TakalaWang/Discussion-Phi-4-multimodal-instruct-audio-dimp-reasoning

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Discussion-Phi-4-multimodal-instruct-audio-dimp-reasoning

This model is a fine-tuned version of microsoft/Phi-4-multimodal-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 16.1311

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: 4e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.95) and epsilon=1e-07 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.48.2
• —Pytorch 2.4.1+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1