sms_adapter
This model is a fine-tuned version of Qwen/Qwen2.5-3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3455
- Accuracy: 0.923
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: 16
- eval_batch_size: 16
- seed: 42
- 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7771 | 0.8881 | 500 | 0.3763 | 0.871 |
| 0.2888 | 1.7762 | 1000 | 0.3110 | 0.897 |
| 0.1767 | 2.6643 | 1500 | 0.3098 | 0.922 |
| 0.1337 | 3.5524 | 2000 | 0.3240 | 0.93 |
| 0.0885 | 4.4405 | 2500 | 0.3455 | 0.923 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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Base model
Qwen/Qwen2.5-3B