Qwen3-8B_17646861

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: 0.6066
• Accuracy: 0.6801

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
0.6503	0.1003	244	0.6892	0.5896
0.6364	0.2006	488	0.6464	0.6412
0.6312	0.3009	732	0.6322	0.6508
0.6092	0.4012	976	0.6172	0.6696
0.6399	0.5014	1220	0.6155	0.6673
0.5885	0.6017	1464	0.6120	0.6746
0.6144	0.7020	1708	0.6100	0.6777
0.6014	0.8023	1952	0.6070	0.6782
0.5877	0.9026	2196	0.6066	0.6801

Framework versions

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