qwen3-finetuned

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: 1.9846

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: 2
• eval_batch_size: 8
• 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: linear
• lr_scheduler_warmup_steps: 0.05
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.5711	1.0	1236	2.3270
2.0670	2.0	2472	2.0119
1.8923	3.0	3708	1.9846

Framework versions

• Transformers 5.3.0.dev0
• Pytorch 2.9.0+cu128
• Datasets 4.5.0
• Tokenizers 0.22.2