---
library_name: peft
license: cc-by-sa-4.0
base_model: defog/sqlcoder-7b-2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: ec3ecf5b-38f9-48fe-ad45-8a59be2eb0bf
  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>

# ec3ecf5b-38f9-48fe-ad45-8a59be2eb0bf

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: 0.8749

## 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: 0.000202
- train_batch_size: 4
- eval_batch_size: 4
- seed: 20
- 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        | 0.0002 | 1    | 1.2318          |
| 1.7663        | 0.0099 | 50   | 1.0730          |
| 1.6198        | 0.0198 | 100  | 1.0748          |
| 1.4616        | 0.0297 | 150  | 1.0415          |
| 1.4939        | 0.0396 | 200  | 0.9482          |
| 1.5626        | 0.0495 | 250  | 0.9262          |
| 1.4139        | 0.0594 | 300  | 0.9080          |
| 1.4594        | 0.0693 | 350  | 0.8916          |
| 1.4237        | 0.0792 | 400  | 0.8824          |
| 1.2102        | 0.0891 | 450  | 0.8801          |
| 1.335         | 0.0990 | 500  | 0.8749          |


### Framework versions

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