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--- |
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Mistral-7B-Instruct-v0.2-GPTQ_finetune_s1000 |
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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_finetune_s1000 |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6456 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 10 |
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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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| 1.2303 | 0.9829 | 43 | 0.8563 | |
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| 0.6964 | 1.9886 | 87 | 0.7045 | |
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| 0.6032 | 2.9943 | 131 | 0.6661 | |
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| 0.558 | 4.0 | 175 | 0.6472 | |
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| 0.5376 | 4.9829 | 218 | 0.6400 | |
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| 0.4962 | 5.9886 | 262 | 0.6360 | |
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| 0.4754 | 6.9943 | 306 | 0.6359 | |
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| 0.4593 | 8.0 | 350 | 0.6393 | |
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| 0.456 | 8.9829 | 393 | 0.6430 | |
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| 0.4305 | 9.8286 | 430 | 0.6456 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
