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README.md CHANGED
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- license: mit
 
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ base_model: t5-small
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: bic-tl-model
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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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+ # bic-tl-model
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Bleu: 8.6577
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+ - Gen Len: 9.5337
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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: 0.001
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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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+ - num_epochs: 200
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | No log | 1.0 | 11 | 2.8101 | 0.4192 | 9.6933 |
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+ | No log | 2.0 | 22 | 2.4413 | 0.5091 | 9.8896 |
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+ | No log | 3.0 | 33 | 2.1777 | 0.5912 | 9.9939 |
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+ | No log | 4.0 | 44 | 1.9031 | 0.7161 | 9.7791 |
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+ | No log | 5.0 | 55 | 1.6391 | 0.5207 | 9.6564 |
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+ | No log | 6.0 | 66 | 1.4137 | 0.8978 | 9.6135 |
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+ | No log | 7.0 | 77 | 1.1997 | 1.1307 | 9.6135 |
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+ | No log | 8.0 | 88 | 1.0269 | 1.4498 | 9.638 |
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+ | No log | 9.0 | 99 | 0.8257 | 1.9986 | 9.7423 |
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+ | No log | 10.0 | 110 | 0.6801 | 2.1989 | 9.4417 |
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+ | No log | 11.0 | 121 | 0.5581 | 2.5771 | 9.6687 |
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+ | No log | 12.0 | 132 | 0.4526 | 2.7754 | 9.5951 |
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+ | No log | 13.0 | 143 | 0.3840 | 3.3881 | 9.4479 |
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+ | No log | 14.0 | 154 | 0.3263 | 3.767 | 9.589 |
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+ | No log | 15.0 | 165 | 0.2600 | 4.1389 | 9.5399 |
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+ | No log | 16.0 | 176 | 0.1992 | 4.6642 | 9.4785 |
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+ | No log | 17.0 | 187 | 0.1552 | 5.3166 | 9.4724 |
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+ | No log | 18.0 | 198 | 0.1273 | 5.5679 | 9.5153 |
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+ | No log | 19.0 | 209 | 0.0899 | 6.497 | 9.4724 |
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+ | No log | 20.0 | 220 | 0.0848 | 6.5853 | 9.6074 |
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+ | No log | 21.0 | 231 | 0.0564 | 7.0719 | 9.4847 |
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+ | No log | 22.0 | 242 | 0.0583 | 7.1069 | 9.5521 |
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+ | No log | 23.0 | 253 | 0.0379 | 7.6262 | 9.5521 |
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+ | No log | 24.0 | 264 | 0.0362 | 7.2957 | 9.5031 |
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+ | No log | 25.0 | 275 | 0.0341 | 8.1019 | 9.5767 |
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+ | No log | 26.0 | 286 | 0.0320 | 8.1036 | 9.6012 |
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+ | No log | 27.0 | 297 | 0.0166 | 8.3655 | 9.5337 |
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+ | No log | 28.0 | 308 | 0.0190 | 8.1402 | 9.5337 |
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+ | No log | 29.0 | 319 | 0.0123 | 8.2834 | 9.5399 |
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+ | No log | 30.0 | 330 | 0.0104 | 8.4782 | 9.5337 |
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+ | No log | 31.0 | 341 | 0.0092 | 8.1852 | 9.5337 |
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+ | No log | 32.0 | 352 | 0.0086 | 8.5036 | 9.5276 |
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+ | No log | 33.0 | 363 | 0.0057 | 8.3105 | 9.5337 |
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+ | No log | 34.0 | 374 | 0.0049 | 8.3607 | 9.5337 |
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+ | No log | 35.0 | 385 | 0.0055 | 8.3729 | 9.5399 |
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+ | No log | 36.0 | 396 | 0.0070 | 8.5598 | 9.546 |
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+ | No log | 37.0 | 407 | 0.0088 | 8.1822 | 9.5276 |
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+ | No log | 38.0 | 418 | 0.0061 | 8.2457 | 9.5276 |
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+ | No log | 39.0 | 429 | 0.0054 | 8.4559 | 9.5276 |
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+ | No log | 40.0 | 440 | 0.0052 | 8.6455 | 9.5399 |
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+ | No log | 41.0 | 451 | 0.0065 | 8.6455 | 9.5399 |
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+ | No log | 42.0 | 462 | 0.0017 | 8.6577 | 9.5337 |
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+ | No log | 43.0 | 473 | 0.0035 | 8.638 | 9.5337 |
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+ | No log | 44.0 | 484 | 0.0022 | 8.6577 | 9.5337 |
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+ | No log | 45.0 | 495 | 0.0016 | 8.5791 | 9.5337 |
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+ | 0.7779 | 46.0 | 506 | 0.0025 | 8.5791 | 9.5337 |
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+ | 0.7779 | 47.0 | 517 | 0.0014 | 8.5791 | 9.5337 |
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+ | 0.7779 | 48.0 | 528 | 0.0015 | 8.5791 | 9.5337 |
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+ | 0.7779 | 49.0 | 539 | 0.0022 | 8.4109 | 9.5337 |
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+ | 0.7779 | 50.0 | 550 | 0.0014 | 8.591 | 9.5337 |
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+ | 0.7779 | 51.0 | 561 | 0.0021 | 8.6455 | 9.5399 |
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+ | 0.7779 | 52.0 | 572 | 0.0011 | 8.6577 | 9.5337 |
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+ | 0.7779 | 53.0 | 583 | 0.0010 | 8.6577 | 9.5337 |
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+ | 0.7779 | 54.0 | 594 | 0.0016 | 8.6036 | 9.5337 |
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+ | 0.7779 | 55.0 | 605 | 0.0009 | 8.6083 | 9.5337 |
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+ | 0.7779 | 56.0 | 616 | 0.0007 | 8.6577 | 9.5337 |
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+ | 0.7779 | 57.0 | 627 | 0.0009 | 8.6577 | 9.5337 |
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+ | 0.7779 | 58.0 | 638 | 0.0035 | 8.653 | 9.5337 |
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+ | 0.7779 | 59.0 | 649 | 0.0007 | 8.6577 | 9.5337 |
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+ | 0.7779 | 60.0 | 660 | 0.0003 | 8.6577 | 9.5337 |
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+ | 0.7779 | 61.0 | 671 | 0.0004 | 8.6577 | 9.5337 |
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+ | 0.7779 | 62.0 | 682 | 0.0007 | 8.6577 | 9.5337 |
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+ | 0.7779 | 64.0 | 704 | 0.0003 | 8.6577 | 9.5337 |
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+ | 0.7779 | 65.0 | 715 | 0.0004 | 8.6577 | 9.5337 |
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+ | 0.7779 | 66.0 | 726 | 0.0002 | 8.6577 | 9.5337 |
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+ | 0.7779 | 67.0 | 737 | 0.0002 | 8.6577 | 9.5337 |
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+ | 0.7779 | 68.0 | 748 | 0.0003 | 8.6577 | 9.5337 |
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+ | 0.7779 | 69.0 | 759 | 0.0007 | 8.6211 | 9.5337 |
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+ | 0.7779 | 70.0 | 770 | 0.0006 | 8.6577 | 9.5337 |
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+ | 0.7779 | 71.0 | 781 | 0.0001 | 8.6577 | 9.5337 |
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+ | 0.7779 | 72.0 | 792 | 0.0001 | 8.6577 | 9.5337 |
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+ | 0.7779 | 73.0 | 803 | 0.0010 | 8.6577 | 9.5337 |
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+ | 0.7779 | 74.0 | 814 | 0.0002 | 8.6577 | 9.5337 |
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+ | 0.7779 | 75.0 | 825 | 0.0005 | 8.6577 | 9.5337 |
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+ | 0.7779 | 76.0 | 836 | 0.0005 | 8.6577 | 9.5337 |
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+ | 0.7779 | 77.0 | 847 | 0.0006 | 8.6577 | 9.5337 |
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+ | 0.7779 | 78.0 | 858 | 0.0003 | 8.6577 | 9.5337 |
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+ | 0.7779 | 79.0 | 869 | 0.0001 | 8.6577 | 9.5337 |
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+ | 0.7779 | 80.0 | 880 | 0.0001 | 8.6577 | 9.5337 |
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+ | 0.7779 | 81.0 | 891 | 0.0001 | 8.6577 | 9.5337 |
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+ | 0.7779 | 82.0 | 902 | 0.0001 | 8.6577 | 9.5337 |
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184
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223
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224
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225
+ | 0.0123 | 172.0 | 1892 | 0.0000 | 8.6577 | 9.5337 |
226
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227
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228
+ | 0.0123 | 175.0 | 1925 | 0.0000 | 8.6577 | 9.5337 |
229
+ | 0.0123 | 176.0 | 1936 | 0.0000 | 8.6577 | 9.5337 |
230
+ | 0.0123 | 177.0 | 1947 | 0.0000 | 8.6577 | 9.5337 |
231
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232
+ | 0.0123 | 179.0 | 1969 | 0.0000 | 8.6577 | 9.5337 |
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234
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235
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236
+ | 0.0053 | 183.0 | 2013 | 0.0000 | 8.6577 | 9.5337 |
237
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238
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248
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+ | 0.0053 | 200.0 | 2200 | 0.0000 | 8.6577 | 9.5337 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_name_or_path": "t5-small",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 2048,
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+ "d_kv": 64,
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+ "d_model": 512,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "relu",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "relu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": false,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 6,
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+ "num_heads": 8,
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+ "num_layers": 6,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "task_specific_params": {
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+ "summarization": {
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+ "early_stopping": true,
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+ "length_penalty": 2.0,
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+ "max_length": 200,
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+ "min_length": 30,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "prefix": "summarize: "
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+ },
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+ "translation_en_to_de": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to German: "
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