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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-Instruct-v0.1 |
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model-index: |
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- name: mistral-QLORA-FT |
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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-QLORA-FT |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2209 |
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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: 5e-05 |
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- train_batch_size: 8 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4143 | 0.1 | 135 | 1.2817 | |
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| 1.2203 | 0.2 | 270 | 1.2299 | |
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| 1.2193 | 0.3 | 405 | 1.2281 | |
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| 1.2127 | 0.4 | 540 | 1.2252 | |
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| 1.1912 | 0.5 | 675 | 1.2238 | |
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| 1.1855 | 0.6 | 810 | 1.2236 | |
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| 1.1998 | 0.7 | 945 | 1.2216 | |
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| 1.1959 | 0.8 | 1080 | 1.2219 | |
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| 1.1884 | 0.9 | 1215 | 1.2210 | |
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| 1.1988 | 1.0 | 1350 | 1.2209 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
