Cvwisework/qwen2.5-7b-passport_e1_train-fullds

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qwen2.5-7b-passporte1train-fullds

This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct 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: 0.0002
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.13.0
• —Transformers 4.53.0.dev0
• —Pytorch 2.7.1+cu126
• —Datasets 3.0.1
• —Tokenizers 0.21.1