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--- |
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base_model: mistralai/Mistral-7B-Instruct-v0.3 |
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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: shawgpt-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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# shawgpt-ft |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5866 |
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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: 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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| 4.586 | 0.9231 | 3 | 4.0840 | |
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| 4.5013 | 1.8462 | 6 | 3.6804 | |
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| 3.4295 | 2.7692 | 9 | 2.6498 | |
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| 1.7662 | 4.0 | 13 | 1.7049 | |
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| 1.6274 | 4.9231 | 16 | 1.4525 | |
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| 1.3983 | 5.8462 | 19 | 1.3957 | |
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| 1.2807 | 6.7692 | 22 | 1.3583 | |
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| 0.9365 | 8.0 | 26 | 1.3325 | |
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| 1.1829 | 8.9231 | 29 | 1.3339 | |
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| 1.0945 | 9.8462 | 32 | 1.3330 | |
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| 1.0448 | 10.7692 | 35 | 1.3496 | |
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| 0.7014 | 12.0 | 39 | 1.3455 | |
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| 0.8887 | 12.9231 | 42 | 1.3879 | |
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| 0.8145 | 13.8462 | 45 | 1.4225 | |
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| 0.7586 | 14.7692 | 48 | 1.4449 | |
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| 0.5382 | 16.0 | 52 | 1.5154 | |
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| 0.6563 | 16.9231 | 55 | 1.4966 | |
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| 0.6154 | 17.8462 | 58 | 1.5442 | |
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| 0.4083 | 18.4615 | 60 | 1.5866 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
