--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer metrics: - bleu model-index: - name: t5-small_finetuned_Informal_text-to-Formal_text results: [] --- # t5-small_finetuned_Informal_text-to-Formal_text This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 10.375 - Bleu: 0.0 - Gen Len: 0.0 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.01 - train_batch_size: 12 - eval_batch_size: 12 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 100 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:------:|:---------------:|:------:|:-------:| | 9.3669 | 1.0 | 5229 | 9.4520 | 0.0023 | 19.0 | | 10.2293 | 2.0 | 10458 | 10.2588 | 0.1433 | 6.0 | | 10.3618 | 3.0 | 15687 | 10.3648 | 0.0 | 0.0 | | 10.375 | 4.0 | 20916 | 10.375 | 0.0 | 0.0 | | 10.375 | 5.0 | 26145 | 10.375 | 0.0 | 0.0 | | 10.375 | 6.0 | 31374 | 10.375 | 0.0 | 0.0 | | 10.375 | 7.0 | 36603 | 10.375 | 0.0 | 0.0 | | 10.375 | 8.0 | 41832 | 10.375 | 0.0 | 0.0 | | 10.375 | 9.0 | 47061 | 10.375 | 0.0 | 0.0 | | 10.375 | 10.0 | 52290 | 10.375 | 0.0 | 0.0 | | 10.375 | 11.0 | 57519 | 10.375 | 0.0 | 0.0 | | 10.375 | 12.0 | 62748 | 10.375 | 0.0 | 0.0 | | 10.375 | 13.0 | 67977 | 10.375 | 0.0 | 0.0 | | 10.375 | 14.0 | 73206 | 10.375 | 0.0 | 0.0 | | 10.375 | 15.0 | 78435 | 10.375 | 0.0 | 0.0 | | 10.375 | 16.0 | 83664 | 10.375 | 0.0 | 0.0 | | 10.375 | 17.0 | 88893 | 10.375 | 0.0 | 0.0 | | 10.375 | 18.0 | 94122 | 10.375 | 0.0 | 0.0 | | 10.375 | 19.0 | 99351 | 10.375 | 0.0 | 0.0 | | 10.375 | 20.0 | 104580 | 10.375 | 0.0 | 0.0 | | 10.375 | 21.0 | 109809 | 10.375 | 0.0 | 0.0 | | 10.375 | 22.0 | 115038 | 10.375 | 0.0 | 0.0 | | 10.375 | 23.0 | 120267 | 10.375 | 0.0 | 0.0 | | 10.375 | 24.0 | 125496 | 10.375 | 0.0 | 0.0 | | 10.375 | 25.0 | 130725 | 10.375 | 0.0 | 0.0 | | 10.375 | 26.0 | 135954 | 10.375 | 0.0 | 0.0 | | 10.375 | 27.0 | 141183 | 10.375 | 0.0 | 0.0 | | 10.375 | 28.0 | 146412 | 10.375 | 0.0 | 0.0 | | 10.375 | 29.0 | 151641 | 10.375 | 0.0 | 0.0 | | 10.375 | 30.0 | 156870 | 10.375 | 0.0 | 0.0 | | 10.375 | 31.0 | 162099 | 10.375 | 0.0 | 0.0 | | 10.375 | 32.0 | 167328 | 10.375 | 0.0 | 0.0 | | 10.375 | 33.0 | 172557 | 10.375 | 0.0 | 0.0 | | 10.375 | 34.0 | 177786 | 10.375 | 0.0 | 0.0 | | 10.375 | 35.0 | 183015 | 10.375 | 0.0 | 0.0 | | 10.375 | 36.0 | 188244 | 10.375 | 0.0 | 0.0 | | 10.375 | 37.0 | 193473 | 10.375 | 0.0 | 0.0 | | 10.375 | 38.0 | 198702 | 10.375 | 0.0 | 0.0 | | 10.375 | 39.0 | 203931 | 10.375 | 0.0 | 0.0 | | 10.375 | 40.0 | 209160 | 10.375 | 0.0 | 0.0 | | 10.375 | 41.0 | 214389 | 10.375 | 0.0 | 0.0 | | 10.375 | 42.0 | 219618 | 10.375 | 0.0 | 0.0 | | 10.375 | 43.0 | 224847 | 10.375 | 0.0 | 0.0 | | 10.375 | 44.0 | 230076 | 10.375 | 0.0 | 0.0 | | 10.375 | 45.0 | 235305 | 10.375 | 0.0 | 0.0 | | 10.375 | 46.0 | 240534 | 10.375 | 0.0 | 0.0 | | 10.375 | 47.0 | 245763 | 10.375 | 0.0 | 0.0 | | 10.375 | 48.0 | 250992 | 10.375 | 0.0 | 0.0 | | 10.375 | 49.0 | 256221 | 10.375 | 0.0 | 0.0 | | 10.375 | 50.0 | 261450 | 10.375 | 0.0 | 0.0 | | 10.375 | 51.0 | 266679 | 10.375 | 0.0 | 0.0 | | 10.375 | 52.0 | 271908 | 10.375 | 0.0 | 0.0 | | 10.375 | 53.0 | 277137 | 10.375 | 0.0 | 0.0 | | 10.375 | 54.0 | 282366 | 10.375 | 0.0 | 0.0 | | 10.375 | 55.0 | 287595 | 10.375 | 0.0 | 0.0 | | 10.375 | 56.0 | 292824 | 10.375 | 0.0 | 0.0 | | 10.375 | 57.0 | 298053 | 10.375 | 0.0 | 0.0 | | 10.375 | 58.0 | 303282 | 10.375 | 0.0 | 0.0 | | 10.375 | 59.0 | 308511 | 10.375 | 0.0 | 0.0 | | 10.375 | 60.0 | 313740 | 10.375 | 0.0 | 0.0 | | 10.375 | 61.0 | 318969 | 10.375 | 0.0 | 0.0 | | 10.375 | 62.0 | 324198 | 10.375 | 0.0 | 0.0 | | 10.375 | 63.0 | 329427 | 10.375 | 0.0 | 0.0 | | 10.375 | 64.0 | 334656 | 10.375 | 0.0 | 0.0 | | 10.375 | 65.0 | 339885 | 10.375 | 0.0 | 0.0 | | 10.375 | 66.0 | 345114 | 10.375 | 0.0 | 0.0 | | 10.375 | 67.0 | 350343 | 10.375 | 0.0 | 0.0 | | 10.375 | 68.0 | 355572 | 10.375 | 0.0 | 0.0 | | 10.375 | 69.0 | 360801 | 10.375 | 0.0 | 0.0 | | 10.375 | 70.0 | 366030 | 10.375 | 0.0 | 0.0 | | 10.375 | 71.0 | 371259 | 10.375 | 0.0 | 0.0 | | 10.375 | 72.0 | 376488 | 10.375 | 0.0 | 0.0 | | 10.375 | 73.0 | 381717 | 10.375 | 0.0 | 0.0 | | 10.375 | 74.0 | 386946 | 10.375 | 0.0 | 0.0 | | 10.375 | 75.0 | 392175 | 10.375 | 0.0 | 0.0 | | 10.375 | 76.0 | 397404 | 10.375 | 0.0 | 0.0 | | 10.375 | 77.0 | 402633 | 10.375 | 0.0 | 0.0 | | 10.375 | 78.0 | 407862 | 10.375 | 0.0 | 0.0 | | 10.375 | 79.0 | 413091 | 10.375 | 0.0 | 0.0 | | 10.375 | 80.0 | 418320 | 10.375 | 0.0 | 0.0 | | 10.375 | 81.0 | 423549 | 10.375 | 0.0 | 0.0 | | 10.375 | 82.0 | 428778 | 10.375 | 0.0 | 0.0 | | 10.375 | 83.0 | 434007 | 10.375 | 0.0 | 0.0 | | 10.375 | 84.0 | 439236 | 10.375 | 0.0 | 0.0 | | 10.375 | 85.0 | 444465 | 10.375 | 0.0 | 0.0 | | 10.375 | 86.0 | 449694 | 10.375 | 0.0 | 0.0 | | 10.375 | 87.0 | 454923 | 10.375 | 0.0 | 0.0 | | 10.375 | 88.0 | 460152 | 10.375 | 0.0 | 0.0 | | 10.375 | 89.0 | 465381 | 10.375 | 0.0 | 0.0 | | 10.375 | 90.0 | 470610 | 10.375 | 0.0 | 0.0 | | 10.375 | 91.0 | 475839 | 10.375 | 0.0 | 0.0 | | 10.375 | 92.0 | 481068 | 10.375 | 0.0 | 0.0 | | 10.375 | 93.0 | 486297 | 10.375 | 0.0 | 0.0 | | 10.375 | 94.0 | 491526 | 10.375 | 0.0 | 0.0 | | 10.375 | 95.0 | 496755 | 10.375 | 0.0 | 0.0 | | 10.375 | 96.0 | 501984 | 10.375 | 0.0 | 0.0 | | 10.375 | 97.0 | 507213 | 10.375 | 0.0 | 0.0 | | 10.375 | 98.0 | 512442 | 10.375 | 0.0 | 0.0 | | 10.375 | 99.0 | 517671 | 10.375 | 0.0 | 0.0 | | 10.375 | 100.0 | 522900 | 10.375 | 0.0 | 0.0 | ### Framework versions - Transformers 4.40.1 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1