epoch 19: 53.77%\n", + "Epoch 20 completed. Loss: 1.7309540510177612\n", + "Validation Accuracy after Epoch 20: 59.23%\n", + "Epoch 21 completed. Loss: 1.6431639194488525\n", + "Validation Accuracy after Epoch 21: 65.50%\n", + "Epoch 22 completed. Loss: 1.4129509925842285\n", + "Validation Accuracy after Epoch 22: 68.77%\n", + "Epoch 23 completed. Loss: 1.6112335920333862\n", + "Validation Accuracy after Epoch 23: 72.05%\n", + "Epoch 24 completed. Loss: 1.3653665781021118\n", + "Validation Accuracy after Epoch 24: 74.23%\n", + "Epoch 25 completed. Loss: 1.2029541730880737\n", + "Validation Accuracy after Epoch 25: 76.46%\n", + "Epoch 26 completed. Loss: 1.1179462671279907\n", + "Validation Accuracy after Epoch 26: 78.64%\n", + "Epoch 27 completed. Loss: 1.1831905841827393\n", + "Validation Accuracy after Epoch 27: 81.02%\n", + "Epoch 28 completed. Loss: 0.8559420704841614\n", + "Validation Accuracy after Epoch 28: 82.72%\n", + "Epoch 29 completed. Loss: 0.8667900562286377\n", + "Validation Accuracy after Epoch 29: 82.58%\n", + "Epoch 30 completed. Loss: 1.1078470945358276\n", + "Validation Accuracy after Epoch 30: 83.72%\n", + "Epoch 31 completed. Loss: 0.8486237525939941\n", + "Validation Accuracy after Epoch 31: 84.34%\n", + "Epoch 32 completed. Loss: 0.804058313369751\n", + "Validation Accuracy after Epoch 32: 85.00%\n", + "Epoch 33 completed. Loss: 0.6297520399093628\n", + "Validation Accuracy after Epoch 33: 85.67%\n", + "Epoch 34 completed. Loss: 0.6711896657943726\n", + "Validation Accuracy after Epoch 34: 85.57%\n", + "Epoch 35 completed. Loss: 0.7203101515769958\n", + "Validation Accuracy after Epoch 35: 86.43%\n", + "Epoch 36 completed. Loss: 0.7537139654159546\n", + "Validation Accuracy after Epoch 36: 86.57%\n", + "Epoch 37 completed. Loss: 0.49183693528175354\n", + "Validation Accuracy after Epoch 37: 86.66%\n", + "Epoch 38 completed. Loss: 0.5906791090965271\n", + "Validation Accuracy after Epoch 38: 87.00%\n", + "Epoch 39 completed. Loss: 0.4300324320793152\n", + "Validation Accuracy after Epoch 39: 87.52%\n", + "Epoch 40 completed. Loss: 0.4216059744358063\n", + "Validation Accuracy after Epoch 40: 87.38%\n", + "Epoch 41 completed. Loss: 0.5085476636886597\n", + "Validation Accuracy after Epoch 41: 88.09%\n", + "Epoch 42 completed. Loss: 0.5296332836151123\n", + "Validation Accuracy after Epoch 42: 87.90%\n", + "Epoch 43 completed. Loss: 0.37904512882232666\n", + "Validation Accuracy after Epoch 43: 88.70%\n", + "Epoch 44 completed. Loss: 0.41481274366378784\n", + "Validation Accuracy after Epoch 44: 88.18%\n", + "Epoch 45 completed. Loss: 0.4976593255996704\n", + "Validation Accuracy after Epoch 45: 88.61%\n", + "Epoch 46 completed. Loss: 0.5229529142379761\n", + "Validation Accuracy after Epoch 46: 88.61%\n", + "Epoch 47 completed. Loss: 0.36945009231567383\n", + "Validation Accuracy after Epoch 47: 89.23%\n", + "Epoch 48 completed. Loss: 0.23448766767978668\n", + "Validation Accuracy after Epoch 48: 89.32%\n", + "Epoch 49 completed. Loss: 0.1870148777961731\n", + "Validation Accuracy after Epoch 49: 89.51%\n", + "Epoch 50 completed. Loss: 0.3627645969390869\n", + "Validation Accuracy after Epoch 50: 90.08%\n", + "Epoch 51 completed. Loss: 0.2712886929512024\n", + "Validation Accuracy after Epoch 51: 90.22%\n", + "Epoch 52 completed. Loss: 0.30932098627090454\n", + "Validation Accuracy after Epoch 52: 90.75%\n", + "Epoch 53 completed. Loss: 0.4048871099948883\n", + "Validation Accuracy after Epoch 53: 91.12%\n", + "Epoch 54 completed. Loss: 0.28516653180122375\n", + "Validation Accuracy after Epoch 54: 90.93%\n", + "Epoch 55 completed. Loss: 0.14647549390792847\n", + "Validation Accuracy after Epoch 55: 91.03%\n", + "Epoch 56 completed. Loss: 0.17482930421829224\n", + "Validation Accuracy after Epoch 56: 90.84%\n", + "Epoch 57 completed. Loss: 0.2837833762168884\n", + "Validation Accuracy after Epoch 57: 91.27%\n", + "Epoch 58 completed. Loss: 0.2879948914051056\n", + "Validation Accuracy after Epoch 58: 91.50%\n", + "Epoch 59 completed. Loss: 0.2823488712310791\n", + "Validation Accuracy after Epoch 59: 91.50%\n", + "Epoch 60 completed. Loss: 0.25875282287597656\n", + "Validation Accuracy after Epoch 60: 91.65%\n", + "Epoch 61 completed. Loss: 0.3561888337135315\n", + "Validation Accuracy after Epoch 61: 91.69%\n", + "Epoch 62 completed. Loss: 0.14592915773391724\n", + "Validation Accuracy after Epoch 62: 91.98%\n", + "Epoch 63 completed. Loss: 0.20252785086631775\n", + "Validation Accuracy after Epoch 63: 91.74%\n", + "Epoch 64 completed. Loss: 0.13009151816368103\n", + "Validation Accuracy after Epoch 64: 91.93%\n", + "Epoch 65 completed. Loss: 0.2165553867816925\n", + "Validation Accuracy after Epoch 65: 91.74%\n", + "Epoch 66 completed. Loss: 0.21152348816394806\n", + "Validation Accuracy after Epoch 66: 91.84%\n", + "Epoch 67 completed. Loss: 0.12813371419906616\n", + "Validation Accuracy after Epoch 67: 92.31%\n", + "Epoch 68 completed. Loss: 0.15637439489364624\n", + "Validation Accuracy after Epoch 68: 92.55%\n", + "Epoch 69 completed. Loss: 0.23416577279567719\n", + "Validation Accuracy after Epoch 69: 92.26%\n", + "Epoch 70 completed. Loss: 0.1982598602771759\n", + "Validation Accuracy after Epoch 70: 92.55%\n", + "Epoch 71 completed. Loss: 0.07098475098609924\n", + "Validation Accuracy after Epoch 71: 92.36%\n", + "Epoch 72 completed. Loss: 0.1463148593902588\n", + "Validation Accuracy after Epoch 72: 92.88%\n", + "Epoch 73 completed. Loss: 0.13348183035850525\n", + "Validation Accuracy after Epoch 73: 92.93%\n", + "Epoch 74 completed. Loss: 0.11992514878511429\n", + "Validation Accuracy after Epoch 74: 92.83%\n", + "Epoch 75 completed. Loss: 0.17647001147270203\n", + "Validation Accuracy after Epoch 75: 92.74%\n", + "Epoch 76 completed. Loss: 0.1956612467765808\n", + "Validation Accuracy after Epoch 76: 92.93%\n", + "Epoch 77 completed. Loss: 0.1292801946401596\n", + "Validation Accuracy after Epoch 77: 92.83%\n", + "Epoch 78 completed. Loss: 0.07164446264505386\n", + "Validation Accuracy after Epoch 78: 93.12%\n", + "Epoch 79 completed. Loss: 0.20230534672737122\n", + "Validation Accuracy after Epoch 79: 93.40%\n", + "Epoch 80 completed. Loss: 0.11642713099718094\n", + "Validation Accuracy after Epoch 80: 92.74%\n", + "Epoch 81 completed. Loss: 0.06227307766675949\n", + "Validation Accuracy after Epoch 81: 93.59%\n", + "Epoch 82 completed. Loss: 0.07498838752508163\n", + "Validation Accuracy after Epoch 82: 93.45%\n", + "Epoch 83 completed. Loss: 0.11042595654726028\n", + "Validation Accuracy after Epoch 83: 93.31%\n", + "Epoch 84 completed. Loss: 0.05229116976261139\n", + "Validation Accuracy after Epoch 84: 93.45%\n", + "Epoch 85 completed. Loss: 0.14967505633831024\n", + "Validation Accuracy after Epoch 85: 93.36%\n", + "Epoch 86 completed. Loss: 0.09601894021034241\n", + "Validation Accuracy after Epoch 86: 93.45%\n", + "Epoch 87 completed. Loss: 0.1715390384197235\n", + "Validation Accuracy after Epoch 87: 93.64%\n", + "Epoch 88 completed. Loss: 0.05024575814604759\n", + "Validation Accuracy after Epoch 88: 93.74%\n", + "Epoch 89 completed. Loss: 0.09373823553323746\n", + "Validation Accuracy after Epoch 89: 93.64%\n", + "Epoch 90 completed. Loss: 0.07261866331100464\n", + "Validation Accuracy after Epoch 90: 93.31%\n", + "Epoch 91 completed. Loss: 0.07679086923599243\n", + "Validation Accuracy after Epoch 91: 93.55%\n", + "Epoch 92 completed. Loss: 0.11550895869731903\n", + "Validation Accuracy after Epoch 92: 93.40%\n", + "Epoch 93 completed. Loss: 0.053604159504175186\n", + "Validation Accuracy after Epoch 93: 93.55%\n", + "Epoch 94 completed. Loss: 0.151311457157135\n", + "Validation Accuracy after Epoch 94: 93.36%\n", + "Epoch 95 completed. Loss: 0.12411662191152573\n", + "Validation Accuracy after Epoch 95: 93.07%\n", + "Epoch 96 completed. Loss: 0.0956164076924324\n", + "Validation Accuracy after Epoch 96: 93.97%\n", + "Epoch 97 completed. Loss: 0.1610800176858902\n", + "Validation Accuracy after Epoch 97: 93.74%\n", + "Epoch 98 completed. Loss: 0.0801430493593216\n", + "Validation Accuracy after Epoch 98: 93.83%\n", + "Epoch 99 completed. Loss: 0.09204142540693283\n", + "Validation Accuracy after Epoch 99: 93.78%\n", + "Epoch 100 completed. Loss: 0.02089226432144642\n", + "Validation Accuracy after Epoch 100: 93.74%\n", + "Accuracy (MDM=True) for Group 4: 93.48%\n", + "Results saved to 0.class_document/bert-tiny/4/test_p_c.csv\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from transformers import BertTokenizer, BertForSequenceClassification, AdamW\n", + "from sklearn.preprocessing import LabelEncoder\n", + "import torch\n", + "from torch.utils.data import Dataset, DataLoader\n", + "import numpy as np\n", + "import torch.nn.functional as F\n", + "import os \n", + "\n", + "group_number = 4\n", + "train_path = f'../../data_preprocess/dataset/{group_number}/train.csv'\n", + "valid_path = f'../../data_preprocess/dataset/{group_number}/valid.csv'\n", + "test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "output_path = f'0.class_document/bert-tiny/{group_number}/test_p_c.csv' # 디렉토리 변경\n", + "\n", + "# 데이터 읽기\n", + "train_data = pd.read_csv(train_path)\n", + "valid_data = pd.read_csv(valid_path)\n", + "test_data = pd.read_csv(test_path)\n", + "\n", + "# thing_property 필드 추가\n", + "train_data['thing_property'] = train_data['thing'] + '_' + train_data['property']\n", + "valid_data['thing_property'] = valid_data['thing'] + '_' + valid_data['property']\n", + "test_data['thing_property'] = test_data['thing'] + '_' + test_data['property']\n", + "\n", + "# 토크나이저 및 레이블 인코더 설정\n", + "tokenizer = BertTokenizer.from_pretrained('prajjwal1/bert-tiny') # 모델 변경\n", + "label_encoder = LabelEncoder()\n", + "label_encoder.fit(train_data['thing_property'])\n", + "\n", + "# 새로운 레이블 처리\n", + "valid_data['thing_property'] = valid_data['thing_property'].apply(\n", + " lambda x: x if x in label_encoder.classes_ else 'unknown_label')\n", + "test_data['thing_property'] = test_data['thing_property'].apply(\n", + " lambda x: x if x in label_encoder.classes_ else 'unknown_label')\n", + "\n", + "# 'unknown_label' 추가\n", + "label_encoder.classes_ = np.append(label_encoder.classes_, 'unknown_label')\n", + "\n", + "# 레이블 인코딩\n", + "train_data['label'] = label_encoder.transform(train_data['thing_property'])\n", + "valid_data['label'] = label_encoder.transform(valid_data['thing_property'])\n", + "test_data['label'] = label_encoder.transform(test_data['thing_property'])\n", + "\n", + "# 텍스트 및 레이블 준비\n", + "train_texts, train_labels = train_data['tag_description'], train_data['label']\n", + "valid_texts, valid_labels = valid_data['tag_description'], valid_data['label']\n", + "\n", + "# 텍스트 인코딩\n", + "train_encodings = tokenizer(list(train_texts), truncation=True, padding=True, return_tensors='pt')\n", + "valid_encodings = tokenizer(list(valid_texts), truncation=True, padding=True, return_tensors='pt')\n", + "\n", + "# 레이블을 텐서로 변환\n", + "train_labels = torch.tensor(train_labels.values)\n", + "valid_labels = torch.tensor(valid_labels.values)\n", + "\n", + "# 커스텀 데이터셋 정의\n", + "class CustomDataset(Dataset):\n", + " def __init__(self, encodings, labels):\n", + " self.encodings = encodings\n", + " self.labels = labels\n", + "\n", + " def __getitem__(self, idx):\n", + " item = {key: val[idx] for key, val in self.encodings.items()}\n", + " item['labels'] = self.labels[idx]\n", + " return item\n", + "\n", + " def __len__(self):\n", + " return len(self.labels)\n", + "\n", + "# 데이터셋 생성\n", + "train_dataset = CustomDataset(train_encodings, train_labels)\n", + "valid_dataset = CustomDataset(valid_encodings, valid_labels)\n", + "\n", + "# 데이터로더 생성\n", + "train_loader = DataLoader(train_dataset, batch_size=64, shuffle=True)\n", + "valid_loader = DataLoader(valid_dataset, batch_size=32, shuffle=False)\n", + "\n", + "# 모델 및 옵티마이저 설정\n", + "model = BertForSequenceClassification.from_pretrained(\n", + " 'prajjwal1/bert-tiny', # 모델 변경\n", + " num_labels=len(train_data['thing_property'].unique())\n", + ")\n", + "optimizer = AdamW(model.parameters(), lr=2e-4)\n", + "\n", + "# 장치 설정 (GPU 1 사용)\n", + "device = torch.device('cuda:1' if torch.cuda.is_available() else 'cpu')\n", + "model.to(device)\n", + "\n", + "epochs = 100\n", + "for epoch in range(epochs):\n", + " model.train()\n", + " for batch in train_loader:\n", + " optimizer.zero_grad()\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " labels = batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask, labels=labels)\n", + " loss = outputs.loss\n", + " loss.backward()\n", + " optimizer.step()\n", + " print(f\"Epoch {epoch + 1} completed. Loss: {loss.item()}\")\n", + "\n", + " # 검증 루프\n", + " model.eval()\n", + " correct, total = 0, 0\n", + "\n", + " with torch.no_grad():\n", + " for batch in valid_loader:\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " labels = batch['labels'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " predictions = torch.argmax(outputs.logits, dim=-1)\n", + " correct += (predictions == labels).sum().item()\n", + " total += labels.size(0)\n", + "\n", + " valid_accuracy = correct / total\n", + " print(f'Validation Accuracy after Epoch {epoch + 1}: {valid_accuracy * 100:.2f}%')\n", + "\n", + "# Test 데이터 예측 및 c_thing, c_property 추가\n", + "test_encodings = tokenizer(list(test_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "test_dataset = CustomDataset(test_encodings, torch.zeros(len(test_data))) # 레이블은 사용되지 않으므로 임시로 0을 사용\n", + "\n", + "test_loader = DataLoader(test_dataset, batch_size=32, shuffle=False)\n", + "\n", + "model.eval()\n", + "predicted_thing_properties = []\n", + "predicted_scores = []\n", + "\n", + "with torch.no_grad():\n", + " for batch in test_loader:\n", + " input_ids = batch['input_ids'].to(device)\n", + " attention_mask = batch['attention_mask'].to(device)\n", + " outputs = model(input_ids, attention_mask=attention_mask)\n", + " softmax_scores = F.softmax(outputs.logits, dim=-1)\n", + " predictions = torch.argmax(softmax_scores, dim=-1)\n", + " predicted_thing_properties.extend(predictions.cpu().numpy())\n", + " predicted_scores.extend(softmax_scores[range(len(predictions)), predictions].cpu().numpy())\n", + "\n", + "# 예측된 thing_property를 레이블 인코더로 디코딩\n", + "predicted_thing_property_labels = label_encoder.inverse_transform(predicted_thing_properties)\n", + "\n", + "# thing_property를 thing과 property로 나눔\n", + "test_data['c_thing'] = [x.split('_')[0] for x in predicted_thing_property_labels]\n", + "test_data['c_property'] = [x.split('_')[1] for x in predicted_thing_property_labels]\n", + "test_data['c_score'] = predicted_scores\n", + "\n", + "test_data['cthing_correct'] = test_data['thing'] == test_data['c_thing']\n", + "test_data['cproperty_correct'] = test_data['property'] == test_data['c_property']\n", + "test_data['ctp_correct'] = test_data['cthing_correct'] & test_data['cproperty_correct']\n", + "\n", + "mdm_true_count = len(test_data[test_data['MDM'] == True])\n", + "accuracy = (test_data['ctp_correct'].sum() / mdm_true_count) * 100\n", + "\n", + "print(f\"Accuracy (MDM=True) for Group {group_number}: {accuracy:.2f}%\")\n", + "\n", + "# 결과를 저장하기 전에 폴더가 존재하는지 확인하고, 없으면 생성\n", + "os.makedirs(os.path.dirname(output_path), exist_ok=True)\n", + "\n", + "test_data.to_csv(output_path, index=False)\n", + "print(f'Results saved to {output_path}')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# 'filtered_data_plot.csv' 읽기\n", + "filtered_data = pd.read_csv('filtered_data_plot.csv')\n", + "\n", + "# 데이터 토큰화\n", + "filtered_encodings = tokenizer(list(filtered_data['tag_description']), truncation=True, padding=True, return_tensors='pt')\n", + "\n", + "# BERT 임베딩 계산 함수\n", + "def get_bert_embeddings(model, encodings, device):\n", + " model.eval()\n", + " with torch.no_grad():\n", + " input_ids = encodings['input_ids'].to(device)\n", + " attention_mask = encodings['attention_mask'].to(device)\n", + " outputs = model.bert(input_ids=input_ids, attention_mask=attention_mask)\n", + " return outputs.last_hidden_state.mean(dim=1).cpu().numpy() # 각 문장의 평균 임베딩 추출\n", + "\n", + "# BERT 모델로 임베딩 계산\n", + "bert_embeddings = get_bert_embeddings(model, filtered_encodings, device)\n", + "\n", + "# t-SNE 차원 축소\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "tsne_results = tsne.fit_transform(bert_embeddings)\n", + "\n", + "# 시각화를 위한 준비\n", + "unique_patterns = filtered_data['pattern'].unique()\n", + "color_map = plt.get_cmap('tab20', len(unique_patterns))\n", + "pattern_to_color = {pattern: idx for idx, pattern in enumerate(unique_patterns)}\n", + "\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "# 각 패턴별로 시각화\n", + "for pattern, color_idx in pattern_to_color.items():\n", + " pattern_indices = filtered_data['pattern'] == pattern\n", + " plt.scatter(tsne_results[pattern_indices, 0], tsne_results[pattern_indices, 1], \n", + " color=color_map(color_idx), marker='o', s=100, alpha=0.6, edgecolor='k', linewidth=1.2)\n", + "\n", + "# 그래프 설정\n", + "plt.xticks(fontsize=24)\n", + "plt.yticks(fontsize=24)\n", + "plt.grid(True, which='both', linestyle='--', linewidth=0.5, alpha=0.6)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2.classify_by_tfidf.ipynb b/post_process/tfidf_class/2a.classifier_class_tfidf.ipynb similarity index 62% rename from post_process/tfidf_class/2.classify_by_tfidf.ipynb rename to post_process/tfidf_class/2a.classifier_class_tfidf.ipynb index ef2344d..5d8e482 100644 --- a/post_process/tfidf_class/2.classify_by_tfidf.ipynb +++ b/post_process/tfidf_class/2a.classifier_class_tfidf.ipynb @@ -2,40 +2,36 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Accuracy (MDM=True) for Group 1: 79.41%\n", - "Accuracy (MDM=True) for Group 2: 79.32%\n", - "Accuracy (MDM=True) for Group 3: 82.49%\n", - "Accuracy (MDM=True) for Group 4: 85.61%\n", - "Accuracy (MDM=True) for Group 5: 79.72%\n", - "Average Accuracy (MDM=True) across all groups: 81.31%\n" + "Accuracy (MDM=True) for Group 1: 73.50%\n", + "Accuracy (MDM=True) for Group 2: 78.04%\n", + "Accuracy (MDM=True) for Group 3: 81.73%\n", + "Accuracy (MDM=True) for Group 4: 79.83%\n", + "Accuracy (MDM=True) for Group 5: 81.31%\n", + "Average Accuracy (MDM=True) across all groups: 78.88%\n" ] } ], "source": [ "import pandas as pd\n", "from sklearn.feature_extraction.text import TfidfVectorizer\n", - "from sklearn.metrics.pairwise import cosine_similarity\n", + "from sklearn.metrics import pairwise_distances\n", "from tqdm import tqdm\n", "import os\n", "\n", - "# Initialize a list to store the accuracies for each group\n", "accuracies = []\n", "\n", - "# Loop through group numbers from 1 to 5\n", "for group_number in range(1, 6):\n", " \n", - " # Load the CSV files from the specified group\n", " sdl_class_rdoc_path = f'0.class_document/{group_number}/sdl_class_rdoc.csv'\n", - " test_path = f'../../data_preprocess/dataset/{group_number}/test.csv'\n", + " test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", " \n", - " # Check if test file exists, if not, skip this iteration\n", " if not os.path.exists(test_path):\n", " print(f\"test file for Group {group_number} does not exist. Skipping...\")\n", " continue\n", @@ -43,68 +39,54 @@ " sdl_class_rdoc_csv = pd.read_csv(sdl_class_rdoc_path, low_memory=False)\n", " test_csv = pd.read_csv(test_path, low_memory=False)\n", " \n", - " # Replace NaN values with empty strings in relevant columns\n", " sdl_class_rdoc_csv['tag_description'] = sdl_class_rdoc_csv['tag_description'].fillna('')\n", " test_csv['tag_description'] = test_csv['tag_description'].fillna('')\n", " \n", - " # Initialize new columns in test_csv\n", " test_csv['c_thing'] = ''\n", " test_csv['c_property'] = ''\n", " test_csv['c_score'] = ''\n", - " test_csv['c_duplicate'] = 0 # Initialize c_duplicate to store duplicate counts\n", + " test_csv['c_duplicate'] = 0\n", " \n", - " # Combine both sdl_class_rdoc and test CSVs tag_descriptions for TF-IDF Vectorizer training\n", " combined_tag_descriptions = sdl_class_rdoc_csv['tag_description'].tolist() + test_csv['tag_description'].tolist()\n", " \n", - " # Create a TF-IDF Vectorizer\n", " vectorizer = TfidfVectorizer(\n", + " use_idf=True, \n", " token_pattern=r'\\S+',\n", - " ngram_range=(1, 6), # Use ngrams from 1 to 6\n", + " ngram_range=(1, 1),\n", " )\n", " \n", - " # Fit the TF-IDF vectorizer on the combined tag_descriptions\n", " vectorizer.fit(combined_tag_descriptions)\n", " \n", - " # Transform both sdl_class_rdoc and test CSVs into TF-IDF matrices\n", " sdl_class_rdoc_tfidf_matrix = vectorizer.transform(sdl_class_rdoc_csv['tag_description'])\n", " test_tfidf_matrix = vectorizer.transform(test_csv['tag_description'])\n", " \n", - " # Calculate cosine similarity between test and class-level sdl_class_rdoc vectors\n", - " similarity_matrix = cosine_similarity(test_tfidf_matrix, sdl_class_rdoc_tfidf_matrix)\n", + " distance_matrix = pairwise_distances(test_tfidf_matrix, sdl_class_rdoc_tfidf_matrix, metric='cosine')\n", " \n", - " # Find the most similar class-level tag_description for each test description\n", - " most_similar_indices = similarity_matrix.argmax(axis=1)\n", - " most_similar_scores = similarity_matrix.max(axis=1)\n", + " most_similar_indices = distance_matrix.argmin(axis=1)\n", + " most_similar_scores = 1 - distance_matrix.min(axis=1)\n", " \n", - " # Assign the corresponding thing, property, and similarity score to the test CSV\n", " test_csv['c_thing'] = sdl_class_rdoc_csv.iloc[most_similar_indices]['thing'].values\n", " test_csv['c_property'] = sdl_class_rdoc_csv.iloc[most_similar_indices]['property'].values\n", " test_csv['c_score'] = most_similar_scores\n", " \n", - " # Check if the predicted 'c_thing' and 'c_property' match the actual 'thing' and 'property'\n", " test_csv['cthing_correct'] = test_csv['thing'] == test_csv['c_thing']\n", " test_csv['cproperty_correct'] = test_csv['property'] == test_csv['c_property']\n", " test_csv['ctp_correct'] = test_csv['cthing_correct'] & test_csv['cproperty_correct']\n", " \n", - " # Calculate accuracy based only on MDM = True\n", " mdm_true_count = len(test_csv[test_csv['MDM'] == True])\n", " accuracy = (test_csv['ctp_correct'].sum() / mdm_true_count) * 100\n", " accuracies.append(accuracy)\n", " \n", " print(f\"Accuracy (MDM=True) for Group {group_number}: {accuracy:.2f}%\")\n", " \n", - " # Specify output file paths\n", " output_path = f'0.class_document/{group_number}/test_p_c.csv'\n", " test_csv.to_csv(output_path, index=False, encoding='utf-8-sig')\n", " \n", - " # Filter for rows where MDM is True and ctp_correct is False\n", " false_positive_rows = test_csv[(test_csv['MDM'] == True) & (test_csv['ctp_correct'] == False)]\n", " \n", - " # Save false positives to a separate file\n", " fp_output_path = f'0.class_document/{group_number}/fp_class.csv'\n", " false_positive_rows.to_csv(fp_output_path, index=False, encoding='utf-8-sig')\n", "\n", - "# Calculate and print the average accuracy across all groups\n", "average_accuracy = sum(accuracies) / len(accuracies)\n", "print(f\"Average Accuracy (MDM=True) across all groups: {average_accuracy:.2f}%\")\n" ] diff --git a/post_process/tfidf_class/2a.classifier_knn_bow.ipynb b/post_process/tfidf_class/2a.classifier_knn_bow.ipynb new file mode 100644 index 0000000..2d88c36 --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_knn_bow.ipynb @@ -0,0 +1,116 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average Accuracy (MDM=True) across all groups with n_neighbors=1: 84.43%\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, name, value)\u001b[0m\n\u001b[1;32m 6310\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6311\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6312\u001b[0;31m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6313\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'Series' object has no attribute '_name'", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/tmp/ipykernel_89094/2696322053.py\u001b[0m in \u001b[0;36m?\u001b[0;34m()\u001b[0m\n\u001b[1;32m 32\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[0mdistances\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindices\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mknn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkneighbors\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_bow_matrix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 34\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 35\u001b[0m \u001b[0mpredicted_things\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mtrain_all_csv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mindices\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'thing'\u001b[0m\u001b[0;34m]\u001b[0m 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but\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, name, value)\u001b[0m\n\u001b[1;32m 6308\u001b[0m \u001b[0;31m# e.g. ``obj.x`` and ``obj.x = 4`` will always reference/modify\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6309\u001b[0m \u001b[0;31m# the same attribute.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6310\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6311\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6312\u001b[0;31m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6313\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6314\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6315\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.neighbors import NearestNeighbors\n", + "import os\n", + "\n", + "average_accuracies = []\n", + "\n", + "for n in range(1, 53):\n", + " accuracies = []\n", + " for group_number in range(1, 6):\n", + " train_all_path = f'../../data_preprocess/dataset/{group_number}/train_all.csv'\n", + " test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "\n", + " if not os.path.exists(test_path):\n", + " print(f\"Test file for Group {group_number} does not exist. Skipping...\")\n", + " continue\n", + "\n", + " train_all_csv = pd.read_csv(train_all_path, low_memory=False)\n", + " test_csv = pd.read_csv(test_path, low_memory=False)\n", + "\n", + " train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('')\n", + " test_csv['tag_description'] = test_csv['tag_description'].fillna('')\n", + "\n", + " test_csv['c_thing'], test_csv['c_property'], test_csv['c_score'], test_csv['c_duplicate'] = '', '', '', 0\n", + "\n", + " vectorizer = CountVectorizer(token_pattern=r'\\S+', ngram_range=(1, 1))\n", + " train_all_bow_matrix = vectorizer.fit_transform(train_all_csv['tag_description'])\n", + " test_bow_matrix = vectorizer.transform(test_csv['tag_description'])\n", + "\n", + " knn = NearestNeighbors(n_neighbors=n, metric='euclidean', n_jobs=-1)\n", + " knn.fit(train_all_bow_matrix)\n", + "\n", + " distances, indices = knn.kneighbors(test_bow_matrix)\n", + "\n", + " predicted_things = [train_all_csv.iloc[indices[i][0]]['thing'] for i in range(len(test_csv))]\n", + " predicted_properties = [train_all_csv.iloc[indices[i][0]]['property'] for i in range(len(test_csv))]\n", + " predicted_scores = [1 - distances[i][0] for i in range(len(test_csv))]\n", + "\n", + " test_csv['c_thing'], test_csv['c_property'], test_csv['c_score'] = predicted_things, predicted_properties, predicted_scores\n", + "\n", + " test_csv['cthing_correct'] = test_csv['thing'] == test_csv['c_thing']\n", + " test_csv['cproperty_correct'] = test_csv['property'] == test_csv['c_property']\n", + " test_csv['ctp_correct'] = test_csv['cthing_correct'] & test_csv['cproperty_correct']\n", + "\n", + " mdm_true_count = len(test_csv[test_csv['MDM'] == True])\n", + " accuracies.append((test_csv['ctp_correct'].sum() / mdm_true_count) * 100)\n", + "\n", + " average_accuracy = sum(accuracies) / len(accuracies)\n", + " average_accuracies.append(average_accuracy)\n", + " print(f\"Average Accuracy (MDM=True) across all groups with n_neighbors={n}: {average_accuracy:.2f}%\")\n", + "\n", + "print(\"\\nFinal Results:\")\n", + "for n, avg_accuracy in zip(range(1, 53), average_accuracies):\n", + " print(f\"n_neighbors={n}, Average Accuracy: {avg_accuracy:.2f}%\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_knn_bow_J.ipynb b/post_process/tfidf_class/2a.classifier_knn_bow_J.ipynb new file mode 100644 index 0000000..8f3049a --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_knn_bow_J.ipynb @@ -0,0 +1,142 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average Accuracy (MDM=True) across all groups with n_neighbors=5: 86.09%\n", + "\n", + "Final Results:\n", + "n_neighbors=1, Average Accuracy: 86.09%\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.neighbors import NearestNeighbors\n", + "import os\n", + "import numpy as np\n", + "from joblib import Parallel, delayed\n", + "\n", + "# Initialize variables to store overall accuracy results\n", + "average_accuracies = []\n", + "\n", + "# Function to process each group (parallelized later)\n", + "def process_group(n, group_number):\n", + " train_all_path = f'../../data_preprocess/dataset/{group_number}/train_all.csv'\n", + " test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "\n", + " if not os.path.exists(test_path):\n", + " print(f\"Test file for Group {group_number} does not exist. Skipping...\")\n", + " return None\n", + "\n", + " # Load the train_all and test CSVs\n", + " train_all_csv = pd.read_csv(train_all_path, low_memory=False)\n", + " test_csv = pd.read_csv(test_path, low_memory=False)\n", + "\n", + " train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('')\n", + " test_csv['tag_description'] = test_csv['tag_description'].fillna('')\n", + "\n", + " test_csv['c_thing'] = ''\n", + " test_csv['c_property'] = ''\n", + " test_csv['c_score'] = ''\n", + " test_csv['c_duplicate'] = 0\n", + "\n", + " combined_tag_descriptions = train_all_csv['tag_description'].tolist()\n", + "\n", + " # BoW를 Boolean 방식으로 변환\n", + " vectorizer = CountVectorizer(token_pattern=r'\\S+', binary=True)\n", + " vectorizer.fit(combined_tag_descriptions)\n", + "\n", + " train_all_bow_matrix = vectorizer.transform(train_all_csv['tag_description']).toarray().astype(bool) # bool로 변환\n", + " test_bow_matrix = vectorizer.transform(test_csv['tag_description']).toarray().astype(bool)\n", + "\n", + " # NearestNeighbors에서 Jaccard 유사도를 사용 (모든 CPU 사용)\n", + " knn = NearestNeighbors(n_neighbors=n, metric='jaccard', n_jobs=-1) # n_jobs=-1로 모든 CPU 사용\n", + " knn.fit(train_all_bow_matrix)\n", + "\n", + " distances, indices = knn.kneighbors(test_bow_matrix)\n", + "\n", + " predicted_things = []\n", + " predicted_properties = []\n", + " predicted_scores = []\n", + "\n", + " for i in range(len(test_csv)):\n", + " neighbor_index = indices[i][0]\n", + " distance = distances[i][0]\n", + "\n", + " neighbor_thing = train_all_csv.iloc[neighbor_index]['thing']\n", + " neighbor_property = train_all_csv.iloc[neighbor_index]['property']\n", + "\n", + " predicted_things.append(neighbor_thing)\n", + " predicted_properties.append(neighbor_property)\n", + "\n", + " # Jaccard 유사도는 1 - 거리로 계산\n", + " predicted_score = 1 - distance\n", + " predicted_scores.append(predicted_score)\n", + "\n", + " test_csv['c_thing'] = predicted_things\n", + " test_csv['c_property'] = predicted_properties\n", + " test_csv['c_score'] = predicted_scores\n", + "\n", + " test_csv['cthing_correct'] = test_csv['thing'] == test_csv['c_thing']\n", + " test_csv['cproperty_correct'] = test_csv['property'] == test_csv['c_property']\n", + " test_csv['ctp_correct'] = test_csv['cthing_correct'] & test_csv['cproperty_correct']\n", + "\n", + " mdm_true_count = len(test_csv[test_csv['MDM'] == True])\n", + " accuracy = (test_csv['ctp_correct'].sum() / mdm_true_count) * 100\n", + " if(n==5): \n", + " output_path = f'0.class_document/{group_number}/test_p_c.csv'\n", + " test_csv.to_csv(output_path, index=False, encoding='utf-8-sig')\n", + "\n", + " return accuracy\n", + "\n", + "# Loop through n_neighbors values from 1 to 52\n", + "for n in range(5, 6):\n", + " # Parallel processing for groups\n", + " results = Parallel(n_jobs=-1)(delayed(process_group)(n, group_number) for group_number in range(1, 6))\n", + "\n", + " # Filter out None results (in case of missing files)\n", + " accuracies = [result for result in results if result is not None]\n", + "\n", + " if accuracies:\n", + " average_accuracy = sum(accuracies) / len(accuracies)\n", + " average_accuracies.append(average_accuracy)\n", + " print(f\"Average Accuracy (MDM=True) across all groups with n_neighbors={n}: {average_accuracy:.2f}%\")\n", + "\n", + "# Print overall results for all n_neighbors values\n", + "print(\"\\nFinal Results:\")\n", + "for n, avg_accuracy in zip(range(1, 53), average_accuracies):\n", + " print(f\"n_neighbors={n}, Average Accuracy: {avg_accuracy:.2f}%\")\n", + " \n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_knn_tfidfy.ipynb b/post_process/tfidf_class/2a.classifier_knn_tfidfy.ipynb new file mode 100644 index 0000000..4106b0d --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_knn_tfidfy.ipynb @@ -0,0 +1,148 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "test_p_c.csv saved for Group 1 at 0.class_document/knn_tfidf/1/test_p_c.csv\n", + "test_p_c.csv saved for Group 2 at 0.class_document/knn_tfidf/2/test_p_c.csv\n", + "test_p_c.csv saved for Group 3 at 0.class_document/knn_tfidf/3/test_p_c.csv\n", + "test_p_c.csv saved for Group 4 at 0.class_document/knn_tfidf/4/test_p_c.csv\n", + "test_p_c.csv saved for Group 5 at 0.class_document/knn_tfidf/5/test_p_c.csv\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=5: 84.37%\n", + "\n", + "Final Results:\n", + "n_neighbors=1, Average Accuracy: 84.37%\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.neighbors import NearestNeighbors\n", + "import os\n", + "\n", + "# Initialize variables to store overall accuracy results\n", + "average_accuracies = []\n", + "\n", + "# Loop through n_neighbors values from 1 to 52\n", + "for n in range(5, 6):\n", + " accuracies = [] # Store accuracy for each group\n", + "\n", + " # Loop through group numbers from 1 to 5\n", + " for group_number in range(1, 6):\n", + " train_all_path = f'../../data_preprocess/dataset/{group_number}/train_all.csv'\n", + " test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "\n", + " if not os.path.exists(test_path):\n", + " print(f\"Test file for Group {group_number} does not exist. Skipping...\")\n", + " continue\n", + "\n", + " # Load the train_all and test CSVs\n", + " train_all_csv = pd.read_csv(train_all_path, low_memory=False)\n", + " test_csv = pd.read_csv(test_path, low_memory=False)\n", + "\n", + " train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('')\n", + " test_csv['tag_description'] = test_csv['tag_description'].fillna('')\n", + "\n", + " test_csv['c_thing'] = ''\n", + " test_csv['c_property'] = ''\n", + " test_csv['c_score'] = ''\n", + " test_csv['c_duplicate'] = 0\n", + "\n", + " combined_tag_descriptions = train_all_csv['tag_description'].tolist()\n", + "\n", + " # TfidfVectorizer 사용\n", + " vectorizer = TfidfVectorizer(token_pattern=r'\\S+', ngram_range=(1, 1), use_idf=True)\n", + " vectorizer.fit(combined_tag_descriptions)\n", + "\n", + " train_all_tfidf_matrix = vectorizer.transform(train_all_csv['tag_description'])\n", + " test_tfidf_matrix = vectorizer.transform(test_csv['tag_description'])\n", + "\n", + " # KNN에서 유클리디안 거리를 이용\n", + " knn = NearestNeighbors(n_neighbors=n, metric='cosine', n_jobs=-1)\n", + " knn.fit(train_all_tfidf_matrix)\n", + "\n", + " distances, indices = knn.kneighbors(test_tfidf_matrix)\n", + "\n", + " predicted_things = []\n", + " predicted_properties = []\n", + " predicted_scores = []\n", + "\n", + " for i in range(len(test_csv)):\n", + " neighbor_index = indices[i][0]\n", + " distance = distances[i][0]\n", + "\n", + " neighbor_thing = train_all_csv.iloc[neighbor_index]['thing']\n", + " neighbor_property = train_all_csv.iloc[neighbor_index]['property']\n", + "\n", + " predicted_things.append(neighbor_thing)\n", + " predicted_properties.append(neighbor_property)\n", + "\n", + " # 거리 기반으로 유사도 점수 계산\n", + " predicted_score = 1 - distance\n", + " predicted_scores.append(predicted_score)\n", + "\n", + " test_csv['c_thing'] = predicted_things\n", + " test_csv['c_property'] = predicted_properties\n", + " test_csv['c_score'] = predicted_scores\n", + "\n", + " test_csv['cthing_correct'] = test_csv['thing'] == test_csv['c_thing']\n", + " test_csv['cproperty_correct'] = test_csv['property'] == test_csv['c_property']\n", + " test_csv['ctp_correct'] = test_csv['cthing_correct'] & test_csv['cproperty_correct']\n", + "\n", + " mdm_true_count = len(test_csv[test_csv['MDM'] == True])\n", + " accuracy = (test_csv['ctp_correct'].sum() / mdm_true_count) * 100\n", + " accuracies.append(accuracy)\n", + "\n", + " # n_neighbors가 5일 때, test_csv를 지정된 경로에 저장\n", + " if n == 5:\n", + " output_path = f'0.class_document/knn_tfidf/{group_number}/test_p_c.csv'\n", + " os.makedirs(os.path.dirname(output_path), exist_ok=True) # 폴더가 없을 경우 생성\n", + " test_csv.to_csv(output_path, index=False)\n", + " print(f\"test_p_c.csv saved for Group {group_number} at {output_path}\")\n", + "\n", + " # Calculate the average accuracy for the current n_neighbors value\n", + " average_accuracy = sum(accuracies) / len(accuracies)\n", + " average_accuracies.append(average_accuracy)\n", + " print(f\"Average Accuracy (MDM=True) across all groups with n_neighbors={n}: {average_accuracy:.2f}%\")\n", + "\n", + "# Print overall results for all n_neighbors values\n", + "print(\"\\nFinal Results:\")\n", + "for n, avg_accuracy in zip(range(1, 53), average_accuracies):\n", + " print(f\"n_neighbors={n}, Average Accuracy: {avg_accuracy:.2f}%\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_knn_word2vec.ipynb b/post_process/tfidf_class/2a.classifier_knn_word2vec.ipynb new file mode 100644 index 0000000..19cb276 --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_knn_word2vec.ipynb @@ -0,0 +1,174 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average Accuracy (MDM=True) across all groups with n_neighbors=1: 85.69%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=2: 86.04%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=3: 85.85%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=4: 85.88%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=5: 85.84%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=6: 85.81%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=7: 85.84%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=8: 85.86%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=9: 85.84%\n", + "Average Accuracy (MDM=True) across all groups with n_neighbors=10: 85.91%\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 53\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[38;5;66;03m# Compute Word2Vec vectors for the train and test data\u001b[39;00m\n\u001b[1;32m 52\u001b[0m train_all_vectors \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray([compute_sentence_vector(desc, model, vector_size) \u001b[38;5;28;01mfor\u001b[39;00m desc \u001b[38;5;129;01min\u001b[39;00m train_all_csv[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtag_description\u001b[39m\u001b[38;5;124m'\u001b[39m]])\n\u001b[0;32m---> 53\u001b[0m test_vectors \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray([compute_sentence_vector(desc, model, vector_size) \u001b[38;5;28;01mfor\u001b[39;00m desc \u001b[38;5;129;01min\u001b[39;00m test_csv[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtag_description\u001b[39m\u001b[38;5;124m'\u001b[39m]])\n\u001b[1;32m 55\u001b[0m \u001b[38;5;66;03m# KNN에서 코사인 거리를 이용\u001b[39;00m\n\u001b[1;32m 56\u001b[0m knn \u001b[38;5;241m=\u001b[39m NearestNeighbors(n_neighbors\u001b[38;5;241m=\u001b[39mn, metric\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124meuclidean\u001b[39m\u001b[38;5;124m'\u001b[39m, n_jobs\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n", + "Cell \u001b[0;32mIn[1], line 53\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[38;5;66;03m# Compute Word2Vec vectors for the train and test data\u001b[39;00m\n\u001b[1;32m 52\u001b[0m train_all_vectors \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray([compute_sentence_vector(desc, model, vector_size) \u001b[38;5;28;01mfor\u001b[39;00m desc \u001b[38;5;129;01min\u001b[39;00m train_all_csv[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtag_description\u001b[39m\u001b[38;5;124m'\u001b[39m]])\n\u001b[0;32m---> 53\u001b[0m test_vectors \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray([\u001b[43mcompute_sentence_vector\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdesc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvector_size\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m desc \u001b[38;5;129;01min\u001b[39;00m test_csv[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtag_description\u001b[39m\u001b[38;5;124m'\u001b[39m]])\n\u001b[1;32m 55\u001b[0m \u001b[38;5;66;03m# KNN에서 코사인 거리를 이용\u001b[39;00m\n\u001b[1;32m 56\u001b[0m knn \u001b[38;5;241m=\u001b[39m NearestNeighbors(n_neighbors\u001b[38;5;241m=\u001b[39mn, metric\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124meuclidean\u001b[39m\u001b[38;5;124m'\u001b[39m, n_jobs\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n", + "Cell \u001b[0;32mIn[1], line 12\u001b[0m, in \u001b[0;36mcompute_sentence_vector\u001b[0;34m(sentence, model, vector_size)\u001b[0m\n\u001b[1;32m 10\u001b[0m word_vectors \u001b[38;5;241m=\u001b[39m [model\u001b[38;5;241m.\u001b[39mwv[word] \u001b[38;5;28;01mfor\u001b[39;00m word \u001b[38;5;129;01min\u001b[39;00m words \u001b[38;5;28;01mif\u001b[39;00m word \u001b[38;5;129;01min\u001b[39;00m model\u001b[38;5;241m.\u001b[39mwv]\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(word_vectors) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m---> 12\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmean\u001b[49m\u001b[43m(\u001b[49m\u001b[43mword_vectors\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 14\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39mzeros(vector_size)\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/numpy/core/fromnumeric.py:3504\u001b[0m, in \u001b[0;36mmean\u001b[0;34m(a, axis, dtype, out, keepdims, where)\u001b[0m\n\u001b[1;32m 3501\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 3502\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m mean(axis\u001b[38;5;241m=\u001b[39maxis, dtype\u001b[38;5;241m=\u001b[39mdtype, out\u001b[38;5;241m=\u001b[39mout, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m-> 3504\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_methods\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mean\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3505\u001b[0m \u001b[43m \u001b[49m\u001b[43mout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mout\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/numpy/core/_methods.py:118\u001b[0m, in \u001b[0;36m_mean\u001b[0;34m(a, axis, dtype, out, keepdims, where)\u001b[0m\n\u001b[1;32m 115\u001b[0m dtype \u001b[38;5;241m=\u001b[39m mu\u001b[38;5;241m.\u001b[39mdtype(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mf4\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 116\u001b[0m is_float16_result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m--> 118\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[43mumr_sum\u001b[49m\u001b[43m(\u001b[49m\u001b[43marr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mout\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeepdims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwhere\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mwhere\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 119\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(ret, mu\u001b[38;5;241m.\u001b[39mndarray):\n\u001b[1;32m 120\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m _no_nep50_warning():\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from gensim.models import Word2Vec\n", + "from sklearn.neighbors import NearestNeighbors\n", + "import os\n", + "\n", + "# Function to compute the average Word2Vec vector for a sentence\n", + "def compute_sentence_vector(sentence, model, vector_size):\n", + " words = sentence.split()\n", + " word_vectors = [model.wv[word] for word in words if word in model.wv]\n", + " if len(word_vectors) > 0:\n", + " return np.mean(word_vectors, axis=0)\n", + " else:\n", + " return np.zeros(vector_size)\n", + "\n", + "# Initialize variables to store overall accuracy results\n", + "average_accuracies = []\n", + "\n", + "# Loop through n_neighbors values from 1 to 52\n", + "for n in range(1, 53):\n", + " accuracies = [] # Store accuracy for each group\n", + "\n", + " # Loop through group numbers from 1 to 5\n", + " for group_number in range(1, 6):\n", + " train_all_path = f'../../data_preprocess/dataset/{group_number}/train_all.csv'\n", + " test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "\n", + " if not os.path.exists(test_path):\n", + " print(f\"Test file for Group {group_number} does not exist. Skipping...\")\n", + " continue\n", + "\n", + " # Load the train_all and test CSVs\n", + " train_all_csv = pd.read_csv(train_all_path, low_memory=False)\n", + " test_csv = pd.read_csv(test_path, low_memory=False)\n", + "\n", + " train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('')\n", + " test_csv['tag_description'] = test_csv['tag_description'].fillna('')\n", + "\n", + " test_csv['c_thing'] = ''\n", + " test_csv['c_property'] = ''\n", + " test_csv['c_score'] = ''\n", + " test_csv['c_duplicate'] = 0\n", + "\n", + " combined_tag_descriptions = train_all_csv['tag_description'].tolist() + test_csv['tag_description'].tolist()\n", + "\n", + " # Train Word2Vec model on combined descriptions\n", + " sentences = [desc.split() for desc in combined_tag_descriptions]\n", + " vector_size = 200 # You can set the vector size as needed\n", + " model = Word2Vec(sentences, vector_size=vector_size, window=3, min_count=1, workers=-1)\n", + "\n", + " # Compute Word2Vec vectors for the train and test data\n", + " train_all_vectors = np.array([compute_sentence_vector(desc, model, vector_size) for desc in train_all_csv['tag_description']])\n", + " test_vectors = np.array([compute_sentence_vector(desc, model, vector_size) for desc in test_csv['tag_description']])\n", + "\n", + " # KNN에서 코사인 거리를 이용\n", + " knn = NearestNeighbors(n_neighbors=n, metric='euclidean', n_jobs=-1)\n", + " knn.fit(train_all_vectors)\n", + "\n", + " distances, indices = knn.kneighbors(test_vectors)\n", + "\n", + " predicted_things = []\n", + " predicted_properties = []\n", + " predicted_scores = []\n", + "\n", + " for i in range(len(test_csv)):\n", + " neighbor_index = indices[i][0]\n", + " distance = distances[i][0]\n", + "\n", + " neighbor_thing = train_all_csv.iloc[neighbor_index]['thing']\n", + " neighbor_property = train_all_csv.iloc[neighbor_index]['property']\n", + "\n", + " predicted_things.append(neighbor_thing)\n", + " predicted_properties.append(neighbor_property)\n", + "\n", + " # 거리 기반으로 유사도 점수 계산\n", + " predicted_score = 1 - distance\n", + " predicted_scores.append(predicted_score)\n", + "\n", + " test_csv['c_thing'] = predicted_things\n", + " test_csv['c_property'] = predicted_properties\n", + " test_csv['c_score'] = predicted_scores\n", + "\n", + " test_csv['cthing_correct'] = test_csv['thing'] == test_csv['c_thing']\n", + " test_csv['cproperty_correct'] = test_csv['property'] == test_csv['c_property']\n", + " test_csv['ctp_correct'] = test_csv['cthing_correct'] & test_csv['cproperty_correct']\n", + "\n", + " mdm_true_count = len(test_csv[test_csv['MDM'] == True])\n", + " accuracy = (test_csv['ctp_correct'].sum() / mdm_true_count) * 100\n", + " accuracies.append(accuracy)\n", + "\n", + " # Calculate the average accuracy for the current n_neighbors value\n", + " average_accuracy = sum(accuracies) / len(accuracies)\n", + " average_accuracies.append(average_accuracy)\n", + " print(f\"Average Accuracy (MDM=True) across all groups with n_neighbors={n}: {average_accuracy:.2f}%\")\n", + "\n", + "# Print overall results for all n_neighbors values\n", + "print(\"\\nFinal Results:\")\n", + "for n, avg_accuracy in zip(range(1, 53), average_accuracies):\n", + " print(f\"n_neighbors={n}, Average Accuracy: {avg_accuracy:.2f}%\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_svm_bow.ipynb b/post_process/tfidf_class/2a.classifier_svm_bow.ipynb new file mode 100644 index 0000000..47f6fc9 --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_svm_bow.ipynb @@ -0,0 +1,147 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running SVM with C=1000\n", + "Average Accuracy (MDM=True) across all groups with C=1000: 89.36%\n", + "Running SVM with C=10000\n", + "Average Accuracy (MDM=True) across all groups with C=10000: 89.36%\n", + "Running SVM with C=100000\n", + "Average Accuracy (MDM=True) across all groups with C=100000: 89.36%\n", + "Running SVM with C=1000000\n", + "Average Accuracy (MDM=True) across all groups with C=1000000: 89.36%\n", + "\n", + "Final Results for each C value:\n", + "C=1000, Average Accuracy: 89.36%\n", + "C=10000, Average Accuracy: 89.36%\n", + "C=100000, Average Accuracy: 89.36%\n", + "C=1000000, Average Accuracy: 89.36%\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.svm import SVC\n", + "import os\n", + "import numpy as np\n", + "from joblib import Parallel, delayed\n", + "\n", + "# Initialize variables to store overall accuracy results\n", + "average_accuracies = {}\n", + "\n", + "# Function to process each group (parallelized later)\n", + "def process_group(C_value, group_number):\n", + " train_all_path = f'../../data_preprocess/dataset/{group_number}/train_all.csv'\n", + " test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "\n", + " if not os.path.exists(test_path):\n", + " print(f\"Test file for Group {group_number} does not exist. Skipping...\")\n", + " return None\n", + "\n", + " # Load the train_all and test CSVs\n", + " train_all_csv = pd.read_csv(train_all_path, low_memory=False)\n", + " test_csv = pd.read_csv(test_path, low_memory=False)\n", + "\n", + " train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('')\n", + " test_csv['tag_description'] = test_csv['tag_description'].fillna('')\n", + "\n", + " test_csv['c_thing'] = ''\n", + " test_csv['c_property'] = ''\n", + " test_csv['c_score'] = ''\n", + " test_csv['c_duplicate'] = 0\n", + "\n", + " combined_tag_descriptions = train_all_csv['tag_description'].tolist()\n", + "\n", + " # BoW를 Boolean 방식으로 변환\n", + " vectorizer = CountVectorizer(token_pattern=r'\\S+', binary=True)\n", + " vectorizer.fit(combined_tag_descriptions)\n", + "\n", + " train_all_bow_matrix = vectorizer.transform(train_all_csv['tag_description']).toarray().astype(bool) # bool로 변환\n", + " test_bow_matrix = vectorizer.transform(test_csv['tag_description']).toarray().astype(bool)\n", + "\n", + " # SVM 모델 학습 및 예측\n", + " svm_model_thing = SVC(kernel='linear', probability=True, C=C_value)\n", + " svm_model_property = SVC(kernel='linear', probability=True, C=C_value)\n", + "\n", + " # SVM을 이용하여 'thing' 및 'property' 예측 모델 학습\n", + " svm_model_thing.fit(train_all_bow_matrix, train_all_csv['thing'])\n", + " svm_model_property.fit(train_all_bow_matrix, train_all_csv['property'])\n", + "\n", + " # 'thing' 및 'property' 예측\n", + " predicted_things = svm_model_thing.predict(test_bow_matrix)\n", + " predicted_properties = svm_model_property.predict(test_bow_matrix)\n", + " \n", + " predicted_scores_thing = svm_model_thing.predict_proba(test_bow_matrix)[:, 1] # 'thing'의 예측 확률 점수\n", + " predicted_scores_property = svm_model_property.predict_proba(test_bow_matrix)[:, 1] # 'property'의 예측 확률 점수\n", + "\n", + " predicted_scores = (predicted_scores_thing + predicted_scores_property) / 2 # 평균 점수로 결합\n", + "\n", + " test_csv['c_thing'] = predicted_things\n", + " test_csv['c_property'] = predicted_properties\n", + " test_csv['c_score'] = predicted_scores\n", + "\n", + " test_csv['cthing_correct'] = test_csv['thing'] == test_csv['c_thing']\n", + " test_csv['cproperty_correct'] = test_csv['property'] == test_csv['c_property']\n", + " test_csv['ctp_correct'] = test_csv['cthing_correct'] & test_csv['cproperty_correct']\n", + "\n", + " mdm_true_count = len(test_csv[test_csv['MDM'] == True])\n", + " accuracy = (test_csv['ctp_correct'].sum() / mdm_true_count) * 100 if mdm_true_count > 0 else 0\n", + " return accuracy\n", + "\n", + "# C 값들에 대해 실험할 값 설정 (log 스케일)\n", + "C_values = [0.01, 0.1, 1, 10, 100]\n", + "C_values = [1000, 10000, 100000, 1000000]\n", + "# 각 C 값에 대해 실험\n", + "for C_value in C_values:\n", + " print(f\"Running SVM with C={C_value}\")\n", + " average_accuracies[C_value] = []\n", + "\n", + " # Parallel processing for groups\n", + " results = Parallel(n_jobs=-1)(delayed(process_group)(C_value, group_number) for group_number in range(1, 6))\n", + "\n", + " # Filter out None results (in case of missing files)\n", + " accuracies = [result for result in results if result is not None]\n", + "\n", + " if accuracies:\n", + " average_accuracy = sum(accuracies) / len(accuracies)\n", + " average_accuracies[C_value].append(average_accuracy)\n", + " print(f\"Average Accuracy (MDM=True) across all groups with C={C_value}: {average_accuracy:.2f}%\")\n", + "\n", + "# Print overall results for all C values\n", + "print(\"\\nFinal Results for each C value:\")\n", + "for C_value, accuracies in average_accuracies.items():\n", + " avg_acc = np.mean(accuracies)\n", + " print(f\"C={C_value}, Average Accuracy: {avg_acc:.2f}%\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_svm_tfidf.ipynb b/post_process/tfidf_class/2a.classifier_svm_tfidf.ipynb new file mode 100644 index 0000000..797e9e0 --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_svm_tfidf.ipynb @@ -0,0 +1,147 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running SVM with C=1000\n", + "Average Accuracy (MDM=True) across all groups with C=1000: 89.87%\n", + "Running SVM with C=10000\n", + "Average Accuracy (MDM=True) across all groups with C=10000: 89.33%\n", + "Running SVM with C=100000\n", + "Average Accuracy (MDM=True) across all groups with C=100000: 89.18%\n", + "Running SVM with C=1000000\n", + "Average Accuracy (MDM=True) across all groups with C=1000000: 89.18%\n", + "\n", + "Final Results for each C value:\n", + "C=1000, Average Accuracy: 89.87%\n", + "C=10000, Average Accuracy: 89.33%\n", + "C=100000, Average Accuracy: 89.18%\n", + "C=1000000, Average Accuracy: 89.18%\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVC\n", + "import os\n", + "import numpy as np\n", + "from joblib import Parallel, delayed\n", + "\n", + "# Initialize variables to store overall accuracy results\n", + "average_accuracies = {}\n", + "\n", + "# Function to process each group (parallelized later)\n", + "def process_group(C_value, group_number):\n", + " train_all_path = f'../../data_preprocess/dataset/{group_number}/train_all.csv'\n", + " test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "\n", + " if not os.path.exists(test_path):\n", + " print(f\"Test file for Group {group_number} does not exist. Skipping...\")\n", + " return None\n", + "\n", + " # Load the train_all and test CSVs\n", + " train_all_csv = pd.read_csv(train_all_path, low_memory=False)\n", + " test_csv = pd.read_csv(test_path, low_memory=False)\n", + "\n", + " train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('')\n", + " test_csv['tag_description'] = test_csv['tag_description'].fillna('')\n", + "\n", + " test_csv['c_thing'] = ''\n", + " test_csv['c_property'] = ''\n", + " test_csv['c_score'] = ''\n", + " test_csv['c_duplicate'] = 0\n", + "\n", + " combined_tag_descriptions = train_all_csv['tag_description'].tolist()\n", + "\n", + " # TF-IDF 벡터화\n", + " vectorizer = TfidfVectorizer(token_pattern=r'\\S+')\n", + " vectorizer.fit(combined_tag_descriptions)\n", + "\n", + " train_all_tfidf_matrix = vectorizer.transform(train_all_csv['tag_description']).toarray() # TF-IDF로 변환\n", + " test_tfidf_matrix = vectorizer.transform(test_csv['tag_description']).toarray()\n", + "\n", + " # SVM 모델 학습 및 예측\n", + " svm_model_thing = SVC(kernel='linear', probability=True, C=C_value)\n", + " svm_model_property = SVC(kernel='linear', probability=True, C=C_value)\n", + "\n", + " # SVM을 이용하여 'thing' 및 'property' 예측 모델 학습\n", + " svm_model_thing.fit(train_all_tfidf_matrix, train_all_csv['thing'])\n", + " svm_model_property.fit(train_all_tfidf_matrix, train_all_csv['property'])\n", + "\n", + " # 'thing' 및 'property' 예측\n", + " predicted_things = svm_model_thing.predict(test_tfidf_matrix)\n", + " predicted_properties = svm_model_property.predict(test_tfidf_matrix)\n", + " \n", + " predicted_scores_thing = svm_model_thing.predict_proba(test_tfidf_matrix)[:, 1] # 'thing'의 예측 확률 점수\n", + " predicted_scores_property = svm_model_property.predict_proba(test_tfidf_matrix)[:, 1] # 'property'의 예측 확률 점수\n", + "\n", + " predicted_scores = (predicted_scores_thing + predicted_scores_property) / 2 # 평균 점수로 결합\n", + "\n", + " test_csv['c_thing'] = predicted_things\n", + " test_csv['c_property'] = predicted_properties\n", + " test_csv['c_score'] = predicted_scores\n", + "\n", + " test_csv['cthing_correct'] = test_csv['thing'] == test_csv['c_thing']\n", + " test_csv['cproperty_correct'] = test_csv['property'] == test_csv['c_property']\n", + " test_csv['ctp_correct'] = test_csv['cthing_correct'] & test_csv['cproperty_correct']\n", + "\n", + " mdm_true_count = len(test_csv[test_csv['MDM'] == True])\n", + " accuracy = (test_csv['ctp_correct'].sum() / mdm_true_count) * 100 if mdm_true_count > 0 else 0\n", + " return accuracy\n", + "\n", + "# C 값들에 대해 실험할 값 설정 (log 스케일)\n", + "C_values = [0.1, 1, 10, 100]\n", + "C_values = [1000, 10000, 100000, 1000000]\n", + "# 각 C 값에 대해 실험\n", + "for C_value in C_values:\n", + " print(f\"Running SVM with C={C_value}\")\n", + " average_accuracies[C_value] = []\n", + "\n", + " # Parallel processing for groups\n", + " results = Parallel(n_jobs=-1)(delayed(process_group)(C_value, group_number) for group_number in range(1, 6))\n", + "\n", + " # Filter out None results (in case of missing files)\n", + " accuracies = [result for result in results if result is not None]\n", + "\n", + " if accuracies:\n", + " average_accuracy = sum(accuracies) / len(accuracies)\n", + " average_accuracies[C_value].append(average_accuracy)\n", + " print(f\"Average Accuracy (MDM=True) across all groups with C={C_value}: {average_accuracy:.2f}%\")\n", + "\n", + "# Print overall results for all C values\n", + "print(\"\\nFinal Results for each C value:\")\n", + "for C_value, accuracies in average_accuracies.items():\n", + " avg_acc = np.mean(accuracies)\n", + " print(f\"C={C_value}, Average Accuracy: {avg_acc:.2f}%\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2a.classifier_svm_word2vec.ipynb b/post_process/tfidf_class/2a.classifier_svm_word2vec.ipynb new file mode 100644 index 0000000..81a34df --- /dev/null +++ b/post_process/tfidf_class/2a.classifier_svm_word2vec.ipynb @@ -0,0 +1,161 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running SVM with C=10000000\n", + "Average Accuracy (MDM=True) across all groups with C=10000000: 86.77%\n", + "Running SVM with C=100000000\n", + "Average Accuracy (MDM=True) across all groups with C=100000000: 86.64%\n", + "Running SVM with C=1000000000\n", + "Average Accuracy (MDM=True) across all groups with C=1000000000: 86.68%\n", + "Running SVM with C=10000000000\n", + "Average Accuracy (MDM=True) across all groups with C=10000000000: 86.90%\n", + "\n", + "Final Results for each C value:\n", + "C=10000000, Average Accuracy: 86.77%\n", + "C=100000000, Average Accuracy: 86.64%\n", + "C=1000000000, Average Accuracy: 86.68%\n", + "C=10000000000, Average Accuracy: 86.90%\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from gensim.models import Word2Vec\n", + "from sklearn.svm import SVC\n", + "from sklearn.metrics import pairwise_distances\n", + "import os\n", + "import numpy as np\n", + "from joblib import Parallel, delayed\n", + "\n", + "# Function to compute the average Word2Vec vector for a sentence\n", + "def compute_sentence_vector(sentence, model, vector_size):\n", + " words = sentence.split()\n", + " word_vectors = [model.wv[word] for word in words if word in model.wv]\n", + " if len(word_vectors) > 0:\n", + " return np.mean(word_vectors, axis=0)\n", + " else:\n", + " return np.zeros(vector_size)\n", + "\n", + "# Initialize variables to store overall accuracy results\n", + "average_accuracies = {}\n", + "\n", + "# Function to process each group (parallelized later)\n", + "def process_group(C_value, group_number):\n", + " train_all_path = f'../../data_preprocess/dataset/{group_number}/train_all.csv'\n", + " test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "\n", + " if not os.path.exists(test_path):\n", + " print(f\"Test file for Group {group_number} does not exist. Skipping...\")\n", + " return None\n", + "\n", + " # Load the train_all and test CSVs\n", + " train_all_csv = pd.read_csv(train_all_path, low_memory=False)\n", + " test_csv = pd.read_csv(test_path, low_memory=False)\n", + "\n", + " train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('')\n", + " test_csv['tag_description'] = test_csv['tag_description'].fillna('')\n", + "\n", + " test_csv['c_thing'] = ''\n", + " test_csv['c_property'] = ''\n", + " test_csv['c_score'] = ''\n", + " test_csv['c_duplicate'] = 0\n", + "\n", + " combined_tag_descriptions = train_all_csv['tag_description'].tolist() + test_csv['tag_description'].tolist()\n", + " sentences = [desc.split() for desc in combined_tag_descriptions]\n", + " \n", + " vector_size = 200 # 벡터 크기 설정\n", + " model = Word2Vec(sentences, vector_size=vector_size, window=3, min_count=1, workers=-1)\n", + "\n", + " # Train data vectors\n", + " train_all_vectors = np.array([compute_sentence_vector(desc, model, vector_size) for desc in train_all_csv['tag_description']])\n", + " # Test data vectors\n", + " test_vectors = np.array([compute_sentence_vector(desc, model, vector_size) for desc in test_csv['tag_description']])\n", + "\n", + " # SVM 모델 학습 및 예측\n", + " svm_model_thing = SVC(kernel='linear', probability=True, C=C_value)\n", + " svm_model_property = SVC(kernel='linear', probability=True, C=C_value)\n", + "\n", + " # SVM을 이용하여 'thing' 및 'property' 예측 모델 학습\n", + " svm_model_thing.fit(train_all_vectors, train_all_csv['thing'])\n", + " svm_model_property.fit(train_all_vectors, train_all_csv['property'])\n", + "\n", + " # 'thing' 및 'property' 예측\n", + " predicted_things = svm_model_thing.predict(test_vectors)\n", + " predicted_properties = svm_model_property.predict(test_vectors)\n", + " \n", + " predicted_scores_thing = svm_model_thing.predict_proba(test_vectors)[:, 1] # 'thing'의 예측 확률 점수\n", + " predicted_scores_property = svm_model_property.predict_proba(test_vectors)[:, 1] # 'property'의 예측 확률 점수\n", + "\n", + " predicted_scores = (predicted_scores_thing + predicted_scores_property) / 2 # 평균 점수로 결합\n", + "\n", + " test_csv['c_thing'] = predicted_things\n", + " test_csv['c_property'] = predicted_properties\n", + " test_csv['c_score'] = predicted_scores\n", + "\n", + " test_csv['cthing_correct'] = test_csv['thing'] == test_csv['c_thing']\n", + " test_csv['cproperty_correct'] = test_csv['property'] == test_csv['c_property']\n", + " test_csv['ctp_correct'] = test_csv['cthing_correct'] & test_csv['cproperty_correct']\n", + "\n", + " mdm_true_count = len(test_csv[test_csv['MDM'] == True])\n", + " accuracy = (test_csv['ctp_correct'].sum() / mdm_true_count) * 100 if mdm_true_count > 0 else 0\n", + " return accuracy\n", + "\n", + "# C 값들에 대해 실험할 값 설정 (log 스케일)\n", + "C_values = [0.1, 1, 10, 100]\n", + "C_values = [1000, 10000, 100000, 1000000]\n", + "C_values = [10000000, 100000000, 1000000000, 10000000000]\n", + "\n", + "# 각 C 값에 대해 실험\n", + "for C_value in C_values:\n", + " print(f\"Running SVM with C={C_value}\")\n", + " average_accuracies[C_value] = []\n", + "\n", + " # Parallel processing for groups\n", + " results = Parallel(n_jobs=-1)(delayed(process_group)(C_value, group_number) for group_number in range(1, 6))\n", + "\n", + " # Filter out None results (in case of missing files)\n", + " accuracies = [result for result in results if result is not None]\n", + "\n", + " if accuracies:\n", + " average_accuracy = sum(accuracies) / len(accuracies)\n", + " average_accuracies[C_value].append(average_accuracy)\n", + " print(f\"Average Accuracy (MDM=True) across all groups with C={C_value}: {average_accuracy:.2f}%\")\n", + "\n", + "# Print overall results for all C values\n", + "print(\"\\nFinal Results for each C value:\")\n", + "for C_value, accuracies in average_accuracies.items():\n", + " avg_acc = np.mean(accuracies)\n", + " print(f\"C={C_value}, Average Accuracy: {avg_acc:.2f}%\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2y.conbine_classifcation.ipynb b/post_process/tfidf_class/2y.conbine_classifcation.ipynb new file mode 100644 index 0000000..fd00fd2 --- /dev/null +++ b/post_process/tfidf_class/2y.conbine_classifcation.ipynb @@ -0,0 +1,57 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import os\n", + "group_number = 5\n", + "class_model = 'distilbert'\n", + "gen_model = 't5-tiny'\n", + "# 경로 설정\n", + "test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n", + "class_path = f'0.class_document/{class_model}/{group_number}/test_p_c.csv'\n", + "output_path = f'0.class_document/{class_model}/{gen_model}/{group_number}/test_p_c.csv'\n", + "\n", + "# 파일 읽기\n", + "test_df = pd.read_csv(test_path)\n", + "class_df = pd.read_csv(class_path)\n", + "\n", + "# 필요한 필드 선택\n", + "fields_to_copy = ['c_thing', 'c_property', 'c_score', 'cthing_correct', 'cproperty_correct', 'ctp_correct']\n", + "class_df_subset = class_df[fields_to_copy]\n", + "\n", + "# test_path에 필드 복사\n", + "merged_df = pd.concat([test_df, class_df_subset], axis=1)\n", + "\n", + "# 결과 저장\n", + "os.makedirs(os.path.dirname(output_path), exist_ok=True)\n", + "merged_df.to_csv(output_path, index=False)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2z.plot_classfication.ipynb b/post_process/tfidf_class/2z.plot_classfication.ipynb new file mode 100644 index 0000000..ed9e90d --- /dev/null +++ b/post_process/tfidf_class/2z.plot_classfication.ipynb @@ -0,0 +1,147 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# k 값\n", + "k_values = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n", + "\n", + "# BoW, TF-IDF, Word2Vec 실험 결과\n", + "bow_c = np.array([85.1, 85.1, 85.1, 85.76, 85.78, 85.84, 85.75, 85.72, 85.58])\n", + "bow_e = np.array([84.43, 84.43, 84.43, 84.95, 84.88, 85.00, 84.95, 85.00, 84.94])\n", + "bow_j = np.array([85.36, 85.36, 85.36, 86.10, 86.09, 86.16, 86.10, 85.87, 85.78])\n", + "\n", + "tfidf_c = np.array([83.66, 83.66, 83.66, 84.37, 84.37, 84.42, 84.44, 84.38, 84.44])\n", + "tfidf_e = np.array([83.66, 83.66, 83.66, 84.42, 84.33, 84.46, 84.45, 84.45, 84.46])\n", + "\n", + "word2vec_c = np.array([84.43, 84.43, 84.43, 85.03, 85.04, 84.91, 84.93, 84.92, 84.93])\n", + "word2vec_e = np.array([85.69, 86.04, 85.85, 85.88, 85.84, 85.81, 85.84, 85.86, 85.84])\n", + "\n", + "# 그래프 설정\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# 글씨 크기 설정\n", + "plt.rcParams.update({'font.size': 22})\n", + "\n", + "# 도형 크기를 1.5배로 설정\n", + "marker_size = 9 # 기본 크기가 6이므로 1.5배로 설정\n", + "\n", + "# BoW (C, E, J) -> 색상: 파란색, 도형: 원(circle), 사각형(square), 삼각형(triangle_up)\n", + "plt.plot(k_values, bow_c, 'bo--', label='KNN BoW C', markersize=marker_size) # C: 점선\n", + "plt.plot(k_values, bow_e, 'bs-', label='KNN BoW E', markersize=marker_size)\n", + "plt.plot(k_values, bow_j, 'b^-', label='KNN BoW J', markersize=marker_size)\n", + "\n", + "# TF-IDF (C, E) -> 색상: 빨간색, 도형: 원(circle), 사각형(square)\n", + "plt.plot(k_values, tfidf_c, 'ro--', label='KNN TF-IDF C', markersize=marker_size) # C: 점선\n", + "plt.plot(k_values, tfidf_e, 'rs-', label='KNNTF-IDF E', markersize=marker_size)\n", + "\n", + "# Word2Vec (C, E) -> 색상: 녹색, 실선, 도형: 원(circle), 사각형(square)\n", + "plt.plot(k_values, word2vec_c, 'go--', label='KNN Word2Vec C', markersize=marker_size) # C: 점선\n", + "plt.plot(k_values, word2vec_e, 'gs-', label='KNN Word2Vec E', markersize=marker_size) # 실선\n", + "\n", + "# 그래프 꾸미기\n", + "plt.xlabel('K')\n", + "plt.ylabel('Recall')\n", + "plt.legend()\n", + "\n", + "# 그래프 출력\n", + "plt.grid(True)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# 데이터\n", + "C_values = [0.1, 1, 10, 100, 1000, 10000, 100000]\n", + "BoW_scores = [84.74, 89.12, 89.36, 89.36, 89.36, 89.36, 89.36]\n", + "TFIDF_scores = [69.54, 88.67, 90.02, 90.02, 89.87, 89.33, 89.18]\n", + "Word2Vec_scores = [29.1, 51.54, 71.46, 79, 77.62, 87.28, 87.12]\n", + "\n", + "# 플로팅\n", + "plt.figure(figsize=(10, 5)) # 가로 8, 세로 4로 상하 크기를 줄임\n", + "plt.rcParams.update({'font.size': 22})\n", + "\n", + "plt.plot(C_values, BoW_scores, label='SVM BoW', marker='o', color='blue')\n", + "plt.plot(C_values, TFIDF_scores, label='SVM TF-IDF', marker='s', color='red')\n", + "plt.plot(C_values, Word2Vec_scores, label='SVM Word2Vec', marker='^', color='green')\n", + "\n", + "# 로그 스케일로 C 값 표현\n", + "plt.xscale('log')\n", + "\n", + "# y축 범위 설정\n", + "plt.ylim(67, 93)\n", + "\n", + "# 제목과 레이블\n", + "\n", + "plt.xlabel('C')\n", + "plt.ylabel('Recall')\n", + "\n", + "# 범례와 그리드\n", + "plt.legend()\n", + "plt.grid(True)\n", + "\n", + "# 글자 크기 설정\n", + "plt.xticks()\n", + "plt.yticks()\n", + "\n", + "# 그래프 출력\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2z.plot_classfication_bert.ipynb b/post_process/tfidf_class/2z.plot_classfication_bert.ipynb new file mode 100644 index 0000000..65f9f95 --- /dev/null +++ b/post_process/tfidf_class/2z.plot_classfication_bert.ipynb @@ -0,0 +1,101 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as mpatches\n", + "\n", + "folds = ['Fold 1', 'Fold 2', 'Fold 3', 'Fold 4', 'Fold 5']\n", + "TinyBert = [91.29, 88.32, 93.57, 94.24, 91.71]\n", + "Albert = [86.46, 88.5, 94.33, 94.53, 86.49]\n", + "DistilBert = [92.19, 90.19, 95.28, 95.67, 91.98]\n", + "Bert = [92.19, 89.95, 95.13, 95.1, 91.66]\n", + "\n", + "data = np.array([TinyBert, Albert, DistilBert, Bert])\n", + "max_indices = np.argmax(data, axis=0)\n", + "\n", + "x = np.arange(len(folds))\n", + "width = 0.2\n", + "colors = plt.cm.Spectral(np.linspace(0, 1, 4))\n", + "\n", + "fig, ax = plt.subplots(figsize=(12,7))\n", + "\n", + "labels = ['TinyBert', 'Albert', 'DistilBert', 'Bert']\n", + "rects = []\n", + "for i in range(4):\n", + " rect = ax.bar(x + (i - 1.5)*width, data[i], width, label=labels[i], color=colors[i], edgecolor='black', linewidth=1.5, zorder=3)\n", + " rects.append(rect)\n", + "\n", + "for fold in range(len(folds)):\n", + " max_idx = max_indices[fold]\n", + " rects[max_idx].patches[fold].set_hatch('//')\n", + "\n", + "TinyBert_mean = np.mean(TinyBert)\n", + "Albert_mean = np.mean(Albert)\n", + "DistilBert_mean = np.mean(DistilBert)\n", + "Bert_mean = np.mean(Bert)\n", + "\n", + "ax.axhline(y=TinyBert_mean, color=colors[0], linestyle='--', label='TinyBert Mean', zorder=2)\n", + "ax.axhline(y=Albert_mean, color=colors[1], linestyle='--', zorder=2)\n", + "ax.axhline(y=DistilBert_mean, color=colors[2], linestyle='--', zorder=2)\n", + "ax.axhline(y=Bert_mean, color=colors[3], linestyle='--', label='Bert Mean', zorder=2)\n", + "\n", + "max_mean = max(TinyBert_mean, Albert_mean, DistilBert_mean, Bert_mean)\n", + "min_mean = min(TinyBert_mean, Albert_mean, DistilBert_mean, Bert_mean)\n", + "\n", + "ax.text(x[1], max_mean + 0.5, f'Max: {max_mean:.2f}%', ha='center', fontsize=20, color='black', zorder=3)\n", + "ax.text(x[1], min_mean + 0.5, f'Min: {min_mean:.2f}%', ha='center', fontsize=20, color='black', zorder=3)\n", + "\n", + "ax.set_ylim([85, 100])\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(folds, fontsize=20)\n", + "ax.grid(True, which='both', linestyle='--', linewidth=0.7, alpha=0.7, zorder=1)\n", + "ax.tick_params(axis='both', which='major', labelsize=20)\n", + "\n", + "hatch_patch = mpatches.Patch(facecolor='white', edgecolor='black', hatch='//', label='BEST')\n", + "legend_handles, legend_labels = ax.get_legend_handles_labels()\n", + "legend = ax.legend(handles=[hatch_patch] + legend_handles, fontsize=20, loc='upper right')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2z.plot_cluster.ipynb b/post_process/tfidf_class/2z.plot_cluster.ipynb new file mode 100644 index 0000000..548b6f5 --- /dev/null +++ b/post_process/tfidf_class/2z.plot_cluster.ipynb @@ -0,0 +1,207 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "train_all_path = '../../data_preprocess/dataset/1/train_all.csv'\n", + "test_path = '../../translation/0.result/1/test_p.csv'\n", + "\n", + "train_df = pd.read_csv(train_all_path)\n", + "test_df = pd.read_csv(test_path)\n", + "\n", + "data = pd.concat([train_df, test_df], ignore_index=True)\n", + "data = data[data['MDM'] == True]\n", + "\n", + "vectorizer = TfidfVectorizer(token_pattern=r'\\S+')\n", + "tfidf_matrix = vectorizer.fit_transform(data['tag_description'])\n", + "\n", + "grouped_data = data.groupby(['thing', 'property']).agg(\n", + " tp_count=('thing', 'size'), pattern=('pattern', 'first')).reset_index()\n", + "\n", + "result = grouped_data.loc[grouped_data.groupby('pattern')['tp_count'].idxmax()].reset_index(drop=True)\n", + "\n", + "top_n = 20\n", + "top_n_patterns = result.nlargest(top_n, 'tp_count')\n", + "\n", + "filtered_data = data[data['pattern'].isin(top_n_patterns['pattern'])]\n", + "filtered_data.to_csv('filtered_data_plot.csv', index=False)\n", + "filtered_tfidf_matrix = vectorizer.transform(filtered_data['tag_description'])\n", + "\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "tsne_results = tsne.fit_transform(filtered_tfidf_matrix.toarray())\n", + "\n", + "unique_patterns = filtered_data['pattern'].unique()\n", + "color_map = plt.get_cmap('tab20', len(unique_patterns))\n", + "pattern_to_color = {pattern: idx for idx, pattern in enumerate(unique_patterns)}\n", + "\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "for pattern, color_idx in pattern_to_color.items():\n", + " pattern_indices = filtered_data['pattern'] == pattern\n", + " plt.scatter(tsne_results[pattern_indices, 0], tsne_results[pattern_indices, 1], \n", + " color=color_map(color_idx), marker='o', s=100, alpha=0.6, edgecolor='k', linewidth=1.2)\n", + "\n", + "plt.xticks(fontsize=24)\n", + "plt.yticks(fontsize=24)\n", + "plt.grid(True, which='both', linestyle='--', linewidth=0.5, alpha=0.6)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# 'filtered_data_plot.csv' 파일을 읽기\n", + "filtered_data = pd.read_csv('filtered_data_plot.csv')\n", + "\n", + "# BoW로 벡터화 (token_pattern=r'\\S+'로 설정하여 모든 non-whitespace를 토큰으로 사용)\n", + "vectorizer = CountVectorizer(token_pattern=r'\\S+')\n", + "bow_matrix = vectorizer.fit_transform(filtered_data['tag_description'])\n", + "\n", + "# t-SNE 차원 축소\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "tsne_results = tsne.fit_transform(bow_matrix.toarray())\n", + "\n", + "# 시각화를 위한 준비\n", + "unique_patterns = filtered_data['pattern'].unique()\n", + "color_map = plt.get_cmap('tab20', len(unique_patterns))\n", + "pattern_to_color = {pattern: idx for idx, pattern in enumerate(unique_patterns)}\n", + "\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "# 각 패턴별로 시각화\n", + "for pattern, color_idx in pattern_to_color.items():\n", + " pattern_indices = filtered_data['pattern'] == pattern\n", + " plt.scatter(tsne_results[pattern_indices, 0], tsne_results[pattern_indices, 1], \n", + " color=color_map(color_idx), marker='o', s=100, alpha=0.6, edgecolor='k', linewidth=1.2)\n", + "\n", + "# 그래프 설정\n", + "plt.xticks(fontsize=24)\n", + "plt.yticks(fontsize=24)\n", + "plt.grid(True, which='both', linestyle='--', linewidth=0.5, alpha=0.6)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from gensim.models import Word2Vec\n", + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "def compute_sentence_vector(sentence, model, vector_size):\n", + " words = sentence.split()\n", + " word_vectors = [model.wv[word] for word in words if word in model.wv]\n", + " return np.mean(word_vectors, axis=0) if word_vectors else np.zeros(vector_size)\n", + "\n", + "filtered_data = pd.read_csv('filtered_data_plot.csv')\n", + "\n", + "sentences = [desc.split() for desc in filtered_data['tag_description'].tolist()]\n", + "\n", + "vector_size = 200\n", + "window_size = 3\n", + "model = Word2Vec(sentences, vector_size=vector_size, window=window_size, min_count=1, workers=4)\n", + "\n", + "sentence_vectors = np.array([compute_sentence_vector(desc, model, vector_size) for desc in filtered_data['tag_description']])\n", + "\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "tsne_results = tsne.fit_transform(sentence_vectors)\n", + "\n", + "unique_patterns = filtered_data['pattern'].unique()\n", + "color_map = plt.get_cmap('tab20', len(unique_patterns))\n", + "pattern_to_color = {pattern: idx for idx, pattern in enumerate(unique_patterns)}\n", + "\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "for pattern, color_idx in pattern_to_color.items():\n", + " pattern_indices = filtered_data['pattern'] == pattern\n", + " plt.scatter(tsne_results[pattern_indices, 0], tsne_results[pattern_indices, 1], \n", + " color=color_map(color_idx), marker='o', s=100, alpha=0.6, edgecolor='k', linewidth=1.2)\n", + "\n", + "plt.xticks(fontsize=24)\n", + "plt.yticks(fontsize=24)\n", + "plt.grid(True, which='both', linestyle='--', linewidth=0.5, alpha=0.6)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/2z.plot_distribution.ipynb b/post_process/tfidf_class/2z.plot_distribution.ipynb new file mode 100644 index 0000000..fcffd0e --- /dev/null +++ b/post_process/tfidf_class/2z.plot_distribution.ipynb @@ -0,0 +1,268 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "\n", + "# 그룹 번호 리스트 설정 (1부터 5까지)\n", + "group_numbers = range(1, 6)\n", + "\n", + "# 빈 데이터프레임 생성\n", + "combined_data = pd.DataFrame()\n", + "\n", + "# 그룹별 CSV 파일 읽고 데이터 합치기\n", + "for group_number in group_numbers:\n", + " file_path = f'0.class_document/knn_tfidf/{group_number}/test_p_c.csv'\n", + " data = pd.read_csv(file_path)\n", + " combined_data = pd.concat([combined_data, data], ignore_index=True)\n", + "\n", + "# p_MDM이 True인 항목 필터링\n", + "filtered_data = combined_data\n", + "\n", + "# ctp_correct가 True인 경우와 False인 경우의 c_score 추출\n", + "correct_scores = filtered_data[filtered_data['ctp_correct'] == True]['c_score']\n", + "incorrect_scores = filtered_data[filtered_data['ctp_correct'] == False]['c_score']\n", + "\n", + "# 시각화 스타일 설정\n", + "sns.set(style=\"whitegrid\")\n", + "\n", + "# 0.0에서 1.0까지 0.2 간격으로 bin을 설정\n", + "bins = np.arange(0, 1.1, 0.05)\n", + "\n", + "# 플롯 크기 설정\n", + "plt.figure(figsize=(12, 4))\n", + "\n", + "# alpha 값을 낮추고, 두 분포가 겹치도록 설정\n", + "# Correct: 초록색, Incorrect: 빨간색, 테두리 추가\n", + "sns.histplot(correct_scores, bins=bins, kde=False, color='green', alpha=0.5, label='Correct', edgecolor='black')\n", + "sns.histplot(incorrect_scores, bins=bins, kde=False, color='red', alpha=0.5, label='Incorrect', edgecolor='black')\n", + "\n", + "# 그래프 꾸미기\n", + "plt.xlabel('Score', fontsize=18)\n", + "plt.ylabel('Frequency', fontsize=18)\n", + "plt.xticks(fontsize=16)\n", + "plt.yticks(fontsize=16)\n", + "\n", + "# 범례 폰트 크기를 키우고 위치 설정\n", + "plt.legend(fontsize=20, loc='upper left')\n", + "\n", + "# 레이아웃 조정 및 출력\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "\n", + "# 그룹 번호 리스트 설정 (1부터 5까지)\n", + "group_numbers = range(1, 6)\n", + "\n", + "# 빈 데이터프레임 생성\n", + "combined_data = pd.DataFrame()\n", + "\n", + "# 그룹별 CSV 파일 읽고 데이터 합치기\n", + "for group_number in group_numbers:\n", + " file_path = f'0.class_document/distilbert/{group_number}/test_p_c.csv'\n", + " data = pd.read_csv(file_path)\n", + " combined_data = pd.concat([combined_data, data], ignore_index=True)\n", + "\n", + "# p_MDM이 True인 항목 필터링\n", + "filtered_data = combined_data\n", + "\n", + "# ctp_correct가 True인 경우와 False인 경우의 c_score 추출\n", + "correct_scores = filtered_data[filtered_data['ctp_correct'] == True]['c_score']\n", + "incorrect_scores = filtered_data[filtered_data['ctp_correct'] == False]['c_score']\n", + "\n", + "# 시각화 스타일 설정\n", + "sns.set(style=\"whitegrid\")\n", + "\n", + "# 0.0에서 1.0까지 0.2 간격으로 bin을 설정\n", + "bins = np.arange(0, 1.1, 0.05)\n", + "\n", + "# 플롯 크기 설정\n", + "plt.figure(figsize=(12, 4))\n", + "\n", + "# alpha 값을 낮추고, 두 분포가 겹치도록 설정\n", + "# Correct: 초록색, Incorrect: 빨간색, 테두리 추가\n", + "sns.histplot(correct_scores, bins=bins, kde=False, color='green', alpha=0.5, label='Correct', edgecolor='black')\n", + "sns.histplot(incorrect_scores, bins=bins, kde=False, color='red', alpha=0.5, label='Incorrect', edgecolor='black')\n", + "\n", + "# 그래프 꾸미기\n", + "plt.xlabel('Score', fontsize=18)\n", + "plt.ylabel('Frequency', fontsize=18)\n", + "plt.xticks(fontsize=16)\n", + "plt.yticks(fontsize=16)\n", + "\n", + "# 범례 폰트 크기를 키우고 위치 설정\n", + "plt.legend(fontsize=20, loc='upper left')\n", + "\n", + "# 레이아웃 조정 및 출력\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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eeeYZPf74400CwZYUFhbq5ptv1qFDh9rdbkfaVlZW6he/+IU2bdrU5HGv19twlunKlSv16KOP6uyzz26xj/Lycv3yl7/Uxo0bmy07dOiQDh06pLfffluSCJQAAECXpKen68orr9Tzzz8vt9utDz/8sGH+q+6yatWqhp+nTZsWlonsP/jgA82bN081NTVNHq8/hnrllVd04403av78+YqJiWmzr2effVZ/+tOf5Pf7293uc889p3vuuafNths3btStt96qioqKJo+XlJRo3bp1WrduncaOHas///nPrd6lcMOGDfrP//xPlZeXN3nc5/Np9+7d2r17t1asWEGgFAEiJoCqP5tg1qxZTT7Mpaena8GCBbrxxhu1YsUKzZkzRykpKe32d8455+icc85p+P99+/aFv2j0aOeff74++OADSdLmzZs7FUDddtttOnbsmGw2m6699lpdfPHFyszMVDAY1JEjR/Tpp59q7dq1Tdb55S9/qZtvvll33nmnduzY0eIkkaFMhNhV+/fv13vvvSdJOvvssxvO2DLTl19+2fBzd0x8+W2NL6EbO3ZsyP0FAgHNnj1b27ZtkySNGjVK06ZNU25uro4dO6YXXnhBa9eubQg2X3rppTZvM/yLX/xCx44d0/Tp0zVu3Dilpqbqq6++ajE8bK+t1+vVj3/8Y+3cuVOxsbGaNGmSxo4dq/79+8vn82nz5s36xz/+IYfDoVmzZjXciaQxl8ulm266SZ9//rkkafjw4Zo6daoGDx6suLg4HTlyRJ988oneeOONhnXqJ1MtKCjQb3/7W0lNJ6avl52d3YU9DgAAeqrzzz9fzz//vKTjx/DdHUB9/PHHDT9/73vfC7m/3bt3a/bs2fL5fLLZbLrxxhs1btw4JSYmavfu3Vq6dKmKior0zDPPKDExUbfddlurfRUUFOiVV15Rdna2/t//+38aMWKE/H6/tmzZ0qztzp079cYbb7TZdsuWLZo5c6Z8Pp8yMzM1bdo0DR06VH369NGxY8f0xhtv6JVXXtH69et1xx136OGHH262nU2bNmnmzJny+/2KjY3VD3/4Q1166aXKycmRx+PR/v379e9//7vJnQRvuOEGXXbZZXrooYf0zjvvqE+fPvr73/8e4p5GOEREAHX06FEVFBRIkiZNmtRs+ejRo5WTk6Pi4mKtX7++xTZAuDUOQgsLCzu83sGDB7Vz505Jxy+r+/YZTmeeeaZ+8IMf6Lbbbmtym+G+ffuqb9++DZdyhXvC7LY4HA59/vnnTe6CV1tbq23btunpp5+W2+1WSkpKhy5rraqqagga2tK/f/8u3SK3uLi44Y4lqampOv/88zvdR6j27NnT8POIESNC7u+5555rCJ9++MMf6g9/+IMSExMbvjEbN26c/vznP2vJkiX6+uuv9eijj7Z5cLFv3z49/vjjuvDCC9uts722f/3rX7Vz506lpqbqH//4R7N+Ro8ercmTJ2vq1KkqKSnRgw8+qAceeKBJm4ceeqjhd+LGG2/U73//+yanYY8YMULjx4/Xr371q4bXRP1kqo2/Cfv2xPQAAMBYR48ebfO4Ljs7W6mpqd1YUfs6cwzf3jFrV4476vvs27dvWL64/f3vfy+fz6fY2FgtWbKkyTHbmWeeqQkTJuiGG27QF198oSeffFJXXXWVBg8e3GJfX3zxhU4//XQ988wzTcat/tK2xr788ss22/p8Pt12223y+Xy66KKL9PDDDysx8ZubB9RPr3Duuefq97//vd5++219+OGH+u53v9vQxuPx6LbbbpPf71diYqIee+wxnXfeeU3qyMvL07XXXttk2o2MjAxlZGQ01NXRSfhhvIgIoHbt2iVJ6tWrlwYMGNBimxEjRqi4uFi7du0igEK36NWrV8PPjYOi9pSUlDT83Na12BaLpUNz5nSHZ599Vs8++2yLy2JiYvSjH/1I+fn5OuWUU9rt65133tE777zTbrtly5Y1e4NpTV1dnY4cOaItW7bowQcflNPplHR8Use2zgQySuNTjMMxr8AzzzzT0Nf8+fNbvEb+5z//ud5++219+eWX+te//qV58+a1Oh/U1Vdf3eTgpC1tta2trW2obd68ea2GWP369dOcOXO0cOFCvfXWW7r77rsbwsWqqqqGbyGHDx+u3/3ud63OARAXF3dCnGEHAACOe+ihh/TQQw+1uvxEnIuxM8fw7Z0d1dlLvmpqauTz+SQdD0lCtX379oYTNa699toWj9nS0tL0xz/+UTfccIPq6uq0cuXKNqeeWbBgQYdDw/nz57fa9vXXX9ehQ4cUHx+v//7v/24SPjV23XXX6V//+pe2b9+uVatWNQmgXnrppYYpS375y1+2+dkgJyenQzXDXG1fAHqCKCoqktT2L1X9ZRb1bQGjNT47p7a2tsPrNb6tbuNJxSNVXV2d3njjDT377LPdOgH5TTfdpCFDhmjIkCE644wzdMkll+jXv/61Dh8+rD59+uhPf/qTafNnNf596MpZXI0dPXpU+/fvlyRdfvnlrQZqVqu14QCvsrKy4Sy7lnTmVPO22n7yySeqrq6WJF122WVt9nPuuedKOv5tWOPaNm3aJJfLJen4mIZjHgQAAIDWdPUYPhwab6+1QKYzNmzY0PDzNddc02q7UaNG6bTTTmu2zrfl5OS0+QV5Y9nZ2W22rZ9o/dxzz233C9n6fj799NMmj9dfVme323Xdddd1qC6c2CLiDKj6F2pbL9L6D2Xd/UekPcFgsOFsjI7yeDyqq6tTIBBQIBBos20gEFBQQQWDx//raYLBoIIKHn+e//f8gsFgu/ulM+rq6pr83NG+G39jkpSU1Op63+7zpJNO0qhRo7RlyxY99dRTev/99/WDH/xA5557rs4666x234w6sx/aatve8268fM6cOZo7d66CwaA8Ho/i4+Pl8Xj09ddf65VXXtGyZcv09NNPq6CgQI8//niz59C4r6uuukr33HNPm3XXa6umtlx00UW64oorOv17Eq7frcYHNjU1NSH12fibtZEjR7Y5po3nP9q7d6/OPPPMhv9vvO8GDx7cZk0dbbt9+/aGnzt6RpV0PFSr77NxGHXOOed0el919fXbVV35OxQIBFRXVyeXy9Xh3+Gucjqd8vp8OlZZKc8JcEdKI/i8XpU7nQqWlcnWyll+neH1eOTrwESrOO7Y/1326vP5On18g/CoD+3r/410EXncG/zm36DCV0fj416j38/aqqG9bTd+L1u0aJGuvvrqNts37q+oqKjV39309PQmZwW19h7f+L24M3XXa+8YvnG/9VfitKaz49T4ju1OpzPkca6/nK/+ErO2+hs5cqT279+vr776Si6Xq8mZ8vXPub0+GrcdNGhQm/u9/oY8H3zwQYt3oGtJaWlpk/52794tSRo2bJji4uK6dGxf/69Zr6n2dOU4MRgMtnvXwBNVRARQkax+Zv7Oslqt8ng87bbzeDwK1gVVF6hTXcDYDzZmqAvUKVh3PPSo3x8d2S+d0fisHb/fL7fb3aH1Gt/BLjk5udX1Wupz0aJF+s1vfqPt27dr//79+tvf/qa//e1vslqtGjlypC6//HJNnjxZ8fHxzfqr/8NUV1fXbq31f3QDgUCzto33o8/na7a8rf1Sv25ubq7mzp2rk046SX/605+0detWPfroo/rZz37W6rZaqqWjGt9hY8GCBQ3X8Hs8Hh08eFAvvPCCtmzZohdeeEFHjx7V4sWLO/XHuSP7tCMa3wihuLhYJ598cpf7Ki0tbfg5OTm5zddB4+06HI4mz6XxvouLi2vzeXa07bfv4thR1dXVDX02fn4pKSmd3v+Nf0+9Xm9Yxq8jOvN3yOPxyO/3N5kc3yhOp1MOn0//arRfe6zKypC78Pn9KtyzRwrz+0pPdqSiQjExMSouLu7S8Q3CpzPzT57oIvW4N9xfKjQ+7u2u97NmNXTgWKj+ErL6nztT65133tnihNbS8ZtNzZ49u8PbaXwM0Jnjy6NHjzb83NKxR+NxDfc4WK1WWa1W+f1+lZaWhtx/WVmZpOOX2fn9/jbvRte7d29Jxz8flJSUNAn76j8zJCUldfjzRWpqapuvW4fD0bEn0Yjb7W6y/fq5PtPT07u0rxqHlma9ptrT1ePE1qbaONFFRABVf3ZTW9/01J/5ZMZ8L22x2WwaNGhQp9bxeDw6fPiw4uPjm6TkLYmPj5clxqKY2BjFxEbEFZWdEhMbI0uMRfHx8Q1n3cTHx4c18W384rVare3u83r1l0VJ0mmnndbqei31mZubq+eee04bN27U2rVr9cknn2j//v3y+/3atm2btm3bpuXLl+uxxx7TwIEDm6xbf+vUmJiYdmut30+xsbHN2jYOt2w2W7PlLe2XxmdANR6DH/3oR3r44YdVWVmpV155Rb/61a9a3VZLtXSU1frNn6xTTjmlyZxDo0aN0g9/+EPNnz9fL774oj744AP985//1IwZMzrcf0f2aUcMGzas4fLKL774IqQ7nDS+s2F7r4PG+/nbv3eN9117fyc72rbx9v/3f/+3w3dh7Nu3b0NtjS+5S0hIaDF0bUvj39O4uLiwjF9bWnsNtMdqtSo3N7fTz68rhgwZcsIeZIWD2+3WwYMHNWDAgJDHu6ysTG8+8YQuSkxUqsG/Oz3FW1u3asPhw8rJydEZZ5xhdjlRyeVyqbCwUAMHDgzLJTxmi8jj3uDxkCImJkYK40kIjY97jX4/a7WGDhwLNX6/b+kYsr3+W/PtY5fWtlP/Xtz4GKAzx5ftHcM3rtGIcRgyZIh27typkpIS1dTUhDS/Zf1xlMViabfWxsdc3/4dqz+m6cixVOPPF20dD9UHeRdddJF+/etft/NMvtHS9rv6+aEz+8dMnT1O3Ldvn8EVGSciAqj6W3Y3ntn+244cOdKk7YnCYrF0eg6YmJgYxcTEKDY2tt35UGJjY2WRRRaLJWJPw2uLxWKRRZbjz/P/np/FYgnrPDGN32Tq93tHbNy4seHnc889t9X12urzwgsvbLh0qby8XBs3btTzzz+vTZs26eDBg/rVr36ll156qck6ndkPbbVt73m3tLz+W4Rv9xcbG6uBAwfqs88+U0lJiaqqqhq+Zfl2X6GMX0fGasGCBfroo490+PBhPfroo5oyZUqTySbbEq7frcYTJP773//WT3/60y731Xg/lpWVtTmm9d+C1a/XeHnjfdfec+xo28bX82dlZTXMxdcZjftwOByt3miiNV19/XZVa6+BtsTGxiomJkaJiYndcvAT6rxjJzqn06nq6uou3ymzMbvdrvS0NA3JyFBmcnKYKuzZdhQWyqLjHwZ7+u/aiS4xMbFHjEEkHvc2XHZnUVjraHzca9aciB15fwvlvXfFihUdbtvadhq/F9frzPvypk2bGn4ePXp0s/Ua92vEOHznO99pmILg/fffb3PupvbUH+NWVFQoGAw2+RLx2+qPEy0WS7PjxK58vmivfa9evXTs2DH5/X4NHTq0Q8/n23r37q0jR46otLS0S2Nh1OfHcOrKcWIkf+6PiFNmhg0bJun4C+vgwYMttqm/xrTxbTUBo3z++ecNAVROTk6rd//qjN69e2vixIl6+umnNW7cOEnHr3uOlFPsG5/ya+Y11omJiZozZ46k45d6PfHEE91ew5AhQxp+JzZv3tzmhODtaXyb3MZzLrWk8fLWbq8bTo3Pfti6dWuX+mj8N3vz5s2dXj+S34ABAED3Kisr02uvvSbp+JcQje+41l0az5m1YsWKkC7lrD/e68i0L/XHiSeffHK3XL5V/xl+x44dXb5RUeM+ujLvHceJJ56ICKCys7MbJtet/4PR2ObNm1VcXKy4uDiNHTu2u8tDlHG73br99tsbrn+++eab2/y2oSvOP//8hp/rr32uV39qZnfeca49Lper4XTmhISEJmftmOGqq67SSSedJElauXKlKioqur2GxnMY3HnnnR2erLeqqqrhriHS8cvV6u9asnr16lZvtBAIBBou+0tLS+uWMP6CCy5ouPxj2bJlXZoQ9rzzzmv4Bn/58uWdDi8bn6p8Ir0mAADAiaWurk533HFHQ5Bx3XXXdfgs+XAaMmRIky+blyxZ0uF1N2/e3OSEjAsuuKDh5xdeeKHV9bZt26Yvvvii2TpGqn+O1dXVWrVqVUh9uFwuPf/8851evz5o4xjxxBERAZT0zYe5pUuXNjmboLy8XAsXLpQkTZs2rckkvGvWrNGECRM6NQcM0JYvvvhCN9xwQ8MdMb7zne/o+uuv71Qfu3fvbvMbimAw2HB7VIvF0uyy0qysLEnSwYMHT5g7Hz788MMNc85ceOGFpp/iarPZ9JOf/ETS8fnhli1b1u01fP/739dVV10l6fgd6fLz83Xo0KE211m/fr2uueaaJpd3StKNN94o6fi3dq3dQfCRRx5pOLC49tpru+WbrdTU1Ibatm3bpnvuuafNb/FKS0v1r3/9q1kfU6dOlXT8jnj33HNPq7/XPp+v2YSW9a8HSfr666+79DwAAEDPdvjwYf3kJz/R+vXrJUmnnnqq5s6da1o9f/zjHxvmflq8eLEWL17cZkjidDr1yCOPKD8/XzU1NQ2Pn3nmmQ1n3f/rX/9qdgwpHQ+A/vCHP0g6filjZz+7dNXVV1+tnJwcSdJ//dd/6ZNPPmmz/ebNm/Xxxx83eezKK69U3759JUkPPfRQs+WN1U/J01j9caLD4Wiy32CeiJgDSpLGjx+v6dOna/ny5Zo6darGjBkju92ujRs3qqqqSnl5eZo3b16Tdaqrq3XgwIFWX8zXXXddw8/118QWFBQ0eXzOnDkhTSCMyOJwOBpuZyodT9srKyu1d+9ebdq0SR9++GHDh+Ozzz5bixcv7vDEy/V2796tO++8UyNHjtQll1yi4cOHKzMzU36/X0VFRVq1apU+/PBDScdT/z59+jRZPy8vT6tWrZLD4dC9996rK6+8siF4tVqthsyDVr9f6urqGiZg9vl8+uqrr/TSSy/p/fffl3T8bJRf/OIXbfZVVVXVZB+3JjY2tuHMn6645ppr9Le//U0lJSVasWKFbr75ZiV38xwvd911lyorK7Vu3Tp99tlnmjBhgi6//HJdeOGF6tevnxISElRaWqpdu3ZpzZo1rV6q96Mf/Uivvvqqtm3b9v/bu/P4mK7/f+CvmeyREIksdrFMLEGEKqq2WmMpqV2VWmuvbz8+ban2Q1vakqJULRViSexrKSIN/YglCUFIiiBIQpA9mUSWub8/8pv5ZEwm++TOJK/n4+HxGPeec+fMOZm5577vuefgyJEjiImJwYQJE9CoUSO8fPkShw4dwtmzZwHkT3CvfASxMixYsAAhISG4efMmdu7cieDgYIwePRotW7aEpaUlUlJSEBUVhUuXLuHvv/+GTCbDqFGjNI4RFBSEe/fuYffu3QgLC8PYsWMhk8lgYmKC58+fIzQ0FCdPnsSnn34KT09PVd569erByckJz58/h7e3N5ycnODs7KwKgtrZ2VV6uxMREVHlerN/mZWVhbS0NERFRSEkJASBgYGq6SKcnZ2xefNmtYELlc3e3h6bNm3CJ598glevXmHjxo04duwYhg4dCnd3d9ja2iInJwfx8fG4cuUKzp49qzbXZ0HfffcdRo0ahZycHEyfPh0TJ05E7969YWFhgcjISGzZskU1amrKlCmQyWSV8hlNTU2xdu1aTJw4EXK5HJMmTYKHhwf69u2LBg0aQKFQ4OXLl7hz5w78/f1x7949LF26FJ07d1Ydw8zMDD/99BOmTp2KzMxMfPzxxxg2bBj69u0LJycnZGdn4+HDh7hw4QL++usv1bQ8Su7u7gDyR7998803mDhxotqTGuVZqZrKxmACUADw1Vdfwd3dHb6+vggLC0Nubi4aNWqE6dOnY/LkyaW+43/z5k2Nbenp6WrbtX3RqWry8/ODn59fkWlsbW0xadIkTJs2rVyP3oWHhyM8PFzr/g4dOuD777/X2O7h4YHNmzfj6dOn8PHxgY+Pj2pf/fr11R7fqiglrZdVq1bBxcWlyHQBAQEICAgo9j2tra3LNCeQkpmZGSZPnoxVq1YhJSUFe/bsKddk4GVhYWGBjRs34rfffsO2bduQkZGBY8eO4dixY1rz9OrVC+PHj1fbZmRkhE2bNmHWrFm4fv06QkJCCr2L1KxZM2zdurVSVwM1NTWFt7c3vvzyS5w9exb//PMPli9frjV9YcEgCwsL+Pj4YP78+QgJCcGdO3ewdOnSEpdh5syZWLZsGWJiYjSCbytXrlQLWBEREVHVU5L+pZWVFUaPHo358+frxQqSbdu2xf79+7F8+XKcP38esbGxRT6OZ2lpialTp2rcoG3VqhU2bdqEBQsWID09Hd7e3vD29tbIP2HCBI2VqnXNzc0Nu3btwqeffopnz57hxIkTOHHihNb0hfUTu3Tpgk2bNuGzzz5DSkoKDh8+XOJH+rp06QI3NzfcuHEDf/zxh8Z0Pnfv3i3dB6JyM6gAFJB/8e3h4VGitJ6enkVeeFSlP7jMhNJPymYIxPxcUqkUNWrUgLW1NerVq4c2bdqgU6dO6NWrV7kebxoyZAjs7Oxw6dIlhIeHIz4+HgkJCcjNzYWdnR1at24NDw8PDB48uNClamvUqIG9e/di8+bNCAoKQlxcXJkm5SsvExMT2NjYoHnz5ujZsyc8PT1Rq1atSi9HUcaNG4etW7ciOTkZO3bswEcffVTpHQ6pVIo5c+Zg3LhxOHnypGqkT1JSEnJyclCrVi00bdoU7u7uGDZsmNZRXzY2NtizZw+OHTuG48eP4+7du0hNTUWNGjUgk8kwcODASnv07k1WVlZYv349QkNDcfToUYSGhuLFixd4/fo1rKys0LBhQ7Rr1w49e/ZUrfr4JltbW+zevRv+/v44ceIEbt68qVr1z8HBAW3atEHfvn0xYMAAjbzjx49HnTp1sG/fPkRGRiIlJUVtUnwiIqpaxO73CoIARZ4CUiNphU5yLPbnqiokEglq1KgBKysrODo6onXr1ujQoQP69eundytH1q9fH5s3b8atW7dw9uxZXL16Fc+ePUNycjJMTExU1wbdu3eHh4eH1lHd3bt3h7+/P3x8fHDhwgU8ffoU2dnZqFOnDjp27IixY8eiU6dOlfzp8rm5ueHs2bM4fPgwAgMDERERgaSkJEilUtja2qJZs2Z466230L9/fzRt2rTQY7z77rs4d+4c/Pz8EBgYiEePHiEtLQ0WFhZo3LgxOnXqhCFDhmjkk0ql2LZtG37//XcEBgbiyZMnyMzM1JtpTKojicDa1xnl6BblBOollZWVhUePHsHZ2bnYpRhfvnyJ8R+PR0JaQpHpDJmdtR18t/vC1tYWWVlZMDc3F32OoeoqLy+PbSAytoG4ylL/pflNp+LJ5XJERkaiVatW5b6QePXqFQ6vWQNPOzvU4aOaJeL33/9i2t69WPPrr5gxY4bYxamWKvI7oA8Msd8rQICgECCRSiBBxa6ypez3FpzjkNSxLyQ+tkHFKUs/8datW5BIJKWOM+gDgxsBRers7e3hu90XqampYhdFZ2rWrAl7e/tSr45FRERERFWHvvR78/LyVHNiVvTFt7LfS0RUFTEAVQXY29vzREVEREREVZ4+9Hs5+oOIqGw0J5ghIiIiIiIiIiKqQAxAERERERERERGRTjEARUREREREREREOsUAFBERERERERER6RQDUEREREREREREpFMMQBERERERERERkU4xAEVERERERERERDrFABQREREREREREekUA1BERERERERERKRTDEAREREREREREZFOMQBFREREREREREQ6xQAUERERERERERHpFANQRERERERERESkUwxAERERERERERGRTjEARUREREREREREOmUsdgGIiIiIxJQsl4tdBL2XlZWF3NxcJKamQgCQnp6OV69eiV2sIpmbm8PKykrsYhAREdH/xwAUERERVUvm5uYwtrPDXwkJQGam2MXRW9nZ2YgIC4MiMxOPX7xADUHAvYAAHE5IELtoRTK2s8PoGTMYhCIiItITDEAR6YiLiwsAYO7cuZg3b54oZejTpw9iY2MxYsQI/PDDD2r7YmJi8N577wEAVq5cCU9PTzGKSEQkGisrK4yeMQNZWVliF0WvJSQkIHvTJnQ3N8fFiAg8ePQI/WvUQA87O7GLplWyXI6/EhKQlZXFABQREZGeYACKqr2rV6/io48+0thuZGQEKysrWFlZoW7dumjTpg06duyI3r17w9TUVISSVi5t9aJkaWkJBwcHtGvXDp6enujatavWtAWDXSX13nvvYePGjWrb1q9fjw0bNmiklUgksLS0hL29Pdq2bYv3338f7777brnevzB3794tcdqCZd25cyfefvvtcr8/EVU85e88Fc3K0hJN7ezwoGZNSABYm5mhjr7XG0e1EalUZF/o8OHD+PLLL0ucp6z9oILvU9jN0tjYWPTr108jn0QigZWVFaytrWFvb482bdqgffv26NevH2rUqFHs+06cOBHBwcElKmP9+vXx119/lShtQcqbxGXNT2SoGICqAtLT06v03Vux5nDIy8tDSkoKUlJSEBsbi9DQUPj4+MDW1hYTJ07EjBkzYGxc+V8h5Umxc+fO2LVrV6W/v5JcLkd0dDSio6Nx/PhxDB8+HCtWrICRkVGll0UQBGRkZCAjIwPR0dE4ceIE+vfvDy8vr2oRLKSKVzCAWJrAIxER6ZY+9Hvz8vKQlZUFc3PzCu/3cO6y8hMEAWlpaUhLS0NcXBxu3rwJX19fLF++HKNGjcKCBQtgaWkpdjHJgBX1lAkVjQEoA5eeno79W7YgV8/nYSgP5RwOFhYWOn+vcePGYfz48ar/y+VypKSk4O7du7hy5QouXbqExMRErFu3DoGBgdi8eTNsbW0LPZY+XLRW1B0VZb0oFAq8fv0apqamSEtLw40bN7Bjxw4kJCTg6NGjcHJywsKFC4s81nvvvYdPP/202PcsrvO1YsUKtG3bFgCgUCjw/PlzhIWFYceOHcjKysLZs2excuVKfPPNN3B0dMSJEye0Hmvo0KEAAFdXV6xcubLYshEREVHl05d+r0KhQG5eHoyNjCCVVuyi4rqau0xXfaFPP/202JFVDRo0KPHxyurN/mVWVhZSU1MRFRWFkJAQnD9/HhkZGdixYwfOnz+PzZs3o0mTJsUet6g6AwATE5NylpyoemEAysBlZWUhNyEBfSwsYFMFI/kF53CojACUnZ0dZDKZxvaePXtixowZiIqKwqJFixAREYFbt25hzpw58PHxqfKjbJT18uYdv86dO6NPnz7w9PTE69evsWvXLsyZM6fI+qhZs2ahdVxaDRo0UDtOy5Yt0atXLwwYMACjRo1Cbm4u9u/fj9mzZ8Pe3r5E72lpaVkhZSMiIqKKpy/9XoVCgZycHJiYmFRoAEqXc5eZmJjopC/k6OioF30nbf3L7t27Y/LkyYiLi8NXX32FoKAgREdHY+bMmdi/fz9q1apV5HH14bMRVSUMQFURNpaW+j8XQ1np0RwOzZs3h5+fH8aNG4eIiAhcv34dvr6+mDx5sthFE03z5s3Rq1cvnDlzBhkZGXj48CFatmwpWnlat24NDw8PHD9+HLm5uQgODsbgwYNFKw8RERFVLLH7vboKQAHQq35vVVKvXj1s3boVs2fPxvnz5xEdHY3169fjq6++ErtoRNUKA1BEpWRubo6ffvoJQ4cOhSAI2LZtGyZMmKAxBLe4VfBSU1OxZ88enD9/Hg8fPoRcLoe1tTVsbW3h7OyMd955B/3790edOnUAAF988QWOHDmiyh8cHKx6D6U3JzKsrOeT69evr3qdnZ2ts/cpqYJ3q549eyZiSbR7c44h5QiykydPIjo6GgDQrFkzDB8+HGPHji12vrHs7GwcOXIEAQEBiIyMRFJSEoyNjVG/fn24ublh4MCB6N69OyQSiUbejIwM7NmzBwEBAXj06BHkcjlsbW3h5uaGESNGoHfv3lrf9805yaKjo7Fz505cvHgR8fHxyMrKQkBAABo0aFCqtEqvX7/GgQMH4O/vj6ioKKSkpMDa2houLi4YPHgwRowYUaF1U9jEqm9+zwDA398fjRo1KvJ9iYiISH8YGRlh5cqV6NOnDzIzM3HgwAHMnj1b63QaYnqzD//w4UN4e3vj0qVLePHiBWrWrIkOHTpg+vTpcHNzK/Z4MTEx8PPzw+XLlxEbG4v09HRYWVmhWbNm6Nq1K4YPH46GDRsWmvfu3bvYvXs3rl69ivj4eEilUtStWxdvv/02Pv74Y639ocJW3D579iwOHDiAyMhIJCYmomPHjti1a1ep0hb0+PFj7NmzB5cvX0ZcXBxycnJgb2+Pt956CxMmTFBN11FRdfPmBPVHjhxRuz4DIPo8vfqOASiiMmjRogXeeecdXLx4ES9evEB4eDjc3d1LnP/BgweYPHkyXrx4obY9KSkJSUlJePDgAc6dOweFQoEPP/ywootf4eLi4lSv69WrJ2JJ8hUMBooxUXxpvXr1CtOmTUNkZKTa9vDwcISHh+PixYvYuHGj1ruskZGRmDt3LmJiYtS25+TkICoqClFRUTh48KBGcAcAIiIiMHPmTI2/xfj4eJw5cwZnzpxB//79sXr1apiZmRX5Oc6dO4dFixZBLpcX+5lLkvaff/7B7NmzERsbq7Y9MTERly9fxuXLl7Fv3z5s2rRJFah9U3nqhoiIiKoWW1tbDBs2DPv27UNWVhaCgoJU81/pK39/fyxatAiZBUbHJSQk4Ny5cwgMDMTq1avh4eGhNf+2bduwZs0a5OTkqG1PTk7GtWvXcO3aNQQHBxcaNNm8eTPWrl0LhUKhtv3Bgwd48OABDh48iG+//RbDhw8v8jMIgoB///vfOHbsWLGft6RptX2umJgYxMTE4OjRo5g1axYWLFhQ6mOUpG6obPT/yoxIT3Xt2hUXL14EAISGhpYqALVo0SK8ePECJiYmGDVqFHr06IE6depAEAQ8f/4cN27cwLlz59TyLFy4EFOmTMGXX36J27dvFzpJpBgTIT548ADnz58HALi5uWkNBFSmhw8fql4bQlBh7ty5iIqKwsSJE9GnTx/UqlULjx49wsaNG/HgwQMEBgZi//79GDt2rEbeBw8eYPz48apATr9+/eDh4YGGDRtCoVDg0aNHCAoK0vh7AvKDTJMnT0ZKSgokEglGjBiBwYMHw8bGBlFRUdi+fTv++ecfnD17Fl988QXWrFmj9TPExcVh0aJFMDc3x6xZs9CpUycYGRkhPDxcY6WZkqR9/PgxPvzwQ6SlpcHKygoTJkxAu3bt4OTkhOTkZPz111/Yt28fwsPDMXv2bOzZs0fj778sddO3b1+4urrC19cXfn5+ANQnIFVOxO/g4FBkmxIREZF+6tq1K/bt2wcgvw+vzwGoe/fu4dSpU7C3t8eUKVPg6uoKQRBw8eJFbNmyBa9fv8bSpUvRpUuXQkdy/frrr/jll18A5M+TNX78eLz99tuwsbFBamoqIiIicPbs2ULfe8+ePfj5558B5Afupk+fDnd3d+Tl5SEoKAje3t7IzMzEF198gdq1a6Nnz55aP4ePjw/u3r2LTp06Ydy4cWjSpAnS0tI0bhCWNO3vv/+OVatWAcgfqa5MZ21tjUePHmHPnj0ICwvDxo0bUbt2bXz00UcVUjcrVqxAZmYmpk6dihcvXhS6uFJlzFtsyBiAIiqjNm3aqF4rH5kqiadPn+LOnTsA8h+re3OEU7t27dC/f38sWrQIqampqu2Ojo5wdHRUXaBX5oTZCQkJuHfvntoqeBkZGQgLC4OPjw+ysrJgbW2t8ehSYVJTU3Hv3r1i0zVo0KBMS+Q+e/ZMFTCoWbMmunbtWupjVLbbt29j27ZtePvtt1Xb2rRpg+7du2Pw4MF49eoVfH19Cw1AKUcRSaVSrF69WmO+q/bt22P48OFISkrSOCF+//33SElJAQB8++23GDVqlGqfq6srPDw8MG3aNFy9ehWnTp3C8OHDtXYuYmJi4ODggH379qmNgmvfvn2Z0n7++edIS0tD69atsW3bNo1OVffu3dGrVy/MnDkTN2/exJEjRzB69Ohy103NmjVRs2ZN2NnZqdIV/J4pJ+LnqjdERET5N7OK6tc5OTmhZs2alVii4pWmD19cn1XXffE7d+6gTZs22Llzp9rE9G5ubmjUqBEWLVqE9PR0HD9+XGNO2oiICNV0D02aNIGPjw+cnJzU0nTp0gVTpkzRmLIiMTFRFeBxcHDA/v37UbduXbX3f+eddzB16lRkZmZi6dKlCAgI0No/unv3LoYPH44ffvih0OkgSpM2KioKa9euBZB/E3fu3Llq6VxdXTF48GB8/vnnOH78ONasWYP3339fbcL5staN8lE85eesqMWVqhMGoIjKyMbGRvW6YKCoOC9fvlS97tSpk9Z0Eomk2JU5Koufn59qNMibpFIpxo4di8mTJ8PZ2bnYYwUEBCAgIKDYdDt37lQLyBRFoVDg+fPnuHbtGn7++WfViJcFCxagRo0aJTqGmD788MNCP6uNjQ08PT2xZcsW3Lt3D2lpaWpBuYsXL6qCmRMnTixysvXatWur/T8+Pl418ufdd99VCz4pmZqaYsWKFRgwYAByc3OxZ8+eIu9uffbZZyV+BLOotKGhoQgLCwMA/PDDD1rnZujRowcGDBiAP//8E4cPH1YLQJWnboiIiKhk1q5dqwoGFEY5n48+KU0fvrjRUXfv3q2IIhVpxYoVha6KOHToUKxatQovXrxAaGioRgBq27ZtUCgUkEgkWLNmjUaApaCCwSUAOHTokOqRvy+//FJjP5C/AvX06dPxyy+/qPqVgwYNKvT4NWvWxNKlS4sNPpUkrbe3N3JycuDq6qoRfFKSSqVYunQpTp8+DblcjjNnzqj1E8tTN1Q+FbxsA1H1UTAQkJGRUeJ89vb2qtdvTlpniBQKBU6dOgU/P79KnYD8o48+gouLC1xcXNCqVSv07t0b//rXvxAXFwcHBwd89913BjF/FlB050Z5l04QBI1hyspHHwFg0qRJpXrP4OBg5OXlAQBGjhypNV2DBg3QrVs3jTxvMjEx0drpKG1aZYDS2dm50AnAC3rrrbcA5I8iy83NVW0vT90QERFR1VXWPrwYZDKZ1tWlJRIJWrduDSD/CYuCFAoF/v77bwD5k2Ir05XU5cuXAeQHg/r166c1XcE+pDJPYXr37l1oEK0saQMDAwEAAwYMKDKgVXB0kvLGJlD+uqHy4QgoojIqeMIq6Q8qkD90s1OnTggNDcWOHTtw8eJF9O/fH507d4abm5tePjesXMlP+fiRubk5cnJy8PjxYxw7dgw+Pj7w8fFRPUpW1GfQ9Yp8QP7ImGHDhun0PSpS06ZNte4rOAruzU5SREQEgPyJ3wuuRFgS9+/fV70u7DG5gtq3b4+///4bmZmZePr0KZo0aaKRpkmTJsVOUl7StLdv3wYAPHr0qNgAlFJOTg5SUlJUj86Vp26IiIioZEo7wunp06dqk2kXZGdnp/YIvK6Upg9fGSOcilJUHxH4Xz/xzT5iTEyManRXUU9caKN89LB169ZFTjtQp04d1K9fH7GxsUU+rljS/lxxaWNjY5GYmAgA8PLygpeXV4mO+erVK9Xr8tYNlQ8DUERllJSUpHpd2kflfv75ZyxYsABhYWGqlbg2btwIExMTtG/fHkOGDIGnp2eJL+jFYG5uDhcXF/z73/9GkyZNsHTpUly7dg2bNm3CwoULdf7+K1asUC2tmpWVhSdPnmDfvn0IDg7GwYMH8erVK2zatKlEQ33FVlTAruDKd2+OPlL+DRYcVVdSycnJqtfFdfYKTiyvnDPqTaWZ36G4tMqORWkV7NCWp26IiIhINxYvXqy2jH1ByhueulaePnxlK+7GtLKf+OYqdQU/Y1n6Qsr+XkkCgvb29oiNjdXaRwQqrp+YkJBQ4uMUlJWVpXpd3rqh8mEAiqiMlCMsAJRo7qOCHB0dsXfvXly+fBlnz55FSEgIoqKikJOTg9DQUISGhsLb2xtbtmwp9bHFMHLkSHh5eSE5ORmHDh2qlABUgwYN1Cb9a9euHQYPHozFixfj8OHDOH/+PHx8fDSehyfdMDIyqrC0ykBby5YtVRNgloSjo2OJ0xIREVH1VJ4+fHVTUTdyK6qfWDDQNmfOHAwcOLBEx9THJ0yqKwagiMro0qVLqtcdO3Ys0zG6du2qWqUtKSkJly9fxr59+3DlyhU8efIECxcuxNGjRyuiuDollUrRuHFjJCcn4+XLl0hKShJlYmeJRIKvv/4aV65cQVxcHDZs2IDhw4erTTZZlSjruODE9iVVsE4SEhKKnGCx4LDlyrhTqCybXC4v88oi5akbIiIi0o1du3aJXYQK6cPru4L98LL0hWrVqoWXL1+q9QG1UR6/MvuIAGBsbFymfmJ564bKh5OQE5XBvXv3VBPt1a1bF66uruU+Zu3ateHh4QEfHx/06dMHABAZGVns8rD6ouAE0Nomqq4MFhYWmD17NgAgLS0Nv//+u2hl0TXlpIlxcXGIjY0tVd4WLVqoXt+8ebPItLdu3QKQX7fK5Wd1qeCEmmXtGJSnboCKu+NHRERE+iMxMRF//PEHgPzJyN955x2RS6QbDRo0UD3KFhISUur8ysBORESEWh//TQkJCYiLi1PLo0sNGzaEtbU1AOD69etlOkZ564bKhwEoolLKysrC559/DkEQAABTpkyBsXHFDiZUjooC1J9TBqCaF6oyV5wrTmZmJh48eAAgf24osZe1Hz58OOrVqwcA8PX1VZvvqCpRBioBYMeOHaXK27lzZ9UQ50OHDmlNFxcXp7pTWDCPLik/lyAI2LlzZ7mOAZS+bgDA1NRU9VqfvmtERERUNgqFAl988YVqzsjRo0dX2VHyUqkUPXv2BJAfZCn42GFJKK9FUlNTcfbsWa3pDh06pLomKnj9oitGRkaqzxUUFKS6/iiN8tYNoJ/XY4bC4AJQf/75JyZOnIi33noLbm5uGDZsGLZu3YqcnJwyHe/27duYP38+unXrhrZt26JPnz749ttvyzzBGVVtUVFRGD9+vOqHqnPnzhg3blypjhEZGYnIyEit+wVBUF3wSyQSjRW8lJPlPX36VPWDL7b169erJvfr3r17pQQpimJiYoJp06YByF8VpKxBDH3XrVs3tGnTBgCwe/dunDx5UmvapKQktQkYHR0d0bdvXwDA33//jSNHjmjkyc7OxuLFi1W/rxMmTKjI4mvVvXt3tGvXDgCwbds2nDp1qsj0d+/exV9//aW2rTx1AwAODg6q10+ePClV+YmIiEi/xMXFYdq0abhw4QKA/NXl5s6dK3KpdGvq1KmQSqUQBAELFy7E8+fPtaZ9c98HH3ygmjfpxx9/RHx8vEaee/fuYcuWLQDU+5W6NmPGDBgZGUGhUGD+/PlFfq68vDwcP35cI0156gb43/UY+4ilZ1BzQH3//ffYuXMnjI2N0aVLF1haWuLKlStYvXo1AgMD4e3tDXNz8xIf7/Tp0/jss8+Qm5uLtm3bokGDBrh9+zZ2796N06dPw9fXF40bN9bhJyJ9k5CQoLaEaGZmJlJSUnD37l1cuXIFQUFBqqCPm5sb1q1bV+TSpIWJjIzEl19+ibZt26J3795o06YN6tSpg9zcXMTExODw4cMICgoCkD+Ko+CFMAC4u7vj8OHDSEhIwMqVKzFs2DDVUFRjY2OdLDmvrBeFQoHXr1/DzMwMOTk5ePz4MY4ePYr//ve/APLvBsyfP7/IY6Wmpha5TKuSkZERmjVrVuYyjxw5Er/99htevnyJ3bt3Y8qUKcUutWuIVq1ahZEjR0Iul+P//u//cPr0aXh4eKBhw4ZQKBR4/PgxgoKCcObMGZw4cQINGjRQ5V28eDGuXLmClJQULF68GNeuXYOHhwdq1qyJhw8fwtvbWxUsHTRokOpuUWXw8vLCqFGjkJycjIULF+L48ePw8PBAkyZNIJVKkZCQgMjISAQGBuLGjRuYMmWK2qin8tZNhw4dVK9XrlyJTz75BPb29qrvQNOmTUUPtBIREVG+N/uXWVlZSEtLQ1RUFEJCQhAYGKh6lMzZ2RmbN29W9Z+rqlatWmHevHlYt24doqOjMXToUIwfPx5dunSBjY0NUlNTERkZCX9/f0ilUrX5uWxtbbFo0SIsX74cz58/h6enJ6ZPnw53d3fk5uYiKCgI3t7ekMvlkEgk+Pbbb0t9TVRWylW4V65ciaioKAwZMgSjR49Gly5dUKdOHbx+/RqxsbG4ceMGTp8+jZcvX+LEiRNwcnKqkLoB8vuJV69eRXh4OLZs2YIePXqoAnbm5uZcGKcIBhOAOnfuHHbu3AlLS0vs3r1bdWc7MTERkyZNwrVr17Bu3Tp8/vnnJTpefHw8vvjiC+Tm5mL58uUYM2YMgPwo6RdffIHjx4/js88+w4EDBzgXSDXi5+cHPz+/ItPY2tpi0qRJmDZtWrkevQsPD0d4eLjW/R06dMD333+vsd3DwwObN2/G06dP4ePjAx8fH9W++vXra4wEqQglrZdVq1bBxcWlyHQBAQEICAgo9j2tra0RGhpaqnIWZGZmhsmTJ2PVqlVISUnBnj17MHPmzDIfT181a9YMu3btwty5c/Hs2TOcPXu2yKHSBTk5OWHHjh2YOXMmXrx4gQMHDuDAgQMa6fr3748ff/yxootepEaNGmHv3r2YP38+7t27h8DAQAQGBmpNX6NGDY1t5ambxo0bY9CgQfjzzz9x8eJFXLx4UW2/v78/GjVqVLoPRURERDpRkv6llZUVRo8ejfnz51ebVdFmz54NqVSK9evXIzU1FZs2bcKmTZs00nXu3Flj24QJE5CWloZ169bh1atXWLlypUYaU1NTfPvtt5V6kxIAJk+eDEtLS6xYsQJpaWnYtm0btm3bVmhaExMT1SNzBZWnbsaPH4+9e/ciOTkZXl5e8PLyUkuvD5Pt6yuDCUAp/xhmzJihCj4B+Re933zzDSZMmIDdu3dj9uzZJYpm+/j4IDMzE926dVMFn4D8URf/+c9/EBgYiPDwcFy8eBHvvvtuxX+gCpYsl4tdBJ0Q83NJpVLUqFED1tbWqFevHtq0aYNOnTqhV69eavPDlNaQIUNgZ2eHS5cuITw8HPHx8UhISEBubi7s7OzQunVreHh4YPDgwZBKNZ+SrVGjBvbu3YvNmzcjKCgIcXFxqmfZK5OJiQlsbGzQvHlz9OzZE56enpWy+kVpjBs3Dlu3bkVycjJ27NiBjz76qEp2OFxdXXH69GkcOHAA586dw/3795GSkgJTU1M0aNAAHTp0wKBBg9RG+Ci1bt0ap0+fxp49e3Du3Dk8evQImZmZqF27Ntzc3DBixAiNkUWVxdnZGUePHsWff/6Js2fPIjw8HImJicjLy4ONjQ2cnZ3RsWNH9OvXT+28UFB56mbVqlVwdXXFmTNn8OjRI2RkZKgt/0tEROIQu9+rUCiQk5MDExOTQvtqZSX256oqJBIJatSoASsrKzg6OqJ169bo0KED+vXrB0tLS7GLV+k++eQTDBw4EL6+vrh8+TLi4uKQlZWFmjVronnz5ujWrRuGDx+uNW+vXr2wZ88eXLlyBS9evIBUKoWTkxPefvttTJkyRbQbcqNHj0afPn2wd+9eBAUF4dGjR0hLS4OpqSkcHBzg4uKCbt26oX///rC1tS30GGWtG0dHRxw4cACbN29GSEgInj9/jtevX+v4E1cNEkFfJpEpQnx8PHr06AEgfyRUYasw9erVC8+ePYOXlxeGDBlS7DH79++Px48fY8WKFfjggw809v/73//GsWPHMGbMGCxfvrxM5VaObmnbtm2p8mVlZeHRo0dwdnYu9pHC9PR07N+yBblVeM4qYzs7jJ4xAxYWFsjKyoK5uTkffRFJXl4e20BkbANxlaX+S/ObTsWTy+WIjIxEq1atquWFhBhevXqFw2vWwNPODv5hYfiPnx82jBuHfnp8g+5VejoOJyTAc+FC1KlTR+ziVKiq9h0wxH6vQqFAbl4ejI2MKjQABfyv31sVpw2oKOwLiY9tUHHK0k+8desWJBJJqeMM+sAgRkApJ3y2sbHRugS4q6srnj17hoiIiGIDUOnp6Xj8+LEqn7bjHTt2rEyz4lcmKysrjJ4xQ2MC3arE3NwcVlZWyMvLE7soRERERCQSfen36vLiW9nvJSKqigwiABUTEwMAqFu3rtY0yknFlGmLEhsbq3qtXKr9Tcr3KsnxxGZlZcUTFRERERFVefrQ7+XoDyKisjGIAFRGRgYAFDl3i3ICWmXakhyvqGMqhzSnp6eXuJyFEQQB8lI+z/369WsoFArk5eVx1E8ByqdFBUFgvYiEbSA+toG4ylL/eXl5UCgUyMzM5BxSFUA5550Yc99VV3K5HNk5OXiRkoKU/9+HSpbLEZuYKHLJtEvJzER2Tg7kcnmp+2H6rqp9Bwyx38tzsbhY/+JjG1ScsvQTBUEw2IXSDCIAZchycnJUy5iXhrGxMScy04L1Ij62gfjYBuIqTf2/fv0aubm5ePjwoQ5LVP1ER0eLXYRqQy6XIyEnBwdevcILhQLmDg64mJeHiAJLnuulWrXw+PFjvHz5UuyS6ERV+g4Yar/XEMtclbD+xcc2KL+y9hPLsyiWmAwiAKUc3VTUnR7lqKbCluLWdjzlMQtbNU95t6y8Q3xNTEzQvHnzUuV5/fo14uLiYGZmxglrCxAEAa9fv4aZmZnBRnwNHdtAfGwDcZW1/o2NjdGoUaNClwGm0snMzER0dDSaNGlSJVe11FcuLi7IyspCVlYWhhnIpPpVdS6dqvYdMMR+L8/F4mL9i49tULFK20+8f/++jkukOwYRgKpfvz4A4NmzZ1rTPH/+XC1tSY4HAHFxcXBxcdFIo3yvkhyvKBKJpNQrlEilUkilUhgZGfG58gKUwzslEgnrRSRsA/GxDcRVlvo3+v+rJFlYWBjMxZUhsLCwqBIrgBkKZV3L5XKkpaWhQYMGrH+RVZXvgCH2e3kuFhfrX3xsg4pTln6iIQf9KnbdUB1p3bo1ACA5ORlPnz4tNM3t27cBAG3atCn2eFZWVmjcuLFavvIcj4iIiIiIiIiItDOIAJSTkxPatm0LAPjjjz809oeGhuLZs2cwNTVFz549S3TMvn37aj1eRkYGAgMDAQD9+vUra7GJiIiIiIiIiAgGEoACgE8++QQAsGXLFty5c0e1PSkpCcuWLQMAfPjhh2rzOfn7+2PgwIGYNGmSxvEmTZoECwsLXLp0Cfv371dtz8vLw7Jly5Camoq2bduie/fuuvpIRERERERERETVgkHMAQXkj1iaOHEidu3ahTFjxqBLly6wtLTE5cuXkZqaCnd3dyxYsEAtT1paGh49eoTs7GyN4zk6OmLlypX47LPPsHTpUhw8eBD169dHeHg4nj59ijp16sDLy8ugn68kIiIiIiIiItIHBhOAAoCvvvoK7u7u8PX1RVhYGHJzc9GoUSNMnz4dkydPLvVShIMGDULDhg2xefNmhIaGIiIiAg4ODpgwYQJmz56NOnXq6OiTEBERERERERFVHwYVgAIADw8PeHh4lCitp6cnPD09i0zj6uqK9evXV0TRKpwgCGIXgYiIyom/5URExeNvJRFVR9Xtt89g5oCqTpRLWebm5opcEiIiKi/lbzmXKSYi0sR+LxFVZ9Wtn8gAlB4yNjaGmZkZUlJSxC4KERGVU0pKCszMzGBsbHCDjomIdI79XiKqzqpbP5EBKD0kkUhgY2ODtLQ0JCUliV0cIiIqo6SkJKSlpcHGxoaLWhARFYL9XiKqrqpjP7F6hNkMUO3atZGdnY3nz58jNTUVVlZWMDc3h1QqrTZ/nG/Ky8vD69evAVSfIYr6hm0gPraBuIqrf0EQoFAokJWVhfT0dMjlctSuXRu1a9eu7KISERkMQ+v38lwsLta/+NgGZcN+IgNQeksikcDJyQkWFhZITU3Fq1evoFAoxC6WqBQKBXJzc2FsbAyplIP3xMA2EB/bQFwlrX+pVApLS0vUq1cPtWrVqsQSEhEZHkPr9/JcLC7Wv/jYBuVTnfuJDEDpuVq1aqFWrVqqL7k+n4x1LTMzEw8fPkSjRo1gYWEhdnGqJbaB+NgG4ipJ/UulUnbIiIjKwFD6vTwXi4v1Lz62QdlV934iA1AGQiqVwtTUVOxiiErZCTEzM4O5ubnIpame2AbiYxuIi/VPRKR7+t7v5blAXKx/8bENqKyqZ9iNiIiIiIiIiIgqDQNQRERERERERESkUwxAERERERERERGRTjEARUREREREREREOsUAFBERERERERER6RQDUEREREREREREpFMMQBERERERERERkU4xAEVERERERERERDrFABQREREREREREekUA1BERERERERERKRTEkEQBLELUVVdv34dgiDA1NRU7KJUCYIgICcnByYmJpBIJGIXp1piG4iPbSAu1r/42AbiYv2Lj20gPraBuFj/4mMbiCs7OxsSiQTu7u5iF6XUjMUuQFXGL2PFkkgkDOaJjG0gPraBuFj/4mMbiIv1Lz62gfjYBuJi/YuPbSAuiURisLEGjoAiIiIiIiIiIiKd4hxQRERERERERESkUwxAERERERERERGRTjEARUREREREREREOsUAFBERERERERER6RQDUEREREREREREpFMMQBERERERERERkU4xAEVERERERERERDrFABQREREREREREekUA1BERERERERERKRTDEAREREREREREZFOMQBFREREREREREQ6ZSx2AchwPHz4EEFBQbhz5w7u3LmDBw8eIC8vDwsWLMDs2bOLzHvp0iVs374dt27dQmZmJurVq4cBAwZgxowZqFGjhtZ8jx8/xm+//YZLly4hMTERtra26NatG+bMmYOGDRtqzZeeno4tW7bgzJkzePbsGSwsLNC+fXt8/PHH6Nq1q9Z8CoUC+/fvx6FDhxAVFQUAaN68OUaOHInRo0dDIpEUU0viiouLw++//46goCA8e/YMgiDA3t4eb731Fj7++GO0bNmy0HyG0j6GIjs7G3v37sWff/6JBw8eIDMzE7Vr14ZMJoOnpyc8PDw08rANdOOnn37Ctm3bAKDI3yrWf/nl5OQgNDQUf//9N4KDg/H48WNkZmbCxsYGbdu2xdixY9GrVy+t+dkG+u/PP/+Er68v/vnnH+Tk5KBRo0YYOnQoJk+eDBMTE7GLJzp+B/QTzwPiYF9IXLwm0C1eF5f9ulgiCIJQppxU7Xz//ffYuXOnxvbivmg7duzAypUrIZFI0KlTJ9jZ2eHatWt4+fIlnJ2d4evrC1tbW418165dw9SpU5GZmYkWLVqgRYsWuH//Pu7fvw9LS0ts374dbm5uGvkSEhIwfvx4REdHw97eHh07dkRCQgJCQ0MBAEuWLMHEiRM18uXl5eHTTz/F2bNnYWFhgS5dugAALl++jKysLAwcOBBr1qyBVKqfAwdv3ryJjz/+GBkZGXB0dESbNm1gZGSEyMhIxMTEwNjYGKtXr8agQYPU8hlK+xiK58+fY+rUqYiKikLt2rXh5uYGCwsLPHv2DP/88w969OiBX375RS0P20A3rl+/jgkTJkAQBAiCoPW3ivVfMS5duoSPP/4YAGBvb482bdrAwsICDx48wL179wAAY8aMwbJlyzQ6LWwD/afsAxgbG6NLly6wtLTElStXkJqaio4dO8Lb2xvm5uZiF1NU/A7oH54HxMG+kLh4TaB7vC4ux3WxQFRC+/fvF3744Qfh+PHjQlRUlLBo0SJBJpMJv/76q9Y8d+7cEVxcXIRWrVoJ58+fV22Xy+XCpEmTBJlMJsybN08jn1wuF7p37y7IZDLBy8tLbZ+Xl5cgk8mEnj17CpmZmRp5Z82aJchkMmHSpEmCXC5XbT9//rzQqlUroWXLlkJkZKRGvu3btwsymUx49913hSdPnqi2P3nyRFWWXbt2FV1JIho6dKggk8mEpUuXCtnZ2arteXl5wpo1awSZTCZ06tRJyMrKUu0zpPYxBJmZmcLAgQMFmUwmrF+/Xq0dBCG/3iIiItS2sQ10Qy6XC/379xfeffddYfbs2Vp/q1j/FefSpUvCvHnzhJCQEI19J0+eFFq1aiXIZDLhyJEjavvYBvrP399fkMlkgpubm3D79m3V9oSEBGHIkCGCTCYTfvjhBxFLqB/4HdAvPA+Ig30h8fGaQPd4XVz262IGoKjMPv/882K/aPPnzxdkMpmwZMkSjX0xMTFCy5YtBZlMJkRFRant2717tyCTyYT+/fsLeXl5avvy8vKE/v37CzKZTPDz81Pbd//+fUEmkwmtWrUSYmJiNN5z8eLFgkwmExYuXKhxzHfeeUeQyWTCsWPHNPIdPXpUkMlkQvfu3TXKow8SExMFmUwmyGQyISEhQWN/bm6u0K5dO0Emkwl37txRbTeU9jEUa9euVZ3wS4ptoBvffvutIJPJhPPnzxf5W8X6rzzKzzZp0iS17WwD/ffBBx8IMplM2Lhxo8a+kJAQQSaTCa6urkJqaqoIpTMc/A5ULp4HxMG+kLh4TSAOXheXnH4+S0RVQnZ2Ni5cuAAAGDJkiMb++vXrw93dHQBw7tw5tX3K/w8ePFhjaJ9UKlU9N+7v76+2T/l/d3d31K9fX+M9leUIDAxETk6OantYWBhevnwJU1NTDBgwQCPfgAEDYGJighcvXuDmzZtFfGpxmJqaljht7dq1ARhW+xiCnJwc+Pn5AQCmTp1aojxsA924evUqdu/ejeHDh6Nnz55a07H+K1fr1q0BAM+ePVNtYxvov/j4eISHhwMovI06deqEunXrqrUlFY7fgcrD84A42BcSH68J9JMh1bGur4sZgCKdiY6ORmZmJgDA1dW10DTK7REREWrblf8vbb7IyMgi87Vt2xYAIJfL8fjxY418LVq0gJmZmUY+c3NztGjRotD31Ac1atRAp06dAABr165V+xFRKBRYv349srKy0KNHD9StWxeAYbWPIYiIiEBSUhIcHBzQuHFj3L17Fxs2bMDXX3+N1atX4/z581AoFGp52AYVLyMjA4sXL0adOnWwePHiItOy/itXdHQ0AMDBwUFtG9tAvynrz8bGRuskp9rqmtTxO1A5eB4QD/tC4uM1gX4ypDrW9XUxV8EjnYmJiQEA1KxZE1ZWVoWmUf7wKdMC+TP1JycnAwDq1atXZL7ExETI5XJYWlqqHUe5/01WVlawsrJCeno6YmJi0Lx58xLlAwAnJydERESolVWffPvtt5gxYwb27duH8+fPw9XVFUZGRoiIiEB8fDzef/99fP3116r0htQ+huDu3bsA8v9OVq9ejd9//x1CgTUetm7ditatW+PXX39V1RvboOL9+OOPiImJwa+//opatWoVmZb1X3levnyJI0eOAAD69++v2s420H8lPT8WTEua+B2oPDwPiId9If3AawL9Y0h1rOvrYo6AIp3JyMgAAFhYWGhNo/yCpKena+QrKq8yn7a8BfeX5j1LUtaC5dMnTZs2xb59+9C9e3fEx8cjICAAZ8+eRUxMDBo3bozOnTur/eAZUvsYAuXJITIyElu3bsX48eNx+vRpXLt2Ddu3b0eTJk0QERGBmTNnqu5GsQ0q1sWLF7Fv3z4MHjwYffv2LTY9679y5ObmYtGiRUhLS4NMJsOYMWNU+9gG+q8kbaRcNlpfz49i43eg8vA8IC72hfQDrwn0jyHVsa6vixmAIqoirl27hqFDh+LevXvw8vJCUFAQgoODsWnTJuTm5mLJkiXFDkWnslPe4cvJycGQIUPw9ddfw9nZGVZWVujWrRu2b98OMzMz3Lt3DydPnhS5tFVPWloalixZAltbW3z11VdiF4cK+Oabb3D58mXY2Njgl19+KdX8FERVAb8DlYPnAfGxL6QfeE1A+owBKNIZ5R1R5fOuhZHL5QCgFoVX5isqrzKftrwF95fmPUtS1oLl0xepqamYO3cuEhMTsWHDBgwZMgR16tRBrVq10Lt3b/z++++wsLDAoUOHcOXKFQCG1T6GoGC9FLy7rVSvXj306tULAHD58mW1PGyD8luxYgWeP3+OpUuXwtbWtkR5WP+699133+HgwYOoVasWtm/fDmdnZ7X9bAP9V5I2Ut4B1cfzo9j4Hag8PA+Ij30h8fGaQD8ZUh3r+rqYASjSGeVs+6mpqVqHTipXgik4M7+VlRVsbGwAAHFxcUXmq127ttqwQuVxCq4wU1B6erqqLAXfs7h8APD8+XMAQIMGDbSmEcv58+eRmJiIhg0bon379hr7GzZsiHbt2gH43wnfkNrHEBScnFfbRL3Kv52XL18CYBtUJH9/fxgbG8PPzw8TJ05U+/ff//4XAHDw4EFMnDgRCxcuBMD617UffvgBu3btQs2aNbFt2zbVCmAFsQ30X2nOj6wvdfwOVC6eB8THvpD4eE2gnwypjnV9XcwAFOmMs7Oz6tnR27dvF5pGub1NmzZq25WdtIrOp1xK2tLSEk2aNNHId//+fbx+/VojX1ZWFu7fv6+WVp8ofyCKukNgbW0N4H/P5xtS+xiC1q1bQyKRAACSkpIKTaPcrjw5sA0qVm5uLoKDgzX+vXr1CgAQGxuL4OBg1ZKxrH/d+emnn7B9+3ZYW1tj27ZtqpVW3sQ20H/K+kpOTsbTp08LTaOtrqszfgfEwfOAuNgXEh+vCfSTIdWxrq+LGYAinTE1NUXPnj0BAH/88YfG/tjYWISFhQGAxkSRyv+fPHlSY7lWhUKBU6dOAQD69etXaL7r168XGiVWlqN3794wMTFRbe/QoQPs7e2RnZ2NM2fOaOQ7c+YMcnJy4ODgUOjdBLE5OjoCAB4+fIi0tDSN/Tk5OaplMpWRakNqH0Ngb2+Pjh07AgAuXbqksT8nJwchISEAoLrzxDaoOKGhobh7926h/0aMGAEAWLBgAe7evYu//voLAOtfV1avXo1t27bB2toa3t7eqr/3wrAN9J+Tk5MqeFJYG4WGhuLZs2dqbVnd8TsgDp4HxMe+kPh4TaCfDKmOdX1dzAAU6dSMGTMgkUhw+PBh/P3336rtmZmZWLJkCfLy8jBgwAA0a9ZMLZ+npyccHBwQHR2NdevWqe1bt24doqOj4eTkhOHDh6vta9GiBd577z3k5eVhyZIlyMrKUu27cOECjhw5AqlUihkzZqjlk0qlmDZtGoD8jmPBu7xPnz6Fl5cXAGDmzJmQSvXva9OjRw9YWloiKysLX331ldqKBNnZ2Vi5ciXi4uJgYmKCgQMHqvYZSvsYirlz5wIAtmzZghs3bqi25+bm4scff8TTp09Ro0YNeHp6qvaxDcTF+q9Ya9aswdatW1GzZs1iL7yV2Ab675NPPgGQ/9t2584d1fakpCQsW7YMAPDhhx+q7qpXZ/wOGB7Wf8ViX0hcvCbQX4ZSx7q+LpYIyuUKiIpx584dVUcTAJ48eYKkpCQ4OTmpou0AsGHDBjg4OKj+v2PHDqxcuRISiQRvvfUW7OzsEBoaipcvX8LZ2Rm+vr6FThZ57do1TJ06FZmZmZDJZGjRogXu37+Pe/fuwdLSEtu3b4ebm5tGvoSEBIwfPx7R0dGwt7dHp06dkJCQgJCQEAiCgCVLluCjjz7SyJeXl4cFCxbA398fFhYW6Nq1K4D856MzMzMxYMAArF27Vi8DUABw7NgxLF68GLm5ubC1tUXbtm1hbGyM27dvIz4+HlKpFF9//TXGjRunls9Q2sdQbNy4EevWrYOxsTHatm0Le3t73LlzB7GxsTA3N8e6detUE3AqsQ1064svvsCRI0ewYMECzJ49W2M/679iBAQEqOrX1dUVLVq0KDRd7dq18fnnn6ttYxvov++++w67du2CiYkJunTpAktLS1y+fBmpqalwd3fH9u3bYW5uLnYxRcXvgP7ieaBysS8kLl4T6B6vi8t+XcwAFJXY1atXS/QjEBAQoDEh2aVLl+Dt7Y3w8HDI5XLUq1cPAwYMwIwZM4p8Rvnx48fYuHEjLl26hKSkJNSuXRvdunXDnDlz0KhRI6350tPTsXnzZpw9exZxcXGwtLRE27ZtMXXqVNUXqDAKhQL79+/HgQMH8PDhQwBAs2bNMHLkSIwZM0b1XLu++ueff+Dj44OQkBDEx8dDEAQ4ODjA3d0dH330kdY7sYbSPobi4sWL8PHxwa1bt5CRkYE6deqga9eumDZtmsZdDSW2ge4Ud+EBsP4rwuHDh/Hll18Wm65+/fqqx18KYhvov1OnTsHX1xeRkZHIzc1Fo0aNMHToUEyePBmmpqZiF090/A7oL54HKh/7QuLiNYFu8bq47NfFDEAREREREREREZFO6eezREREREREREREVGUwAEVERERERERERDrFABQREREREREREekUA1BERERERERERKRTDEAREREREREREZFOMQBFREREREREREQ6xQAUERERERERERHpFANQRERERERERESkUwxAERERERERERGRTjEARUREREREREREOmUsdgGIiIiIClq/fj02bNhQorR3797VcWmIiIiIqCIwAEVERER6q06dOmIXgYiIiIgqAANQREREpLeCgoLELgIRERERVQDOAUVERERERERERDrFABQREREZrJiYGLi4uMDFxQUxMTF48uQJli5dij59+sDV1RV9+vRRS69QKHD8+HFMnz4d3bp1g6urK7p06YIpU6bgjz/+gCAIWt8rLy8Pu3btwogRI+Dm5obOnTtj4sSJOH36NABg4sSJcHFxwfr164ssozZ9+vSBi4sLDh8+rDXN+fPnMW/ePLz77rtwdXXFW2+9hQkTJsDX1xfZ2dmF5ilYLkEQsH//fowaNQru7u7o0KEDxowZg2PHjml9T6UHDx5g2bJl8PDwQIcOHdChQwcMGDAACxcuxJkzZ6BQKAAAfn5+cHFxQefOnfH69Wutx1MoFKrP/GadERERUdXDR/CIiIioSggLC8PXX38NuVwOCwsLmJiYqO1PTk7G3LlzERISotpmbW2NpKQkBAUFISgoCCdPnsS6detgamqqljc7OxuzZs3CxYsXAQBSqRQmJiYICQlBcHAwpk+frtPPlpWVhX//+984c+aMapuVlRXS0tIQGhqK0NBQHDt2DFu2bEGtWrUKPUZeXh7mzJmDgIAAGBsbw9zcHBkZGbhx4wZu3LiBx48fY/78+YXm3bJlC9asWaMKMpmZmcHCwgJPnjxBdHQ0Tp06hZCQENSsWRNDhw7FTz/9hJSUFJw+fRrvv/9+oce8ePEiYmNjYWRkhJEjR5azhoiIiEjfcQQUERERVQlff/01WrRogYMHD+LGjRsICwvDtm3bAOQHX+bNm4eQkBC0atUKmzZtwo0bNxAaGoqwsDD8+OOPsLOzw19//YXVq1drHNvLywsXL16ERCLBp59+ipCQEISEhCAoKAjjxo3D1q1bERkZqbPPtnTpUpw5cwYNGzbE6tWrce3aNVy7dg03b97Exo0b0bBhQ9y4cQOLFy/WegxfX18EBwfjhx9+UOW/cOECevfuDQD47bffEB0dXWg+Ly8v1Yilo0eP4tatW7h69SquX78Ob29veHh4QCrN71ZaWVlh2LBhAIADBw5oLY9yX48ePVC3bt2yVg0REREZCI6AIiIiIr31zjvvaN23Y8cOWFhYqP5fu3ZtbN++HTVq1FBtc3Z2BgCcOHECwcHBaNq0KXbt2gVra2tVGktLSwwfPhzNmzfHyJEj4evri5kzZ8LOzg4AEB8fj927dwMAZs2ahVmzZqny2tnZ4T//+Q/S0tLwxx9/VMyHfkNoaCiOHz8OOzs77Nq1Sy1YY2Zmhvfeew9t2rTBoEGDcO7cOURGRqJVq1Yax0lJSYGPjw+6dOmi2ubk5IRffvkF7733Hl68eIE///xT7fOlpKSoAnKDBw+Gl5cXJBKJar+FhQXeeecdjXYaN24c9u7di5CQEDx8+BBNmzZV2//q1SsEBgYCAEaPHl2O2iEiIiJDwRFQREREpLdevXql9V9ubq5a2gkTJqgFnwo6dOgQgPzASMHgU0Gurq5o0aIFcnJycPXqVdX2M2fOIDc3F+bm5pg6dWqheefOnVuWj1ciBw8eBAAMHTpU60ghJycnvP322wCA//73v4WmcXd3Vws+KZmamqJ79+4AgLt376rtO3PmDDIyMmBiYoIvvvhCLfhUlJYtW6JDhw4AgP3792vsP3z4MHJycuDk5ISePXuW6JhERERk2DgCioiIiPTWmwGRNxWc1Nvd3b3QNHl5ebhx4wYAYMOGDdi8ebPW46WkpAAAYmNjVdtu374NID9AZWVlVWg+Z2dnODo6Ij4+vsjylsX169cB5AeiihpllZaWBgCIi4srdH/79u215nVwcADwv8+vFBYWBgBo06aNKk1JjR07FmFhYTh69Cj+7//+TzWvliAIqsfvRo4cCSMjo1Idl4iIiAwTA1BERERUJSgfmXtTSkqKaoW4NwMs2mRlZaleJyQkAAAcHR2LzOPk5KSTANSLFy8AAOnp6UhPTy82fcGyF6RtdBgAGBvndwnfHFX28uVLAEC9evVKVNaCBg0ahJUrVyIpKQn+/v4YPHgwAODKlSt48uQJjIyMMGrUqFIfl4iIiAwTA1BERERUJSgnwX5TXl6e6vXWrVvRo0ePyipShVCW/z//+Q/GjRtXqe9d0kfuCmNmZoYRI0Zg+/bt2LdvnyoApXwkr0ePHnBycqqQchIREZH+4xxQREREVKXZ2NioRvhoezytKAUnIy+Ktv3K9waA169fa82vfITuTfb29gDKVvbyqlOnTrnee8yYMZBIJAgODsbjx4+RmJgIf39/1T4iIiKqPhiAIiIioirNxMQEbdu2BQDVymul4erqCiB/LqiMjIxC00RHR+P58+eF7qtZs6bqtbY0jx49QmpqaqH7lJN5nz9/vqRFrjDKebVu376tehSwNJydndGlSxcIgoD9+/fj2LFjyMnJQd26dQ1uJBoRERGVDwNQREREVOUpR9tcuHABFy5cKDJtcnKy2v8HDBgAIyMjZGVlwdvbu9A8v/76q9bjWVpaolGjRgDyV5UrzKZNm7TmV5b93r178PX1LarokMvlqvmuKsLAgQNhZWWF3NxcrFy5EoIglPoYY8eOBQAcOXIE+/btAwB88MEHnHyciIiommEAioiIiKq8YcOGoVu3bhAEAXPmzMHGjRvVHpmTy+W4cuUKli1bhr59+6rldXR0xPjx4wEAGzduxObNm1WTgScmJmL58uU4fvw4rK2ttb6/cv6jw4cPY8+ePaqJwp89e4YlS5bg1KlTsLCwKDRv586d4enpCQBYvnw5VqxYgadPn6r2Z2dn48aNG/jpp5/Qu3dvJCYmlrZ6tLK2tsaiRYsAAKdOncKcOXMQGRmp2p+ZmYnz589j1qxZWidI79u3L+zt7ZGQkIBHjx5x8nEiIqJqipOQExERUZVnZGSE9evX41//+hcCAwOxbt06rFu3DlZWVpBKpUhLS1ON7ik4Z5PSokWL8ODBA1y6dAk///yzKm9qaioEQcD06dNx8+ZNBAcHF/r+06dPh7+/P6KiorB8+XJ89913qvwmJib48ccf4eXlhdjY2ELzL1u2DEZGRjhw4AB8fHzg4+MDS0tLmJiYIC0tDQqFQpW2PBOHF2bs2LFISUnB2rVrERAQgICAAJibm8Pc3Bypqamq9y5YhoKMjY0xcuRI/PbbbwA4+TgREVF1xRFQREREVC1YWVlh06ZN2LJlCzw8PFCvXj1kZ2cjMzMTjo6O6N69Oz777DOcPn1aI6+ZmRm2bt2KJUuWoFWrVjAxMYEgCOjUqRPWrl2Lf/3rX0W+d40aNeDr64uPP/4YDRo0gJGREYyNjTFgwADs3btXNUJKG1NTU3z33XfYu3cvPD090ahRIygUCsjlctjZ2aFz586YM2cOjh8/DkdHx3LVU2FmzpyJY8eOYfTo0WjcuDGA/JFXjRs3xpAhQ7BhwwZYWVlpzT9w4EDVa04+TkREVD1JhLI8zE9EREREaiZOnIjg4GDMnTsX8+bNE7s4esXb2xs//vgj6tati4CAAM7/REREVA1xBBQRERER6UxeXh78/PwAAKNGjWLwiYiIqJpiAIqIiIiIdEKhUOCXX37BkydPYGlpiXHjxoldJCIiIhIJJyEnIiIiogp1+vRp/PTTT0hOTkZGRgYAYN68ebC1tRW5ZERERCQWBqCIiIiIqELJ5XLExsbCxMQETZs2xYcffogJEyaIXSwiIiISESchJyIiIiIiIiIineIcUEREREREREREpFMMQBERERERERERkU4xAEVERERERERERDrFABQREREREREREekUA1BERERERERERKRTDEAREREREREREZFOMQBFREREREREREQ6xQAUERERERERERHpFANQRERERERERESkU/8PeI/CVS1w0ZkAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "\n", + "# 그룹 번호 리스트 설정 (1부터 5까지)\n", + "group_numbers = range(1, 6)\n", + "\n", + "# 빈 데이터프레임 생성 (TF-IDF와 DistilBERT)\n", + "combined_data_tfidf = pd.DataFrame()\n", + "combined_data_bert = pd.DataFrame()\n", + "\n", + "# TF-IDF 데이터 읽기\n", + "for group_number in group_numbers:\n", + " file_path_tfidf = f'0.class_document/knn_tfidf/{group_number}/test_p_c.csv'\n", + " data_tfidf = pd.read_csv(file_path_tfidf)\n", + " combined_data_tfidf = pd.concat([combined_data_tfidf, data_tfidf], ignore_index=True)\n", + "\n", + "# DistilBERT 데이터 읽기\n", + "for group_number in group_numbers:\n", + " file_path_bert = f'0.class_document/distilbert/{group_number}/test_p_c.csv'\n", + " data_bert = pd.read_csv(file_path_bert)\n", + " combined_data_bert = pd.concat([combined_data_bert, data_bert], ignore_index=True)\n", + "\n", + "# 데이터 필터링 및 점수 추출\n", + "filtered_data_tfidf = combined_data_tfidf\n", + "filtered_data_bert = combined_data_bert\n", + "\n", + "correct_scores_tfidf = filtered_data_tfidf[filtered_data_tfidf['ctp_correct'] == True]['c_score']\n", + "incorrect_scores_tfidf = filtered_data_tfidf[filtered_data_tfidf['ctp_correct'] == False]['c_score']\n", + "\n", + "correct_scores_bert = filtered_data_bert[filtered_data_bert['ctp_correct'] == True]['c_score']\n", + "incorrect_scores_bert = filtered_data_bert[filtered_data_bert['ctp_correct'] == False]['c_score']\n", + "\n", + "# 시각화 스타일 설정\n", + "sns.set(style=\"whitegrid\")\n", + "\n", + "# 0.0에서 1.0까지 0.05 간격으로 bin을 설정\n", + "bins = np.arange(0, 1.05, 0.05)\n", + "\n", + "# TF-IDF와 DistilBERT 점수 분포 계산\n", + "tfidf_correct_hist, _ = np.histogram(correct_scores_tfidf, bins=bins)\n", + "tfidf_incorrect_hist, _ = np.histogram(incorrect_scores_tfidf, bins=bins)\n", + "\n", + "bert_correct_hist, _ = np.histogram(correct_scores_bert, bins=bins)\n", + "bert_incorrect_hist, _ = np.histogram(incorrect_scores_bert, bins=bins)\n", + "\n", + "# 나비 차트 그리기\n", + "fig, ax = plt.subplots(figsize=(12, 7))\n", + "\n", + "bin_centers = 0.5 * (bins[1:] + bins[:-1])\n", + "\n", + "# 왼쪽: DistilBERT 점수 분포\n", + "ax.barh(bin_centers, -bert_correct_hist, height=0.05, color='green', alpha=0.7, label='DistilBERT Correct', edgecolor='black')\n", + "ax.barh(bin_centers, -bert_incorrect_hist, height=0.05, color='red', alpha=0.4, label='DistilBERT Incorrect', edgecolor='black')\n", + "\n", + "# 오른쪽: TF-IDF 점수 분포\n", + "ax.barh(bin_centers, tfidf_correct_hist, height=0.05, color='green', alpha=0.7, label='TF-IDF Correct', edgecolor='black', left=0)\n", + "ax.barh(bin_centers, tfidf_incorrect_hist, height=0.05, color='red', alpha=0.4, label='TF-IDF Incorrect', edgecolor='black', left=0)\n", + "\n", + "\n", + "ax.set_xlabel('Frequency', fontsize=18) # x축 폰트 크기를 18로 설정\n", + "ax.set_ylabel('Score', fontsize=18) # y축 폰트 크기를 18로 설정\n", + "\n", + "# x축과 y축의 눈금 폰트 크기 조정\n", + "ax.tick_params(axis='x', labelsize=16) # x축 눈금 폰트 크기를 16으로 설정\n", + "ax.tick_params(axis='y', labelsize=16) # y축 눈금 폰트 크기를 16으로 설정\n", + "\n", + "ax.set_yticks(np.arange(0, 1.1, 0.1))\n", + "# 기존의 x축 눈금을 설정한 부분을 수정\n", + "ax.set_xticks(np.arange(-10000, 10001, 2000)) # x축 단위를 2000으로 설정\n", + "\n", + "# 음수 눈금을 양수로 표시하도록 라벨을 변경\n", + "ax.set_xticklabels([str(abs(x)) for x in np.arange(-10000, 10001, 2000)])\n", + "\n", + "# 범례 폰트 크기를 키우고 위치 설정\n", + "# DistilBERT는 좌측 하단에, TF-IDF는 우측 하단에 범례 표시\n", + "legend_bert = ax.legend(['DistilBERT Correct', 'DistilBERT Incorrect'], fontsize=20, loc='lower left')\n", + "legend_tfidf = ax.legend(['TF-IDF Correct', 'TF-IDF Incorrect'], fontsize=20, loc='lower right')\n", + "\n", + "# 범례 두 개 모두 추가\n", + "ax.add_artist(legend_bert)\n", + "\n", + "# 레이아웃 조정 및 출력\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/3.refine.ipynb b/post_process/tfidf_class/3.refine.ipynb index 52ee5d0..f2c2e9d 100644 --- a/post_process/tfidf_class/3.refine.ipynb +++ b/post_process/tfidf_class/3.refine.ipynb @@ -2,29 +2,48 @@ "cells": [ { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, "metadata": {}, "outputs": [ { - "ename": "KeyError", - "evalue": "'p_correct'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/indexes/base.py:3805\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3804\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3805\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3806\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", - "File \u001b[0;32mindex.pyx:167\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mindex.pyx:196\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7081\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7089\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'p_correct'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[11], line 22\u001b[0m\n\u001b[1;32m 20\u001b[0m \u001b[38;5;66;03m# Assign c_thing, c_property to p_thing, p_property and set p_MDM to True if conditions are met\u001b[39;00m\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m index, row \u001b[38;5;129;01min\u001b[39;00m test_csv\u001b[38;5;241m.\u001b[39miterrows():\n\u001b[0;32m---> 22\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[43mrow\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mp_correct\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m \u001b[38;5;129;01mand\u001b[39;00m row[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mctp_correct\u001b[39m\u001b[38;5;124m'\u001b[39m]:\n\u001b[1;32m 23\u001b[0m update_count \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;66;03m# Increment the counter\u001b[39;00m\n\u001b[1;32m 25\u001b[0m \u001b[38;5;66;03m# Check for duplicates within the same ships_idx\u001b[39;00m\n", - "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/series.py:1121\u001b[0m, in \u001b[0;36mSeries.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_values[key]\n\u001b[1;32m 1120\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m key_is_scalar:\n\u001b[0;32m-> 1121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_value\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1123\u001b[0m \u001b[38;5;66;03m# Convert generator to list before going through hashable part\u001b[39;00m\n\u001b[1;32m 1124\u001b[0m \u001b[38;5;66;03m# (We will iterate through the generator there to check for slices)\u001b[39;00m\n\u001b[1;32m 1125\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_iterator(key):\n", - "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/series.py:1237\u001b[0m, in \u001b[0;36mSeries._get_value\u001b[0;34m(self, label, takeable)\u001b[0m\n\u001b[1;32m 1234\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_values[label]\n\u001b[1;32m 1236\u001b[0m \u001b[38;5;66;03m# Similar to Index.get_value, but we do not fall back to positional\u001b[39;00m\n\u001b[0;32m-> 1237\u001b[0m loc \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabel\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1239\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(loc):\n\u001b[1;32m 1240\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_values[loc]\n", - "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/indexes/base.py:3812\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3807\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 3808\u001b[0m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 3809\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m 3810\u001b[0m ):\n\u001b[1;32m 3811\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3812\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3813\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3814\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3815\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3816\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[1;32m 3817\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n", - "\u001b[0;31mKeyError\u001b[0m: 'p_correct'" + "name": "stdout", + "output_type": "stream", + "text": [ + "Processing group 1...\n", + "Total updates where p_correct is False and ctp_correct is True (group 1): 55\n", + "Number of rows with duplicates in the same ships_idx (group 1): 34\n", + "Number of rows without duplicates in the same ships_idx (group 1): 21\n", + "Number of updates made (group 1): 427\n", + "Updated test CSV saved to 0.class_document/distilbert/1/test_p_c_r.csv\n", + "Refine CSV saved to 0.class_document/distilbert/1/refine.csv\n", + "Processing group 2...\n", + "Total updates where p_correct is False and ctp_correct is True (group 2): 63\n", + "Number of rows with duplicates in the same ships_idx (group 2): 21\n", + "Number of rows without duplicates in the same ships_idx (group 2): 42\n", + "Number of updates made (group 2): 225\n", + "Updated test CSV saved to 0.class_document/distilbert/2/test_p_c_r.csv\n", + "Refine CSV saved to 0.class_document/distilbert/2/refine.csv\n", + "Processing group 3...\n", + "Total updates where p_correct is False and ctp_correct is True (group 3): 32\n", + "Number of rows with duplicates in the same ships_idx (group 3): 10\n", + "Number of rows without duplicates in the same ships_idx (group 3): 22\n", + "Number of updates made (group 3): 343\n", + "Updated test CSV saved to 0.class_document/distilbert/3/test_p_c_r.csv\n", + "Refine CSV saved to 0.class_document/distilbert/3/refine.csv\n", + "Processing group 4...\n", + "Total updates where p_correct is False and ctp_correct is True (group 4): 37\n", + "Number of rows with duplicates in the same ships_idx (group 4): 25\n", + "Number of rows without duplicates in the same ships_idx (group 4): 12\n", + "Number of updates made (group 4): 596\n", + "Updated test CSV saved to 0.class_document/distilbert/4/test_p_c_r.csv\n", + "Refine CSV saved to 0.class_document/distilbert/4/refine.csv\n", + "Processing group 5...\n", + "Total updates where p_correct is False and ctp_correct is True (group 5): 40\n", + "Number of rows with duplicates in the same ships_idx (group 5): 19\n", + "Number of rows without duplicates in the same ships_idx (group 5): 21\n", + "Number of updates made (group 5): 379\n", + "Updated test CSV saved to 0.class_document/distilbert/5/test_p_c_r.csv\n", + "Refine CSV saved to 0.class_document/distilbert/5/refine.csv\n" ] } ], @@ -33,90 +52,78 @@ "from sklearn.feature_extraction.text import TfidfVectorizer\n", "from sklearn.metrics.pairwise import cosine_similarity\n", "from tqdm import tqdm\n", + "import re\n", "\n", - "# Set the group number\n", - "group_number = 1 # Change this to the desired group number\n", + "model = \"distilbert\"\n", "\n", - "# Load the CSV files from the specified group\n", - "sdl_class_rdoc_path = f'0.class_document/{group_number}/sdl_class_rdoc.csv'\n", - "test_path = f'0.class_document/{group_number}/test_p_c.csv'\n", + "for group_number in range(1, 6): # Group 1 to 5\n", + " print(f\"Processing group {group_number}...\")\n", "\n", - "sdl_class_rdoc_csv = pd.read_csv(sdl_class_rdoc_path, low_memory=False)\n", - "test_csv = pd.read_csv(test_path, low_memory=False)\n", + " # Load test CSV for the current group\n", + " test_path = f'0.class_document/{model}/t5-tiny/{group_number}/test_p_c.csv'\n", + " test_csv = pd.read_csv(test_path, low_memory=False)\n", "\n", - "update_count = 0\n", - "duplicate_count = 0\n", - "non_duplicate_count = 0\n", + " # Initialize counters\n", + " update_count = 0\n", + " duplicate_count = 0\n", + " non_duplicate_count = 0\n", "\n", - "# Assign c_thing, c_property to p_thing, p_property and set p_MDM to True if conditions are met\n", - "for index, row in test_csv.iterrows():\n", - " if not row['p_correct'] and row['ctp_correct']:\n", - " update_count += 1 # Increment the counter\n", + " # Assign c_thing, c_property to p_thing, p_property and set p_MDM to True if conditions are met\n", + " for index, row in test_csv.iterrows():\n", + " if not row['p_correct'] and row['ctp_correct']:\n", + " update_count += 1 # Increment the counter\n", "\n", - " # Check for duplicates within the same ships_idx\n", - " same_idx_rows = test_csv[(test_csv['ships_idx'] == row['ships_idx']) &\n", - " (test_csv['p_thing'] == row['c_thing']) &\n", - " (test_csv['p_property'] == row['c_property'])]\n", + " # Check for duplicates within the same ships_idx\n", + " same_idx_rows = test_csv[(test_csv['ships_idx'] == row['ships_idx']) &\n", + " (test_csv['p_thing'] == row['c_thing']) &\n", + " (test_csv['p_property'] == row['c_property'])]\n", "\n", - " if len(same_idx_rows) > 0:\n", - " duplicate_count += 1\n", - " else:\n", - " non_duplicate_count += 1\n", + " if len(same_idx_rows) > 0:\n", + " duplicate_count += 1\n", + " else:\n", + " non_duplicate_count += 1\n", "\n", - "# Print the results\n", - "print(f\"Total updates where p_correct is False and ctp_correct is True: {update_count}\")\n", - "print(f\"Number of rows with duplicates in the same ships_idx: {duplicate_count}\")\n", - "print(f\"Number of rows without duplicates in the same ships_idx: {non_duplicate_count}\")\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of updates made: 45\n", - "Updated test CSV saved to 0.class_document/1/test_p_c_r.csv\n", - "Refine CSV saved to refine.csv\n" - ] - } - ], - "source": [ - "update_count = 0\n", + " # Print the results for the current group\n", + " print(f\"Total updates where p_correct is False and ctp_correct is True (group {group_number}): {update_count}\")\n", + " print(f\"Number of rows with duplicates in the same ships_idx (group {group_number}): {duplicate_count}\")\n", + " print(f\"Number of rows without duplicates in the same ships_idx (group {group_number}): {non_duplicate_count}\")\n", "\n", - "# Initialize a list to hold rows that meet the conditions\n", - "refine_rows = []\n", + " # Initialize a list to hold rows that meet the conditions for refinement\n", + " refine_rows = []\n", + " update_count = 0\n", "\n", - "# Assign c_thing, c_property to p_thing, p_property and set p_MDM to True if conditions are met\n", - "for index, row in test_csv.iterrows():\n", - " if (not row['p_MDM'] and row['c_score'] >= 0.9 and \n", - " (row['p_thing'] != row['c_thing'] or row['p_property'] != row['c_property'])):\n", - " test_csv.at[index, 'p_thing'] = row['c_thing']\n", - " test_csv.at[index, 'p_property'] = row['c_property']\n", - " test_csv.at[index, 'p_MDM'] = True\n", - " update_count += 1 # Increment the counter\n", - " refine_rows.append(row) # Add the row to the refine list\n", + " # Assign c_thing, c_property to p_thing, p_property and set p_MDM to True if conditions are met\n", + " for index, row in test_csv.iterrows():\n", + " if (not row['p_MDM'] and row['c_score'] >= 0.91 and \n", + " (row['p_thing'] != row['c_thing'] or row['p_property'] != row['c_property'])):\n", "\n", - "# Convert the list of refine rows into a DataFrame\n", - "refine_df = pd.DataFrame(refine_rows)\n", + " test_csv.at[index, 'p_thing'] = row['c_thing']\n", + " test_csv.at[index, 'p_property'] = row['c_property']\n", + " test_csv.at[index, 'p_MDM'] = True\n", "\n", - "# Save the refine DataFrame to a CSV file\n", - "refine_output_path = f'refine.csv'\n", - "refine_df.to_csv(refine_output_path, index=False, encoding='utf-8-sig')\n", + " updated_p_thing = test_csv.at[index, 'p_thing']\n", + " updated_p_property = test_csv.at[index, 'p_property']\n", + " p_pattern = re.sub(r'\\d', '#', updated_p_thing) + \" \" + re.sub(r'\\d', '#', updated_p_property)\n", + " test_csv.at[index, 'p_pattern'] = p_pattern\n", + " update_count += 1 # Increment the counter\n", + " refine_rows.append(row) # Add the row to the refine list\n", "\n", - "# Print the number of updates made\n", - "print(f\"Number of updates made: {update_count}\")\n", + " # Convert the list of refine rows into a DataFrame\n", + " refine_df = pd.DataFrame(refine_rows)\n", "\n", - "# Save the updated test CSV\n", - "output_file_path = f'0.class_document/{group_number}/test_p_c_r.csv'\n", - "test_csv.to_csv(output_file_path, index=False, encoding='utf-8-sig')\n", - " \n", - "print(f\"Updated test CSV saved to {output_file_path}\")\n", - "print(f\"Refine CSV saved to {refine_output_path}\")\n" + " # Save the refine DataFrame to a CSV file for the current group\n", + " refine_output_path = f'0.class_document/{model}/{group_number}/refine.csv'\n", + " refine_df.to_csv(refine_output_path, index=False, encoding='utf-8-sig')\n", + "\n", + " # Print the number of updates made\n", + " print(f\"Number of updates made (group {group_number}): {update_count}\")\n", + "\n", + " # Save the updated test CSV for the current group\n", + " output_file_path = f'0.class_document/{model}/{group_number}/test_p_c_r.csv'\n", + " test_csv.to_csv(output_file_path, index=False, encoding='utf-8-sig')\n", + "\n", + " print(f\"Updated test CSV saved to {output_file_path}\")\n", + " print(f\"Refine CSV saved to {refine_output_path}\")\n" ] } ], diff --git a/post_process/tfidf_class/3a.check_duplicate.ipynb b/post_process/tfidf_class/3a.check_duplicate.ipynb new file mode 100644 index 0000000..1440a5f --- /dev/null +++ b/post_process/tfidf_class/3a.check_duplicate.ipynb @@ -0,0 +1,84 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The file with the updated p_dup and p_map columns has been saved: 0.class_document/knn_tfidf/1/test_p_c_r.csv\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "group_number = 1\n", + "method_name='knn_tfidf'\n", + "# Read the test file\n", + "test_path = f'0.class_document/{method_name}/{group_number}/test_p_c_r.csv'\n", + "df = pd.read_csv(test_path)\n", + "\n", + "# Concatenate p_thing and p_property into p_tp in the test data\n", + "df['p_tp'] = df['p_thing'] + \" \" + df['p_property']\n", + "\n", + "# Read the train_all file\n", + "train_all_path = f'../../data_preprocess/dataset/{group_number}/train_all.csv'\n", + "train_all_df = pd.read_csv(train_all_path)\n", + "\n", + "# Concatenate thing and property into tp in the train_all data\n", + "train_all_df['tp'] = train_all_df['thing'] + \" \" + train_all_df['property']\n", + "\n", + "# Initialize the p_map column in the test data\n", + "df['p_map'] = 0\n", + "\n", + "# Group by ships_idx and then group p_tp within each ships_idx group\n", + "grouped = df.groupby('ships_idx')['p_tp']\n", + "\n", + "# Iterate through each ships_idx group\n", + "for ships_idx, group in grouped:\n", + " # Count the occurrences of each p_tp within the test group\n", + " p_tp_counts = group.value_counts()\n", + " \n", + " # Assign the count as an integer to p_dup for rows with the corresponding p_tp within the group\n", + " for p_tp, count in p_tp_counts.items():\n", + " # Update p_dup\n", + " df.loc[(df['ships_idx'] == ships_idx) & (df['p_tp'] == p_tp), 'p_dup'] = int(count)\n", + " \n", + " # Calculate p_map by counting matching tp in train_all_df\n", + " p_map_count = train_all_df['tp'].eq(p_tp).sum()\n", + " df.loc[(df['ships_idx'] == ships_idx) & (df['p_tp'] == p_tp), 'p_map'] = int(p_map_count)\n", + "\n", + "# Save the modified DataFrame\n", + "output_path = f'0.class_document/{method_name}/{group_number}/test_p_c_r.csv'\n", + "df.to_csv(output_path, index=False, encoding='utf-8-sig')\n", + "\n", + "print(\"The file with the updated p_dup and p_map columns has been saved:\", output_path)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/4.selection_by_tfidf.py b/post_process/tfidf_class/4.selection_by_tfidf.py deleted file mode 100644 index 0af7bc6..0000000 --- a/post_process/tfidf_class/4.selection_by_tfidf.py +++ /dev/null @@ -1,114 +0,0 @@ -import pandas as pd -from sklearn.feature_extraction.text import TfidfVectorizer -from sklearn.metrics.pairwise import cosine_similarity -from tqdm import tqdm -import os - -group_number = 1 -# Load the CSV files -test_path = f'post_process/tfidf_class/0.class_document/{group_number}/test_p_c.csv' -test_path = f'post_process/tfidf_class/0.class_document/{group_number}/test_p_c_r.csv' -ship_data_list_reference_doc_file_path = f'post_process/tfidf_class/0.class_document/{group_number}/sdl_class_rdoc.csv' - -test_csv = pd.read_csv(test_path, low_memory=False) -sdl_rdoc = pd.read_csv(ship_data_list_reference_doc_file_path) - -# Initialize new columns in test_csv -test_csv['s_score'] = -1 -test_csv['s_thing'] = '' -test_csv['s_property'] = '' -test_csv['s_correct'] = False - -duplicate_filtered = test_csv[(test_csv['p_MDM'] == True)].copy() - -# Create a mapping from thing/property to reference_doc -thing_property_to_reference_doc = sdl_rdoc.set_index(['thing', 'property'])['tag_description'].to_dict() - -# Calculate s_score for duplicate rows -for ships_idx, group in tqdm(duplicate_filtered.groupby('ships_idx'), desc="Processing duplicates"): - for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): - sub_group = sub_group.copy() - tag_descriptions = sub_group['tag_description'].tolist() - - # Get the reference document for the corresponding p_thing and p_property - reference_doc = thing_property_to_reference_doc.get((p_thing, p_property), '') - - if reference_doc: - # Combine the tag_descriptions and the reference_doc for fit_transform - combined_descriptions = tag_descriptions + [reference_doc] - - # Create a new TF-IDF Vectorizer for this specific group - vectorizer = TfidfVectorizer( - token_pattern=r'\S+', - norm='l2', # Use L2 normalization - ngram_range=(1, 7), # Use both unigrams and bigrams - ) - - # Fit and transform the combined descriptions - tfidf_matrix = vectorizer.fit_transform(combined_descriptions) - - # Separate the test_tfidf_matrix and reference_vector - test_tfidf_matrix = tfidf_matrix[:-1] # All but the last one - reference_vector = tfidf_matrix[-1] # The last one - - # Calculate the cosine similarity between the test descriptions and the reference_doc - sub_group['s_score'] = cosine_similarity(test_tfidf_matrix, reference_vector).flatten() - else: - sub_group['s_score'] = 0 - - # Update the s_score values back into the original test_csv - duplicate_filtered.loc[sub_group.index, 's_score'] = sub_group['s_score'] - -for ships_idx, group in tqdm(duplicate_filtered.groupby('ships_idx'), desc="Processing duplicates"): - for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): - if (sub_group['s_score'] == -1).any(): - best_index = sub_group.index.min() - else: - # Find the index of the row with the highest s_score - best_index = sub_group['s_score'].idxmax() - row_position = sub_group.index.get_loc(best_index) - - # Assign s_thing and s_property only to the row with the highest s_score - duplicate_filtered.at[best_index, 's_thing'] = sub_group.at[best_index, 'p_thing'] - duplicate_filtered.at[best_index, 's_property'] = sub_group.at[best_index, 'p_property'] - -# Now, update the original test_csv with the changes made in duplicate_filtered -test_csv.update(duplicate_filtered[['s_thing', 's_property', 's_score']]) - -# Calculate s_correct -test_csv['s_correct'] = ((test_csv['thing'] == test_csv['s_thing']) & - (test_csv['property'] == test_csv['s_property']) & - (test_csv['MDM'])) - -# Calculate the percentage of correct s_thing and s_property -mdm_true_count = test_csv['MDM'].sum() -s_correct_count = test_csv['s_correct'].sum() -s_correct_percentage = (s_correct_count / mdm_true_count) * 100 - -print(f"s_correct count: {s_correct_count}") -print(f"MDM true count: {mdm_true_count}") -print(f"s_correct percentage: {s_correct_percentage:.2f}%") - - -# Save the updated DataFrame to a new CSV file -output_path = test_path = f'post_process/0.result/{group_number}/test_s.csv' -os.makedirs(os.path.dirname(output_path), exist_ok=True) -test_csv.to_csv(output_path, index=False, encoding='utf-8-sig') - -print(f"Updated data saved to {output_path}") - -# Check for duplicates in s_thing and s_property within each ships_idx -print("\nShips_idx with duplicate s_thing and s_property:") -duplicate_ships_idx = [] - -for ships_idx, group in test_csv.groupby('ships_idx'): - # Exclude rows with empty s_thing or s_property - non_empty_group = group[(group['s_thing'] != '') & (group['s_property'] != '')] - duplicate_entries = non_empty_group[non_empty_group.duplicated(subset=['s_thing', 's_property'], keep=False)] - if not duplicate_entries.empty: - duplicate_ships_idx.append(ships_idx) - print(f"Ships_idx: {ships_idx}") - print(duplicate_entries[['s_thing', 's_property']]) - -if not duplicate_ships_idx: - print("No duplicates found.") diff --git a/post_process/tfidf_class/4.selection_knn_tfidf.py b/post_process/tfidf_class/4.selection_knn_tfidf.py new file mode 100644 index 0000000..a60f289 --- /dev/null +++ b/post_process/tfidf_class/4.selection_knn_tfidf.py @@ -0,0 +1,76 @@ +import pandas as pd +from sklearn.feature_extraction.text import TfidfVectorizer +from sklearn.metrics import pairwise_distances +import os +import numpy as np + +k_accuracies = [] + +p_thing_str = 'c_thing' +p_property_str = 'c_property' + +for k in range(5, 6): + recall_list = [] + for group_number in range(1, 6): + test_csv = pd.read_csv(f'translation/0.result/{group_number}/test_p.csv', low_memory=False) + test_csv = pd.read_csv(f'post_process/tfidf_class/0.class_document/distilbert/{group_number}/test_p_c_r.csv', low_memory=False) + train_all_csv = pd.read_csv(f'data_preprocess/dataset/{group_number}/train_all.csv', low_memory=False) + + test_csv['s_score'], test_csv['s_thing'], test_csv['s_property'], test_csv['s_correct'] = -1, '', '', False + duplicate_filtered = test_csv[test_csv['p_MDM']].copy() + train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('') + duplicate_filtered['tag_description'] = duplicate_filtered['tag_description'].fillna('') + + for ships_idx, group in duplicate_filtered.groupby('ships_idx'): + for (p_thing, p_property), sub_group in group.groupby([p_thing_str, p_property_str]): + matching_train_data = train_all_csv[(train_all_csv['thing'] == p_thing) & (train_all_csv['property'] == p_property)] + if not matching_train_data.empty: + combined_descriptions = sub_group['tag_description'].tolist() + matching_train_data['tag_description'].tolist() + + vectorizer = TfidfVectorizer(use_idf=True, token_pattern=r'\S+') + tfidf_matrix = vectorizer.fit_transform(combined_descriptions) + + test_tfidf_matrix = tfidf_matrix[:len(sub_group)] + train_tfidf_matrix = tfidf_matrix[len(sub_group):] + + distance_matrix = pairwise_distances(test_tfidf_matrix, train_tfidf_matrix, metric='cosine') + similarity_matrix = 1 - distance_matrix + + for i, row in enumerate(similarity_matrix): + top_k_indices = np.argsort(row)[-k:] + sub_group.iloc[i, sub_group.columns.get_loc('s_score')] = row[top_k_indices].mean() + else: + sub_group['s_score'] = 0 + + duplicate_filtered.loc[sub_group.index, 's_score'] = sub_group['s_score'] + + for ships_idx, group in duplicate_filtered.groupby('ships_idx'): + for (p_thing, p_property), sub_group in group.groupby([p_thing_str, p_property_str]): + best_index = sub_group.index.min() if (sub_group['s_score'] == -1).any() else sub_group['s_score'].idxmax() + duplicate_filtered.at[best_index, 's_thing'] = sub_group.at[best_index, p_thing_str] + duplicate_filtered.at[best_index, 's_property'] = sub_group.at[best_index, p_property_str] + duplicate_filtered = duplicate_filtered.drop(sub_group.index.difference([best_index])) + + test_csv.update(duplicate_filtered[['s_thing', 's_property', 's_score']]) + test_csv['s_correct'] = ((test_csv['thing'] == test_csv['s_thing']) & + (test_csv['property'] == test_csv['s_property']) & + (test_csv['MDM'])) + + mdm_true_count = test_csv['MDM'].sum() + s_correct_count = test_csv['s_correct'].sum() + recall = s_correct_count / mdm_true_count * 100 + recall_list.append(recall) + + if k == 5: + output_path = f'post_process/0.result/{group_number}/test_s.csv' + os.makedirs(os.path.dirname(output_path), exist_ok=True) + test_csv.to_csv(output_path, index=False) + print(f"test_s.csv saved for Group {group_number} at {output_path}, mdm:{mdm_true_count}, correct:{s_correct_count}, recall:{recall:.2f}%") + + average_recall = np.mean(recall_list) + k_accuracies.append(average_recall) + print(f"k={k}, Average s_correct percentage: {average_recall:.2f}%") + +overall_average_accuracy = np.mean(k_accuracies) +print(f"Overall average s_correct percentage across all k values: {overall_average_accuracy:.2f}%") + diff --git a/post_process/tfidf_class/4a.selection_class_tfidf.py b/post_process/tfidf_class/4a.selection_class_tfidf.py new file mode 100644 index 0000000..572386a --- /dev/null +++ b/post_process/tfidf_class/4a.selection_class_tfidf.py @@ -0,0 +1,111 @@ +import pandas as pd +from sklearn.feature_extraction.text import TfidfVectorizer +from sklearn.metrics import pairwise_distances +from tqdm import tqdm +import os +import re +import numpy as np +import scipy.sparse as sp # 추가된 부분 + +total_s_correct_count = 0 +total_mdm_true_count = 0 + +# Modified TF-IDF Vectorizer to modify IDF behavior +class ModifiedTfidfVectorizer(TfidfVectorizer): + def _tfidf_transform(self, X, copy=True): + """Apply TF-IDF weighting to a sparse matrix X.""" + if not self.use_idf: + return X + df = np.bincount(X.indices, minlength=X.shape[1]) + n_samples, n_features = X.shape + df += 1 # to smooth idf weights by adding 1 to document frequencies + # Custom IDF: Logarithm of document frequency (df), rewarding common terms + idf = np.log(df + 1) # Modified IDF: log(1 + df) + self._idf_diag = sp.diags(idf, offsets=0, shape=(n_features, n_features), format='csr') + return X * self._idf_diag + +for group_number in range(1, 6): + + test_path = f'translation/0.result/{group_number}/test_p.csv' + ship_data_list_reference_doc_file_path = f'post_process/tfidf_class/0.class_document/{group_number}/sdl_class_rdoc.csv' + + test_csv = pd.read_csv(test_path, low_memory=False) + sdl_rdoc = pd.read_csv(ship_data_list_reference_doc_file_path) + + test_csv['s_score'] = -1 + test_csv['s_thing'] = '' + test_csv['s_property'] = '' + test_csv['s_correct'] = False + + duplicate_filtered = test_csv[test_csv['p_MDM']].copy() + + thing_property_to_reference_doc = sdl_rdoc.set_index(['thing', 'property'])['tag_description'].to_dict() + + for ships_idx, group in tqdm(duplicate_filtered.groupby('ships_idx'), desc=f"Processing duplicates for group {group_number}"): + for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): + sub_group = sub_group.copy() + tag_descriptions = sub_group['tag_description'].tolist() + emtpy_ref = False + reference_doc = thing_property_to_reference_doc.get((p_thing, p_property), '') + if not reference_doc: + p_pattern = sub_group['p_pattern'].iloc[0] + sdl_match = sdl_rdoc[sdl_rdoc['pattern'] == p_pattern].sort_values(by='mapping_count', ascending=False).head(1) + emtpy_ref = True + if not sdl_match.empty: + reference_doc = sdl_match['tag_description'].iloc[0] + else: + sub_group['s_score'] = 0 + print(f"Reference document is empty for p_thing: {p_thing}, p_property: {p_property}") + duplicate_filtered.update(sub_group) + continue + + combined_descriptions = tag_descriptions + [reference_doc] + + vectorizer = ModifiedTfidfVectorizer(use_idf=True, token_pattern=r'\S+', ngram_range=(1, 1)) + tfidf_matrix = vectorizer.fit_transform(combined_descriptions) + + test_tfidf_matrix = tfidf_matrix[:-1] + reference_vector = tfidf_matrix[-1] + + distance_matrix = pairwise_distances(test_tfidf_matrix, reference_vector.reshape(1, -1), metric='euclidean') + similarity_matrix = 1 - distance_matrix + + sub_group['s_score'] = similarity_matrix.flatten() + + duplicate_filtered.loc[sub_group.index, 's_score'] = sub_group['s_score'] + + for ships_idx, group in tqdm(duplicate_filtered.groupby('ships_idx'), desc=f"Processing duplicates for group {group_number}"): + for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): + if (sub_group['s_score'] == -1).any(): + best_index = sub_group.index.min() + else: + best_index = sub_group['s_score'].idxmax() + row_position = sub_group.index.get_loc(best_index) + + duplicate_filtered.at[best_index, 's_thing'] = sub_group.at[best_index, 'p_thing'] + duplicate_filtered.at[best_index, 's_property'] = sub_group.at[best_index, 'p_property'] + + test_csv.update(duplicate_filtered[['s_thing', 's_property', 's_score']]) + + test_csv['s_correct'] = ((test_csv['thing'] == test_csv['s_thing']) & + (test_csv['property'] == test_csv['s_property']) & + (test_csv['MDM'])) + + mdm_true_count = test_csv['MDM'].sum() + s_correct_count = test_csv['s_correct'].sum() + + total_s_correct_count += s_correct_count + total_mdm_true_count += mdm_true_count + + print(f"Group {group_number} - s_correct count: {s_correct_count}") + print(f"Group {group_number} - MDM true count: {mdm_true_count}") + print(f"Group {group_number} - s_correct percentage: {(s_correct_count / mdm_true_count) * 100:.2f}%") + + output_path = f'post_process/0.result/tfidf/{group_number}/test_s.csv' + os.makedirs(os.path.dirname(output_path), exist_ok=True) + test_csv.to_csv(output_path, index=False, encoding='utf-8-sig') + +average_s_correct_percentage = (total_s_correct_count / total_mdm_true_count) * 100 +print(f"Total s_correct count: {total_s_correct_count}") +print(f"Total MDM true count: {total_mdm_true_count}") +print(f"Average s_correct percentage across all groups: {average_s_correct_percentage:.2f}%") diff --git a/post_process/tfidf_class/4a.selection_knn_bow.py b/post_process/tfidf_class/4a.selection_knn_bow.py new file mode 100644 index 0000000..cd7a7ef --- /dev/null +++ b/post_process/tfidf_class/4a.selection_knn_bow.py @@ -0,0 +1,74 @@ +import pandas as pd +from sklearn.feature_extraction.text import CountVectorizer +from sklearn.metrics import pairwise_distances +import os +import numpy as np + +# Initialize overall accuracy results +k_accuracies = [] + +for k in range(1, 53): # k를 1부터 52까지 수행 + total_s_correct_count = 0 + total_mdm_true_count = 0 + + for group_number in range(1, 6): + # test_csv = pd.read_csv(f'post_process/tfidf_class/0.class_document/{group_number}/test_p_c.csv', low_memory=False) + test_csv = pd.read_csv(f'translation/0.result/{group_number}/test_p.csv', low_memory=False) + train_all_csv = pd.read_csv(f'data_preprocess/dataset/{group_number}/train_all.csv', low_memory=False) + + test_csv['s_score'], test_csv['s_thing'], test_csv['s_property'], test_csv['s_correct'] = -1, '', '', False + duplicate_filtered = test_csv[test_csv['p_MDM']].copy() + train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('') + duplicate_filtered['tag_description'] = duplicate_filtered['tag_description'].fillna('') + + for ships_idx, group in duplicate_filtered.groupby('ships_idx'): + for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): + matching_train_data = train_all_csv[(train_all_csv['thing'] == p_thing) & (train_all_csv['property'] == p_property)] + if not matching_train_data.empty: + combined_descriptions = sub_group['tag_description'].tolist() + matching_train_data['tag_description'].tolist() + + # BoW 벡터화를 위한 CountVectorizer 사용 + vectorizer = CountVectorizer(token_pattern=r'\S+') + bow_matrix = vectorizer.fit_transform(combined_descriptions).toarray() + + test_bow_matrix = bow_matrix[:len(sub_group)] + train_bow_matrix = bow_matrix[len(sub_group):] + + # 코사인 거리를 계산하고, 유사도로 변환 (1 - 거리) + distance_matrix = pairwise_distances(test_bow_matrix, train_bow_matrix, metric='euclidean') + similarity_matrix = 1 - distance_matrix + + for i, row in enumerate(similarity_matrix): + top_k_indices = np.argsort(row)[-k:] # 가장 가까운 k개의 인덱스 (유사도 기준, 내림차순) + sub_group.iloc[i, sub_group.columns.get_loc('s_score')] = row[top_k_indices].mean() # 유사도를 s_score에 저장 + else: + sub_group['s_score'] = 0 + + duplicate_filtered.loc[sub_group.index, 's_score'] = sub_group['s_score'] + + for ships_idx, group in duplicate_filtered.groupby('ships_idx'): + for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): + best_index = sub_group.index.min() if (sub_group['s_score'] == -1).any() else sub_group['s_score'].idxmax() + duplicate_filtered.at[best_index, 's_thing'] = sub_group.at[best_index, 'p_thing'] + duplicate_filtered.at[best_index, 's_property'] = sub_group.at[best_index, 'p_property'] + duplicate_filtered = duplicate_filtered.drop(sub_group.index.difference([best_index])) + + test_csv.update(duplicate_filtered[['s_thing', 's_property', 's_score']]) + test_csv['s_correct'] = ((test_csv['thing'] == test_csv['s_thing']) & + (test_csv['property'] == test_csv['s_property']) & + (test_csv['MDM'])) + + mdm_true_count = test_csv['MDM'].sum() + s_correct_count = test_csv['s_correct'].sum() + + total_s_correct_count += s_correct_count + total_mdm_true_count += mdm_true_count + + if total_mdm_true_count > 0: + average_s_correct_percentage = (total_s_correct_count / total_mdm_true_count) * 100 + k_accuracies.append(average_s_correct_percentage) + print(f"k={k}, Average s_correct percentage: {average_s_correct_percentage:.2f}%") + +# k의 평균 정확도 출력 +overall_average_accuracy = np.mean(k_accuracies) +print(f"Overall average s_correct percentage across all k values: {overall_average_accuracy:.2f}%") diff --git a/post_process/tfidf_class/4a.selection_knn_bow_J.py b/post_process/tfidf_class/4a.selection_knn_bow_J.py new file mode 100644 index 0000000..3681182 --- /dev/null +++ b/post_process/tfidf_class/4a.selection_knn_bow_J.py @@ -0,0 +1,76 @@ +import pandas as pd +from sklearn.feature_extraction.text import CountVectorizer +from sklearn.metrics import pairwise_distances +import os +import numpy as np + +# Initialize overall accuracy results +k_accuracies = [] + +for k in range(1, 53): # k를 1부터 52까지 수행 + total_s_correct_count = 0 + total_mdm_true_count = 0 + + for group_number in range(1, 6): + test_csv = pd.read_csv(f'translation/0.result/{group_number}/test_p.csv', low_memory=False) + train_all_csv = pd.read_csv(f'data_preprocess/dataset/{group_number}/train_all.csv', low_memory=False) + + test_csv['s_score'], test_csv['s_thing'], test_csv['s_property'], test_csv['s_correct'] = -1, '', '', False + duplicate_filtered = test_csv[test_csv['p_MDM']].copy() + train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('') + duplicate_filtered['tag_description'] = duplicate_filtered['tag_description'].fillna('') + + for ships_idx, group in duplicate_filtered.groupby('ships_idx'): + for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): + matching_train_data = train_all_csv[(train_all_csv['thing'] == p_thing) & (train_all_csv['property'] == p_property)] + if not matching_train_data.empty: + combined_descriptions = sub_group['tag_description'].tolist() + matching_train_data['tag_description'].tolist() + + # BoW 벡터화를 위한 CountVectorizer 사용 (binary=True로 설정) + vectorizer = CountVectorizer(binary=True, token_pattern=r'\S+') + bow_matrix = vectorizer.fit_transform(combined_descriptions).toarray() + + # BoW를 Boolean 방식으로 변환 + bow_matrix = bow_matrix.astype(bool) + + test_bow_matrix = bow_matrix[:len(sub_group)] + train_bow_matrix = bow_matrix[len(sub_group):] + + # 코사인 거리를 계산하고, 유사도로 변환 (1 - 거리) + distance_matrix = pairwise_distances(test_bow_matrix, train_bow_matrix, metric='euclidean') + similarity_matrix = 1 - distance_matrix + + for i, row in enumerate(similarity_matrix): + top_k_indices = np.argsort(row)[-k:] # 가장 가까운 k개의 인덱스 (유사도 기준, 내림차순) + sub_group.iloc[i, sub_group.columns.get_loc('s_score')] = row[top_k_indices].mean() # 유사도를 s_score에 저장 + else: + sub_group['s_score'] = 0 + + duplicate_filtered.loc[sub_group.index, 's_score'] = sub_group['s_score'] + + for ships_idx, group in duplicate_filtered.groupby('ships_idx'): + for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): + best_index = sub_group.index.min() if (sub_group['s_score'] == -1).any() else sub_group['s_score'].idxmax() + duplicate_filtered.at[best_index, 's_thing'] = sub_group.at[best_index, 'p_thing'] + duplicate_filtered.at[best_index, 's_property'] = sub_group.at[best_index, 'p_property'] + duplicate_filtered = duplicate_filtered.drop(sub_group.index.difference([best_index])) + + test_csv.update(duplicate_filtered[['s_thing', 's_property', 's_score']]) + test_csv['s_correct'] = ((test_csv['thing'] == test_csv['s_thing']) & + (test_csv['property'] == test_csv['s_property']) & + (test_csv['MDM'])) + + mdm_true_count = test_csv['MDM'].sum() + s_correct_count = test_csv['s_correct'].sum() + + total_s_correct_count += s_correct_count + total_mdm_true_count += mdm_true_count + + if total_mdm_true_count > 0: + average_s_correct_percentage = (total_s_correct_count / total_mdm_true_count) * 100 + k_accuracies.append(average_s_correct_percentage) + print(f"k={k}, Average s_correct percentage: {average_s_correct_percentage:.2f}%") + +# k의 평균 정확도 출력 +overall_average_accuracy = np.mean(k_accuracies) +print(f"Overall average s_correct percentage across all k values: {overall_average_accuracy:.2f}%") diff --git a/post_process/tfidf_class/4a.selection_knn_word2vec.py b/post_process/tfidf_class/4a.selection_knn_word2vec.py new file mode 100644 index 0000000..d40a120 --- /dev/null +++ b/post_process/tfidf_class/4a.selection_knn_word2vec.py @@ -0,0 +1,79 @@ +import pandas as pd +from gensim.models import Word2Vec +from sklearn.metrics import pairwise_distances +import os +import numpy as np + +# Function to compute the average Word2Vec vector for a sentence +def compute_sentence_vector(sentence, model, vector_size): + words = sentence.split() + word_vectors = [model.wv[word] for word in words if word in model.wv] + if len(word_vectors) > 0: + return np.mean(word_vectors, axis=0) + else: + return np.zeros(vector_size) + +k_accuracies = [] + +for k in range(1, 53): # k를 1부터 52까지 수행 + total_s_correct_count = 0 + total_mdm_true_count = 0 + + for group_number in range(1, 6): + test_csv = pd.read_csv(f'translation/0.result/{group_number}/test_p.csv', low_memory=False) + train_all_csv = pd.read_csv(f'data_preprocess/dataset/{group_number}/train_all.csv', low_memory=False) + + test_csv['s_score'], test_csv['s_thing'], test_csv['s_property'], test_csv['s_correct'] = -1, '', '', False + duplicate_filtered = test_csv[test_csv['p_MDM']].copy() + train_all_csv['tag_description'] = train_all_csv['tag_description'].fillna('') + duplicate_filtered['tag_description'] = duplicate_filtered['tag_description'].fillna('') + + combined_tag_descriptions = train_all_csv['tag_description'].tolist() + duplicate_filtered['tag_description'].tolist() + sentences = [desc.split() for desc in combined_tag_descriptions] + vector_size = 20 # 벡터 크기 설정 + model = Word2Vec(sentences, vector_size=vector_size, window=3, min_count=1, workers=4) + + for ships_idx, group in duplicate_filtered.groupby('ships_idx'): + for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): + matching_train_data = train_all_csv[(train_all_csv['thing'] == p_thing) & (train_all_csv['property'] == p_property)] + if not matching_train_data.empty: + test_vectors = np.array([compute_sentence_vector(desc, model, vector_size) for desc in sub_group['tag_description']]) + train_vectors = np.array([compute_sentence_vector(desc, model, vector_size) for desc in matching_train_data['tag_description']]) + + distance_matrix = pairwise_distances(test_vectors, train_vectors, metric='euclidean') + similarity_matrix = 1 - distance_matrix + + for i, row in enumerate(similarity_matrix): + top_k_indices = np.argsort(row)[-k:] + sub_group.iloc[i, sub_group.columns.get_loc('s_score')] = float(row[top_k_indices].mean()) + else: + sub_group['s_score'] = 0 + + duplicate_filtered.loc[sub_group.index, 's_score'] = sub_group['s_score'] + + for ships_idx, group in duplicate_filtered.groupby('ships_idx'): + for (p_thing, p_property), sub_group in group.groupby(['p_thing', 'p_property']): + best_index = sub_group.index.min() if (sub_group['s_score'] == -1).any() else sub_group['s_score'].idxmax() + duplicate_filtered.at[best_index, 's_thing'] = sub_group.at[best_index, 'p_thing'] + duplicate_filtered.at[best_index, 's_property'] = sub_group.at[best_index, 'p_property'] + duplicate_filtered = duplicate_filtered.drop(sub_group.index.difference([best_index])) + + test_csv.update(duplicate_filtered[['s_thing', 's_property', 's_score']]) + test_csv['s_correct'] = ((test_csv['thing'] == test_csv['s_thing']) & + (test_csv['property'] == test_csv['s_property']) & + (test_csv['MDM'])) + + mdm_true_count = test_csv['MDM'].sum() + s_correct_count = test_csv['s_correct'].sum() + + total_s_correct_count += s_correct_count + total_mdm_true_count += mdm_true_count + + if total_mdm_true_count > 0: + average_s_correct_percentage = (total_s_correct_count / total_mdm_true_count) * 100 + k_accuracies.append(average_s_correct_percentage) + print(f"k={k}, Average s_correct percentage: {average_s_correct_percentage:.2f}%") + +# k의 평균 정확도 출력 +overall_average_accuracy = np.mean(k_accuracies) +print(f"Overall average s_correct percentage across all k values: {overall_average_accuracy:.2f}%") diff --git a/post_process/tfidf_class/4z.plot_selection.ipynb b/post_process/tfidf_class/4z.plot_selection.ipynb new file mode 100644 index 0000000..7e04489 --- /dev/null +++ b/post_process/tfidf_class/4z.plot_selection.ipynb @@ -0,0 +1,171 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# k 값\n", + "k_values = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n", + "\n", + "# BoW, TF-IDF, Word2Vec, TF-IDF Class 실험 결과\n", + "bow_c = np.array([90.13, 90.31, 90.41, 90.15, 90.11, 90.14, 90.16, 90.16, 90.12])\n", + "bow_e = np.array([86.32, 87.03, 87.61, 87.81, 87.83, 87.85, 88.06, 88.34, 88.42])\n", + "bow_j = np.array([86.58, 87.18, 87.80, 88.01, 88.07, 88.08, 88.21, 88.43, 88.40])\n", + "\n", + "tfidf_c = np.array([89.77, 90.30, 90.52, 90.78, 90.82, 90.77, 90.74, 90.70, 90.70])\n", + "tfidf_e = np.array([89.80, 90.23, 90.42, 90.64, 90.75, 90.81, 90.85, 90.83, 90.82])\n", + "\n", + "word2vec_c = np.array([88.44, 88.40, 88.16, 87.24, 86.83, 86.99, 86.51, 86.51, 86.28])\n", + "word2vec_e = np.array([87.47, 87.89, 88.03, 87.77, 87.71, 87.66, 87.57, 87.36, 87.26])\n", + "\n", + "tfidf_class_c = np.array([90.12, 90.12, 90.12, 90.12, 90.12, 90.12, 90.12, 90.12, 90.12])\n", + "\n", + "# 그래프 설정\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# 글씨 크기 설정 (1단계 낮춤)\n", + "plt.rcParams.update({'font.size': 18})\n", + "\n", + "# 도형 크기를 1.5배로 설정\n", + "marker_size = 9 # 기본 크기가 6이므로 1.5배로 설정\n", + "\n", + "# BoW (C, E, J) -> 색상: 파란색, 도형: 원(circle), 사각형(square), 삼각형(triangle_up)\n", + "plt.plot(k_values, bow_c, 'bo--', label='KNN BoW C', markersize=marker_size) # C: 점선\n", + "plt.plot(k_values, bow_e, 'bs-', label='KNN BoW E', markersize=marker_size)\n", + "plt.plot(k_values, bow_j, 'b^-', label='KNN BoW J', markersize=marker_size)\n", + "\n", + "# TF-IDF (C, E) -> 색상: 빨간색, 도형: 원(circle), 사각형(square)\n", + "plt.plot(k_values, tfidf_c, 'ro--', label='KNN TF-IDF C', markersize=marker_size) # C: 점선\n", + "plt.plot(k_values, tfidf_e, 'rs-', label='KNN TF-IDF E', markersize=marker_size)\n", + "\n", + "# Word2Vec (C, E) -> 색상: 녹색, 실선, 도형: 원(circle), 사각형(square)\n", + "plt.plot(k_values, word2vec_c, 'go--', label='KNN Word2Vec C', markersize=marker_size) # C: 점선\n", + "plt.plot(k_values, word2vec_e, 'gs-', label='KNN Word2Vec E', markersize=marker_size) # 실선\n", + "\n", + "# TF-IDF Class (C) -> 색상: 보라색, 실선, 도형: 원(circle)\n", + "plt.plot(k_values, tfidf_class_c, 'mo-', label='KNN TF-IDF Class C', markersize=marker_size)\n", + "\n", + "# 그래프 꾸미기\n", + "plt.xlabel('K')\n", + "plt.ylabel('Recall')\n", + "\n", + "# 범례를 우측 하단에 위치시킴\n", + "plt.legend(loc='lower right')\n", + "\n", + "# 그래프 출력\n", + "plt.grid(True)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "\n", + "# 데이터 정의\n", + "data = {\n", + " 'THsim': [0.85, 0.86, 0.87, 0.88, 0.89, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0],\n", + " 'DistilBERT_Precision': [0.7144, 0.7153, 0.7159, 0.7164, 0.7168, 0.7174, 0.7181, 0.7189, 0.7202, 0.7208, 0.7217, 0.7225, 0.7235, 0.7245, 0.7258, 0.7277],\n", + " 'DistilBERT_Recall': [0.9101, 0.9102, 0.9102, 0.9103, 0.9104, 0.9105, 0.9106, 0.9105, 0.9105, 0.9105, 0.9105, 0.9102, 0.9104, 0.9104, 0.9102, 0.9086],\n", + " 'TF-IDF_Precision': [0.7240, 0.7245, 0.7245, 0.7245, 0.7247, 0.7248, 0.7247, 0.7254, 0.7259, 0.7264, 0.7265, 0.7266, 0.7268, 0.7268, 0.7268, 0.7268],\n", + " 'TF-IDF_Recall': [0.9093, 0.9096, 0.9095, 0.9095, 0.9091, 0.9091, 0.9090, 0.9093, 0.9094, 0.9094, 0.9094, 0.9092, 0.9089, 0.9089, 0.9086, 0.9086],\n", + " 'No_Refine_Precision': [0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277, 0.7277],\n", + " 'No_Refine_Recall': [0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086, 0.9086]\n", + "}\n", + "\n", + "# 데이터프레임으로 변환\n", + "df = pd.DataFrame(data)\n", + "\n", + "# 기본 figure 설정\n", + "fig, ax1 = plt.subplots(figsize=(12, 7))\n", + "\n", + "# 폰트 크기 설정 (모두 18로 설정)\n", + "plt.rcParams.update({'font.size': 20})\n", + "\n", + "# 첫 번째 y축 (왼쪽) - Precision\n", + "ax1.set_xlabel(r'TH$_{sim}$', fontsize=20, color='black')\n", + "ax1.set_ylabel('Precision', fontsize=20, color='black')\n", + "ax1.plot(df['THsim'], [x * 100 for x in df['DistilBERT_Precision']], label='DistilBERT Precision', marker='o', linestyle='-', color='blue')\n", + "ax1.plot(df['THsim'], [x * 100 for x in df['TF-IDF_Precision']], label='TF-IDF Precision', marker='x', linestyle='-', color='red')\n", + "ax1.plot(df['THsim'], [x * 100 for x in df['No_Refine_Precision']], label='No Refine Precision', marker='s', linestyle='-', color='green')\n", + "ax1.tick_params(axis='y', labelcolor='black')\n", + "ax1.set_ylim([70, 80]) # y축 범위를 적절하게 설정\n", + "\n", + "# 두 번째 y축 (오른쪽) - Recall\n", + "ax2 = ax1.twinx()\n", + "ax2.set_ylabel('Recall', fontsize=20, color='black')\n", + "ax2.plot(df['THsim'], [x * 100 for x in df['DistilBERT_Recall']], label='DistilBERT Recall', marker='o', linestyle='--', color='blue')\n", + "ax2.plot(df['THsim'], [x * 100 for x in df['TF-IDF_Recall']], label='TF-IDF Recall', marker='x', linestyle='--', color='red')\n", + "ax2.plot(df['THsim'], [x * 100 for x in df['No_Refine_Recall']], label='No Refine Recall', marker='s', linestyle='--', color='green')\n", + "ax2.tick_params(axis='y', labelcolor='black')\n", + "ax2.set_ylim([90.6, 91.2]) # y축 범위를 적절하게 설정\n", + "\n", + "# 제목과 레전드 설정\n", + "ax1.legend(loc='upper left')\n", + "ax2.legend(loc='upper right')\n", + "\n", + "# 왼쪽 y축에 맞춘 그리드 설정\n", + "ax1.grid(True)\n", + "\n", + "# 레이아웃 조정 및 그리드 설정\n", + "plt.tight_layout()\n", + "\n", + "# 그래프 출력\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/post_process/tfidf_class/5.analysis.ipynb b/post_process/tfidf_class/5.analysis.ipynb new file mode 100644 index 0000000..25ed600 --- /dev/null +++ b/post_process/tfidf_class/5.analysis.ipynb @@ -0,0 +1,105 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "'p_map'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/indexes/base.py:3805\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3804\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3805\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3806\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32mindex.pyx:167\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mindex.pyx:196\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7081\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7089\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'p_map'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 21\u001b[0m\n\u001b[1;32m 18\u001b[0m combined_data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mconcat(all_data, ignore_index\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 20\u001b[0m \u001b[38;5;66;03m# -1인 s_score 값을 제외하고 s_thing이 null이 아닌 데이터만 필터링\u001b[39;00m\n\u001b[0;32m---> 21\u001b[0m filtered_data \u001b[38;5;241m=\u001b[39m combined_data[(combined_data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124ms_thing\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mnotna() \u001b[38;5;241m&\u001b[39m (\u001b[43mcombined_data\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mp_map\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m))]\n\u001b[1;32m 23\u001b[0m \u001b[38;5;66;03m# s_correct가 True인 경우와 False인 경우로 나눔\u001b[39;00m\n\u001b[1;32m 24\u001b[0m true_data \u001b[38;5;241m=\u001b[39m filtered_data[filtered_data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124ms_correct\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m]\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/frame.py:4102\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4100\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 4101\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 4102\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4103\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m 4104\u001b[0m indexer \u001b[38;5;241m=\u001b[39m [indexer]\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/pandas/core/indexes/base.py:3812\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3807\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 3808\u001b[0m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 3809\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m 3810\u001b[0m ):\n\u001b[1;32m 3811\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3812\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3813\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3814\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3815\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3816\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[1;32m 3817\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n", + "\u001b[0;31mKeyError\u001b[0m: 'p_map'" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# 그룹 번호 목록 설정\n", + "group_numbers = [1]\n", + "\n", + "# 데이터를 저장할 리스트 초기화\n", + "all_data = []\n", + "\n", + "# 각 그룹의 데이터를 읽어서 합침\n", + "for group_number in group_numbers:\n", + " file_path = f'../0.result/tfidf/{group_number}/test_s.csv'\n", + " data = pd.read_csv(file_path)\n", + " all_data.append(data)\n", + "\n", + "# 모든 그룹 데이터를 하나의 DataFrame으로 합침\n", + "combined_data = pd.concat(all_data, ignore_index=True)\n", + "\n", + "# -1인 s_score 값을 제외하고 s_thing이 null이 아닌 데이터만 필터링\n", + "filtered_data = combined_data[(combined_data['s_thing'].notna() & (combined_data['p_map'] > 0))]\n", + "\n", + "# s_correct가 True인 경우와 False인 경우로 나눔\n", + "true_data = filtered_data[filtered_data['s_correct'] == True]\n", + "false_data = filtered_data[filtered_data['s_correct'] == False]\n", + "\n", + "# 공통된 bins 설정\n", + "bins = np.linspace(0, 1, 31) # 0부터 1까지 30개의 구간으로 나눔\n", + "\n", + "# 히스토그램 그리기\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "# s_correct가 True인 경우\n", + "plt.hist(true_data['s_score'], bins=bins, color='green', edgecolor='black', alpha=0.5, label='s_correct=True')\n", + "\n", + "# s_correct가 False인 경우\n", + "plt.hist(false_data['s_score'], bins=bins, color='red', edgecolor='black', alpha=0.5, label='s_correct=False')\n", + "\n", + "# 그래프 제목과 라벨 설정\n", + "plt.title('Distribution of s_score by s_correct (s_thing is not null)', fontsize=20)\n", + "plt.xlabel('s_score', fontsize=16)\n", + "plt.ylabel('Frequency', fontsize=16)\n", + "plt.xticks(fontsize=14)\n", + "plt.yticks(fontsize=14)\n", + "\n", + "# 범례 추가\n", + "plt.legend(fontsize=14)\n", + "\n", + "# 그래프 출력\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/translation/bart/1.data_process_concat.ipynb b/translation/bart/1.data_process_concat.ipynb new file mode 100644 index 0000000..484d3c7 --- /dev/null +++ b/translation/bart/1.data_process_concat.ipynb @@ -0,0 +1,148 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "30a1ff83e388495ab06f4b8177746d4b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Saving the dataset (0/1 shards): 0%| | 0/6260 [00:00{str(row['tag_description'])}\"\n", + " elif mode == 'tn_td':\n", + " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}\"\n", + " elif mode == 'tn_td_min_max':\n", + " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{row['min']}{row['max']}\"\n", + " elif mode == 'td_min_max':\n", + " input_str = f\"{str(row['tag_description'])}{row['min']}{row['max']}\"\n", + " elif mode == 'td_unit':\n", + " input_str = f\"{str(row['tag_description'])}{str(row['unit'])}\"\n", + " elif mode == 'tn_td_unit':\n", + " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{str(row['unit'])}\"\n", + " elif mode == 'td_min_max_unit':\n", + " input_str = f\"{str(row['tag_description'])}{row['min']}{row['max']}{str(row['unit'])}\"\n", + " else:\n", + " raise ValueError(\"Invalid mode specified\")\n", + " \n", + " output_list.append({\n", + " 'translation': {\n", + " 'ships_idx': row['ships_idx'],\n", + " 'input': input_str,\n", + " 'thing_property': f\"{str(row['thing'])}{str(row['property'])}\",\n", + " 'answer': f\"{str(row['thing'])} {str(row['property'])}\",\n", + " }\n", + " })\n", + " except Exception as e:\n", + " print(f\"Error processing row at index {idx}: {e}\")\n", + " return output_list\n", + "\n", + "combined_dict = {\"mode\": mode, \"fold_group\": group_number}\n", + "with open(\"mode.json\", \"w\") as json_file:\n", + " json.dump(combined_dict, json_file)\n", + "\n", + "combined_data = DatasetDict({\n", + " 'train': Dataset.from_list(process_df(train_data, mode=mode)),\n", + " 'test': Dataset.from_list(process_df(test_data, mode=mode)),\n", + " 'validation': Dataset.from_list(process_df(valid_data, mode=mode)),\n", + "})\n", + "combined_data.save_to_disk(f\"combined_data/{mode}/{group_number}\")\n", + "print(\"Dataset saved to 'combined_data'\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/translation/bart/2.train.ipynb b/translation/bart/2.train.ipynb new file mode 100644 index 0000000..4ddcd09 --- /dev/null +++ b/translation/bart/2.train.ipynb @@ -0,0 +1,359 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# t5 training for combined concatenated outputs (thing + property) \n", + "\n", + "refer to `t5_train_tp.py` and `guide_for_tp.md` for faster training workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "90f850a9e8324109808e45e40f0eea47", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Map: 0%| | 0/6260 [00:00\n", + " \n", + " \n", + " [1800/3920 13:48 < 16:16, 2.17 it/s, Epoch 36/80]\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
StepTraining LossValidation LossBleu
2002.6543000.11238026.397731
4000.1066000.03533587.137364
6000.0446000.02296489.884682
8000.0263000.01822086.274312
10000.0173000.01625286.389477
12000.0124000.01565194.416285
14000.0115000.01483391.596509
16000.0088000.01516891.629519
18000.0069000.01504295.375351

" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", + "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", + "Non-default generation parameters: {'early_stopping': True, 'num_beams': 4, 'no_repeat_ngram_size': 3, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2}\n", + "There were missing keys in the checkpoint model loaded: ['model.encoder.embed_tokens.weight', 'model.decoder.embed_tokens.weight', 'lm_head.weight'].\n" + ] + }, + { + "ename": "", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n", + "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n", + "\u001b[1;31mClick here for more info. \n", + "\u001b[1;31mView Jupyter log for further details." + ] + } + ], + "source": [ + "from datasets import load_from_disk\n", + "import json\n", + "from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, DataCollatorForSeq2Seq, Seq2SeqTrainingArguments, Seq2SeqTrainer, EarlyStoppingCallback\n", + "import evaluate\n", + "import numpy as np\n", + "import os\n", + "\n", + "model_name = \"facebook/bart-base\"\n", + "train_epochs = 80\n", + "\n", + "# Load mode configuration\n", + "with open(\"mode.json\", \"r\") as json_file:\n", + " mode_dict = json.load(json_file)\n", + "\n", + "mode_dict.update({\"model\": model_name, \"train_epochs\": train_epochs})\n", + "fold_group = mode_dict.get(\"fold_group\")\n", + "\n", + "with open(\"mode.json\", \"w\") as json_file:\n", + " json.dump(mode_dict, json_file)\n", + "\n", + "mode = mode_dict.get(\"mode\", \"default_value\")\n", + "file_path = f'combined_data/{mode}/{fold_group}'\n", + "split_datasets = load_from_disk(file_path)\n", + "\n", + "# Load tokenizer and add special tokens\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name)\n", + "additional_special_tokens = [\n", + " \"\", \"\", \"\", \"\",\n", + " \"\", \"\", \"\", \"\", \n", + " \"\", \"\", \"\", \"\",\n", + " \"\", \"\"\n", + "]\n", + "tokenizer.add_special_tokens({\"additional_special_tokens\": additional_special_tokens})\n", + "\n", + "# Preprocess function for tokenization\n", + "def preprocess_function(examples):\n", + " inputs = [ex[\"input\"] for ex in examples['translation']]\n", + " targets = [ex[\"thing_property\"] for ex in examples['translation']]\n", + " return tokenizer(inputs, text_target=targets, max_length=64, truncation=True)\n", + "\n", + "tokenized_datasets = split_datasets.map(\n", + " preprocess_function, batched=True, remove_columns=split_datasets[\"train\"].column_names\n", + ")\n", + "\n", + "# Load model and resize token embeddings\n", + "model = AutoModelForSeq2SeqLM.from_pretrained(model_name)\n", + "model.resize_token_embeddings(len(tokenizer))\n", + "\n", + "# Data collator for padding and batching\n", + "data_collator = DataCollatorForSeq2Seq(tokenizer, model=model)\n", + "\n", + "# Load evaluation metric\n", + "metric = evaluate.load(\"sacrebleu\")\n", + "\n", + "# Compute metrics function\n", + "def compute_metrics(eval_preds):\n", + " preds, labels = eval_preds\n", + " preds = preds[0] if isinstance(preds, tuple) else preds\n", + " \n", + " # Decode predictions and labels\n", + " decoded_preds = tokenizer.batch_decode(preds, skip_special_tokens=True)\n", + " labels = np.where(labels != -100, labels, tokenizer.pad_token_id) # Replace padding tokens\n", + " decoded_labels = tokenizer.batch_decode(labels, skip_special_tokens=True)\n", + " \n", + " # Post-process decoding\n", + " decoded_preds = [pred.strip() for pred in decoded_preds]\n", + " decoded_labels = [[label.strip()] for label in decoded_labels]\n", + " \n", + " result = metric.compute(predictions=decoded_preds, references=decoded_labels)\n", + " return {\"bleu\": result[\"score\"]}\n", + "\n", + "args = Seq2SeqTrainingArguments(\n", + " f\"train_{fold_group}_{model_name}_{mode}_{train_epochs}\",\n", + " save_strategy=\"steps\",\n", + " learning_rate=1e-5,\n", + " per_device_train_batch_size=32,\n", + " per_device_eval_batch_size=64,\n", + " auto_find_batch_size=True,\n", + " ddp_find_unused_parameters=False,\n", + " weight_decay=0.01,\n", + " save_total_limit=1,\n", + " num_train_epochs=train_epochs,\n", + " predict_with_generate=True,\n", + " bf16=True,\n", + " push_to_hub=False,\n", + " evaluation_strategy=\"steps\",\n", + " eval_steps=200,\n", + " save_steps=200, \n", + " logging_steps=200, \n", + " load_best_model_at_end=True, \n", + " lr_scheduler_type=\"linear\",\n", + " warmup_steps=100,\n", + ")\n", + "\n", + "# Define the EarlyStoppingCallback\n", + "early_stopping_callback = EarlyStoppingCallback(\n", + " early_stopping_patience=2\n", + ")\n", + "\n", + "trainer = Seq2SeqTrainer(\n", + " model,\n", + " args,\n", + " train_dataset=tokenized_datasets[\"train\"],\n", + " eval_dataset=tokenized_datasets[\"validation\"],\n", + " data_collator=data_collator,\n", + " tokenizer=tokenizer,\n", + " compute_metrics=compute_metrics,\n", + " callbacks=[early_stopping_callback] \n", + ")\n", + "\n", + "trainer.train()\n", + "os._exit(0)\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/translation/bart/3.produce_test_predictions.ipynb b/translation/bart/3.produce_test_predictions.ipynb new file mode 100644 index 0000000..335fcb4 --- /dev/null +++ b/translation/bart/3.produce_test_predictions.ipynb @@ -0,0 +1,316 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Goal: end to end inference and evaluation\n", + "\n", + "given a csv, make predictions and evaluate predictions, then return results in a csv" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The test_dataset contains 12938 items.\n", + "Making inference on test set\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "12938it [02:37, 82.28it/s] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Inference done.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import os\n", + "import json\n", + "\n", + "with open(\"mode.json\", \"r\") as json_file:\n", + " mode_dict = json.load(json_file)\n", + "\n", + "mode = mode_dict.get(\"mode\", \"none\")\n", + "model_name = mode_dict.get(\"model\", \"none\")\n", + "train_epochs = mode_dict.get(\"train_epochs\", \"none\")\n", + "fold_group = mode_dict.get(\"fold_group\", \"none\")\n", + "\n", + "base_dir = f\"train_{fold_group}_{model_name}_{mode}_{train_epochs}\"\n", + "checkpoints = [d for d in os.listdir(base_dir) if d.startswith(\"checkpoint-\")]\n", + "\n", + "model_checkpoint = os.path.join(base_dir, checkpoints[0]) if checkpoints else None\n", + "\n", + "data_path = f\"../../data_preprocess/dataset/{fold_group}/test.csv\"\n", + "\n", + "try:\n", + " df = pd.read_csv(data_path)\n", + "except UnicodeDecodeError:\n", + " df = pd.read_csv(data_path, encoding='ISO-8859-1')\n", + "\n", + "df = df.dropna(subset=['tag_description']).reset_index(drop=True)\n", + "\n", + "df_org = df.copy()\n", + "df[['thing', 'property', 'tag_description', 'min', 'max', 'MDM', 'pattern']] = df[['thing', 'property', 'tag_description', 'min', 'max', 'MDM', 'pattern']].astype(\"string\")\n", + "\n", + "from datasets import Dataset\n", + "\n", + "def process_df(df, mode='only_td'):\n", + " output_list = []\n", + " for _, row in df.iterrows():\n", + " try:\n", + " if mode == 'only_td':\n", + " input_str = f\"{str(row['tag_description'])}\"\n", + " elif mode == 'tn_td':\n", + " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}\"\n", + " elif mode == 'tn_td_min_max':\n", + " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{row['min']}{row['max']}\"\n", + " elif mode == 'td_min_max':\n", + " input_str = f\"{str(row['tag_description'])}{row['min']}{row['max']}\"\n", + " elif mode == 'td_unit':\n", + " input_str = f\"{str(row['tag_description'])}{str(row['unit'])}\"\n", + " elif mode == 'tn_td_unit':\n", + " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{str(row['unit'])}\"\n", + " elif mode == 'td_min_max_unit':\n", + " input_str = f\"{str(row['tag_description'])}{row['min']}{row['max']}{str(row['unit'])}\"\n", + " else:\n", + " raise ValueError(\"Invalid mode specified\")\n", + "\n", + " output_list.append({\n", + " 'translation': {\n", + " 'ships_idx': row['ships_idx'],\n", + " 'input': input_str,\n", + " 'thing_property': f\"{row['thing']}{row['property']}\",\n", + " 'answer_thing': row['thing'],\n", + " 'answer_property': row['property'],\n", + " 'MDM': row['MDM'],\n", + " }\n", + " })\n", + " except Exception as e:\n", + " print(f\"Error processing row: {e}\")\n", + " return output_list\n", + "\n", + "processed_data = process_df(df, mode=mode)\n", + "test_dataset = Dataset.from_list(processed_data)\n", + "print(f\"The test_dataset contains {len(test_dataset)} items.\")\n", + "\n", + "from transformers.pipelines.pt_utils import KeyDataset\n", + "from transformers import pipeline, BartTokenizer\n", + "from tqdm import tqdm\n", + "\n", + "# Use BartTokenizer for BART inference\n", + "tokenizer = BartTokenizer.from_pretrained(model_name, return_tensors=\"pt\")\n", + "additional_special_tokens = [\n", + " \"\", \"\", \"\", \"\", \n", + " \"\", \"\", \"\", \"\", \n", + " \"\", \"\", \"\", \"\", \n", + " \"\", \"\"\n", + "]\n", + "tokenizer.add_special_tokens({\"additional_special_tokens\": additional_special_tokens})\n", + "\n", + "# Use BART model for inference\n", + "pipe = pipeline(\"text2text-generation\", model=model_checkpoint, tokenizer=tokenizer, return_tensors=True, max_length=128, device=0)\n", + "\n", + "# Check what token-ids the special tokens are\n", + "thing_start_id = tokenizer.convert_tokens_to_ids(\"\")\n", + "thing_end_id = tokenizer.convert_tokens_to_ids(\"\")\n", + "property_start_id = tokenizer.convert_tokens_to_ids(\"\")\n", + "property_end_id = tokenizer.convert_tokens_to_ids(\"\")\n", + "\n", + "def extract_seq(tokens, start_value, end_value):\n", + " if start_value in tokens and end_value in tokens:\n", + " return tokens[tokens.index(start_value)+1:tokens.index(end_value)]\n", + " return None\n", + "\n", + "def extract_seq_from_output(output):\n", + " tokens = output[0][\"generated_token_ids\"].tolist()\n", + " p_thing = tokenizer.decode(extract_seq(tokens, thing_start_id, thing_end_id)) if thing_start_id in tokens and thing_end_id in tokens else None\n", + " p_property = tokenizer.decode(extract_seq(tokens, property_start_id, property_end_id)) if property_start_id in tokens and property_end_id in tokens else None\n", + " return p_thing, p_property\n", + "\n", + "# Inference and storing predictions\n", + "p_thing_list = []\n", + "p_property_list = []\n", + "print(\"Making inference on test set\")\n", + "\n", + "# Process the test set through the pipeline and generate predictions\n", + "for out in tqdm(pipe(KeyDataset(test_dataset[\"translation\"], \"input\"), batch_size=256)):\n", + " p_thing, p_property = extract_seq_from_output(out)\n", + " p_thing_list.append(p_thing)\n", + " p_property_list.append(p_property)\n", + "\n", + "print(\"Inference done.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Thing prediction accuracy: 0.9793861658268438\n", + "Correct thing predictions: 2138, Incorrect thing predictions: 45\n", + "Property prediction accuracy: 0.9752633989922126\n", + "Correct property predictions: 2129, Incorrect property predictions: 10809\n", + "total accuracy: 0.9601465872652314\n", + "Correct total predictions: 2096, Incorrect total predictions: 87\n" + ] + } + ], + "source": [ + "answer_thing = [item['answer_thing'] for item in test_dataset[\"translation\"]]\n", + "answer_property = [item['answer_property'] for item in test_dataset[\"translation\"]]\n", + "mdm_list = [item['MDM'] for item in test_dataset[\"translation\"]]\n", + "\n", + "mdm_count = 0\n", + "for i in range(len(mdm_list)):\n", + " if(mdm_list[i] == \"True\"):mdm_count = mdm_count + 1 \n", + "\n", + "def correctness_test(input, reference, mdm_list):\n", + " assert(len(input) == len(reference))\n", + " correctness_list = []\n", + " for i in range(len(input)):\n", + " if(mdm_list[i] == \"True\"):\n", + " correctness_list.append(input[i] == reference[i])\n", + " else:correctness_list.append(False)\n", + " return correctness_list\n", + "\n", + "# Compare with answer to evaluate correctness\n", + "thing_correctness = correctness_test(p_thing_list, answer_thing, mdm_list)\n", + "property_correctness = correctness_test(p_property_list, answer_property, mdm_list)\n", + "\n", + "correctness_mdm = []\n", + "for i in range(len(mdm_list)):\n", + " if(thing_correctness[i] & property_correctness[i]):\n", + " correctness_mdm.append(True)\n", + " else: \n", + " correctness_mdm.append(False)\n", + " \n", + " \n", + "# Calculate accuracy\n", + "thing_accuracy = sum(thing_correctness) / mdm_count\n", + "property_accuracy = sum(property_correctness) / mdm_count\n", + "total_accuracy = sum(correctness_mdm) / mdm_count\n", + "\n", + "# Count True/False values\n", + "thing_true_count = thing_correctness.count(True)\n", + "thing_false_count = 0\n", + "for i in range(len(thing_correctness)):\n", + " if mdm_list[i] == \"True\" and thing_correctness[i] == False:\n", + " thing_false_count += 1\n", + "\n", + "property_true_count = property_correctness.count(True)\n", + "property_false_count = property_correctness.count(False)\n", + "total_true_count = correctness_mdm.count(True)\n", + "total_false_count = mdm_count - correctness_mdm.count(True)\n", + "\n", + "# Print results\n", + "print(\"Thing prediction accuracy:\", thing_accuracy)\n", + "print(f\"Correct thing predictions: {thing_true_count}, Incorrect thing predictions: {thing_false_count}\")\n", + "print(\"Property prediction accuracy:\", property_accuracy)\n", + "print(f\"Correct property predictions: {property_true_count}, Incorrect property predictions: {property_false_count}\")\n", + "print(\"total accuracy:\", total_accuracy)\n", + "print(f\"Correct total predictions: {total_true_count}, Incorrect total predictions: {total_false_count}\")\n", + "\n", + "# Create a DataFrame with the results\n", + "dict = {\n", + " 'p_thing': p_thing_list,\n", + " 'p_property': p_property_list,\n", + " 'p_thing_correct': thing_correctness,\n", + " 'p_property_correct': property_correctness\n", + "}\n", + "\n", + "df_pred = pd.DataFrame(dict)\n", + "\n", + "# Read the mode from the JSON file\n", + "with open(\"mode.json\", \"r\") as json_file:\n", + " mode_dict = json.load(json_file)\n", + "\n", + "# Add the model key to the dictionary\n", + "mode_dict[\"model\"] = model_name\n", + "mode_dict[\"train_epochs\"] = train_epochs\n", + "\n", + "# Save the updated dictionary back to the JSON file\n", + "with open(\"mode.json\", \"w\") as json_file:\n", + " json.dump(mode_dict, json_file)\n", + "\n", + "\n", + "# Check if the file exists and is not empty\n", + "if os.path.exists(\"results.json\") and os.path.getsize(\"results.json\") > 0:\n", + " # Read the existing results.json file\n", + " with open(\"results.json\", \"r\") as json_file:\n", + " try:\n", + " results_dict = json.load(json_file)\n", + " except json.JSONDecodeError:\n", + " results_dict = {}\n", + "else:\n", + " results_dict = {}\n", + "\n", + "# Add the new model_checkpoint key with the accuracy values as an object\n", + "\n", + "model_key = model_checkpoint \n", + "\n", + "results_dict[model_key] = {\n", + " \"thing_accuracy\": thing_accuracy,\n", + " \"thing_true\": thing_true_count,\n", + " \"thing_false\": thing_false_count,\n", + " \"property_accuracy\": property_accuracy,\n", + " \"property_true\": property_true_count,\n", + " \"property_false\": property_false_count,\n", + " \"total_accuracy\": total_accuracy,\n", + " \"total_true\": total_true_count,\n", + " \"total_false\": total_false_count \n", + "}\n", + "\n", + "# Save the updated dictionary back to the results.json file\n", + "with open(\"results.json\", \"w\") as json_file:\n", + " json.dump(results_dict, json_file, indent=4)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/translation/t5/1.data_process_concat.ipynb b/translation/t5/1.data_process_concat.ipynb index fafd5a2..c053fac 100644 --- a/translation/t5/1.data_process_concat.ipynb +++ b/translation/t5/1.data_process_concat.ipynb @@ -2,74 +2,18 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loaded data for group 1:\n", - "Train data shape: (6125, 16)\n", - "Valid data shape: (2042, 16)\n", - "Test data shape: (14719, 15)\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "import os\n", - "# Example usage:1\n", - "group_number = 1 # You can change this to any group number you want to load (1, 2, 3, 4, or 5)\n", - "\n", - "# Select the mode for processing\n", - "mode = 'tn_td_unit' # Change this to 'only_td', 'tn_td', etc., as needed\n", - "\n", - "def load_group_data(group_number):\n", - " # Define the folder path based on the group number\n", - " group_folder = os.path.join('../../data_preprocess/dataset', str(group_number))\n", - " \n", - " # Define file paths for train, valid, and test datasets\n", - " train_file_path = os.path.join(group_folder, 'train.csv')\n", - " valid_file_path = os.path.join(group_folder, 'valid.csv')\n", - " test_file_path = os.path.join(group_folder, 'test.csv')\n", - " \n", - " # Check if the files exist\n", - " if not os.path.exists(train_file_path) or not os.path.exists(valid_file_path) or not os.path.exists(test_file_path):\n", - " raise FileNotFoundError(f\"One or more files for group {group_number} do not exist.\")\n", - " \n", - " # Load the CSV files into DataFrames\n", - " train_data = pd.read_csv(train_file_path)\n", - " valid_data = pd.read_csv(valid_file_path)\n", - " test_data = pd.read_csv(test_file_path)\n", - " \n", - " return train_data, valid_data, test_data\n", - "\n", - "\n", - "try:\n", - " train_data, valid_data, test_data = load_group_data(group_number)\n", - " print(f\"Loaded data for group {group_number}:\")\n", - " print(f\"Train data shape: {train_data.shape}\")\n", - " print(f\"Valid data shape: {valid_data.shape}\")\n", - " print(f\"Test data shape: {test_data.shape}\")\n", - "except FileNotFoundError as e:\n", - " print(e)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "313f98ef12eb442bac319282e5ffe5d6", + "model_id": "7d3d34e404f94388a89f0c9b1aa814e6", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Saving the dataset (0/1 shards): 0%| | 0/6125 [00:00{str(row['tag_description'])}\"\n", + " input_str = f\"{row['tag_description']}\"\n", " elif mode == 'tn_td':\n", - " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}\"\n", + " input_str = f\"{row['tag_name']}{row['tag_description']}\"\n", " elif mode == 'tn_td_min_max':\n", - " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{row['min']}{row['max']}\"\n", + " input_str = f\"{row['tag_name']}{row['tag_description']}{row['min']}{row['max']}\"\n", " elif mode == 'td_min_max':\n", - " input_str = f\"{str(row['tag_description'])}{row['min']}{row['max']}\" \n", + " input_str = f\"{row['tag_description']}{row['min']}{row['max']}\"\n", " elif mode == 'td_unit':\n", - " input_str = f\"{str(row['tag_description'])}{str(row['unit'])}\" \n", + " input_str = f\"{row['tag_description']}{row['unit']}\"\n", " elif mode == 'tn_td_unit':\n", - " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{str(row['unit'])}\" \n", + " input_str = f\"{row['tag_name']}{row['tag_description']}{row['unit']}\"\n", + " elif mode == 'td_min_max_unit':\n", + " input_str = f\"{row['tag_description']}{row['min']}{row['max']}{row['unit']}\"\n", " else:\n", " raise ValueError(\"Invalid mode specified\")\n", " \n", @@ -139,38 +100,27 @@ " 'translation': {\n", " 'ships_idx': row['ships_idx'],\n", " 'input': input_str,\n", - " 'thing_property': f\"{str(row['thing'])}{str(row['property'])}\",\n", - " 'answer': f\"{str(row['thing'])} {str(row['property'])}\",\n", + " 'thing_property': f\"{row['thing']}{row['property']}\",\n", + " 'answer': f\"{row['thing']} {row['property']}\",\n", " }\n", " })\n", " except Exception as e:\n", - " print(f\"Error processing row at index {idx}: {row}\")\n", - " print(f\"Exception: {e}\")\n", + " print(f\"Error processing row at index {idx}: {e}\")\n", " return output_list\n", "\n", - "\n", - "# Combine the mode and group information into a single dictionary\n", - "combined_dict = {\n", - " \"mode\": mode,\n", - " \"fold_group\": group_number\n", - "}\n", - "\n", - "# Save the combined dictionary to a JSON file\n", + "train_data, valid_data, test_data = load_group_data(group_number)\n", + "combined_dict = {\"mode\": mode, \"fold_group\": group_number}\n", "with open(\"mode.json\", \"w\") as json_file:\n", " json.dump(combined_dict, json_file)\n", - " \n", - "try:\n", - " # Process the data and create a DatasetDict\n", - " combined_data = DatasetDict({\n", - " 'train': Dataset.from_list(process_df(train_data, mode=mode)),\n", - " 'test': Dataset.from_list(process_df(test_data, mode=mode)),\n", - " 'validation': Dataset.from_list(process_df(valid_data, mode=mode)),\n", - " })\n", - " # Save the DatasetDict to disk\n", - " combined_data.save_to_disk(f\"combined_data/{mode}/{group_number}\")\n", - " print(\"Dataset saved to 'combined_data'\")\n", - "except Exception as e:\n", - " print(f\"Error creating DatasetDict: {e}\")" + "\n", + "combined_data = DatasetDict({\n", + " 'train': Dataset.from_list(process_df(train_data, mode=mode)),\n", + " 'test': Dataset.from_list(process_df(test_data, mode=mode)),\n", + " 'validation': Dataset.from_list(process_df(valid_data, mode=mode)),\n", + "})\n", + "\n", + "combined_data.save_to_disk(f\"combined_data/{mode}/{group_number}\")\n", + "print(\"Dataset saved to 'combined_data'\")\n" ] } ], diff --git a/translation/t5/1.plot/plot_result.ipynb b/translation/t5/1.plot/plot_result.ipynb new file mode 100644 index 0000000..0f66876 --- /dev/null +++ b/translation/t5/1.plot/plot_result.ipynb @@ -0,0 +1,201 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as mpatches\n", + "\n", + "folds = ['Fold 1', 'Fold 2', 'Fold 3', 'Fold 4', 'Fold 5']\n", + "only_desc = [0.9531471841, 0.9102803738, 0.9613453815, 0.9609895338, 0.8950984883]\n", + "plus_u = [0.9545669664, 0.9166261682, 0.9769076305, 0.9722131304, 0.9098859368]\n", + "plus_u_n = [0.9659252248, 0.9168224299, 0.968875502, 0.9814462417, 0.9180027485]\n", + "plus_u_m_m = [0.9602460956, 0.9182242991, 0.96937751, 0.9724072312, 0.8973889143]\n", + "plus_u_sel_n = [0.9645054425, 0.9168224299, 0.9789156627, 0.973358706, 0.952817224]\n", + "\n", + "data = np.array([only_desc, plus_u, plus_u_n, plus_u_m_m, plus_u_sel_n]) * 100\n", + "max_indices = np.argmax(data, axis=0)\n", + "\n", + "x = np.arange(len(folds))\n", + "width = 0.15\n", + "\n", + "colors = plt.cm.Spectral(np.linspace(0, 1, 5))\n", + "fig, ax = plt.subplots(figsize=(12, 7))\n", + "\n", + "rects1 = ax.bar(x - 2 * width, data[0], width, label='Only Desc.', color=colors[0], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[0] == 0 else '')\n", + "rects2 = ax.bar(x - width, data[1], width, label='+U.', color=colors[1], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[1] == 1 else '')\n", + "rects3 = ax.bar(x, data[2], width, label='+U./N.', color=colors[2], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[2] == 2 else '')\n", + "rects4 = ax.bar(x + width, data[3], width, label='+U./M.M.', color=colors[3], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[3] == 3 else '')\n", + "rects5 = ax.bar(x + 2 * width, data[4], width, label='+U./Sel N.', color=colors[4], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[4] == 4 else '')\n", + "\n", + "for i in range(len(folds)):\n", + " ax.bar(x[i] - 2 * width, data[0][i], width, color=colors[0], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 0 else '')\n", + " ax.bar(x[i] - width, data[1][i], width, color=colors[1], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 1 else '')\n", + " ax.bar(x[i], data[2][i], width, color=colors[2], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 2 else '')\n", + " ax.bar(x[i] + width, data[3][i], width, color=colors[3], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 3 else '')\n", + " ax.bar(x[i] + 2 * width, data[4][i], width, color=colors[4], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 4 else '')\n", + "\n", + "desc_mean = np.mean(only_desc) * 100\n", + "plus_u_mean = np.mean(plus_u) * 100\n", + "plus_u_n_mean = np.mean(plus_u_n) * 100\n", + "plus_u_m_m_mean = np.mean(plus_u_m_m) * 100\n", + "sel_n_mean = np.mean(plus_u_sel_n) * 100\n", + "\n", + "ax.axhline(y=desc_mean, color=colors[0], linestyle='--')\n", + "ax.axhline(y=plus_u_mean, color=colors[1], linestyle='--')\n", + "ax.axhline(y=plus_u_n_mean, color=colors[2], linestyle='--')\n", + "ax.axhline(y=plus_u_m_m_mean, color=colors[3], linestyle='--')\n", + "ax.axhline(y=sel_n_mean, color=colors[4], linestyle='--', label='Sel N. Mean')\n", + "\n", + "ax.text(x[1], sel_n_mean + 0.5, f'Max: {sel_n_mean:.2f}%', ha='center', fontsize=20, color='black')\n", + "ax.set_ylim([88, 100])\n", + "\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(folds, fontsize=20)\n", + "\n", + "ax.grid(True, which='both', linestyle='--', linewidth=0.7, alpha=0.7, zorder=1)\n", + "\n", + "ax.tick_params(axis='both', which='major', labelsize=20)\n", + "\n", + "hatch_patch = mpatches.Patch(facecolor='white', edgecolor='black', hatch='//', label='BEST')\n", + "\n", + "legend = ax.legend(handles=[hatch_patch] + ax.get_legend_handles_labels()[0], fontsize=20)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as mpatches\n", + "\n", + "# Fold 및 실험 데이터\n", + "folds = ['Fold 1', 'Fold 2', 'Fold 3', 'Fold 4', 'Fold 5']\n", + "t5_tiny = [0.9479413157, 0.9028037383, 0.9708835341, 0.9652711703, 0.9496106276]\n", + "t5_mini = [0.957406531, 0.9130841121, 0.9764056225, 0.9686013321, 0.9459459459]\n", + "t5_small = [0.9588263133, 0.9196261682, 0.9748995984, 0.9738344434, 0.9454878607]\n", + "bart_base = [0.9597728348, 0.9126168224, 0.9723895582, 0.9714557564, 0.9601465873]\n", + "t5_base = [0.9645054425, 0.9168224299, 0.9789156627, 0.973358706, 0.952817224]\n", + "\n", + "\n", + "# 데이터 준비\n", + "data = np.array([t5_tiny, t5_mini, t5_small, bart_base, t5_base]) * 100\n", + "max_indices = np.argmax(data, axis=0)\n", + "\n", + "# x축 설정\n", + "x = np.arange(len(folds))\n", + "width = 0.15\n", + "\n", + "# 색상 설정\n", + "colors = plt.cm.Spectral(np.linspace(0, 1, 5))\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 7))\n", + "\n", + "# 바 차트 그리기\n", + "rects1 = ax.bar(x - 2 * width, data[0], width, label='T5-Tiny', color=colors[0], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[0] == 0 else '')\n", + "rects2 = ax.bar(x - width, data[1], width, label='T5-Mini', color=colors[1], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[1] == 1 else '')\n", + "rects3 = ax.bar(x, data[2], width, label='T5-Small', color=colors[2], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[2] == 2 else '')\n", + "rects4 = ax.bar(x + width, data[3], width, label='BART-Base', color=colors[3], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[3] == 3 else '')\n", + "rects5 = ax.bar(x + 2 * width, data[4], width, label='T5-Base', color=colors[4], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[4] == 4 else '')\n", + "\n", + "for i in range(len(folds)):\n", + " ax.bar(x[i] - 2 * width, data[0][i], width, color=colors[0], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 0 else '')\n", + " ax.bar(x[i] - width, data[1][i], width, color=colors[1], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 1 else '')\n", + " ax.bar(x[i], data[2][i], width, color=colors[2], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 2 else '')\n", + " ax.bar(x[i] + width, data[3][i], width, color=colors[3], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 3 else '')\n", + " ax.bar(x[i] + 2 * width, data[4][i], width, color=colors[4], edgecolor='black', linewidth=1.5, zorder=3, hatch='//' if max_indices[i] == 4 else '')\n", + "\n", + "# 각 모델의 평균 계산\n", + "t5_tiny_mean = np.mean(t5_tiny) * 100\n", + "t5_mini_mean = np.mean(t5_mini) * 100\n", + "t5_small_mean = np.mean(t5_small) * 100\n", + "bart_base_mean = np.mean(bart_base) * 100\n", + "t5_base_mean = np.mean(t5_base) * 100\n", + "\n", + "# 평균을 점선으로 추가\n", + "ax.axhline(y=t5_tiny_mean, color=colors[0], linestyle='--', label='T5-Tiny Mean')\n", + "ax.axhline(y=t5_mini_mean, color=colors[1], linestyle='--')\n", + "ax.axhline(y=t5_small_mean, color=colors[2], linestyle='--')\n", + "ax.axhline(y=bart_base_mean, color=colors[3], linestyle='--')\n", + "ax.axhline(y=t5_base_mean, color=colors[4], linestyle='--', label='T5-Base Mean')\n", + "\n", + "# 가장 높은 평균값과 가장 낮은 평균값 계산\n", + "max_mean = max(t5_tiny_mean, t5_mini_mean, t5_small_mean, bart_base_mean, t5_base_mean)\n", + "min_mean = min(t5_tiny_mean, t5_mini_mean, t5_small_mean, bart_base_mean, t5_base_mean)\n", + "\n", + "# Fold 2의 중앙 정렬로 Max와 Min 텍스트 추가\n", + "ax.text(x[1], max_mean + 0.5, f'Max: {max_mean:.2f}%', ha='center', fontsize=20, color='black')\n", + "ax.text(x[1], min_mean - 0.8, f'Min: {min_mean:.2f}%', ha='center', fontsize=20, color='black')\n", + "\n", + "# y축 설정\n", + "ax.set_ylim([88, 100])\n", + "\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(folds, fontsize=20)\n", + "\n", + "ax.grid(True, which='both', linestyle='--', linewidth=0.7, alpha=0.7, zorder=1)\n", + "\n", + "ax.tick_params(axis='both', which='major', labelsize=20)\n", + "\n", + "hatch_patch = mpatches.Patch(facecolor='white', edgecolor='black', hatch='//', label='BEST')\n", + "legend = ax.legend(handles=[hatch_patch] + ax.get_legend_handles_labels()[0], fontsize=20, loc='upper right')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/translation/t5/1.plot/training_loss.xlsx 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Excel 파일 로드\n", + "file_path = 'training_loss.xlsx'\n", + "data = pd.read_excel(file_path, header=[0, 1]) # 첫번째 행은 모델, 두번째 행은 속성\n", + "\n", + "# Step이 300 이상인 데이터만 선택\n", + "limit = 300\n", + "\n", + "# 모델별로 Step, Training Loss, Validation Loss 컬럼 추출\n", + "models = list(set([col[0] for col in data.columns if 'Step' in col[1]]))\n", + "\n", + "# 그래프 생성\n", + "fig, ax1 = plt.subplots(figsize=(14, 8))\n", + "\n", + "# 색상 설정 (필요한 색상 수만큼 확장 가능)\n", + "colors = ['#d62728', '#1f77b4', '#2ca02c', '#ff7f0e', '#9467bd', '#17becf', '#bcbd22']\n", + "\n", + "# 각 모델에 대해 Training Loss와 Validation Loss를 플롯\n", + "for i, model in enumerate(models):\n", + " # 모델별로 Step, Training Loss, Validation Loss 데이터 추출\n", + " steps = data[(model, 'Step')]\n", + " training_loss = data[(model, 'Training Loss')]\n", + " validation_loss = data[(model, 'Validation Loss')]\n", + " \n", + " # Step이 300 이상인 데이터만 필터링\n", + " steps_filtered = steps[steps >= limit]\n", + " training_loss_filtered = training_loss[steps >= limit]\n", + " validation_loss_filtered = validation_loss[steps >= limit]\n", + " \n", + " # Training Loss는 실선, Validation Loss는 점선으로 플롯 (각 모델에 대해 다른 색상 사용)\n", + " ax1.plot(steps_filtered, training_loss_filtered, label=f'{model} - Training Loss', color=colors[i % len(colors)], linestyle='-', linewidth=2, zorder=1)\n", + " ax1.plot(steps_filtered, validation_loss_filtered, label=f'{model} - Validation Loss', color=colors[i % len(colors)], linestyle='--', linewidth=2, zorder=1)\n", + " \n", + " # 가장 작은 Validation Loss 지점에 마크 표시 (역삼각형, 투명도 추가, 테두리 추가, zorder 높게 설정)\n", + " min_val_loss_idx = validation_loss_filtered.idxmin()\n", + " min_step = steps_filtered.loc[min_val_loss_idx]\n", + " min_val_loss = validation_loss_filtered.loc[min_val_loss_idx]\n", + " \n", + " # 역삼각형 마커에 테두리 추가 및 zorder 설정\n", + " ax1.scatter(min_step, min_val_loss, color=colors[i % len(colors)], marker='v', s=100, alpha=0.7, edgecolors='black', linewidth=1.5, zorder=3)\n", + "\n", + "# 공통의 범례 항목으로 흰색 역삼각형 표시 추가\n", + "ax1.scatter([], [], color='white', marker='v', s=100, edgecolors='black', linewidth=1.5, label='Min Val Loss', zorder=3)\n", + "\n", + "# X축과 Y축 그리드 추가\n", + "ax1.grid(True, which='both', linestyle='--', linewidth=1.0, alpha=0.7)\n", + "\n", + "# 글자 크기 조정\n", + "ax1.set_xlabel('Step', fontsize=24)\n", + "ax1.set_ylabel('Loss', fontsize=24)\n", + "ax1.tick_params(axis='both', which='major', labelsize=21)\n", + "\n", + "# 범례 설정\n", + "ax1.legend(loc='upper right', fontsize=22)\n", + "\n", + "# 여백 조정\n", + "plt.tight_layout()\n", + "\n", + "# 그래프 표시\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/translation/t5/2.t5_train.ipynb b/translation/t5/2.t5_train.ipynb index ce98df6..24ec52a 100644 --- a/translation/t5/2.t5_train.ipynb +++ b/translation/t5/2.t5_train.ipynb @@ -13,124 +13,6 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The mode has been set to: tn_td_unit\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "d8d70681f4594917b7af4583a4237168", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Map: 0%| | 0/6125 [00:00\", \"\", \"\", \"\"]\n", - "additional_special_tokens = [\"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\"]\n", - "# Add the additional special tokens to the tokenizer\n", - "tokenizer.add_special_tokens({\"additional_special_tokens\": additional_special_tokens})\n", - "\n", - "max_length = 64\n", - "\n", - "def preprocess_function(examples):\n", - " inputs = [ex[\"input\"] for ex in examples['translation']]\n", - " targets = [ex[\"thing_property\"] for ex in examples['translation']]\n", - " # text_target sets the corresponding label to inputs\n", - " # there is no need to create a separate 'labels'\n", - " model_inputs = tokenizer(\n", - " inputs, text_target=targets, max_length=max_length, truncation=True\n", - " )\n", - " return model_inputs\n", - "\n", - "# map method maps preprocess_function to [train, valid, test] datasets of the datasetDict\n", - "tokenized_datasets = split_datasets.map(\n", - " preprocess_function,\n", - " batched=True,\n", - " remove_columns=split_datasets[\"train\"].column_names,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, "outputs": [ { "name": "stderr", @@ -146,44 +28,204 @@ "\n", "
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StepTraining LossValidation LossBleu
1009.0681001.4857020.000000
2000.8864000.21900220.999970
3000.3025000.10010050.318311
4000.1684000.05392252.052581
5002.8123000.1138000.04639453.469249
6000.0845000.04022553.980484
7000.0669000.02678658.959618
8000.0533000.02561252.672595
9000.0426000.01991758.475230
10000.6993000.0382000.02123452.335545
11000.0325000.02168752.400191
12000.0301000.02210659.836717
13000.0268000.02034155.878989
14000.0232000.01919253.356706
15000.4409000.0225000.01818759.718873
16000.0209000.01780662.848480
17000.0172000.01862562.796542
18000.0155000.02074762.920445
19000.0138000.02710968.566983
20000.3321000.0139000.02475765.792365
21000.0116000.02162668.714757
22000.0118000.02554173.793641
23000.0110000.01791571.351766
24000.0105000.02045976.285575
25000.2765000.0097000.01971478.722420
26000.0087000.02632373.858894
27000.0086000.02396778.752238
28000.0085000.02507478.772012
29000.0084000.02206183.261974
30000.2459000.0088000.02208180.992463
35000.22930031000.0071000.02449481.058833

" @@ -199,231 +241,228 @@ "name": "stderr", "output_type": "stream", "text": [ + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", - "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", - " warnings.warn('Was asked to gather along dimension 0, but all '\n", + "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n", + " warnings.warn(\n", "/home/hwang/anaconda3/envs/torch/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", " warnings.warn('Was asked to gather along dimension 0, but all '\n" ] }, { - "data": { - "text/plain": [ - "TrainOutput(global_step=3840, training_loss=0.6754856963952383, metrics={'train_runtime': 2559.4201, 'train_samples_per_second': 191.45, 'train_steps_per_second': 1.5, 'total_flos': 3.156037495934976e+16, 'train_loss': 0.6754856963952383, 'epoch': 80.0})" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 113\u001b[0m\n\u001b[1;32m 97\u001b[0m early_stopping_callback \u001b[38;5;241m=\u001b[39m EarlyStoppingCallback(\n\u001b[1;32m 98\u001b[0m early_stopping_patience\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m5\u001b[39m,\n\u001b[1;32m 99\u001b[0m \n\u001b[1;32m 100\u001b[0m )\n\u001b[1;32m 102\u001b[0m trainer \u001b[38;5;241m=\u001b[39m Seq2SeqTrainer(\n\u001b[1;32m 103\u001b[0m model,\n\u001b[1;32m 104\u001b[0m args,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 110\u001b[0m callbacks\u001b[38;5;241m=\u001b[39m[early_stopping_callback] \n\u001b[1;32m 111\u001b[0m )\n\u001b[0;32m--> 113\u001b[0m \u001b[43mtrainer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 114\u001b[0m os\u001b[38;5;241m.\u001b[39m_exit(\u001b[38;5;241m0\u001b[39m)\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/trainer.py:1859\u001b[0m, in \u001b[0;36mTrainer.train\u001b[0;34m(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)\u001b[0m\n\u001b[1;32m 1857\u001b[0m hf_hub_utils\u001b[38;5;241m.\u001b[39menable_progress_bars()\n\u001b[1;32m 1858\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1859\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43minner_training_loop\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1860\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1861\u001b[0m \u001b[43m \u001b[49m\u001b[43mresume_from_checkpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresume_from_checkpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1862\u001b[0m \u001b[43m 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\u001b[43mfunction\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m should_reduce_batch_size(e):\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/trainer.py:2203\u001b[0m, in \u001b[0;36mTrainer._inner_training_loop\u001b[0;34m(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)\u001b[0m\n\u001b[1;32m 2200\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcontrol \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcallback_handler\u001b[38;5;241m.\u001b[39mon_step_begin(args, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstate, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcontrol)\n\u001b[1;32m 2202\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maccelerator\u001b[38;5;241m.\u001b[39maccumulate(model):\n\u001b[0;32m-> 2203\u001b[0m tr_loss_step \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtraining_step\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2205\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m 2206\u001b[0m args\u001b[38;5;241m.\u001b[39mlogging_nan_inf_filter\n\u001b[1;32m 2207\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_torch_xla_available()\n\u001b[1;32m 2208\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m (torch\u001b[38;5;241m.\u001b[39misnan(tr_loss_step) \u001b[38;5;129;01mor\u001b[39;00m torch\u001b[38;5;241m.\u001b[39misinf(tr_loss_step))\n\u001b[1;32m 2209\u001b[0m ):\n\u001b[1;32m 2210\u001b[0m \u001b[38;5;66;03m# if loss is nan or inf simply add the average of previous logged losses\u001b[39;00m\n\u001b[1;32m 2211\u001b[0m tr_loss \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m tr_loss \u001b[38;5;241m/\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstate\u001b[38;5;241m.\u001b[39mglobal_step \u001b[38;5;241m-\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_globalstep_last_logged)\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/transformers/trainer.py:3147\u001b[0m, in \u001b[0;36mTrainer.training_step\u001b[0;34m(self, model, inputs)\u001b[0m\n\u001b[1;32m 3145\u001b[0m scaled_loss\u001b[38;5;241m.\u001b[39mbackward()\n\u001b[1;32m 3146\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 3147\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maccelerator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\u001b[43mloss\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3149\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m loss\u001b[38;5;241m.\u001b[39mdetach() \u001b[38;5;241m/\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mgradient_accumulation_steps\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/accelerate/accelerator.py:2013\u001b[0m, in \u001b[0;36mAccelerator.backward\u001b[0;34m(self, loss, **kwargs)\u001b[0m\n\u001b[1;32m 2011\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mscaler\u001b[38;5;241m.\u001b[39mscale(loss)\u001b[38;5;241m.\u001b[39mbackward(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 2012\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 2013\u001b[0m \u001b[43mloss\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/torch/_tensor.py:525\u001b[0m, in \u001b[0;36mTensor.backward\u001b[0;34m(self, gradient, retain_graph, create_graph, inputs)\u001b[0m\n\u001b[1;32m 515\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_torch_function_unary(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 516\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m 517\u001b[0m Tensor\u001b[38;5;241m.\u001b[39mbackward,\n\u001b[1;32m 518\u001b[0m (\u001b[38;5;28mself\u001b[39m,),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 523\u001b[0m inputs\u001b[38;5;241m=\u001b[39minputs,\n\u001b[1;32m 524\u001b[0m )\n\u001b[0;32m--> 525\u001b[0m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mautograd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 526\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgradient\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretain_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreate_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minputs\u001b[49m\n\u001b[1;32m 527\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/torch/autograd/__init__.py:267\u001b[0m, in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables, inputs)\u001b[0m\n\u001b[1;32m 262\u001b[0m retain_graph \u001b[38;5;241m=\u001b[39m create_graph\n\u001b[1;32m 264\u001b[0m \u001b[38;5;66;03m# The reason we repeat the same comment below is that\u001b[39;00m\n\u001b[1;32m 265\u001b[0m \u001b[38;5;66;03m# some Python versions print out the first line of a multi-line function\u001b[39;00m\n\u001b[1;32m 266\u001b[0m \u001b[38;5;66;03m# calls in the traceback and some print out the last line\u001b[39;00m\n\u001b[0;32m--> 267\u001b[0m \u001b[43m_engine_run_backward\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 268\u001b[0m \u001b[43m \u001b[49m\u001b[43mtensors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 269\u001b[0m \u001b[43m \u001b[49m\u001b[43mgrad_tensors_\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 270\u001b[0m \u001b[43m \u001b[49m\u001b[43mretain_graph\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 271\u001b[0m \u001b[43m \u001b[49m\u001b[43mcreate_graph\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 272\u001b[0m \u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 273\u001b[0m \u001b[43m \u001b[49m\u001b[43mallow_unreachable\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 274\u001b[0m \u001b[43m \u001b[49m\u001b[43maccumulate_grad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 275\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/torch/lib/python3.10/site-packages/torch/autograd/graph.py:744\u001b[0m, in \u001b[0;36m_engine_run_backward\u001b[0;34m(t_outputs, *args, **kwargs)\u001b[0m\n\u001b[1;32m 742\u001b[0m unregister_hooks \u001b[38;5;241m=\u001b[39m _register_logging_hooks_on_whole_graph(t_outputs)\n\u001b[1;32m 743\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 744\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mVariable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execution_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_backward\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Calls into the C++ engine to run the backward pass\u001b[39;49;00m\n\u001b[1;32m 745\u001b[0m \u001b[43m \u001b[49m\u001b[43mt_outputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m 746\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# Calls into the C++ engine to run the backward pass\u001b[39;00m\n\u001b[1;32m 747\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 748\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m attach_logging_hooks:\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] } ], "source": [ - "import torch\n", - "import os\n", + "from datasets import load_from_disk\n", "import json\n", - "\n", - "# we use the pre-trained t5-base model\n", - "from transformers import AutoModelForSeq2SeqLM\n", - "model_checkpoint = model_name\n", - "model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)\n", - "\n", - "# data collator\n", - "from transformers import DataCollatorForSeq2Seq\n", - "data_collator = DataCollatorForSeq2Seq(tokenizer, model=model)\n", - "\n", - "# evaluation \n", + "from transformers import AutoTokenizer\n", + "import os\n", + "from transformers import AutoModelForSeq2SeqLM, DataCollatorForSeq2Seq, Seq2SeqTrainingArguments, Seq2SeqTrainer, EarlyStoppingCallback\n", "import evaluate\n", - "metric = evaluate.load(\"sacrebleu\")\n", "import numpy as np\n", "\n", + "model_name = \"google/t5-efficient-tiny\"\n", + "# google/t5-efficient-tiny\n", + "# google/t5-efficient-mini\n", + "# t5-small\n", + "# t5-base\n", + "\n", + "train_epochs = 80\n", + "\n", + "with open(\"mode.json\", \"r\") as json_file:\n", + " mode_dict = json.load(json_file)\n", + "\n", + "mode_dict.update({\"model\": model_name, \"train_epochs\": train_epochs})\n", + "fold_group = mode_dict.get(\"fold_group\")\n", + "\n", + "with open(\"mode.json\", \"w\") as json_file:\n", + " json.dump(mode_dict, json_file)\n", + "\n", + "mode = mode_dict.get(\"mode\", \"default_value\")\n", + "file_path = f'combined_data/{mode}/{fold_group}'\n", + "split_datasets = load_from_disk(file_path)\n", + "\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name)\n", + "additional_special_tokens = [\"\", \"\", \"\", \"\", \n", + " \"\", \"\", \"\", \"\", \n", + " \"\", \"\", \"\", \"\", \n", + " \"\", \"\"]\n", + "tokenizer.add_special_tokens({\"additional_special_tokens\": additional_special_tokens})\n", + "\n", + "max_length = 64\n", + "\n", + "def preprocess_function(examples):\n", + " inputs = [ex[\"input\"] for ex in examples['translation']]\n", + " targets = [ex[\"thing_property\"] for ex in examples['translation']]\n", + " return tokenizer(inputs, text_target=targets, max_length=max_length, truncation=True)\n", + "\n", + "tokenized_datasets = split_datasets.map(\n", + " preprocess_function,\n", + " batched=True,\n", + " remove_columns=split_datasets[\"train\"].column_names,\n", + ")\n", + "\n", + "\n", + "model = AutoModelForSeq2SeqLM.from_pretrained(model_name)\n", + "data_collator = DataCollatorForSeq2Seq(tokenizer, model=model)\n", + "metric = evaluate.load(\"sacrebleu\")\n", "\n", "def compute_metrics(eval_preds):\n", " preds, labels = eval_preds\n", - " # In case the model returns more than the prediction logits\n", " if isinstance(preds, tuple):\n", " preds = preds[0]\n", "\n", " decoded_preds = tokenizer.batch_decode(preds, skip_special_tokens=True)\n", - "\n", - " # Replace -100s in the labels as we can't decode them\n", " labels = np.where(labels != -100, labels, tokenizer.pad_token_id)\n", " decoded_labels = tokenizer.batch_decode(labels, skip_special_tokens=True)\n", - "\n", - " # Some simple post-processing\n", " decoded_preds = [pred.strip() for pred in decoded_preds]\n", " decoded_labels = [[label.strip()] for label in decoded_labels]\n", "\n", " result = metric.compute(predictions=decoded_preds, references=decoded_labels)\n", " return {\"bleu\": result[\"score\"]}\n", "\n", - "from transformers import Seq2SeqTrainingArguments\n", - "\n", - "# load environment variables to disable GPU p2p mode for multi-gpu training without p2p mode\n", - "# not required for single-gpu training\n", - "import os\n", "os.environ['NCCL_P2P_DISABLE'] = '1'\n", "os.environ['NCCL_IB_DISABLE'] = '1'\n", "\n", "args = Seq2SeqTrainingArguments(\n", " f\"train_{fold_group}_{model_name}_{mode}_{train_epochs}\",\n", - " evaluation_strategy=\"no\",\n", - " # logging_dir=\"tensorboard-log\",\n", - " # logging_strategy=\"epoch\",\n", - " save_strategy=\"epoch\",\n", - " learning_rate=2e-5,\n", + " save_strategy=\"steps\",\n", + " learning_rate=1e-3,\n", " per_device_train_batch_size=32,\n", " per_device_eval_batch_size=64,\n", " auto_find_batch_size=True,\n", @@ -434,9 +473,21 @@ " predict_with_generate=True,\n", " bf16=True,\n", " push_to_hub=False,\n", + " evaluation_strategy=\"steps\",\n", + " eval_steps=100,\n", + " save_steps=100, \n", + " logging_steps=100, \n", + " load_best_model_at_end=True, \n", + " metric_for_best_model=\"bleu\",\n", + " lr_scheduler_type=\"linear\",\n", + " warmup_steps=100,\n", ")\n", "\n", - "from transformers import Seq2SeqTrainer\n", + "# Define the EarlyStoppingCallback\n", + "early_stopping_callback = EarlyStoppingCallback(\n", + " early_stopping_patience=5,\n", + "\n", + ")\n", "\n", "trainer = Seq2SeqTrainer(\n", " model,\n", @@ -446,10 +497,11 @@ " data_collator=data_collator,\n", " tokenizer=tokenizer,\n", " compute_metrics=compute_metrics,\n", + " callbacks=[early_stopping_callback] \n", ")\n", "\n", - "# Train the model\n", - "trainer.train()" + "trainer.train()\n", + "os._exit(0)\n" ] } ], diff --git a/translation/t5/3.produce_test_predictions.ipynb b/translation/t5/3.produce_test_predictions.ipynb index 6c773c4..27f5002 100644 --- a/translation/t5/3.produce_test_predictions.ipynb +++ b/translation/t5/3.produce_test_predictions.ipynb @@ -15,13 +15,10 @@ "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "The mode has been set to: tn_td_unit t5-base\n", - "Using model checkpoint: train_1_t5-base_tn_td_unit_80/checkpoint-3840\n", - "Columns in df_org:\n", - "['thing', 'property', 'ships_idx', 'tag_name', 'tag_description', 'signal_type', 'min', 'max', 'unit', 'data_type', 'thing_pattern', 'property_pattern', 'pattern', 'MDM', 'org_tag_description']\n" + "12938it [00:07, 1674.63it/s] \n" ] } ], @@ -29,76 +26,35 @@ "import pandas as pd\n", "import os\n", "import json\n", + "from transformers.pipelines.pt_utils import KeyDataset\n", + "from transformers import pipeline\n", + "from tqdm import tqdm\n", + "from transformers import AutoTokenizer\n", + "from datasets import Dataset\n", "\n", - "# Read the mode from the JSON file\n", "with open(\"mode.json\", \"r\") as json_file:\n", " mode_dict = json.load(json_file)\n", "\n", + "mode = mode_dict.get(\"mode\", \"none\")\n", + "model_name = mode_dict.get(\"model\", \"none\")\n", + "train_epochs = mode_dict.get(\"train_epochs\", \"none\")\n", + "fold_group = mode_dict.get(\"fold_group\", \"none\")\n", "\n", - "# Set the mode variable from the JSON content\n", - "mode = mode_dict.get(\"mode\", \"none\") # 'default_value' is a fallback if 'mode' is not found\n", - "model_name = mode_dict.get(\"model\", \"none\") # 'default_value' is a fallback if 'mode' is not found\n", - "train_epochs = mode_dict.get(\"train_epochs\", \"none\") # 'default_value' is a fallback if 'mode' is not found\n", - "fold_group = mode_dict.get(\"fold_group\", \"none\") # 'default_value' is a fallback if 'mode' is not found\n", - "\n", - "print(f\"The mode has been set to: {mode} {model_name}\")\n", - "\n", - "# Define the base directory where checkpoints are stored\n", "base_dir = f\"train_{fold_group}_{model_name}_{mode}_{train_epochs}\"\n", + "checkpoints = [d for d in os.listdir(base_dir) if d.startswith(\"checkpoint-\")]\n", "\n", - "# List all subdirectories in the base directory\n", - "subdirectories = [d for d in os.listdir(base_dir) if os.path.isdir(os.path.join(base_dir, d))]\n", + "model_checkpoint = os.path.join(base_dir, checkpoints[0]) if checkpoints else None\n", "\n", - "# Filter for checkpoint directories that match the pattern \"checkpoint-\"\n", - "checkpoints = [d for d in subdirectories if d.startswith(\"checkpoint-\")]\n", - "\n", - "# Select the latest checkpoint (the one with the highest number)\n", - "if checkpoints:\n", - " latest_checkpoint = checkpoints[0]\n", - " model_checkpoint = os.path.join(base_dir, latest_checkpoint)\n", - " print(f\"Using model checkpoint: {model_checkpoint}\")\n", - "else:\n", - " print(\"No checkpoints were found.\")\n", - " model_checkpoint = None # Handle this case as needed\n", - "\n", - "# Load the data\n", - "data_path = f\"../../data_preprocess/dataset/{fold_group}/test.csv\" # Adjust the CSV file path as necessary\n", + "data_path = f\"../../data_preprocess/dataset/{fold_group}/test.csv\"\n", "\n", "try:\n", " df = pd.read_csv(data_path)\n", "except UnicodeDecodeError:\n", " df = pd.read_csv(data_path, encoding='ISO-8859-1')\n", "\n", - "\n", - "# Drop rows where 'tag_description' is NaN and reset the index\n", "df = df.dropna(subset=['tag_description']).reset_index(drop=True)\n", - "\n", - "# Preserve df_org\n", "df_org = df.copy()\n", - "\n", - "# Print the column names of df_org\n", - "print(\"Columns in df_org:\")\n", - "print(df_org.columns.tolist())\n", - "\n", - "selected_columns = ['thing', 'property', 'tag_description', 'min', 'max', 'MDM', 'pattern']\n", - "df[selected_columns] = df[selected_columns].astype(\"string\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The test_dataset contains 14718 items.\n" - ] - } - ], - "source": [ - "from datasets import Dataset\n", + "df[['thing', 'property', 'tag_description', 'min', 'max', 'MDM', 'pattern']] = df[['thing', 'property', 'tag_description', 'min', 'max', 'MDM', 'pattern']].astype(\"string\")\n", "\n", "def process_df(df, mode='only_td'):\n", " output_list = []\n", @@ -111,11 +67,13 @@ " elif mode == 'tn_td_min_max':\n", " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{row['min']}{row['max']}\"\n", " elif mode == 'td_min_max':\n", - " input_str = f\"{str(row['tag_description'])}{row['min']}{row['max']}\" \n", + " input_str = f\"{str(row['tag_description'])}{row['min']}{row['max']}\"\n", " elif mode == 'td_unit':\n", - " input_str = f\"{str(row['tag_description'])}{str(row['unit'])}\" \n", + " input_str = f\"{str(row['tag_description'])}{str(row['unit'])}\"\n", " elif mode == 'tn_td_unit':\n", - " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{str(row['unit'])}\" \n", + " input_str = f\"{str(row['tag_name'])}{str(row['tag_description'])}{str(row['unit'])}\"\n", + " elif mode == 'td_min_max_unit':\n", + " input_str = f\"{str(row['tag_description'])}{row['min']}{row['max']}{str(row['unit'])}\"\n", " else:\n", " raise ValueError(\"Invalid mode specified\")\n", "\n", @@ -124,136 +82,64 @@ " 'ships_idx': row['ships_idx'],\n", " 'input': input_str,\n", " 'thing_property': f\"{row['thing']}{row['property']}\",\n", - " 'answer_thing': f\"{row['thing']}\",\n", - " 'answer_property': f\"{row['property']}\",\n", - " 'MDM': f\"{row['MDM']}\",\n", + " 'answer_thing': row['thing'],\n", + " 'answer_property': row['property'],\n", + " 'MDM': row['MDM'],\n", " }\n", " })\n", " except Exception as e:\n", - " print(f\"Error processing row: {row}\")\n", - " print(f\"Exception: {e}\")\n", + " print(f\"Error processing row: {e}\")\n", " return output_list\n", "\n", - "\n", - "# Process the DataFrame\n", "processed_data = process_df(df, mode=mode)\n", - "\n", - "# Create a Dataset object\n", "test_dataset = Dataset.from_list(processed_data)\n", "\n", - "# Print the number of items in the dataset\n", - "print(f\"The test_dataset contains {len(test_dataset)} items.\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from transformers.pipelines.pt_utils import KeyDataset\n", - "from transformers import pipeline\n", - "from tqdm import tqdm\n", - "import os\n", - "from transformers import AutoTokenizer\n", - "\n", "tokenizer = AutoTokenizer.from_pretrained(model_name, return_tensors=\"pt\")\n", - "# Define additional special tokens\n", - "# additional_special_tokens = [\"\", \"\", \"\", \"\"]\n", "additional_special_tokens = [\"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\"]\n", - "\n", - "# Add the additional special tokens to the tokenizer\n", "tokenizer.add_special_tokens({\"additional_special_tokens\": additional_special_tokens})\n", - "# tokenizer.add_special_tokens({'sep_token': \"\"})\n", - "\n", "\n", "pipe = pipeline(\"translation_XX_to_YY\", model=model_checkpoint, tokenizer=tokenizer, return_tensors=True, max_length=128, device=0)\n", "\n", - "# check what token-ids the special tokens are\n", - "# tokenizer.encode(\"\")\n", + "thing_start_id = tokenizer.convert_tokens_to_ids(\"\")\n", + "thing_end_id = tokenizer.convert_tokens_to_ids(\"\")\n", + "property_start_id = tokenizer.convert_tokens_to_ids(\"\")\n", + "property_end_id = tokenizer.convert_tokens_to_ids(\"\")\n", "\n", "def extract_seq(tokens, start_value, end_value):\n", - " if start_value not in tokens or end_value not in tokens:\n", - " return None # Or handle this case according to your requirements\n", - " start_id = tokens.index(start_value)\n", - " end_id = tokens.index(end_value)\n", + " if start_value in tokens and end_value in tokens:\n", + " return tokens[tokens.index(start_value)+1:tokens.index(end_value)]\n", + " return None\n", "\n", - " return tokens[start_id+1:end_id]\n", + "def extract_seq_from_output(output):\n", + " tokens = output[0][\"translation_token_ids\"].tolist()\n", + " p_thing = tokenizer.decode(extract_seq(tokens, thing_start_id, thing_end_id)) if thing_start_id in tokens and thing_end_id in tokens else None\n", + " p_property = tokenizer.decode(extract_seq(tokens, property_start_id, property_end_id)) if property_start_id in tokens and property_end_id in tokens else None\n", + " return p_thing, p_property\n", "\n", - "# problem, what if end tokens are not in?\n", - "def process_tensor_output(output):\n", - " tokens = output[0]['translation_token_ids'].tolist()\n", - " thing_seq = extract_seq(tokens, 32100, 32101) # 32100 = , 32101 = \n", - " property_seq = extract_seq(tokens, 32102, 32103) # 32102 = , 32103 = \n", - " p_thing = None\n", - " p_property = None\n", - " if (thing_seq is not None):\n", - " p_thing = tokenizer.decode(thing_seq)\n", - " if (property_seq is not None):\n", - " p_property = tokenizer.decode(property_seq)\n", - " return p_thing, p_property" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "making inference on test set\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "14718it [00:44, 330.24it/s] " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "inference done\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ "p_thing_list = []\n", "p_property_list = []\n", - "print(\"making inference on test set\")\n", + "\n", "for out in tqdm(pipe(KeyDataset(test_dataset[\"translation\"], \"input\"), batch_size=256)):\n", - " p_thing, p_property = process_tensor_output(out)\n", + " p_thing, p_property = extract_seq_from_output(out)\n", " p_thing_list.append(p_thing)\n", - " p_property_list.append(p_property)\n", - "print(\"inference done\")" + " p_property_list.append(p_property)\n" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Thing prediction accuracy: 0.9895314057826521\n", - "Correct thing predictions: 1985, Incorrect thing predictions: 21\n", - "Property prediction accuracy: 0.9661016949152542\n", - "Correct property predictions: 1938, Incorrect property predictions: 12780\n", - "total accuracy: 0.9596211365902293\n", - "Correct total predictions: 1925, Incorrect total predictions: 81\n" + "Thing prediction accuracy: 0.9793861658268438\n", + "Correct thing predictions: 2138, Incorrect thing predictions: 10800\n", + "Property prediction accuracy: 0.9651855245075585\n", + "Correct property predictions: 2107, Incorrect property predictions: 10831\n", + "Total accuracy: 0.9496106275767293\n", + "Correct total predictions: 2073, Incorrect total predictions: 110\n" ] } ], @@ -262,82 +148,54 @@ "answer_property = [item['answer_property'] for item in test_dataset[\"translation\"]]\n", "mdm_list = [item['MDM'] for item in test_dataset[\"translation\"]]\n", "\n", - "mdm_count = 0\n", - "for i in range(len(mdm_list)):\n", - " if(mdm_list[i] == \"True\"):mdm_count = mdm_count + 1 \n", + "mdm_count = sum([1 for mdm in mdm_list if mdm == \"True\"])\n", "\n", "def correctness_test(input, reference, mdm_list):\n", - " assert(len(input) == len(reference))\n", - " correctness_list = []\n", - " for i in range(len(input)):\n", - " if(mdm_list[i] == \"True\"):\n", - " correctness_list.append(input[i] == reference[i])\n", - " else:correctness_list.append(False)\n", - " return correctness_list\n", + " assert len(input) == len(reference)\n", + " return [input[i] == reference[i] if mdm_list[i] == \"True\" else False for i in range(len(input))]\n", "\n", - "# Compare with answer to evaluate correctness\n", "thing_correctness = correctness_test(p_thing_list, answer_thing, mdm_list)\n", "property_correctness = correctness_test(p_property_list, answer_property, mdm_list)\n", "\n", - "correctness_mdm = []\n", - "for i in range(len(mdm_list)):\n", - " if(thing_correctness[i] & property_correctness[i]):\n", - " correctness_mdm.append(True)\n", - " else: \n", - " correctness_mdm.append(False)\n", - " \n", - " \n", - "# Calculate accuracy\n", + "correctness_mdm = [thing_correctness[i] & property_correctness[i] for i in range(len(mdm_list))]\n", + "\n", "thing_accuracy = sum(thing_correctness) / mdm_count\n", "property_accuracy = sum(property_correctness) / mdm_count\n", "total_accuracy = sum(correctness_mdm) / mdm_count\n", "\n", - "# Count True/False values\n", "thing_true_count = thing_correctness.count(True)\n", - "thing_false_count = 0\n", - "for i in range(len(thing_correctness)):\n", - " if mdm_list[i] == \"True\" and thing_correctness[i] == False:\n", - " thing_false_count += 1\n", + "thing_false_count = thing_correctness.count(False)\n", "\n", "property_true_count = property_correctness.count(True)\n", "property_false_count = property_correctness.count(False)\n", - "total_true_count = correctness_mdm.count(True)\n", - "total_false_count = mdm_count - correctness_mdm.count(True)\n", "\n", - "# Print results\n", + "total_true_count = correctness_mdm.count(True)\n", + "total_false_count = mdm_count - total_true_count\n", + "\n", "print(\"Thing prediction accuracy:\", thing_accuracy)\n", "print(f\"Correct thing predictions: {thing_true_count}, Incorrect thing predictions: {thing_false_count}\")\n", "print(\"Property prediction accuracy:\", property_accuracy)\n", "print(f\"Correct property predictions: {property_true_count}, Incorrect property predictions: {property_false_count}\")\n", - "print(\"total accuracy:\", total_accuracy)\n", + "print(\"Total accuracy:\", total_accuracy)\n", "print(f\"Correct total predictions: {total_true_count}, Incorrect total predictions: {total_false_count}\")\n", "\n", - "# Create a DataFrame with the results\n", - "dict = {\n", + "df_pred = pd.DataFrame({\n", " 'p_thing': p_thing_list,\n", " 'p_property': p_property_list,\n", " 'p_thing_correct': thing_correctness,\n", " 'p_property_correct': property_correctness\n", - "}\n", + "})\n", "\n", - "df_pred = pd.DataFrame(dict)\n", - "\n", - "# Read the mode from the JSON file\n", "with open(\"mode.json\", \"r\") as json_file:\n", " mode_dict = json.load(json_file)\n", "\n", - "# Add the model key to the dictionary\n", "mode_dict[\"model\"] = model_name\n", "mode_dict[\"train_epochs\"] = train_epochs\n", "\n", - "# Save the updated dictionary back to the JSON file\n", "with open(\"mode.json\", \"w\") as json_file:\n", " json.dump(mode_dict, json_file)\n", "\n", - "\n", - "# Check if the file exists and is not empty\n", "if os.path.exists(\"results.json\") and os.path.getsize(\"results.json\") > 0:\n", - " # Read the existing results.json file\n", " with open(\"results.json\", \"r\") as json_file:\n", " try:\n", " results_dict = json.load(json_file)\n", @@ -346,9 +204,7 @@ "else:\n", " results_dict = {}\n", "\n", - "# Add the new model_checkpoint key with the accuracy values as an object\n", - "\n", - "model_key = model_checkpoint \n", + "model_key = model_checkpoint\n", "\n", "results_dict[model_key] = {\n", " \"thing_accuracy\": thing_accuracy,\n", @@ -359,31 +215,30 @@ " \"property_false\": property_false_count,\n", " \"total_accuracy\": total_accuracy,\n", " \"total_true\": total_true_count,\n", - " \"total_false\": total_false_count \n", + " \"total_false\": total_false_count\n", "}\n", "\n", - "# Save the updated dictionary back to the results.json file\n", "with open(\"results.json\", \"w\") as json_file:\n", - " json.dump(results_dict, json_file, indent=4)" + " json.dump(results_dict, json_file, indent=4)\n" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Updated data saved to ../0.result/1/test_p.csv\n" + "Updated data saved to ../0.result/5/test_p.csv\n", + "Updated data saved to 0.dresult/td_unit/google/t5-efficient-tiny/5/test_p.csv\n" ] } ], "source": [ "import os\n", "\n", - "# Create a DataFrame with the results\n", "df_pred = pd.DataFrame({\n", " 'p_thing': p_thing_list,\n", " 'p_property': p_property_list,\n", @@ -391,7 +246,6 @@ " 'p_property_correct': property_correctness,\n", "})\n", "\n", - "# Merge predictions with the original DataFrame (df_org)\n", "df_org['p_thing'] = df_pred['p_thing']\n", "df_org['p_property'] = df_pred['p_property']\n", "df_org['p_thing_correct'] = df_pred['p_thing_correct']\n", @@ -404,22 +258,20 @@ "df_org['p_pattern'] = df_org['p_thing'].str.replace(r'\\d', '#', regex=True) + \" \" + df_org['p_property'].str.replace(r'\\d', '#', regex=True)\n", "df_master['master_pattern'] = df_master['thing'] + \" \" + df_master['property']\n", "\n", - "# Create a set of unique patterns from master for fast lookup\n", "master_patterns = set(df_master['master_pattern'])\n", "df_org['p_MDM'] = df_org['p_pattern'].apply(lambda x: x in master_patterns)\n", "\n", - "\n", "output_path = f\"../0.result/{fold_group}/test_p.csv\"\n", - "debug_output_path = f\"0.dresult/{fold_group}/test_p.csv\"\n", + "debug_output_path = f\"0.dresult/{mode}/{model_name}/{fold_group}/test_p.csv\"\n", "\n", - "# 폴더가 없으면 생성\n", "os.makedirs(os.path.dirname(output_path), exist_ok=True)\n", "df_org.to_csv(output_path, index=False, encoding='utf-8-sig')\n", "\n", "os.makedirs(os.path.dirname(debug_output_path), exist_ok=True)\n", "df_org.to_csv(debug_output_path, index=False, encoding='utf-8-sig')\n", "\n", - "print(f\"Updated data saved to {output_path}\")" + "print(f\"Updated data saved to {output_path}\")\n", + "print(f\"Updated data saved to {debug_output_path}\")" ] } ], diff --git a/translation/t5/check_recall.ipynb b/translation/t5/check_recall.ipynb new file mode 100644 index 0000000..43aed7c --- /dev/null +++ b/translation/t5/check_recall.ipynb @@ -0,0 +1,86 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Group 1 Recall: 0.947941\n", + "Group 2 Recall: 0.902804\n", + "Group 3 Recall: 0.970884\n", + "Group 4 Recall: 0.965271\n", + "Group 5 Recall: 0.949611\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# mode, model_name, fold_group 설정\n", + "mode = 'td_unit' # 원하는 모드를 설정하세요\n", + "model_name = 'google/t5-efficient-tiny' # 모델 이름을 설정하세요\n", + "recall_by_group = {}\n", + "\n", + "# 그룹 1부터 5까지 처리\n", + "for group in range(1, 6):\n", + " # CSV 파일 경로 설정 (model_name 포함)\n", + " debug_output_path = f\"0.dresult/{mode}/{model_name}/{group}/test_p.csv\"\n", + " \n", + " # CSV 파일 로드\n", + " try:\n", + " df = pd.read_csv(debug_output_path)\n", + " except FileNotFoundError:\n", + " print(f\"File not found: {debug_output_path}\")\n", + " continue\n", + "\n", + " # 1. MDM이 True인 항목만 필터\n", + " filtered_df = df[df['MDM'] == True].copy()\n", + "\n", + " # 2. p_thing과 p_property가 thing과 property와 같으면 TP로 설정 (loc 사용)\n", + " filtered_df.loc[:, 'TP'] = (filtered_df['p_thing'] == filtered_df['thing']) & (filtered_df['p_property'] == filtered_df['property'])\n", + "\n", + " # 3. TP 갯수와 전체 MDM 갯수로 Recall 계산\n", + " tp_count = filtered_df['TP'].sum()\n", + " total_count = len(filtered_df)\n", + "\n", + " # Recall 계산\n", + " if total_count > 0:\n", + " recall = tp_count / total_count\n", + " else:\n", + " recall = 0\n", + "\n", + " # 그룹별 Recall 저장\n", + " recall_by_group[group] = recall\n", + "\n", + "# Recall 출력\n", + "for group, recall in recall_by_group.items():\n", + " print(f\"Group {group} Recall: {recall:.6f}\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}