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--- |
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base_model: mistralai/Mistral-7B-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: mistral_fine_tuned |
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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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](None) |
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# mistral_fine_tuned |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7497 |
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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: 2e-05 |
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- train_batch_size: 15 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.3433 | 0.1 | 10 | 2.8619 | |
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| 2.3427 | 0.2 | 20 | 2.3762 | |
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| 1.9334 | 0.3 | 30 | 2.0743 | |
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| 1.796 | 0.4 | 40 | 1.9626 | |
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| 1.8265 | 0.5 | 50 | 1.9076 | |
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| 1.7717 | 0.6 | 60 | 1.9241 | |
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| 1.597 | 0.7 | 70 | 1.8398 | |
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| 1.5922 | 0.8 | 80 | 1.8226 | |
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| 1.5468 | 0.9 | 90 | 1.7813 | |
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| 1.695 | 1.0 | 100 | 1.7497 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
