---
library_name: transformers
license: apache-2.0
base_model: open-r1/OpenR1-Qwen-7B
tags:
- generated_from_trainer
model-index:
- name: open_r1
  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. -->

# open_r1

This model is a fine-tuned version of [open-r1/OpenR1-Qwen-7B](https://huggingface.co/open-r1/OpenR1-Qwen-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0084

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 224
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0811        | 0.196  | 49   | 0.0713          |
| 0.0502        | 0.392  | 98   | 0.0410          |
| 0.0364        | 0.588  | 147  | 0.0331          |
| 0.0289        | 0.784  | 196  | 0.0294          |
| 0.0276        | 0.98   | 245  | 0.0263          |
| 0.0255        | 1.176  | 294  | 0.0233          |
| 0.0217        | 1.3720 | 343  | 0.0208          |
| 0.0197        | 1.568  | 392  | 0.0178          |
| 0.0167        | 1.764  | 441  | 0.0155          |
| 0.0111        | 1.96   | 490  | 0.0136          |
| 0.0109        | 2.156  | 539  | 0.0124          |
| 0.0117        | 2.352  | 588  | 0.0109          |
| 0.0091        | 2.548  | 637  | 0.0097          |
| 0.0102        | 2.7440 | 686  | 0.0089          |
| 0.0086        | 2.94   | 735  | 0.0084          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0