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---
license: llama2
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: sqlcoder_7b_fullft_ds7_linear
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sqlcoder_7b_fullft_ds7_linear
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3517
- Sql Exact Match String: 0
- Tokens Match Avg: 0.9014
- First Index Mismatch Avg: 2.2356
- Mean Mismatch I Diff Avg: 12.5313
- Count Mismatch I Diff Avg: 6.2756
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 16
- 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
- training_steps: 600
### Training results
| 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:----------------:|:------------------------:|:------------------------:|:-------------------------:|
| 0.14 | 0.1 | 100 | 0.3510 | 0 | 0.8940 | 2.0844 | 11.4371 | 6.88 |
| 0.1083 | 0.2 | 200 | 0.3677 | 0 | 0.8930 | 2.1733 | 11.3445 | 6.6044 |
| 0.0912 | 0.3 | 300 | 0.3710 | 0 | 0.8953 | 2.2444 | 12.0020 | 6.44 |
| 0.0699 | 0.4 | 400 | 0.3598 | 0 | 0.8996 | 2.1778 | 12.3582 | 6.3289 |
| 0.0619 | 0.5 | 500 | 0.3516 | 0 | 0.9010 | 2.2489 | 12.6065 | 6.2756 |
| 0.0766 | 0.6 | 600 | 0.3517 | 0 | 0.9014 | 2.2356 | 12.5313 | 6.2756 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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