---
library_name: transformers
license: other
base_model: Qwen/Qwen2-Math-1.5B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft_lr_5e-6_bs_128
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sft_lr_1e-6_bs_128

This model is a fine-tuned version of [Qwen/Qwen2-Math-1.5B](https://huggingface.co/Qwen/Qwen2-Math-1.5B) on the [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA) dataset.

## 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: 5e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 32
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1