vanloc1808/qwen25vl-3b-edit-detection-20260325050137

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qwen25vl-3b-edit-detection-20260325050137

This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 4.4547

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: 16
• —evalbatchsize: 16
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 3
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 96
• —totalevalbatch_size: 48
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.03
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.3.0
• —Pytorch 2.10.0+cu128
• —Tokenizers 0.22.2