results_reasoning
This model is a fine-tuned version of Qwen/Qwen2-1.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1248
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 2025
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2004 | 1.0 | 91 | 1.1248 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.2.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 194
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for vxing/Qwen2-1.5B-Instruct-Codeforces-Reasoning
Base model
Qwen/Qwen2-1.5B-Instruct