---
library_name: peft
license: mit
base_model: fxmarty/tiny-dummy-qwen2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 68ca8256-f728-4013-bfeb-96b471fa39e4
  results: []
---

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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>

# 68ca8256-f728-4013-bfeb-96b471fa39e4

This model is a fine-tuned version of [fxmarty/tiny-dummy-qwen2](https://huggingface.co/fxmarty/tiny-dummy-qwen2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.9186

## 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: 0.000218
- 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        | 0.0002 | 1    | 11.9326         |
| 11.9241       | 0.0118 | 50   | 11.9226         |
| 11.9204       | 0.0235 | 100  | 11.9212         |
| 11.9203       | 0.0353 | 150  | 11.9210         |
| 11.922        | 0.0470 | 200  | 11.9204         |
| 11.9189       | 0.0588 | 250  | 11.9196         |
| 11.9197       | 0.0705 | 300  | 11.9192         |
| 11.9188       | 0.0823 | 350  | 11.9188         |
| 11.921        | 0.0941 | 400  | 11.9187         |
| 11.9191       | 0.1058 | 450  | 11.9187         |
| 11.917        | 0.1176 | 500  | 11.9186         |


### Framework versions

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