Qwen3-8B_15120631

This model is a fine-tuned version of Qwen/Qwen3-8B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6211
• Accuracy: 0.6598

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• 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: 0.05
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6657	0.1000	536	0.6852	0.5956
0.6669	0.2001	1072	0.6403	0.6416
0.6353	0.3001	1608	0.6329	0.6465
0.6185	0.4001	2144	0.6260	0.6551
0.6324	0.5002	2680	0.6272	0.6543
0.6265	0.6002	3216	0.6239	0.6515
0.5898	0.7003	3752	0.6249	0.6569
0.6083	0.8003	4288	0.6217	0.6599
0.6133	0.9003	4824	0.6211	0.6598

Framework versions

• PEFT 0.18.0
• Transformers 4.57.3
• Pytorch 2.9.1+cu128
• Datasets 4.4.2
• Tokenizers 0.22.1