---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: MATH_training_response_Qwen2.5_3B
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MATH_training_response_Qwen2.5_3B

This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the MATH_training_response_Qwen2.5_3B dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1318

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.1506        | 0.3559 | 200  | 0.1348          |
| 0.1648        | 0.7117 | 400  | 0.1296          |
| 0.0422        | 1.0676 | 600  | 0.1409          |
| 0.0392        | 1.4235 | 800  | 0.1355          |
| 0.0414        | 1.7794 | 1000 | 0.1321          |


### Framework versions

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