---
library_name: peft
license: other
base_model: unsloth/Qwen2.5-3B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 8ff920c3-8f38-418e-bf3e-9d31793cc601
  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>

# 8ff920c3-8f38-418e-bf3e-9d31793cc601

This model is a fine-tuned version of [unsloth/Qwen2.5-3B-Instruct](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4215

## 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: 0.000211
- 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    | 6.8915          |
| 0.2641        | 0.0036 | 50   | 0.7690          |
| 0.2898        | 0.0073 | 100  | 1.0130          |
| 0.2906        | 0.0109 | 150  | 0.8871          |
| 0.1973        | 0.0145 | 200  | 0.7212          |
| 0.3697        | 0.0182 | 250  | 0.6092          |
| 0.2572        | 0.0218 | 300  | 0.5360          |
| 0.2478        | 0.0254 | 350  | 0.4879          |
| 0.2501        | 0.0290 | 400  | 0.4442          |
| 0.2142        | 0.0327 | 450  | 0.4216          |
| 0.2525        | 0.0363 | 500  | 0.4215          |


### Framework versions

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