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--- |
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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: unsloth/mistral-7b-instruct-v0.2-bnb-4bit |
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model-index: |
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- name: Mistral-Instruct-7B-v0.2-ChatAlpacaV2 |
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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-Instruct-7B-v0.2-ChatAlpacaV2 |
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This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8225 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8873 | 0.2 | 120 | 0.8803 | |
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| 0.8507 | 0.39 | 240 | 0.8559 | |
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| 0.8502 | 0.59 | 360 | 0.8462 | |
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| 0.8275 | 0.78 | 480 | 0.8406 | |
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| 0.8452 | 0.98 | 600 | 0.8299 | |
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| 0.8296 | 1.18 | 720 | 0.8259 | |
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| 0.8243 | 1.37 | 840 | 0.8242 | |
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| 0.8133 | 1.57 | 960 | 0.8232 | |
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| 0.8265 | 1.76 | 1080 | 0.8227 | |
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| 0.8194 | 1.96 | 1200 | 0.8225 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.1 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
