---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-3B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 5ecc71a8-d301-438e-b591-988a613c4f15
  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>

# 5ecc71a8-d301-438e-b591-988a613c4f15

This model is a fine-tuned version of [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0072

## 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: 0.000201
- 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        | 0.0001 | 1    | 1.2122          |
| 1.5374        | 0.0042 | 50   | 1.0957          |
| 1.6613        | 0.0085 | 100  | 1.0716          |
| 1.5282        | 0.0127 | 150  | 1.0652          |
| 1.6984        | 0.0170 | 200  | 1.0494          |
| 1.7164        | 0.0212 | 250  | 1.0364          |
| 1.3901        | 0.0255 | 300  | 1.0229          |
| 1.6049        | 0.0297 | 350  | 1.0182          |
| 1.5117        | 0.0340 | 400  | 1.0120          |
| 1.4325        | 0.0382 | 450  | 1.0085          |
| 1.6073        | 0.0425 | 500  | 1.0072          |


### Framework versions

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