---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 4bcddbcf-4281-41b1-a833-10972465d35a
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<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>

# 4bcddbcf-4281-41b1-a833-10972465d35a

This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7785

## 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: 0.000206
- train_batch_size: 4
- eval_batch_size: 4
- seed: 60
- 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        | 0.0008 | 1    | 1.3634          |
| 1.1513        | 0.0422 | 50   | 0.9595          |
| 1.0255        | 0.0845 | 100  | 0.8725          |
| 1.0269        | 0.1267 | 150  | 0.9712          |
| 1.0007        | 0.1690 | 200  | 0.8601          |
| 1.0251        | 0.2112 | 250  | 0.8510          |
| 1.0061        | 0.2535 | 300  | 0.8201          |
| 0.8437        | 0.2957 | 350  | 0.7942          |
| 0.9391        | 0.3380 | 400  | 0.7827          |
| 0.7186        | 0.3802 | 450  | 0.7775          |
| 0.7295        | 0.4225 | 500  | 0.7785          |


### Framework versions

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