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