qwen3-finetuned
This model is a fine-tuned version of Qwen/Qwen3-0.6B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9622
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: 8
- seed: 42
- distributed_type: not_parallel
- gradient_accumulation_steps: 8
- total_train_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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8786 | 1.0 | 1236 | 2.0697 |
| 1.8077 | 2.0 | 2472 | 1.9697 |
| 1.6879 | 3.0 | 3708 | 1.9622 |
Framework versions
- Transformers 5.15.0
- Pytorch 2.7.1+cu118
- Datasets 5.0.1
- Tokenizers 0.22.2