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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: 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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# mlm |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.5428 |
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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: 0.0001 |
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- train_batch_size: 64 |
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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: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.9959 | 10.87 | 500 | 5.4385 | |
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| 4.974 | 21.74 | 1000 | 5.0920 | |
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| 4.2917 | 32.61 | 1500 | 4.7598 | |
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| 3.7303 | 43.48 | 2000 | 4.4384 | |
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| 3.2166 | 54.35 | 2500 | 4.3718 | |
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| 2.7673 | 65.22 | 3000 | 4.3775 | |
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| 2.3727 | 76.09 | 3500 | 4.4200 | |
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| 2.029 | 86.96 | 4000 | 4.5428 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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