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--- |
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license: apache-2.0 |
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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: mistralai/Mistral-7B-Instruct-v0.2 |
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model-index: |
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- name: mistral-sql-finetune |
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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-sql-finetune |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0305 |
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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: 2.5e-05 |
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- train_batch_size: 2 |
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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: linear |
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- lr_scheduler_warmup_steps: 1 |
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- training_steps: 300 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.1899 | 0.17 | 25 | 0.3116 | |
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| 0.1795 | 0.33 | 50 | 0.1088 | |
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| 0.0819 | 0.5 | 75 | 0.0425 | |
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| 0.0453 | 0.67 | 100 | 0.0419 | |
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| 0.0534 | 0.83 | 125 | 0.0382 | |
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| 0.0338 | 1.0 | 150 | 0.0315 | |
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| 0.0358 | 1.17 | 175 | 0.0345 | |
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| 0.0336 | 1.33 | 200 | 0.0334 | |
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| 0.0401 | 1.5 | 225 | 0.0322 | |
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| 0.0326 | 1.67 | 250 | 0.0308 | |
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| 0.0396 | 1.83 | 275 | 0.0309 | |
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| 0.0307 | 2.0 | 300 | 0.0305 | |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
