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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-base-rbm213k-ep40 |
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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-base-rbm213k-ep40 |
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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: 1.2136 |
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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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| 1.7375 | 1.0 | 13587 | 1.5878 | |
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| 1.6433 | 2.0 | 27174 | 1.5049 | |
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| 1.5936 | 3.0 | 40761 | 1.4690 | |
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| 1.5591 | 4.0 | 54348 | 1.4469 | |
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| 1.5452 | 5.0 | 67935 | 1.4324 | |
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| 1.5378 | 6.0 | 81522 | 1.4267 | |
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| 1.5333 | 7.0 | 95109 | 1.4279 | |
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| 1.5248 | 8.0 | 108696 | 1.4250 | |
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| 1.5095 | 9.0 | 122283 | 1.4120 | |
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| 1.4906 | 10.0 | 135870 | 1.3937 | |
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| 1.4746 | 11.0 | 149457 | 1.3860 | |
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| 1.4565 | 12.0 | 163044 | 1.3730 | |
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| 1.4377 | 13.0 | 176631 | 1.3672 | |
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| 1.4222 | 14.0 | 190218 | 1.3581 | |
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| 1.415 | 15.0 | 203805 | 1.3501 | |
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| 1.4148 | 16.0 | 217392 | 1.3422 | |
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| 1.404 | 17.0 | 230979 | 1.3356 | |
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| 1.3925 | 18.0 | 244566 | 1.3296 | |
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| 1.3782 | 19.0 | 258153 | 1.3207 | |
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| 1.3655 | 20.0 | 271740 | 1.3185 | |
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| 1.3628 | 21.0 | 285327 | 1.3109 | |
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| 1.355 | 22.0 | 298914 | 1.3046 | |
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| 1.3455 | 23.0 | 312501 | 1.2985 | |
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| 1.3365 | 24.0 | 326088 | 1.2900 | |
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| 1.3279 | 25.0 | 339675 | 1.2858 | |
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| 1.321 | 26.0 | 353262 | 1.2811 | |
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| 1.3198 | 27.0 | 366849 | 1.2746 | |
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| 1.3042 | 28.0 | 380436 | 1.2682 | |
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| 1.3057 | 29.0 | 394023 | 1.2641 | |
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| 1.2885 | 30.0 | 407610 | 1.2584 | |
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| 1.2841 | 31.0 | 421197 | 1.2507 | |
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| 1.2776 | 32.0 | 434784 | 1.2443 | |
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| 1.2688 | 33.0 | 448371 | 1.2415 | |
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| 1.2658 | 34.0 | 461958 | 1.2344 | |
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| 1.2606 | 35.0 | 475545 | 1.2315 | |
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| 1.2445 | 36.0 | 489132 | 1.2258 | |
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| 1.2409 | 37.0 | 502719 | 1.2211 | |
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| 1.2478 | 38.0 | 516306 | 1.2187 | |
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| 1.236 | 39.0 | 529893 | 1.2138 | |
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| 1.2277 | 40.0 | 543480 | 1.2124 | |
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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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