---
library_name: peft
license: apache-2.0
base_model: unsloth/codegemma-2b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: a7c9fd50-c061-4752-b720-b2d3d69762bc
  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>

# a7c9fd50-c061-4752-b720-b2d3d69762bc

This model is a fine-tuned version of [unsloth/codegemma-2b](https://huggingface.co/unsloth/codegemma-2b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5859

## 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: 0.000207
- 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        | 0.0000 | 1    | 2.9066          |
| 1.6797        | 0.0016 | 50   | 1.8520          |
| 1.6838        | 0.0032 | 100  | 1.8346          |
| 1.8328        | 0.0049 | 150  | 1.7967          |
| 1.6822        | 0.0065 | 200  | 1.7772          |
| 1.7255        | 0.0081 | 250  | 1.7434          |
| 1.5466        | 0.0097 | 300  | 1.6769          |
| 1.5499        | 0.0113 | 350  | 1.6311          |
| 1.549         | 0.0130 | 400  | 1.6061          |
| 1.5332        | 0.0146 | 450  | 1.5877          |
| 1.4883        | 0.0162 | 500  | 1.5859          |


### Framework versions

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