--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer metrics: - bleu model-index: - name: my_awesome_opus_books_model results: [] --- # my_awesome_opus_books_model 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: 3.2696 - Bleu: 0.0071 - Gen Len: 19.0 ## 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - 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 | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | No log | 1.0 | 15 | 6.4375 | 0.0013 | 19.0 | | No log | 2.0 | 30 | 5.7374 | 0.0016 | 19.0 | | No log | 3.0 | 45 | 5.4597 | 0.0004 | 19.0 | | No log | 4.0 | 60 | 5.2343 | 0.0005 | 19.0 | | No log | 5.0 | 75 | 5.0942 | 0.0008 | 19.0 | | No log | 6.0 | 90 | 4.9779 | 0.001 | 19.0 | | No log | 7.0 | 105 | 4.8902 | 0.001 | 19.0 | | No log | 8.0 | 120 | 4.7958 | 0.0008 | 19.0 | | No log | 9.0 | 135 | 4.7133 | 0.0008 | 19.0 | | No log | 10.0 | 150 | 4.6379 | 0.0008 | 19.0 | | No log | 11.0 | 165 | 4.5734 | 0.0011 | 19.0 | | No log | 12.0 | 180 | 4.5051 | 0.0011 | 19.0 | | No log | 13.0 | 195 | 4.4446 | 0.0031 | 19.0 | | No log | 14.0 | 210 | 4.3866 | 0.0085 | 19.0 | | No log | 15.0 | 225 | 4.3280 | 0.0148 | 19.0 | | No log | 16.0 | 240 | 4.2625 | 0.0122 | 19.0 | | No log | 17.0 | 255 | 4.2007 | 0.0015 | 19.0 | | No log | 18.0 | 270 | 4.1402 | 0.0015 | 19.0 | | No log | 19.0 | 285 | 4.0824 | 0.0014 | 19.0 | | No log | 20.0 | 300 | 4.0331 | 0.0014 | 19.0 | | No log | 21.0 | 315 | 3.9883 | 0.0008 | 19.0 | | No log | 22.0 | 330 | 3.9361 | 0.0007 | 19.0 | | No log | 23.0 | 345 | 3.8779 | 0.0015 | 19.0 | | No log | 24.0 | 360 | 3.8201 | 0.0019 | 19.0 | | No log | 25.0 | 375 | 3.7696 | 0.0031 | 19.0 | | No log | 26.0 | 390 | 3.7357 | 0.0032 | 19.0 | | No log | 27.0 | 405 | 3.7019 | 0.0018 | 19.0 | | No log | 28.0 | 420 | 3.6743 | 0.0018 | 19.0 | | No log | 29.0 | 435 | 3.6439 | 0.0017 | 19.0 | | No log | 30.0 | 450 | 3.6153 | 0.0016 | 19.0 | | No log | 31.0 | 465 | 3.5916 | 0.0009 | 19.0 | | No log | 32.0 | 480 | 3.5756 | 0.0062 | 19.0 | | No log | 33.0 | 495 | 3.5618 | 0.001 | 19.0 | | 4.6815 | 34.0 | 510 | 3.5500 | 0.0011 | 19.0 | | 4.6815 | 35.0 | 525 | 3.5398 | 0.0006 | 19.0 | | 4.6815 | 36.0 | 540 | 3.5331 | 0.0006 | 19.0 | | 4.6815 | 37.0 | 555 | 3.5181 | 0.0006 | 19.0 | | 4.6815 | 38.0 | 570 | 3.5059 | 0.0005 | 19.0 | | 4.6815 | 39.0 | 585 | 3.4958 | 0.0006 | 18.95 | | 4.6815 | 40.0 | 600 | 3.4882 | 0.0006 | 18.95 | | 4.6815 | 41.0 | 615 | 3.4760 | 0.0007 | 19.0 | | 4.6815 | 42.0 | 630 | 3.4673 | 0.0009 | 19.0 | | 4.6815 | 43.0 | 645 | 3.4656 | 0.0011 | 19.0 | | 4.6815 | 44.0 | 660 | 3.4526 | 0.0008 | 19.0 | | 4.6815 | 45.0 | 675 | 3.4522 | 0.0009 | 19.0 | | 4.6815 | 46.0 | 690 | 3.4395 | 0.0014 | 19.0 | | 4.6815 | 47.0 | 705 | 3.4251 | 0.0015 | 19.0 | | 4.6815 | 48.0 | 720 | 3.4162 | 0.0016 | 19.0 | | 4.6815 | 49.0 | 735 | 3.4124 | 0.002 | 19.0 | | 4.6815 | 50.0 | 750 | 3.4061 | 0.0025 | 19.0 | | 4.6815 | 51.0 | 765 | 3.4014 | 0.0024 | 19.0 | | 4.6815 | 52.0 | 780 | 3.3920 | 0.0025 | 19.0 | | 4.6815 | 53.0 | 795 | 3.3898 | 0.0027 | 19.0 | | 4.6815 | 54.0 | 810 | 3.3839 | 0.0021 | 19.0 | | 4.6815 | 55.0 | 825 | 3.3777 | 0.0023 | 19.0 | | 4.6815 | 56.0 | 840 | 3.3713 | 0.0027 | 19.0 | | 4.6815 | 57.0 | 855 | 3.3654 | 0.0019 | 19.0 | | 4.6815 | 58.0 | 870 | 3.3607 | 0.0024 | 19.0 | | 4.6815 | 59.0 | 885 | 3.3496 | 0.0034 | 19.0 | | 4.6815 | 60.0 | 900 | 3.3474 | 0.0031 | 19.0 | | 4.6815 | 61.0 | 915 | 3.3446 | 0.0026 | 19.0 | | 4.6815 | 62.0 | 930 | 3.3401 | 0.0031 | 19.0 | | 4.6815 | 63.0 | 945 | 3.3326 | 0.0041 | 19.0 | | 4.6815 | 64.0 | 960 | 3.3288 | 0.0028 | 19.0 | | 4.6815 | 65.0 | 975 | 3.3309 | 0.0031 | 19.0 | | 4.6815 | 66.0 | 990 | 3.3281 | 0.0034 | 19.0 | | 3.5477 | 67.0 | 1005 | 3.3223 | 0.0032 | 19.0 | | 3.5477 | 68.0 | 1020 | 3.3169 | 0.0037 | 19.0 | | 3.5477 | 69.0 | 1035 | 3.3143 | 0.0058 | 19.0 | | 3.5477 | 70.0 | 1050 | 3.3134 | 0.004 | 19.0 | | 3.5477 | 71.0 | 1065 | 3.3082 | 0.0066 | 19.0 | | 3.5477 | 72.0 | 1080 | 3.3060 | 0.0044 | 19.0 | | 3.5477 | 73.0 | 1095 | 3.3042 | 0.0041 | 19.0 | | 3.5477 | 74.0 | 1110 | 3.3013 | 0.0048 | 19.0 | | 3.5477 | 75.0 | 1125 | 3.2972 | 0.0051 | 19.0 | | 3.5477 | 76.0 | 1140 | 3.2967 | 0.0054 | 19.0 | | 3.5477 | 77.0 | 1155 | 3.2942 | 0.0055 | 19.0 | | 3.5477 | 78.0 | 1170 | 3.2951 | 0.0036 | 19.0 | | 3.5477 | 79.0 | 1185 | 3.2948 | 0.0039 | 19.0 | | 3.5477 | 80.0 | 1200 | 3.2922 | 0.0038 | 19.0 | | 3.5477 | 81.0 | 1215 | 3.2871 | 0.0035 | 19.0 | | 3.5477 | 82.0 | 1230 | 3.2819 | 0.0051 | 19.0 | | 3.5477 | 83.0 | 1245 | 3.2804 | 0.0039 | 19.0 | | 3.5477 | 84.0 | 1260 | 3.2800 | 0.0044 | 19.0 | | 3.5477 | 85.0 | 1275 | 3.2809 | 0.0065 | 19.0 | | 3.5477 | 86.0 | 1290 | 3.2803 | 0.0073 | 19.0 | | 3.5477 | 87.0 | 1305 | 3.2779 | 0.0055 | 19.0 | | 3.5477 | 88.0 | 1320 | 3.2763 | 0.0043 | 19.0 | | 3.5477 | 89.0 | 1335 | 3.2746 | 0.0047 | 19.0 | | 3.5477 | 90.0 | 1350 | 3.2733 | 0.0061 | 19.0 | | 3.5477 | 91.0 | 1365 | 3.2723 | 0.005 | 19.0 | | 3.5477 | 92.0 | 1380 | 3.2718 | 0.0074 | 19.0 | | 3.5477 | 93.0 | 1395 | 3.2724 | 0.0051 | 19.0 | | 3.5477 | 94.0 | 1410 | 3.2722 | 0.0073 | 19.0 | | 3.5477 | 95.0 | 1425 | 3.2710 | 0.0047 | 19.0 | | 3.5477 | 96.0 | 1440 | 3.2703 | 0.0064 | 19.0 | | 3.5477 | 97.0 | 1455 | 3.2696 | 0.0056 | 19.0 | | 3.5477 | 98.0 | 1470 | 3.2696 | 0.0039 | 19.0 | | 3.5477 | 99.0 | 1485 | 3.2697 | 0.0074 | 19.0 | | 3.3501 | 100.0 | 1500 | 3.2696 | 0.0071 | 19.0 | ### Framework versions - Transformers 4.38.1 - Pytorch 2.1.2 - Datasets 2.1.0 - Tokenizers 0.15.2