training_results
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: 0.3345
- F1: 0.7726
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2853 | 1.0 | 1071 | 0.2093 | 0.7665 |
| 0.0465 | 2.0 | 2142 | 0.2988 | 0.7690 |
| 0.0143 | 3.0 | 3213 | 0.3345 | 0.7726 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.2.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for vxing/Qwen2-1.5B-Instruct-Codeforces
Base model
Qwen/Qwen2-1.5B-Instruct