OfficerChul/Qwen2.5-VL-7B-Instruct-Android-Control-5a

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sft

This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the andctrlskt dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1610

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
• —trainbatchsize: 4
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 48
• —totaltrainbatch_size: 768
• —totalevalbatch_size: 4
• —optimizer: Use 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: 5.0

Training results

Framework versions

• —Transformers 4.56.1
• —Pytorch 2.5.0a0+b465a5843b.nv24.09
• —Datasets 3.0.1
• —Tokenizers 0.22.1