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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: mask-langauge-modeling |
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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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# mask-langauge-modeling |
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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: 0.4731 |
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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: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8107 | 1.0 | 598 | 0.8552 | |
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| 0.8572 | 2.0 | 1196 | 0.8273 | |
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| 0.8655 | 3.0 | 1794 | 0.7705 | |
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| 0.8348 | 4.0 | 2392 | 0.7156 | |
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| 0.792 | 5.0 | 2990 | 0.6761 | |
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| 0.701 | 6.0 | 3588 | 0.6323 | |
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| 0.665 | 7.0 | 4186 | 0.6005 | |
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| 0.6257 | 8.0 | 4784 | 0.5602 | |
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| 0.5966 | 9.0 | 5382 | 0.5298 | |
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| 0.5674 | 10.0 | 5980 | 0.5153 | |
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| 0.5102 | 11.0 | 6578 | 0.4995 | |
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| 0.4888 | 12.0 | 7176 | 0.4816 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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