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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: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
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model-index: |
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- name: logs |
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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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# logs |
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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: 1.1291 |
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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: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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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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| No log | 0.9560 | 19 | 1.6214 | |
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| 1.8609 | 1.9623 | 39 | 1.4791 | |
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| 1.5247 | 2.9686 | 59 | 1.3896 | |
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| 1.4173 | 3.9748 | 79 | 1.3052 | |
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| 1.4173 | 4.9811 | 99 | 1.2385 | |
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| 1.3272 | 5.9874 | 119 | 1.1894 | |
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| 1.248 | 6.9937 | 139 | 1.1540 | |
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| 1.2 | 8.0 | 159 | 1.1351 | |
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| 1.1843 | 8.9560 | 178 | 1.1295 | |
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| 1.1843 | 9.5597 | 190 | 1.1291 | |
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### Framework versions |
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- PEFT 0.11.1 |
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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 |
