---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-Math-7B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: MATH_training_Qwen_QwQ_32B_Preview
  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. -->

# MATH_training_Qwen_QwQ_32B_Preview

This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co./Qwen/Qwen2.5-Math-7B-Instruct) on the MATH_training_Qwen_QwQ_32B_Preview dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2995

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 8
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2734        | 0.2999 | 200  | 0.3187          |
| 0.2738        | 0.5997 | 400  | 0.2967          |
| 0.3223        | 0.8996 | 600  | 0.2878          |
| 0.1772        | 1.1994 | 800  | 0.3054          |
| 0.1444        | 1.4993 | 1000 | 0.3005          |
| 0.1154        | 1.7991 | 1200 | 0.2998          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3