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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-v0.1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: out/Mistral-7B-sft-v1 |
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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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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# out/Mistral-7B-sft-v1 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9216 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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_steps: 10 |
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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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| 1.0308 | 0.1 | 20 | 0.9749 | |
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| 0.9065 | 0.2 | 40 | 0.9535 | |
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| 0.9799 | 0.3 | 60 | 0.9446 | |
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| 1.2045 | 0.4 | 80 | 0.9390 | |
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| 0.9185 | 0.5 | 100 | 0.9332 | |
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| 0.9541 | 0.6 | 120 | 0.9282 | |
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| 1.0332 | 0.69 | 140 | 0.9252 | |
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| 1.0345 | 0.79 | 160 | 0.9229 | |
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| 1.0117 | 0.89 | 180 | 0.9217 | |
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| 1.0495 | 0.99 | 200 | 0.9216 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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