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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: my_awesome_distilberta_lm |
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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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# my_awesome_distilberta_lm |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.4099 |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 10 |
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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 | 282 | 5.3874 | |
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| 5.4769 | 2.0 | 564 | 5.2643 | |
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| 5.4769 | 3.0 | 846 | 4.9845 | |
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| 5.075 | 4.0 | 1128 | 4.9163 | |
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| 5.075 | 5.0 | 1410 | 4.8219 | |
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| 4.799 | 6.0 | 1692 | 4.6897 | |
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| 4.799 | 7.0 | 1974 | 4.5800 | |
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| 4.5388 | 8.0 | 2256 | 4.5920 | |
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| 4.3687 | 9.0 | 2538 | 4.5769 | |
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| 4.3687 | 10.0 | 2820 | 4.4824 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.6 |
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- Tokenizers 0.13.3 |
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