Chaew00n/test-supervised-fine-tuning

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test-supervised-fine-tuning

This model is a fine-tuned version of Qwen/Qwen3-1.7B on an unknown dataset.

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: 5e-06
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.01
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.51.3
• —Pytorch 2.7.0+cu126
• —Datasets 3.2.0
• —Tokenizers 0.21.1