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--- |
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license: llama2 |
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base_model: codellama/CodeLlama-7b-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: sqlcoder_7b_fullft_ds7_linear |
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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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# sqlcoder_7b_fullft_ds7_linear |
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This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3517 |
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- Sql Exact Match String: 0 |
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- Tokens Match Avg: 0.9014 |
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- First Index Mismatch Avg: 2.2356 |
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- Mean Mismatch I Diff Avg: 12.5313 |
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- Count Mismatch I Diff Avg: 6.2756 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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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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- training_steps: 600 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Sql Exact Match String | Tokens Match Avg | First Index Mismatch Avg | Mean Mismatch I Diff Avg | Count Mismatch I Diff Avg | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:----------------:|:------------------------:|:------------------------:|:-------------------------:| |
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| 0.14 | 0.1 | 100 | 0.3510 | 0 | 0.8940 | 2.0844 | 11.4371 | 6.88 | |
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| 0.1083 | 0.2 | 200 | 0.3677 | 0 | 0.8930 | 2.1733 | 11.3445 | 6.6044 | |
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| 0.0912 | 0.3 | 300 | 0.3710 | 0 | 0.8953 | 2.2444 | 12.0020 | 6.44 | |
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| 0.0699 | 0.4 | 400 | 0.3598 | 0 | 0.8996 | 2.1778 | 12.3582 | 6.3289 | |
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| 0.0619 | 0.5 | 500 | 0.3516 | 0 | 0.9010 | 2.2489 | 12.6065 | 6.2756 | |
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| 0.0766 | 0.6 | 600 | 0.3517 | 0 | 0.9014 | 2.2356 | 12.5313 | 6.2756 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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