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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-v0.1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: your-project |
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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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# your-project |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3281 |
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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: 2.5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 5 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.814 | 0.0063 | 50 | 0.4102 | |
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| 0.3875 | 0.0127 | 100 | 0.3834 | |
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| 0.3645 | 0.0190 | 150 | 0.3681 | |
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| 0.369 | 0.0253 | 200 | 0.3606 | |
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| 0.3434 | 0.0317 | 250 | 0.3550 | |
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| 0.3567 | 0.0380 | 300 | 0.3509 | |
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| 0.3506 | 0.0443 | 350 | 0.3484 | |
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| 0.344 | 0.0507 | 400 | 0.3442 | |
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| 0.339 | 0.0570 | 450 | 0.3426 | |
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| 0.3437 | 0.0633 | 500 | 0.3398 | |
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| 0.3498 | 0.0697 | 550 | 0.3379 | |
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| 0.3319 | 0.0760 | 600 | 0.3358 | |
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| 0.3338 | 0.0823 | 650 | 0.3343 | |
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| 0.3301 | 0.0887 | 700 | 0.3333 | |
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| 0.3323 | 0.0950 | 750 | 0.3317 | |
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| 0.3289 | 0.1013 | 800 | 0.3306 | |
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| 0.3245 | 0.1077 | 850 | 0.3296 | |
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| 0.3189 | 0.1140 | 900 | 0.3290 | |
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| 0.32 | 0.1203 | 950 | 0.3283 | |
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| 0.3254 | 0.1267 | 1000 | 0.3281 | |
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### Framework versions |
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- PEFT 0.13.3.dev0 |
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- Transformers 4.46.3 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
