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--- |
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license: apache-2.0 |
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base_model: google/long-t5-local-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: long-t5-local-base-finetuned-justification-v03 |
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results: [] |
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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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# long-t5-local-base-finetuned-justification-v03 |
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This model is a fine-tuned version of [google/long-t5-local-base](https://huggingface.co/google/long-t5-local-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0759 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-07 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 37.3451 | 1.0 | 676 | 30.7532 | |
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| 35.6146 | 2.0 | 1352 | 28.8261 | |
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| 32.3915 | 3.0 | 2028 | 26.9524 | |
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| 30.6984 | 4.0 | 2704 | 25.0794 | |
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| 29.1119 | 5.0 | 3380 | 23.2287 | |
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| 25.8833 | 6.0 | 4056 | 21.3800 | |
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| 24.6464 | 7.0 | 4732 | 19.5382 | |
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| 23.0238 | 8.0 | 5408 | 17.7077 | |
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| 20.1628 | 9.0 | 6084 | 15.7830 | |
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| 18.3835 | 10.0 | 6760 | 13.7916 | |
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| 17.0307 | 11.0 | 7436 | 11.7701 | |
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| 13.9093 | 12.0 | 8112 | 9.7176 | |
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| 12.3394 | 13.0 | 8788 | 7.7920 | |
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| 10.888 | 14.0 | 9464 | 6.6093 | |
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| 8.1438 | 15.0 | 10140 | 6.1657 | |
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| 7.1948 | 16.0 | 10816 | 5.9876 | |
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| 6.4311 | 17.0 | 11492 | 5.8574 | |
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| 5.2684 | 18.0 | 12168 | 5.7303 | |
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| 5.2309 | 19.0 | 12844 | 5.6090 | |
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| 4.6475 | 20.0 | 13520 | 5.4782 | |
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| 4.583 | 21.0 | 14196 | 5.3425 | |
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| 4.3645 | 22.0 | 14872 | 5.2021 | |
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| 4.1721 | 23.0 | 15548 | 5.0568 | |
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| 4.1423 | 24.0 | 16224 | 4.9156 | |
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| 3.983 | 25.0 | 16900 | 4.7832 | |
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| 3.9396 | 26.0 | 17576 | 4.6574 | |
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| 3.8342 | 27.0 | 18252 | 4.5455 | |
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| 3.651 | 28.0 | 18928 | 4.4371 | |
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| 3.663 | 29.0 | 19604 | 4.3453 | |
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| 3.5847 | 30.0 | 20280 | 4.2648 | |
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| 3.5013 | 31.0 | 20956 | 4.1942 | |
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| 3.5122 | 32.0 | 21632 | 4.1298 | |
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| 3.3473 | 33.0 | 22308 | 4.0700 | |
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| 3.3417 | 34.0 | 22984 | 4.0167 | |
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| 3.3881 | 35.0 | 23660 | 3.9700 | |
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| 3.2404 | 36.0 | 24336 | 3.9258 | |
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| 3.2232 | 37.0 | 25012 | 3.8830 | |
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| 3.2287 | 38.0 | 25688 | 3.8438 | |
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| 3.0759 | 39.0 | 26364 | 3.8066 | |
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| 3.053 | 40.0 | 27040 | 3.7711 | |
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| 3.0726 | 41.0 | 27716 | 3.7386 | |
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| 3.0198 | 42.0 | 28392 | 3.7072 | |
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| 3.0923 | 43.0 | 29068 | 3.6768 | |
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| 2.986 | 44.0 | 29744 | 3.6489 | |
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| 2.9184 | 45.0 | 30420 | 3.6221 | |
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| 2.9114 | 46.0 | 31096 | 3.5972 | |
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| 2.9585 | 47.0 | 31772 | 3.5736 | |
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| 2.91 | 48.0 | 32448 | 3.5477 | |
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| 2.8974 | 49.0 | 33124 | 3.5252 | |
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| 2.9211 | 50.0 | 33800 | 3.5020 | |
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| 2.785 | 51.0 | 34476 | 3.4795 | |
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| 2.8177 | 52.0 | 35152 | 3.4581 | |
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| 2.9204 | 53.0 | 35828 | 3.4392 | |
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| 2.7911 | 54.0 | 36504 | 3.4199 | |
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| 2.8178 | 55.0 | 37180 | 3.4013 | |
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| 2.8029 | 56.0 | 37856 | 3.3830 | |
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| 2.7654 | 57.0 | 38532 | 3.3655 | |
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| 2.7854 | 58.0 | 39208 | 3.3486 | |
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| 2.7322 | 59.0 | 39884 | 3.3314 | |
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| 2.722 | 60.0 | 40560 | 3.3161 | |
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| 2.6665 | 61.0 | 41236 | 3.3016 | |
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| 2.719 | 62.0 | 41912 | 3.2865 | |
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| 2.6758 | 63.0 | 42588 | 3.2720 | |
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| 2.6586 | 64.0 | 43264 | 3.2582 | |
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| 2.6443 | 65.0 | 43940 | 3.2451 | |
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| 2.6656 | 66.0 | 44616 | 3.2322 | |
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| 2.6183 | 67.0 | 45292 | 3.2206 | |
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| 2.6143 | 68.0 | 45968 | 3.2087 | |
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| 2.6117 | 69.0 | 46644 | 3.1989 | |
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| 2.6567 | 70.0 | 47320 | 3.1890 | |
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| 2.5946 | 71.0 | 47996 | 3.1797 | |
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| 2.5836 | 72.0 | 48672 | 3.1703 | |
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| 2.5928 | 73.0 | 49348 | 3.1627 | |
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| 2.6024 | 74.0 | 50024 | 3.1552 | |
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| 2.6117 | 75.0 | 50700 | 3.1469 | |
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| 2.5681 | 76.0 | 51376 | 3.1392 | |
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| 2.5731 | 77.0 | 52052 | 3.1329 | |
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| 2.5749 | 78.0 | 52728 | 3.1267 | |
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| 2.5788 | 79.0 | 53404 | 3.1208 | |
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| 2.5478 | 80.0 | 54080 | 3.1156 | |
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| 2.6048 | 81.0 | 54756 | 3.1104 | |
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| 2.5514 | 82.0 | 55432 | 3.1062 | |
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| 2.5705 | 83.0 | 56108 | 3.1027 | |
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| 2.5733 | 84.0 | 56784 | 3.0994 | |
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| 2.4704 | 85.0 | 57460 | 3.0965 | |
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| 2.558 | 86.0 | 58136 | 3.0928 | |
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| 2.5566 | 87.0 | 58812 | 3.0895 | |
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| 2.4822 | 88.0 | 59488 | 3.0869 | |
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| 2.5377 | 89.0 | 60164 | 3.0844 | |
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| 2.5173 | 90.0 | 60840 | 3.0826 | |
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| 2.5312 | 91.0 | 61516 | 3.0809 | |
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| 2.5038 | 92.0 | 62192 | 3.0799 | |
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| 2.5645 | 93.0 | 62868 | 3.0788 | |
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| 2.5612 | 94.0 | 63544 | 3.0778 | |
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| 2.4948 | 95.0 | 64220 | 3.0770 | |
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| 2.538 | 96.0 | 64896 | 3.0765 | |
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| 2.4701 | 97.0 | 65572 | 3.0762 | |
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| 2.5269 | 98.0 | 66248 | 3.0759 | |
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| 2.5265 | 99.0 | 66924 | 3.0759 | |
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| 2.4955 | 100.0 | 67600 | 3.0759 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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