---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 65d5a49c-131a-4264-bdee-0528e6e3269d
  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>

# 65d5a49c-131a-4264-bdee-0528e6e3269d

This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5064

## 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: 180
- 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        | 0.0009 | 1    | 1.9540          |
| 1.4327        | 0.0430 | 50   | 1.7293          |
| 1.4125        | 0.0859 | 100  | 1.7308          |
| 1.4084        | 0.1289 | 150  | 1.7576          |
| 1.3948        | 0.1718 | 200  | 1.6833          |
| 1.4067        | 0.2148 | 250  | 1.6334          |
| 1.479         | 0.2577 | 300  | 1.5825          |
| 1.447         | 0.3007 | 350  | 1.5370          |
| 1.1546        | 0.3436 | 400  | 1.5104          |
| 1.2333        | 0.3866 | 450  | 1.5094          |
| 1.3885        | 0.4296 | 500  | 1.5064          |


### Framework versions

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