boyuzhuGPT/qwen2_5_omni_text_image_half

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qwen25omnitextimage_half

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7678
• —Token Acc: 0.7693

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: 0.0001
• —trainbatchsize: 2
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.8.0+cu128
• —Datasets 3.6.0
• —Tokenizers 0.22.1