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hai2131
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abte-bert

Token Classification
Transformers
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bert
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hai2131/abte-bert

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Files changed (9) hide show
  1. README.md +162 -0
  2. config.json +35 -0
  3. model.safetensors +3 -0
  4. runs/May01_03-46-39_0fb7ae286e2b/events.out.tfevents.1746071247.0fb7ae286e2b.504.0 +3 -0
  5. special_tokens_map.json +7 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +56 -0
  8. training_args.bin +3 -0
  9. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: abte-bert
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # abte-bert
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+
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+ This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4438
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+ - Accuracy: 0.9133
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+ - F1: 0.9133
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 128
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.5077 | 1.0 | 24 | 0.3039 | 0.9166 | 0.9166 |
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+ | 0.2475 | 2.0 | 48 | 0.2232 | 0.9173 | 0.9173 |
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+ | 0.2026 | 3.0 | 72 | 0.1930 | 0.9208 | 0.9208 |
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+ | 0.1792 | 4.0 | 96 | 0.1744 | 0.9234 | 0.9234 |
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+ | 0.1646 | 5.0 | 120 | 0.1671 | 0.9231 | 0.9231 |
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+ | 0.155 | 6.0 | 144 | 0.1628 | 0.9229 | 0.9229 |
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+ | 0.1483 | 7.0 | 168 | 0.1604 | 0.9266 | 0.9266 |
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+ | 0.1426 | 8.0 | 192 | 0.1588 | 0.9266 | 0.9266 |
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+ | 0.1383 | 9.0 | 216 | 0.1607 | 0.9264 | 0.9264 |
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+ | 0.1347 | 10.0 | 240 | 0.1649 | 0.9241 | 0.9241 |
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+ | 0.1317 | 11.0 | 264 | 0.1651 | 0.9245 | 0.9245 |
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+ | 0.1277 | 12.0 | 288 | 0.1684 | 0.9242 | 0.9242 |
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+ | 0.1256 | 13.0 | 312 | 0.1735 | 0.9250 | 0.9250 |
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+ | 0.1239 | 14.0 | 336 | 0.1794 | 0.9280 | 0.9280 |
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+ | 0.1223 | 15.0 | 360 | 0.1837 | 0.9235 | 0.9235 |
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+ | 0.1208 | 16.0 | 384 | 0.1848 | 0.9228 | 0.9228 |
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+ | 0.119 | 17.0 | 408 | 0.1842 | 0.9265 | 0.9265 |
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+ | 0.1184 | 18.0 | 432 | 0.1895 | 0.9244 | 0.9244 |
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+ | 0.1174 | 19.0 | 456 | 0.1996 | 0.9201 | 0.9201 |
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+ | 0.117 | 20.0 | 480 | 0.1946 | 0.9220 | 0.9220 |
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+ | 0.1154 | 21.0 | 504 | 0.2086 | 0.9211 | 0.9211 |
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+ | 0.1141 | 22.0 | 528 | 0.2132 | 0.9212 | 0.9212 |
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+ | 0.1135 | 23.0 | 552 | 0.2282 | 0.9228 | 0.9228 |
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+ | 0.1123 | 24.0 | 576 | 0.2226 | 0.9214 | 0.9214 |
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+ | 0.1121 | 25.0 | 600 | 0.2274 | 0.9225 | 0.9225 |
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+ | 0.1109 | 26.0 | 624 | 0.2251 | 0.9224 | 0.9224 |
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+ | 0.111 | 27.0 | 648 | 0.2419 | 0.9186 | 0.9186 |
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+ | 0.1113 | 28.0 | 672 | 0.2555 | 0.9200 | 0.9200 |
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+ | 0.1104 | 29.0 | 696 | 0.2439 | 0.9206 | 0.9206 |
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+ | 0.1097 | 30.0 | 720 | 0.2613 | 0.9187 | 0.9187 |
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+ | 0.1092 | 31.0 | 744 | 0.2519 | 0.9195 | 0.9195 |
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+ | 0.1096 | 32.0 | 768 | 0.2539 | 0.9208 | 0.9208 |
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+ | 0.1092 | 33.0 | 792 | 0.2647 | 0.9231 | 0.9231 |
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+ | 0.1082 | 34.0 | 816 | 0.2677 | 0.9220 | 0.9220 |
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+ | 0.1082 | 35.0 | 840 | 0.2693 | 0.9222 | 0.9222 |
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+ | 0.1087 | 36.0 | 864 | 0.2818 | 0.9201 | 0.9201 |
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+ | 0.1082 | 37.0 | 888 | 0.2773 | 0.9206 | 0.9206 |
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+ | 0.1076 | 38.0 | 912 | 0.2882 | 0.9187 | 0.9187 |
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+ | 0.1067 | 39.0 | 936 | 0.2776 | 0.9199 | 0.9199 |
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+ | 0.1062 | 40.0 | 960 | 0.2850 | 0.9217 | 0.9217 |
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+ | 0.1065 | 41.0 | 984 | 0.3098 | 0.9188 | 0.9188 |
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+ | 0.1061 | 42.0 | 1008 | 0.3019 | 0.9191 | 0.9191 |
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+ | 0.1065 | 43.0 | 1032 | 0.2936 | 0.9175 | 0.9175 |
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+ | 0.1065 | 44.0 | 1056 | 0.3130 | 0.9197 | 0.9197 |
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+ | 0.1056 | 45.0 | 1080 | 0.3119 | 0.9170 | 0.9170 |
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+ | 0.1056 | 46.0 | 1104 | 0.3273 | 0.9171 | 0.9171 |
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+ | 0.1057 | 47.0 | 1128 | 0.3195 | 0.9200 | 0.9200 |
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+ | 0.1056 | 48.0 | 1152 | 0.3272 | 0.9171 | 0.9171 |
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+ | 0.1046 | 49.0 | 1176 | 0.3276 | 0.9187 | 0.9187 |
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+ | 0.1049 | 50.0 | 1200 | 0.3476 | 0.9152 | 0.9152 |
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+ | 0.1043 | 51.0 | 1224 | 0.3510 | 0.9171 | 0.9171 |
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+ | 0.1045 | 52.0 | 1248 | 0.3377 | 0.9177 | 0.9177 |
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+ | 0.1046 | 53.0 | 1272 | 0.3232 | 0.9200 | 0.9200 |
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+ | 0.1045 | 54.0 | 1296 | 0.3487 | 0.9147 | 0.9147 |
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+ | 0.104 | 55.0 | 1320 | 0.3422 | 0.9183 | 0.9183 |
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+ | 0.1041 | 56.0 | 1344 | 0.3609 | 0.9182 | 0.9182 |
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+ | 0.1036 | 57.0 | 1368 | 0.3602 | 0.9172 | 0.9172 |
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+ | 0.1041 | 58.0 | 1392 | 0.3627 | 0.9163 | 0.9163 |
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+ | 0.1038 | 59.0 | 1416 | 0.3672 | 0.9132 | 0.9132 |
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+ | 0.1044 | 60.0 | 1440 | 0.3597 | 0.9163 | 0.9163 |
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+ | 0.103 | 61.0 | 1464 | 0.3795 | 0.9163 | 0.9163 |
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+ | 0.104 | 62.0 | 1488 | 0.3635 | 0.9169 | 0.9169 |
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+ | 0.1034 | 63.0 | 1512 | 0.3777 | 0.9146 | 0.9146 |
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+ | 0.1033 | 64.0 | 1536 | 0.3772 | 0.9161 | 0.9161 |
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+ | 0.1037 | 65.0 | 1560 | 0.3925 | 0.9140 | 0.9140 |
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+ | 0.103 | 66.0 | 1584 | 0.3923 | 0.9157 | 0.9157 |
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+ | 0.1027 | 67.0 | 1608 | 0.3711 | 0.9178 | 0.9178 |
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+ | 0.103 | 68.0 | 1632 | 0.4019 | 0.9156 | 0.9156 |
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+ | 0.1032 | 69.0 | 1656 | 0.3967 | 0.9134 | 0.9134 |
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+ | 0.1026 | 70.0 | 1680 | 0.4072 | 0.9141 | 0.9141 |
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+ | 0.1029 | 71.0 | 1704 | 0.4065 | 0.9136 | 0.9136 |
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+ | 0.1023 | 72.0 | 1728 | 0.3933 | 0.9171 | 0.9171 |
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+ | 0.1024 | 73.0 | 1752 | 0.4131 | 0.9109 | 0.9109 |
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+ | 0.1029 | 74.0 | 1776 | 0.4001 | 0.9150 | 0.9150 |
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+ | 0.1018 | 75.0 | 1800 | 0.4171 | 0.9132 | 0.9132 |
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+ | 0.1022 | 76.0 | 1824 | 0.4151 | 0.9144 | 0.9144 |
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+ | 0.1025 | 77.0 | 1848 | 0.4194 | 0.9149 | 0.9149 |
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+ | 0.1022 | 78.0 | 1872 | 0.4238 | 0.9132 | 0.9132 |
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+ | 0.1021 | 79.0 | 1896 | 0.4328 | 0.9133 | 0.9133 |
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+ | 0.102 | 80.0 | 1920 | 0.4241 | 0.9113 | 0.9113 |
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+ | 0.1023 | 81.0 | 1944 | 0.4214 | 0.9146 | 0.9146 |
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+ | 0.1023 | 82.0 | 1968 | 0.4324 | 0.9136 | 0.9136 |
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+ | 0.1021 | 83.0 | 1992 | 0.4251 | 0.9153 | 0.9153 |
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+ | 0.1017 | 84.0 | 2016 | 0.4366 | 0.9138 | 0.9138 |
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+ | 0.1017 | 85.0 | 2040 | 0.4405 | 0.9135 | 0.9135 |
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+ | 0.1021 | 86.0 | 2064 | 0.4337 | 0.9156 | 0.9156 |
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+ | 0.1019 | 87.0 | 2088 | 0.4343 | 0.9130 | 0.9130 |
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+ | 0.1021 | 88.0 | 2112 | 0.4360 | 0.9145 | 0.9145 |
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+ | 0.1018 | 89.0 | 2136 | 0.4425 | 0.9143 | 0.9143 |
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+ | 0.1014 | 90.0 | 2160 | 0.4438 | 0.9131 | 0.9131 |
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+ | 0.1017 | 91.0 | 2184 | 0.4409 | 0.9128 | 0.9128 |
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+ | 0.1018 | 92.0 | 2208 | 0.4402 | 0.9136 | 0.9136 |
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+ | 0.1015 | 93.0 | 2232 | 0.4432 | 0.9131 | 0.9131 |
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+ | 0.1016 | 94.0 | 2256 | 0.4453 | 0.9126 | 0.9126 |
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+ | 0.1017 | 95.0 | 2280 | 0.4495 | 0.9139 | 0.9139 |
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+ | 0.1016 | 96.0 | 2304 | 0.4465 | 0.9135 | 0.9135 |
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+ | 0.1019 | 97.0 | 2328 | 0.4433 | 0.9134 | 0.9134 |
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+ | 0.1016 | 98.0 | 2352 | 0.4439 | 0.9128 | 0.9128 |
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+ | 0.102 | 99.0 | 2376 | 0.4432 | 0.9134 | 0.9134 |
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+ | 0.1014 | 100.0 | 2400 | 0.4438 | 0.9133 | 0.9133 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.51.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.1
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+ - Tokenizers 0.21.1
config.json ADDED
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+ {
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "layer_norm_eps": 1e-12,
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+ "position_embedding_type": "absolute",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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