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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: model |
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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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# model |
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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: 1.0360 |
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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: 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: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 0 |
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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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| 3.1667 | 0.07 | 2000 | 3.1054 | |
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| 1.8298 | 0.14 | 4000 | 1.7209 | |
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| 1.4726 | 0.22 | 6000 | 1.4237 | |
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| 1.3446 | 0.29 | 8000 | 1.2875 | |
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| 1.2647 | 0.36 | 10000 | 1.2120 | |
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| 1.2023 | 0.43 | 12000 | 1.1621 | |
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| 1.185 | 0.51 | 14000 | 1.1240 | |
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| 1.1308 | 0.58 | 16000 | 1.0957 | |
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| 1.1057 | 0.65 | 18000 | 1.0736 | |
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| 1.0894 | 0.72 | 20000 | 1.0555 | |
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| 1.087 | 0.8 | 22000 | 1.0439 | |
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| 1.0829 | 0.87 | 24000 | 1.0372 | |
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| 1.0566 | 0.94 | 26000 | 1.0360 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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