qwen3-8b-lora-mixed

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

• Loss: 1.2397

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.03
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.0282	0.3265	200	1.2665
1.0039	0.6531	400	1.2441
1.0117	0.9796	600	1.2399

Framework versions

• PEFT 0.17.1
• Transformers 4.57.1
• Pytorch 2.9.1+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2