camel_qwen_sft

This model is a fine-tuned version of Qwen/Qwen3-0.6B-Base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5013

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 6
• total_train_batch_size: 24
• 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: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.5374	0.1212	500	0.5227
0.5229	0.2424	1000	0.5129
0.5135	0.3636	1500	0.5077
0.5113	0.4848	2000	0.5045
0.51	0.6061	2500	0.5027
0.5119	0.7273	3000	0.5017
0.5069	0.8485	3500	0.5014
0.508	0.9697	4000	0.5013

Framework versions

• Transformers 4.51.3
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0