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bart-large-cnn-finetuned-prompt_generation

Text2Text Generation
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PyTorch
TensorBoard
Safetensors
bart
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Files changed (8) hide show
  1. README.md +109 -109
  2. config.json +1 -1
  3. generation_config.json +1 -1
  4. pytorch_model.bin +2 -2
  5. special_tokens_map.json +7 -1
  6. tokenizer.json +5 -5
  7. tokenizer_config.json +5 -6
  8. training_args.bin +2 -2
README.md CHANGED
@@ -13,11 +13,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # bart-large-cnn-finetuned-prompt_generation
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- This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8970
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- - Map: 0.7119
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- - Ndcg@10: 0.8169
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  ## Model description
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@@ -37,8 +37,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-07
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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
@@ -48,111 +48,111 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Map | Ndcg@10 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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- | No log | 1.0 | 4 | 3.0497 | 0.2577 | 0.4542 |
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- | No log | 2.0 | 8 | 3.0207 | 0.2563 | 0.4531 |
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- | No log | 3.0 | 12 | 2.9998 | 0.2563 | 0.4531 |
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- | No log | 4.0 | 16 | 2.9299 | 0.2563 | 0.4531 |
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- | No log | 5.0 | 20 | 2.8971 | 0.2577 | 0.4542 |
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- | No log | 6.0 | 24 | 2.8682 | 0.2577 | 0.4542 |
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- | No log | 7.0 | 28 | 2.8340 | 0.2577 | 0.4542 |
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- | No log | 8.0 | 32 | 2.7096 | 0.2577 | 0.4542 |
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- | No log | 9.0 | 36 | 2.6644 | 0.2577 | 0.4542 |
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- | No log | 10.0 | 40 | 2.6361 | 0.2577 | 0.4542 |
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- | No log | 11.0 | 44 | 2.6026 | 0.2577 | 0.4542 |
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- | No log | 12.0 | 48 | 2.5729 | 0.2577 | 0.4542 |
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- | No log | 13.0 | 52 | 2.5500 | 0.2577 | 0.4542 |
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- | No log | 14.0 | 56 | 2.5108 | 0.2577 | 0.4542 |
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- | No log | 15.0 | 60 | 2.4473 | 0.2577 | 0.4542 |
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- | No log | 16.0 | 64 | 2.3941 | 0.2708 | 0.4626 |
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- | No log | 17.0 | 68 | 2.3544 | 0.3326 | 0.5333 |
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- | No log | 18.0 | 72 | 2.3221 | 0.3326 | 0.5333 |
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- | No log | 19.0 | 76 | 2.2970 | 0.3326 | 0.5333 |
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- | No log | 20.0 | 80 | 2.2762 | 0.3813 | 0.5865 |
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- | No log | 21.0 | 84 | 2.2560 | 0.3813 | 0.5865 |
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- | No log | 22.0 | 88 | 2.2345 | 0.4076 | 0.6002 |
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- | No log | 23.0 | 92 | 2.2151 | 0.4076 | 0.6002 |
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- | No log | 24.0 | 96 | 2.1989 | 0.4076 | 0.6002 |
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- | No log | 25.0 | 100 | 2.1844 | 0.4076 | 0.6002 |
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- | No log | 26.0 | 104 | 2.1719 | 0.4076 | 0.6002 |
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- | No log | 27.0 | 108 | 2.1597 | 0.4076 | 0.6002 |
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- | No log | 28.0 | 112 | 2.1485 | 0.4076 | 0.6002 |
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- | No log | 29.0 | 116 | 2.1376 | 0.4076 | 0.6002 |
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- | No log | 30.0 | 120 | 2.1268 | 0.4076 | 0.6002 |
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- | No log | 31.0 | 124 | 2.1169 | 0.4076 | 0.6002 |
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- | No log | 32.0 | 128 | 2.1075 | 0.4076 | 0.6002 |
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- | No log | 33.0 | 132 | 2.0984 | 0.4076 | 0.6002 |
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- | No log | 34.0 | 136 | 2.0899 | 0.4751 | 0.6664 |
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- | No log | 35.0 | 140 | 2.0816 | 0.4751 | 0.6664 |
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- | No log | 36.0 | 144 | 2.0739 | 0.4751 | 0.6664 |
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- | No log | 37.0 | 148 | 2.0661 | 0.4751 | 0.6664 |
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- | No log | 38.0 | 152 | 2.0581 | 0.4751 | 0.6664 |
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- | No log | 39.0 | 156 | 2.0504 | 0.4751 | 0.6664 |
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- | No log | 40.0 | 160 | 2.0436 | 0.4751 | 0.6664 |
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- | No log | 41.0 | 164 | 2.0362 | 0.5569 | 0.7126 |
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- | No log | 42.0 | 168 | 2.0293 | 0.5569 | 0.7126 |
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- | No log | 43.0 | 172 | 2.0226 | 0.5569 | 0.7126 |
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- | No log | 44.0 | 176 | 2.0162 | 0.5569 | 0.7126 |
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- | No log | 45.0 | 180 | 2.0103 | 0.6018 | 0.7455 |
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- | No log | 46.0 | 184 | 2.0039 | 0.7313 | 0.8296 |
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- | No log | 47.0 | 188 | 1.9983 | 0.7313 | 0.8296 |
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- | No log | 48.0 | 192 | 1.9931 | 0.7313 | 0.8296 |
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- | No log | 49.0 | 196 | 1.9883 | 0.7313 | 0.8296 |
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- | No log | 50.0 | 200 | 1.9832 | 0.7313 | 0.8296 |
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- | No log | 51.0 | 204 | 1.9787 | 0.7313 | 0.8296 |
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- | No log | 52.0 | 208 | 1.9751 | 0.7313 | 0.8296 |
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- | No log | 53.0 | 212 | 1.9710 | 0.7313 | 0.8296 |
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- | No log | 54.0 | 216 | 1.9660 | 0.7313 | 0.8296 |
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- | No log | 55.0 | 220 | 1.9627 | 0.7313 | 0.8296 |
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- | No log | 56.0 | 224 | 1.9586 | 0.7313 | 0.8296 |
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- | No log | 57.0 | 228 | 1.9550 | 0.7313 | 0.8296 |
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- | No log | 58.0 | 232 | 1.9514 | 0.7313 | 0.8296 |
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- | No log | 59.0 | 236 | 1.9480 | 0.7313 | 0.8296 |
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- | No log | 60.0 | 240 | 1.9448 | 0.7313 | 0.8296 |
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- | No log | 61.0 | 244 | 1.9421 | 0.7313 | 0.8296 |
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- | No log | 62.0 | 248 | 1.9386 | 0.7313 | 0.8296 |
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- | No log | 63.0 | 252 | 1.9358 | 0.7313 | 0.8296 |
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- | No log | 64.0 | 256 | 1.9330 | 0.7313 | 0.8296 |
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- | No log | 65.0 | 260 | 1.9309 | 0.7313 | 0.8296 |
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- | No log | 66.0 | 264 | 1.9284 | 0.7313 | 0.8296 |
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- | No log | 67.0 | 268 | 1.9266 | 0.7313 | 0.8296 |
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- | No log | 68.0 | 272 | 1.9246 | 0.7313 | 0.8296 |
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- | No log | 69.0 | 276 | 1.9225 | 0.7313 | 0.8296 |
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- | No log | 70.0 | 280 | 1.9207 | 0.7313 | 0.8296 |
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- | No log | 71.0 | 284 | 1.9195 | 0.7313 | 0.8296 |
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- | No log | 72.0 | 288 | 1.9174 | 0.7680 | 0.8517 |
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- | No log | 73.0 | 292 | 1.9158 | 0.7680 | 0.8517 |
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- | No log | 74.0 | 296 | 1.9142 | 0.7680 | 0.8517 |
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- | No log | 75.0 | 300 | 1.9124 | 0.7680 | 0.8517 |
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- | No log | 76.0 | 304 | 1.9112 | 0.7680 | 0.8517 |
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- | No log | 77.0 | 308 | 1.9095 | 0.7680 | 0.8517 |
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- | No log | 78.0 | 312 | 1.9083 | 0.7680 | 0.8517 |
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- | No log | 79.0 | 316 | 1.9071 | 0.7119 | 0.8169 |
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- | No log | 80.0 | 320 | 1.9059 | 0.7119 | 0.8169 |
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- | No log | 81.0 | 324 | 1.9053 | 0.7119 | 0.8169 |
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- | No log | 82.0 | 328 | 1.9044 | 0.7119 | 0.8169 |
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- | No log | 83.0 | 332 | 1.9035 | 0.7119 | 0.8169 |
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- | No log | 84.0 | 336 | 1.9028 | 0.7119 | 0.8169 |
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- | No log | 85.0 | 340 | 1.9019 | 0.7119 | 0.8169 |
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- | No log | 86.0 | 344 | 1.9013 | 0.7119 | 0.8169 |
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- | No log | 87.0 | 348 | 1.9006 | 0.7119 | 0.8169 |
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- | No log | 88.0 | 352 | 1.9001 | 0.7119 | 0.8169 |
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- | No log | 89.0 | 356 | 1.8997 | 0.7119 | 0.8169 |
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- | No log | 90.0 | 360 | 1.8989 | 0.7119 | 0.8169 |
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- | No log | 91.0 | 364 | 1.8989 | 0.7119 | 0.8169 |
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- | No log | 92.0 | 368 | 1.8982 | 0.7119 | 0.8169 |
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- | No log | 93.0 | 372 | 1.8983 | 0.7119 | 0.8169 |
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- | No log | 94.0 | 376 | 1.8979 | 0.7119 | 0.8169 |
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- | No log | 95.0 | 380 | 1.8980 | 0.7680 | 0.8517 |
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- | No log | 96.0 | 384 | 1.8973 | 0.7119 | 0.8169 |
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- | No log | 97.0 | 388 | 1.8973 | 0.7680 | 0.8517 |
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- | No log | 98.0 | 392 | 1.8971 | 0.7119 | 0.8169 |
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- | No log | 99.0 | 396 | 1.8968 | 0.7119 | 0.8169 |
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- | No log | 100.0 | 400 | 1.8970 | 0.7119 | 0.8169 |
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  ### Framework versions
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- - Transformers 4.34.0
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.14.5
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  - Tokenizers 0.14.1
 
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  # bart-large-cnn-finetuned-prompt_generation
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+ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8294
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+ - Map: 0.4211
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+ - Ndcg@10: 0.6088
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-07
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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  | Training Loss | Epoch | Step | Validation Loss | Map | Ndcg@10 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | No log | 1.0 | 2 | 3.6607 | 0.3400 | 0.4882 |
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+ | No log | 2.0 | 4 | 3.6575 | 0.3 | 0.4282 |
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+ | No log | 3.0 | 6 | 3.6485 | 0.3183 | 0.5016 |
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+ | No log | 4.0 | 8 | 3.6279 | 0.3183 | 0.4899 |
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+ | No log | 5.0 | 10 | 3.6199 | 0.3183 | 0.4899 |
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+ | No log | 6.0 | 12 | 3.6119 | 0.3123 | 0.5016 |
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+ | No log | 7.0 | 14 | 3.6076 | 0.3323 | 0.5299 |
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+ | No log | 8.0 | 16 | 3.5413 | 0.3523 | 0.5733 |
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+ | No log | 9.0 | 18 | 3.5274 | 0.345 | 0.5333 |
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+ | No log | 10.0 | 20 | 3.5184 | 0.3200 | 0.4816 |
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+ | No log | 11.0 | 22 | 3.5041 | 0.3200 | 0.5016 |
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+ | No log | 12.0 | 24 | 3.4935 | 0.3133 | 0.4899 |
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+ | No log | 13.0 | 26 | 3.4858 | 0.31 | 0.4951 |
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+ | No log | 14.0 | 28 | 3.4763 | 0.31 | 0.5068 |
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+ | No log | 15.0 | 30 | 3.3761 | 0.34 | 0.5434 |
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+ | No log | 16.0 | 32 | 3.3314 | 0.345 | 0.5751 |
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+ | No log | 17.0 | 34 | 3.3103 | 0.3283 | 0.5468 |
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+ | No log | 18.0 | 36 | 3.2951 | 0.3233 | 0.5151 |
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+ | No log | 19.0 | 38 | 3.2811 | 0.3233 | 0.5034 |
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+ | No log | 20.0 | 40 | 3.2708 | 0.3167 | 0.4834 |
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+ | No log | 21.0 | 42 | 3.2625 | 0.3233 | 0.4834 |
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+ | No log | 22.0 | 44 | 3.2471 | 0.3133 | 0.4834 |
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+ | No log | 23.0 | 46 | 3.2308 | 0.3067 | 0.5034 |
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+ | No log | 24.0 | 48 | 3.2171 | 0.2867 | 0.4634 |
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+ | No log | 25.0 | 50 | 3.2068 | 0.2933 | 0.4751 |
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+ | No log | 26.0 | 52 | 3.1972 | 0.2890 | 0.4803 |
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+ | No log | 27.0 | 54 | 3.1892 | 0.2757 | 0.4252 |
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+ | No log | 28.0 | 56 | 3.1812 | 0.2823 | 0.4252 |
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+ | No log | 29.0 | 58 | 3.1681 | 0.309 | 0.4769 |
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+ | No log | 30.0 | 60 | 3.1422 | 0.3223 | 0.4969 |
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+ | No log | 31.0 | 62 | 3.1154 | 0.309 | 0.4769 |
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+ | No log | 32.0 | 64 | 3.0906 | 0.369 | 0.5539 |
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+ | No log | 33.0 | 66 | 3.0680 | 0.3850 | 0.5486 |
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+ | No log | 34.0 | 68 | 3.0476 | 0.3567 | 0.5139 |
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+ | No log | 35.0 | 70 | 3.0301 | 0.3347 | 0.4909 |
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+ | No log | 36.0 | 72 | 3.0159 | 0.2861 | 0.4581 |
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+ | No log | 37.0 | 74 | 3.0040 | 0.2887 | 0.4678 |
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+ | No log | 38.0 | 76 | 2.9937 | 0.3003 | 0.4374 |
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+ | No log | 39.0 | 78 | 2.9842 | 0.2723 | 0.3950 |
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+ | No log | 40.0 | 80 | 2.9759 | 0.3052 | 0.4695 |
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+ | No log | 41.0 | 82 | 2.9686 | 0.2867 | 0.4459 |
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+ | No log | 42.0 | 84 | 2.9622 | 0.3099 | 0.4764 |
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+ | No log | 43.0 | 86 | 2.9565 | 0.3141 | 0.5019 |
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+ | No log | 44.0 | 88 | 2.9512 | 0.325 | 0.5204 |
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+ | No log | 45.0 | 90 | 2.9462 | 0.3050 | 0.5004 |
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+ | No log | 46.0 | 92 | 2.9416 | 0.325 | 0.5151 |
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+ | No log | 47.0 | 94 | 2.9372 | 0.3183 | 0.4951 |
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+ | No log | 48.0 | 96 | 2.9325 | 0.318 | 0.5235 |
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+ | No log | 49.0 | 98 | 2.9278 | 0.318 | 0.5269 |
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+ | No log | 50.0 | 100 | 2.9228 | 0.3155 | 0.5380 |
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+ | No log | 51.0 | 102 | 2.9178 | 0.2795 | 0.4823 |
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+ | No log | 52.0 | 104 | 2.9127 | 0.3329 | 0.5655 |
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+ | No log | 53.0 | 106 | 2.9081 | 0.3127 | 0.5455 |
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+ | No log | 54.0 | 108 | 2.9037 | 0.3195 | 0.5642 |
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+ | No log | 55.0 | 110 | 2.8995 | 0.3145 | 0.5442 |
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+ | No log | 56.0 | 112 | 2.8957 | 0.3245 | 0.5759 |
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+ | No log | 57.0 | 114 | 2.8922 | 0.3798 | 0.6383 |
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+ | No log | 58.0 | 116 | 2.8886 | 0.3788 | 0.6405 |
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+ | No log | 59.0 | 118 | 2.8854 | 0.3920 | 0.6502 |
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+ | No log | 60.0 | 120 | 2.8822 | 0.3920 | 0.6376 |
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+ | No log | 61.0 | 122 | 2.8793 | 0.4255 | 0.6796 |
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+ | No log | 62.0 | 124 | 2.8766 | 0.4288 | 0.7089 |
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+ | No log | 63.0 | 126 | 2.8738 | 0.4340 | 0.7048 |
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+ | No log | 64.0 | 128 | 2.8712 | 0.4273 | 0.6889 |
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+ | No log | 65.0 | 130 | 2.8688 | 0.4173 | 0.7067 |
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+ | No log | 66.0 | 132 | 2.8665 | 0.4233 | 0.6802 |
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+ | No log | 67.0 | 134 | 2.8642 | 0.3973 | 0.6309 |
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+ | No log | 68.0 | 136 | 2.8620 | 0.4107 | 0.6574 |
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+ | No log | 69.0 | 138 | 2.8599 | 0.4173 | 0.6774 |
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+ | No log | 70.0 | 140 | 2.8580 | 0.3907 | 0.6109 |
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+ | No log | 71.0 | 142 | 2.8560 | 0.4407 | 0.6596 |
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+ | No log | 72.0 | 144 | 2.8542 | 0.4007 | 0.6196 |
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+ | No log | 73.0 | 146 | 2.8525 | 0.4207 | 0.6396 |
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+ | No log | 74.0 | 148 | 2.8508 | 0.4173 | 0.6596 |
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+ | No log | 75.0 | 150 | 2.8491 | 0.4107 | 0.6303 |
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+ | No log | 76.0 | 152 | 2.8476 | 0.3973 | 0.5986 |
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+ | No log | 77.0 | 154 | 2.8460 | 0.4040 | 0.6186 |
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+ | No log | 78.0 | 156 | 2.8447 | 0.414 | 0.6747 |
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+ | No log | 79.0 | 158 | 2.8433 | 0.4167 | 0.6673 |
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+ | No log | 80.0 | 160 | 2.8420 | 0.4457 | 0.6813 |
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+ | No log | 81.0 | 162 | 2.8409 | 0.4257 | 0.6512 |
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+ | No log | 82.0 | 164 | 2.8397 | 0.4607 | 0.7073 |
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+ | No log | 83.0 | 166 | 2.8387 | 0.4257 | 0.6048 |
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+ | No log | 84.0 | 168 | 2.8377 | 0.4207 | 0.6048 |
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+ | No log | 85.0 | 170 | 2.8366 | 0.369 | 0.5248 |
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+ | No log | 86.0 | 172 | 2.8357 | 0.4111 | 0.5971 |
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+ | No log | 87.0 | 174 | 2.8350 | 0.389 | 0.5448 |
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+ | No log | 88.0 | 176 | 2.8342 | 0.4028 | 0.5771 |
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+ | No log | 89.0 | 178 | 2.8334 | 0.374 | 0.5448 |
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+ | No log | 90.0 | 180 | 2.8328 | 0.374 | 0.5565 |
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+ | No log | 91.0 | 182 | 2.8321 | 0.4078 | 0.5971 |
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+ | No log | 92.0 | 184 | 2.8316 | 0.4011 | 0.5888 |
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+ | No log | 93.0 | 186 | 2.8311 | 0.374 | 0.5565 |
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+ | No log | 94.0 | 188 | 2.8308 | 0.3811 | 0.5688 |
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+ | No log | 95.0 | 190 | 2.8304 | 0.374 | 0.5565 |
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+ | No log | 96.0 | 192 | 2.8302 | 0.3911 | 0.5888 |
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+ | No log | 97.0 | 194 | 2.8300 | 0.3611 | 0.5488 |
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+ | No log | 98.0 | 196 | 2.8297 | 0.414 | 0.5848 |
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+ | No log | 99.0 | 198 | 2.8295 | 0.3878 | 0.5888 |
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+ | No log | 100.0 | 200 | 2.8294 | 0.4211 | 0.6088 |
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  ### Framework versions
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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  - Tokenizers 0.14.1
config.json CHANGED
@@ -64,7 +64,7 @@
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  }
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  },
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  "torch_dtype": "float32",
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- "transformers_version": "4.34.0",
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  "use_cache": true,
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  "vocab_size": 50264
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  }
 
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.34.1",
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  "use_cache": true,
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  "vocab_size": 50264
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  }
generation_config.json CHANGED
@@ -11,5 +11,5 @@
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  "no_repeat_ngram_size": 3,
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  "num_beams": 4,
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  "pad_token_id": 1,
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- "transformers_version": "4.34.0"
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  }
 
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  "no_repeat_ngram_size": 3,
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  "num_beams": 4,
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  "pad_token_id": 1,
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+ "transformers_version": "4.34.1"
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  }
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special_tokens_map.json CHANGED
@@ -2,7 +2,13 @@
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  "eos_token": "</s>",
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- "mask_token": "<mask>",
 
 
 
 
 
 
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  "pad_token": "<pad>",
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  "sep_token": "</s>",
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  "unk_token": "<unk>"
 
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  "bos_token": "<s>",
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  "cls_token": "<s>",
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  "eos_token": "</s>",
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+ "mask_token": {
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+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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  "pad_token": "<pad>",
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  "sep_token": "</s>",
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  "unk_token": "<unk>"
tokenizer.json CHANGED
@@ -14,7 +14,7 @@
14
  "single_word": false,
15
  "lstrip": false,
16
  "rstrip": false,
17
- "normalized": false,
18
  "special": true
19
  },
20
  {
@@ -23,7 +23,7 @@
23
  "single_word": false,
24
  "lstrip": false,
25
  "rstrip": false,
26
- "normalized": false,
27
  "special": true
28
  },
29
  {
@@ -32,7 +32,7 @@
32
  "single_word": false,
33
  "lstrip": false,
34
  "rstrip": false,
35
- "normalized": false,
36
  "special": true
37
  },
38
  {
@@ -41,7 +41,7 @@
41
  "single_word": false,
42
  "lstrip": false,
43
  "rstrip": false,
44
- "normalized": false,
45
  "special": true
46
  },
47
  {
@@ -50,7 +50,7 @@
50
  "single_word": false,
51
  "lstrip": true,
52
  "rstrip": false,
53
- "normalized": false,
54
  "special": true
55
  }
56
  ],
 
14
  "single_word": false,
15
  "lstrip": false,
16
  "rstrip": false,
17
+ "normalized": true,
18
  "special": true
19
  },
20
  {
 
23
  "single_word": false,
24
  "lstrip": false,
25
  "rstrip": false,
26
+ "normalized": true,
27
  "special": true
28
  },
29
  {
 
32
  "single_word": false,
33
  "lstrip": false,
34
  "rstrip": false,
35
+ "normalized": true,
36
  "special": true
37
  },
38
  {
 
41
  "single_word": false,
42
  "lstrip": false,
43
  "rstrip": false,
44
+ "normalized": true,
45
  "special": true
46
  },
47
  {
 
50
  "single_word": false,
51
  "lstrip": true,
52
  "rstrip": false,
53
+ "normalized": true,
54
  "special": true
55
  }
56
  ],
tokenizer_config.json CHANGED
@@ -4,7 +4,7 @@
4
  "0": {
5
  "content": "<s>",
6
  "lstrip": false,
7
- "normalized": false,
8
  "rstrip": false,
9
  "single_word": false,
10
  "special": true
@@ -12,7 +12,7 @@
12
  "1": {
13
  "content": "<pad>",
14
  "lstrip": false,
15
- "normalized": false,
16
  "rstrip": false,
17
  "single_word": false,
18
  "special": true
@@ -20,7 +20,7 @@
20
  "2": {
21
  "content": "</s>",
22
  "lstrip": false,
23
- "normalized": false,
24
  "rstrip": false,
25
  "single_word": false,
26
  "special": true
@@ -28,7 +28,7 @@
28
  "3": {
29
  "content": "<unk>",
30
  "lstrip": false,
31
- "normalized": false,
32
  "rstrip": false,
33
  "single_word": false,
34
  "special": true
@@ -36,13 +36,12 @@
36
  "50264": {
37
  "content": "<mask>",
38
  "lstrip": true,
39
- "normalized": false,
40
  "rstrip": false,
41
  "single_word": false,
42
  "special": true
43
  }
44
  },
45
- "additional_special_tokens": [],
46
  "bos_token": "<s>",
47
  "clean_up_tokenization_spaces": true,
48
  "cls_token": "<s>",
 
4
  "0": {
5
  "content": "<s>",
6
  "lstrip": false,
7
+ "normalized": true,
8
  "rstrip": false,
9
  "single_word": false,
10
  "special": true
 
12
  "1": {
13
  "content": "<pad>",
14
  "lstrip": false,
15
+ "normalized": true,
16
  "rstrip": false,
17
  "single_word": false,
18
  "special": true
 
20
  "2": {
21
  "content": "</s>",
22
  "lstrip": false,
23
+ "normalized": true,
24
  "rstrip": false,
25
  "single_word": false,
26
  "special": true
 
28
  "3": {
29
  "content": "<unk>",
30
  "lstrip": false,
31
+ "normalized": true,
32
  "rstrip": false,
33
  "single_word": false,
34
  "special": true
 
36
  "50264": {
37
  "content": "<mask>",
38
  "lstrip": true,
39
+ "normalized": true,
40
  "rstrip": false,
41
  "single_word": false,
42
  "special": true
43
  }
44
  },
 
45
  "bos_token": "<s>",
46
  "clean_up_tokenization_spaces": true,
47
  "cls_token": "<s>",
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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- size 4283
 
1
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+ size 4728