qwen3-8b-lora-yihong

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: 3.6524

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: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.9799	0.3594	200	3.9274
3.7226	0.7188	400	3.7917
3.5787	1.0773	600	3.7117
3.4578	1.4367	800	3.6702
3.301	1.7960	1000	3.6540

Framework versions

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