Qwen3-0.6B-finetune
This model is a fine-tuned version of unsloth/Qwen3-0.6B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0874
- Spearman: 0.1049
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Spearman |
|---|---|---|---|---|
| 0.1666 | 0.2458 | 1000 | 0.1346 | 0.0517 |
| 0.2532 | 0.4916 | 2000 | 0.0882 | 0.0918 |
| 0.0583 | 0.7375 | 3000 | 0.0913 | 0.1022 |
| 0.1103 | 0.9833 | 4000 | 0.0874 | 0.1049 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
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