Qwen3-4B-Base-faquad
This model is a fine-tuned version of Qwen/Qwen3-4B-Base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9271
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 |
|---|---|---|---|
| 0.2827 | 1.0 | 782 | 1.3027 |
| 0.142 | 2.0 | 1564 | 1.5038 |
| 0.0994 | 3.0 | 2346 | 1.6675 |
| 0.087 | 4.0 | 3128 | 1.7409 |
| 0.0803 | 5.0 | 3910 | 1.8365 |
| 0.0807 | 6.0 | 4692 | 1.8826 |
| 0.0763 | 7.0 | 5474 | 1.9170 |
| 0.0764 | 8.0 | 6256 | 1.9271 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for g-assismoraes/Qwen3-4B-Base-faquad
Base model
Qwen/Qwen3-4B-Base