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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-v0.1-GPTQ |
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model-index: |
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- name: mistral-7b-nli_cot |
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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-nli_cot |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-v0.1-GPTQ) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4930 |
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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: 0.0003 |
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- train_batch_size: 8 |
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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: 32 |
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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: 11 |
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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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| 0.4947 | 0.9996 | 598 | 0.4534 | |
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| 0.4418 | 1.9992 | 1196 | 0.4475 | |
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| 0.4262 | 2.9987 | 1794 | 0.4476 | |
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| 0.4125 | 4.0 | 2393 | 0.4499 | |
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| 0.4015 | 4.9996 | 2991 | 0.4552 | |
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| 0.3908 | 5.9992 | 3589 | 0.4591 | |
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| 0.3809 | 6.9987 | 4187 | 0.4653 | |
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| 0.3712 | 8.0 | 4786 | 0.4721 | |
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| 0.3635 | 8.9996 | 5384 | 0.4783 | |
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| 0.3562 | 9.9992 | 5982 | 0.4868 | |
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| 0.3496 | 10.9954 | 6578 | 0.4930 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
