qwen_medical_sft

This model is a fine-tuned version of unsloth/Qwen3-8B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2534

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: 4
• eval_batch_size: 4
• seed: 3407
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• 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_steps: 20
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.3108	0.3419	50	1.2761
1.232	0.6838	100	1.2534

Framework versions

• PEFT 0.18.0
• Transformers 4.56.2
• Pytorch 2.8.0+cu128
• Datasets 4.3.0
• Tokenizers 0.22.1