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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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- generated_from_trainer |
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
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model-index: |
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- name: Mistral-7B-Instruct-v0.2-GPTQ_retrained_IoV |
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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-7B-Instruct-v0.2-GPTQ_retrained_IoV |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8239 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 20 |
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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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| 4.1739 | 0.9412 | 4 | 3.4659 | |
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| 4.0196 | 1.8824 | 8 | 3.3864 | |
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| 3.2283 | 2.8235 | 12 | 3.2071 | |
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| 2.0147 | 4.0 | 17 | 2.9738 | |
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| 2.2299 | 4.9412 | 21 | 2.7751 | |
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| 2.0711 | 5.8824 | 25 | 2.6203 | |
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| 1.946 | 6.8235 | 29 | 2.3797 | |
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| 1.4262 | 8.0 | 34 | 2.0694 | |
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| 1.6468 | 8.9412 | 38 | 1.8468 | |
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| 1.5549 | 9.8824 | 42 | 1.5932 | |
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| 1.4661 | 10.8235 | 46 | 1.3819 | |
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| 1.1079 | 12.0 | 51 | 1.2555 | |
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| 1.3114 | 12.9412 | 55 | 1.1306 | |
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| 1.2436 | 13.8824 | 59 | 1.0515 | |
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| 1.1965 | 14.8235 | 63 | 0.9581 | |
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| 0.9269 | 16.0 | 68 | 0.9277 | |
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| 1.1262 | 16.9412 | 72 | 0.8709 | |
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| 1.1054 | 17.8824 | 76 | 0.8343 | |
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| 0.8664 | 18.8235 | 80 | 0.8239 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
