metadata
library_name: transformers
license: apache-2.0
base_model: open-r1/OpenR1-Qwen-7B
tags:
- generated_from_trainer
model-index:
- name: open_r1
results: []
open_r1
This model is a fine-tuned version of 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