rzheng18/Qwen3_8B_Android_RAG_T3A_short

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Qwen38BAndroidRAGT3A_short

This model is a fine-tuned version of Qwen/Qwen3-8B on the UI-Simulator-Android-RAG-T3A-short 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: 1e-05
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 6
• —totaltrainbatch_size: 48
• —totalevalbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1.0

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.9.1+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.1