Qwen3-0.6B_5ep_lora_v0

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

• Loss: 0.0130

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: 2
• eval_batch_size: 2
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• 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: 20
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0049	1.0	388	0.0194
0.0047	2.0	776	0.0147
0.0041	3.0	1164	0.0132
0.0047	4.0	1552	0.0141
0.0029	5.0	1940	0.0130

Framework versions

• PEFT 0.18.0
• Transformers 4.57.3
• Pytorch 2.4.0
• Datasets 4.4.1
• Tokenizers 0.22.1