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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-ep20 |
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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-ep20 |
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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: 1.2289 |
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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: 1.9370859e-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: 0.17096 |
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- num_epochs: 20 |
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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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| 1.7361 | 1.0 | 14644 | 1.5825 | |
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| 1.6238 | 2.0 | 29288 | 1.4802 | |
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| 1.559 | 3.0 | 43932 | 1.4250 | |
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| 1.5033 | 4.0 | 58576 | 1.3855 | |
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| 1.4776 | 5.0 | 73220 | 1.3575 | |
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| 1.4485 | 6.0 | 87864 | 1.3329 | |
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| 1.4208 | 7.0 | 102508 | 1.3127 | |
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| 1.411 | 8.0 | 117152 | 1.2991 | |
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| 1.395 | 9.0 | 131796 | 1.2896 | |
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| 1.3923 | 10.0 | 146440 | 1.2799 | |
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| 1.3663 | 11.0 | 161084 | 1.2719 | |
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| 1.3592 | 12.0 | 175728 | 1.2630 | |
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| 1.3518 | 13.0 | 190372 | 1.2561 | |
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| 1.3478 | 14.0 | 205016 | 1.2511 | |
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| 1.3426 | 15.0 | 219660 | 1.2466 | |
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| 1.3296 | 16.0 | 234304 | 1.2389 | |
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| 1.3231 | 17.0 | 248948 | 1.2354 | |
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| 1.3305 | 18.0 | 263592 | 1.2343 | |
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| 1.3198 | 19.0 | 278236 | 1.2330 | |
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| 1.3177 | 20.0 | 292880 | 1.2300 | |
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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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