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AchrafTasfaout/Mistral-7B-SQL

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+ base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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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-7b-sql
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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-7b-sql
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+ This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None 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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+ ## 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: 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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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