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--- |
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base_model: mistralai/Mistral-7B-Instruct-v0.1 |
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datasets: |
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- generator |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: mistral_recipe1m_5500 |
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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_recipe1m_5500 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1857 |
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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: 4 |
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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: 3 |
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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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| 1.3671 | 0.1081 | 20 | 1.3132 | |
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| 1.2542 | 0.2162 | 40 | 1.2499 | |
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| 1.2247 | 0.3243 | 60 | 1.2297 | |
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| 1.2297 | 0.4324 | 80 | 1.2183 | |
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| 1.2271 | 0.5405 | 100 | 1.2078 | |
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| 1.2063 | 0.6486 | 120 | 1.2005 | |
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| 1.2123 | 0.7568 | 140 | 1.1947 | |
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| 1.1968 | 0.8649 | 160 | 1.1903 | |
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| 1.2038 | 0.9730 | 180 | 1.1857 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
