---
library_name: peft
license: apache-2.0
base_model: unsloth/codegemma-7b-it
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 72b4d26e-415a-483a-9a29-c0ba284002d7
  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>

# 72b4d26e-415a-483a-9a29-c0ba284002d7

This model is a fine-tuned version of [unsloth/codegemma-7b-it](https://huggingface.co/unsloth/codegemma-7b-it) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2245

## 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: 0.000203
- train_batch_size: 4
- eval_batch_size: 4
- seed: 30
- 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        | 0.0001 | 1    | 0.3135          |
| 0.3585        | 0.0061 | 50   | 0.2435          |
| 0.3359        | 0.0121 | 100  | 0.2381          |
| 0.2896        | 0.0182 | 150  | 0.2366          |
| 0.3679        | 0.0242 | 200  | 0.2329          |
| 0.323         | 0.0303 | 250  | 0.2322          |
| 0.3061        | 0.0363 | 300  | 0.2281          |
| 0.2864        | 0.0424 | 350  | 0.2271          |
| 0.3025        | 0.0484 | 400  | 0.2264          |
| 0.2985        | 0.0545 | 450  | 0.2257          |
| 0.3217        | 0.0605 | 500  | 0.2245          |


### Framework versions

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