| --- |
| base_model: mistralai/Mistral-7B-Instruct-v0.2 |
| library_name: peft |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| - LoRa |
| model-index: |
| - name: mistral-7b-sql |
| results: [] |
| --- |
| |
| # mistral-7b-sql |
|
|
| This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the Hyper dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0316 |
|
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|
|
| ## Intended uses & limitations |
|
|
| This model is intended to be used for Text-to-SQL tasks, such as an interface for querying a database in natural language. |
|
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|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 2.3669 | 0.9231 | 3 | 2.0030 | |
| | 1.9273 | 1.8462 | 6 | 1.6669 | |
| | 1.5048 | 2.7692 | 9 | 1.4241 | |
| | 0.915 | 4.0 | 13 | 1.2316 | |
| | 0.9884 | 4.9231 | 16 | 1.1354 | |
| | 0.8136 | 5.8462 | 19 | 1.0745 | |
| | 0.684 | 6.7692 | 22 | 1.0422 | |
| | 0.4341 | 8.0 | 26 | 1.0330 | |
| | 0.526 | 8.9231 | 29 | 1.0319 | |
| | 0.3763 | 9.2308 | 30 | 1.0316 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.41.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
