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--- |
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license: apache-2.0 |
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base_model: google/byt5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: byt5_add |
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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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# byt5_add |
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This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1606 |
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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: 5e-05 |
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- train_batch_size: 800 |
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- eval_batch_size: 800 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 13 | 4.2259 | |
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| No log | 2.0 | 26 | 2.4178 | |
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| No log | 3.0 | 39 | 1.9256 | |
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| No log | 4.0 | 52 | 1.7310 | |
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| No log | 5.0 | 65 | 1.6577 | |
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| No log | 6.0 | 78 | 1.6385 | |
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| No log | 7.0 | 91 | 1.6110 | |
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| No log | 8.0 | 104 | 1.5811 | |
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| No log | 9.0 | 117 | 1.5237 | |
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| No log | 10.0 | 130 | 1.4809 | |
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| No log | 11.0 | 143 | 1.4378 | |
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| No log | 12.0 | 156 | 1.3976 | |
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| No log | 13.0 | 169 | 1.3462 | |
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| No log | 14.0 | 182 | 1.2587 | |
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| No log | 15.0 | 195 | 1.2260 | |
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| No log | 16.0 | 208 | 1.1018 | |
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| No log | 17.0 | 221 | 1.0273 | |
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| No log | 18.0 | 234 | 0.9436 | |
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| No log | 19.0 | 247 | 0.8007 | |
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| No log | 20.0 | 260 | 0.6919 | |
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| No log | 21.0 | 273 | 0.6201 | |
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| No log | 22.0 | 286 | 0.5486 | |
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| No log | 23.0 | 299 | 0.4804 | |
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| No log | 24.0 | 312 | 0.4080 | |
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| No log | 25.0 | 325 | 0.3861 | |
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| No log | 26.0 | 338 | 0.3477 | |
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| No log | 27.0 | 351 | 0.3181 | |
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| No log | 28.0 | 364 | 0.2921 | |
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| No log | 29.0 | 377 | 0.2832 | |
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| No log | 30.0 | 390 | 0.2693 | |
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| No log | 31.0 | 403 | 0.2469 | |
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| No log | 32.0 | 416 | 0.2453 | |
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| No log | 33.0 | 429 | 0.2313 | |
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| No log | 34.0 | 442 | 0.2134 | |
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| No log | 35.0 | 455 | 0.2139 | |
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| No log | 36.0 | 468 | 0.2088 | |
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| No log | 37.0 | 481 | 0.2007 | |
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| No log | 38.0 | 494 | 0.1960 | |
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| 1.3 | 39.0 | 507 | 0.1830 | |
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| 1.3 | 40.0 | 520 | 0.1782 | |
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| 1.3 | 41.0 | 533 | 0.1746 | |
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| 1.3 | 42.0 | 546 | 0.1741 | |
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| 1.3 | 43.0 | 559 | 0.1708 | |
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| 1.3 | 44.0 | 572 | 0.1668 | |
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| 1.3 | 45.0 | 585 | 0.1650 | |
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| 1.3 | 46.0 | 598 | 0.1651 | |
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| 1.3 | 47.0 | 611 | 0.1629 | |
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| 1.3 | 48.0 | 624 | 0.1627 | |
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| 1.3 | 49.0 | 637 | 0.1610 | |
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| 1.3 | 50.0 | 650 | 0.1606 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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