---
base_model: Qwen/Qwen2-Math-7B
library_name: peft
license: other
tags:
- llama-factory
- lora
- unsloth
- generated_from_trainer
model-index:
- name: save
  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. -->

# save

This model is a fine-tuned version of [Qwen/Qwen2-Math-7B](https://huggingface.co/Qwen/Qwen2-Math-7B) on the Pretrain_Basic_low dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4874

## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4953        | 0.4333 | 500  | 0.4938          |
| 0.4909        | 0.8666 | 1000 | 0.4874          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1