---
library_name: transformers
license: other
# base_model: /home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: reasoning_test
  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. -->

# reasoning_test

<!-- This model is a fine-tuned version of [/home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step](https://huggingface.co//home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step) on the reasoning_test dataset. -->
It achieves the following results on the evaluation set:
- Loss: 0.0904

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- total_eval_batch_size: 2
- 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: 25.0

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.0385        | 3.5039  | 25   | 0.0498          |
| 0.0047        | 7.1260  | 50   | 0.0598          |
| 0.001         | 10.6299 | 75   | 0.0682          |
| 0.0002        | 14.2520 | 100  | 0.0857          |
| 0.0           | 17.7559 | 125  | 0.0882          |
| 0.0           | 21.3780 | 150  | 0.0904          |
| 0.0           | 24.8819 | 175  | 0.0904          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
