---
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
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# 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