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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Bert-MLM |
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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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# Bert-MLM |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.9694 |
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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: 0.1 |
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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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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 14.7772 | 0.06 | 100 | 8.6683 | |
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| 9.1925 | 0.12 | 200 | 9.1429 | |
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| 8.6946 | 0.19 | 300 | 10.0975 | |
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| 8.3986 | 0.25 | 400 | 8.3313 | |
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| 8.0251 | 0.31 | 500 | 7.9694 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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