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--- |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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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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- LoRa |
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model-index: |
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- name: mistral-7b-sql |
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results: [] |
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--- |
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# mistral-7b-sql |
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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 the Hyper dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0316 |
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## Intended uses & limitations |
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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 |
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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: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 2 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.3669 | 0.9231 | 3 | 2.0030 | |
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| 1.9273 | 1.8462 | 6 | 1.6669 | |
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| 1.5048 | 2.7692 | 9 | 1.4241 | |
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| 0.915 | 4.0 | 13 | 1.2316 | |
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| 0.9884 | 4.9231 | 16 | 1.1354 | |
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| 0.8136 | 5.8462 | 19 | 1.0745 | |
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| 0.684 | 6.7692 | 22 | 1.0422 | |
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| 0.4341 | 8.0 | 26 | 1.0330 | |
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| 0.526 | 8.9231 | 29 | 1.0319 | |
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| 0.3763 | 9.2308 | 30 | 1.0316 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
