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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mistral-0.5B-base |
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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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# mistral-0.5B-base |
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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: 3.8893 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 5.9695 | 0.3989 | 74 | 6.0154 | |
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| 5.0148 | 0.7978 | 148 | 5.1781 | |
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| 4.459 | 1.1941 | 222 | 4.7603 | |
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| 4.0585 | 1.5930 | 296 | 4.4421 | |
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| 3.8404 | 1.9919 | 370 | 4.2375 | |
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| 3.1164 | 2.3881 | 444 | 4.0944 | |
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| 2.4948 | 2.7871 | 518 | 3.9528 | |
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| 1.6126 | 3.1833 | 592 | 3.9094 | |
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| 1.5873 | 3.5822 | 666 | 3.8964 | |
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| 1.4401 | 3.9811 | 740 | 3.8893 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
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