---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 001f6180-81db-4962-9193-d8a4d64343a1
  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>

# 001f6180-81db-4962-9193-d8a4d64343a1

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: 1.9297

## 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: 0.000202
- train_batch_size: 4
- eval_batch_size: 4
- seed: 20
- 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    | 3.0709          |
| 2.0757        | 0.0027 | 50   | 2.3378          |
| 2.3127        | 0.0053 | 100  | 2.2303          |
| 2.0277        | 0.0080 | 150  | 2.2053          |
| 1.8988        | 0.0107 | 200  | 2.1351          |
| 1.9091        | 0.0133 | 250  | 2.0794          |
| 2.0524        | 0.0160 | 300  | 2.0210          |
| 1.8683        | 0.0186 | 350  | 1.9792          |
| 1.9059        | 0.0213 | 400  | 1.9474          |
| 1.8299        | 0.0240 | 450  | 1.9319          |
| 1.865         | 0.0266 | 500  | 1.9297          |


### Framework versions

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