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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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- unsloth |
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- chatalpaca |
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- mistral |
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- conversational |
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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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license: apache-2.0 |
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datasets: |
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- robinsmits/ChatAlpaca-20K |
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language: |
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- en |
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inference: false |
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pipeline_tag: text-generation |
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--- |
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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: 0.8439 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8801 | 0.2 | 120 | 0.8756 | |
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| 0.8498 | 0.39 | 240 | 0.8553 | |
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| 0.8515 | 0.59 | 360 | 0.8475 | |
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| 0.8313 | 0.78 | 480 | 0.8445 | |
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| 0.857 | 0.98 | 600 | 0.8439 | |
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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 |
