auv-codec-fisher
This model is a fine-tuned version of Qwen/Qwen3-4B-Instruct-2507 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 11.9942
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 11.9922 | 1.0 | 21597 | 11.9942 |
Framework versions
- PEFT 0.15.0
- Transformers 4.57.3
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0