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--- |
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base_model: PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: CMS-Results |
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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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# CMS-Results |
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This model is a fine-tuned version of [PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed](https://huggingface.co/PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6764 |
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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: 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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| 2.3035 | 0.8571 | 3 | 1.8262 | |
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| 1.2484 | 2.0 | 7 | 1.2039 | |
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| 1.158 | 2.8571 | 10 | 1.0290 | |
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| 0.7415 | 4.0 | 14 | 0.8352 | |
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| 0.7861 | 4.8571 | 17 | 0.7549 | |
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| 0.5122 | 6.0 | 21 | 0.6964 | |
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| 0.6129 | 6.8571 | 24 | 0.6842 | |
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| 0.4332 | 8.0 | 28 | 0.6770 | |
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| 0.4938 | 8.5714 | 30 | 0.6764 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
