Qwen3-1.7B-Base-assin2
This model is a fine-tuned version of Qwen/Qwen3-1.7B-Base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3163
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: 4
- eval_batch_size: 4
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3815 | 1.0 | 1625 | 0.3663 |
| 0.2801 | 2.0 | 3250 | 0.3178 |
| 0.2265 | 3.0 | 4875 | 0.3040 |
| 0.2029 | 4.0 | 6500 | 0.3024 |
| 0.1833 | 5.0 | 8125 | 0.3073 |
| 0.1848 | 6.0 | 9750 | 0.3118 |
| 0.1729 | 7.0 | 11375 | 0.3139 |
| 0.1706 | 8.0 | 13000 | 0.3163 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 1
Model tree for g-assismoraes/Qwen3-1.7B-Base-assin2
Base model
Qwen/Qwen3-1.7B-Base