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GQA_BERT_legal_SQuAD_complete_augmented_100

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  1. README.md +154 -0
  2. config.json +25 -0
  3. emissions.csv +2 -0
  4. model.safetensors +3 -0
  5. runs/Mar05_19-39-29_hcdsgpu2/events.out.tfevents.1709667575.hcdsgpu2.264260.0 +3 -0
  6. special_tokens_map.json +37 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +57 -0
  9. training_args.bin +3 -0
  10. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: GQA_BERT_legal_SQuAD_complete_augmented_100
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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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+ # GQA_BERT_legal_SQuAD_complete_augmented_100
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+
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+ This model was trained from scratch on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.6841
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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: 2e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 4 | 4.8352 |
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+ | No log | 2.0 | 8 | 3.4409 |
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+ | No log | 3.0 | 12 | 3.6369 |
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+ | No log | 4.0 | 16 | 3.2600 |
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+ | No log | 5.0 | 20 | 3.2678 |
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+ | No log | 6.0 | 24 | 3.1261 |
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+ | No log | 7.0 | 28 | 3.0776 |
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+ | No log | 8.0 | 32 | 3.4121 |
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+ | No log | 9.0 | 36 | 3.0790 |
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+ | No log | 10.0 | 40 | 3.5971 |
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+ | No log | 11.0 | 44 | 3.1533 |
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+ | No log | 12.0 | 48 | 3.7990 |
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+ | No log | 13.0 | 52 | 3.2755 |
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+ | No log | 14.0 | 56 | 3.8245 |
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+ | No log | 15.0 | 60 | 3.4527 |
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+ | No log | 16.0 | 64 | 4.0580 |
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+ | No log | 17.0 | 68 | 3.6116 |
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+ | No log | 18.0 | 72 | 3.9138 |
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+ | No log | 19.0 | 76 | 4.0031 |
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+ | No log | 20.0 | 80 | 4.1856 |
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+ | No log | 21.0 | 84 | 4.1580 |
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+ | No log | 22.0 | 88 | 4.3333 |
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+ | No log | 23.0 | 92 | 4.2944 |
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+ | No log | 24.0 | 96 | 4.3074 |
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+ | No log | 25.0 | 100 | 4.3867 |
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+ | No log | 26.0 | 104 | 4.2258 |
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+ | No log | 27.0 | 108 | 4.2723 |
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+ | No log | 28.0 | 112 | 4.4969 |
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+ | No log | 29.0 | 116 | 4.4819 |
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+ | No log | 30.0 | 120 | 4.1625 |
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+ | No log | 31.0 | 124 | 4.5112 |
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+ | No log | 32.0 | 128 | 4.3003 |
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+ | No log | 33.0 | 132 | 4.4011 |
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+ | No log | 34.0 | 136 | 4.6108 |
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+ | No log | 35.0 | 140 | 4.2671 |
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+ | No log | 36.0 | 144 | 4.3319 |
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+ | No log | 37.0 | 148 | 4.5173 |
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+ | No log | 38.0 | 152 | 4.4828 |
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+ | No log | 39.0 | 156 | 4.3398 |
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+ | No log | 40.0 | 160 | 4.5599 |
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+ | No log | 41.0 | 164 | 4.5079 |
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+ | No log | 42.0 | 168 | 4.3601 |
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+ | No log | 43.0 | 172 | 4.7855 |
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+ | No log | 44.0 | 176 | 4.8217 |
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+ | No log | 45.0 | 180 | 4.5692 |
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+ | No log | 46.0 | 184 | 4.7096 |
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+ | No log | 47.0 | 188 | 4.8228 |
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+ | No log | 48.0 | 192 | 4.6793 |
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+ | No log | 49.0 | 196 | 4.6744 |
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+ | No log | 50.0 | 200 | 4.7416 |
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+ | No log | 51.0 | 204 | 4.7015 |
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+ | No log | 52.0 | 208 | 4.6479 |
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+ | No log | 53.0 | 212 | 4.6961 |
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+ | No log | 54.0 | 216 | 4.7815 |
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+ | No log | 55.0 | 220 | 4.7514 |
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+ | No log | 56.0 | 224 | 4.7310 |
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+ | No log | 57.0 | 228 | 4.5515 |
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+ | No log | 58.0 | 232 | 4.6005 |
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+ | No log | 59.0 | 236 | 4.7957 |
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+ | No log | 60.0 | 240 | 4.7604 |
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+ | No log | 61.0 | 244 | 4.7037 |
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+ | No log | 62.0 | 248 | 4.7540 |
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+ | No log | 63.0 | 252 | 4.7630 |
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+ | No log | 64.0 | 256 | 4.7281 |
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+ | No log | 65.0 | 260 | 4.7321 |
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+ | No log | 66.0 | 264 | 5.0290 |
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+ | No log | 67.0 | 268 | 5.0174 |
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+ | No log | 68.0 | 272 | 4.7174 |
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+ | No log | 69.0 | 276 | 4.7124 |
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+ | No log | 70.0 | 280 | 5.0249 |
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+ | No log | 71.0 | 284 | 5.2405 |
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+ | No log | 72.0 | 288 | 4.9117 |
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+ | No log | 73.0 | 292 | 4.6521 |
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+ | No log | 74.0 | 296 | 4.5833 |
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+ | No log | 75.0 | 300 | 4.6557 |
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+ | No log | 76.0 | 304 | 4.7986 |
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+ | No log | 77.0 | 308 | 4.7681 |
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+ | No log | 78.0 | 312 | 4.6936 |
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+ | No log | 79.0 | 316 | 4.7246 |
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+ | No log | 80.0 | 320 | 4.7499 |
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+ | No log | 81.0 | 324 | 4.7952 |
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+ | No log | 82.0 | 328 | 4.7904 |
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+ | No log | 83.0 | 332 | 4.8331 |
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+ | No log | 84.0 | 336 | 4.7800 |
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+ | No log | 85.0 | 340 | 4.7050 |
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+ | No log | 86.0 | 344 | 4.6630 |
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+ | No log | 87.0 | 348 | 4.6151 |
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+ | No log | 88.0 | 352 | 4.6077 |
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+ | No log | 89.0 | 356 | 4.6099 |
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+ | No log | 90.0 | 360 | 4.6171 |
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+ | No log | 91.0 | 364 | 4.6443 |
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+ | No log | 92.0 | 368 | 4.6769 |
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+ | No log | 93.0 | 372 | 4.7061 |
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+ | No log | 94.0 | 376 | 4.7072 |
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+ | No log | 95.0 | 380 | 4.7116 |
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+ | No log | 96.0 | 384 | 4.6984 |
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+ | No log | 97.0 | 388 | 4.6914 |
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+ | No log | 98.0 | 392 | 4.6863 |
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+ | No log | 99.0 | 396 | 4.6839 |
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+ | No log | 100.0 | 400 | 4.6841 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.7
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+ - Tokenizers 0.15.0
config.json ADDED
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+ "BertForQuestionAnswering"
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30000
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+ }
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