---
library_name: peft
license: cc-by-sa-4.0
base_model: defog/sqlcoder-7b-2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: bc53e5d4-b97f-4b35-8191-2add28a51b13
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# bc53e5d4-b97f-4b35-8191-2add28a51b13

This model is a fine-tuned version of [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2131

## 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: 0.000206
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0012 | 1    | 1.9877          |
| 1.4293        | 0.0591 | 50   | 1.4429          |
| 1.3111        | 0.1183 | 100  | 1.3855          |
| 1.313         | 0.1774 | 150  | 1.3495          |
| 1.2525        | 0.2365 | 200  | 1.3043          |
| 1.2891        | 0.2957 | 250  | 1.2808          |
| 1.1971        | 0.3548 | 300  | 1.2492          |
| 1.2022        | 0.4140 | 350  | 1.2360          |
| 1.2145        | 0.4731 | 400  | 1.2228          |
| 1.2405        | 0.5322 | 450  | 1.2150          |
| 1.226         | 0.5914 | 500  | 1.2131          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1