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--- |
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license: apache-2.0 |
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base_model: distilroberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilroberta-rbm231k-ep20-op40 |
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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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# distilroberta-rbm231k-ep20-op40 |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1240 |
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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: 7.3e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.19 |
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- num_epochs: 40 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 1.696 | 1.0 | 14644 | 1.5458 | |
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| 1.5919 | 2.0 | 29288 | 1.4527 | |
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| 1.5345 | 3.0 | 43932 | 1.4052 | |
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| 1.4921 | 4.0 | 58576 | 1.3763 | |
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| 1.4798 | 5.0 | 73220 | 1.3612 | |
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| 1.464 | 6.0 | 87864 | 1.3492 | |
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| 1.4498 | 7.0 | 102508 | 1.3409 | |
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| 1.448 | 8.0 | 117152 | 1.3355 | |
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| 1.4262 | 9.0 | 131796 | 1.3213 | |
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| 1.4175 | 10.0 | 146440 | 1.3096 | |
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| 1.3851 | 11.0 | 161084 | 1.2963 | |
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| 1.3728 | 12.0 | 175728 | 1.2846 | |
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| 1.3601 | 13.0 | 190372 | 1.2739 | |
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| 1.351 | 14.0 | 205016 | 1.2639 | |
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| 1.3406 | 15.0 | 219660 | 1.2555 | |
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| 1.3214 | 16.0 | 234304 | 1.2454 | |
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| 1.31 | 17.0 | 248948 | 1.2372 | |
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| 1.3117 | 18.0 | 263592 | 1.2317 | |
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| 1.2947 | 19.0 | 278236 | 1.2267 | |
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| 1.2858 | 20.0 | 292880 | 1.2162 | |
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| 1.2804 | 21.0 | 307524 | 1.2092 | |
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| 1.2708 | 22.0 | 322168 | 1.2064 | |
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| 1.2635 | 23.0 | 336812 | 1.1974 | |
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| 1.253 | 24.0 | 351456 | 1.1926 | |
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| 1.2463 | 25.0 | 366100 | 1.1832 | |
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| 1.2399 | 26.0 | 380744 | 1.1817 | |
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| 1.2328 | 27.0 | 395388 | 1.1752 | |
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| 1.2292 | 28.0 | 410032 | 1.1710 | |
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| 1.2197 | 29.0 | 424676 | 1.1672 | |
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| 1.2101 | 30.0 | 439320 | 1.1618 | |
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| 1.2029 | 31.0 | 453964 | 1.1551 | |
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| 1.2007 | 32.0 | 468608 | 1.1515 | |
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| 1.1932 | 33.0 | 483252 | 1.1438 | |
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| 1.1884 | 34.0 | 497896 | 1.1406 | |
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| 1.1835 | 35.0 | 512540 | 1.1364 | |
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| 1.1762 | 36.0 | 527184 | 1.1344 | |
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| 1.174 | 37.0 | 541828 | 1.1315 | |
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| 1.1675 | 38.0 | 556472 | 1.1267 | |
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| 1.1699 | 39.0 | 571116 | 1.1230 | |
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| 1.1629 | 40.0 | 585760 | 1.1274 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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