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

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Discussion-Phi-4-multimodal-instruct-audio-dimp-alpha

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: 13.3911

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

Training LossEpochStepValidation Loss
614700.6250.1117103857.8706
0.09890.22352016.7370
2.17030.33523015.6149
22.09240.44694014.3853
0.17290.55875015.3640
0.47870.67046012.0508
0.44420.78217011.0306
0.06530.89398011.0157
0.02551.09013.1966
0.02581.111710013.2358
0.35991.223511015.2634
0.05371.335212016.0396
0.01991.446913014.4705
0.16351.558714012.5128
0.03981.670415013.3947
0.01571.782116012.4733
0.04941.893917012.6727
0.01032.018012.1961
0.02842.111719013.5831
0.01932.223520012.4818
0.04812.335221013.1176
0.06252.446922015.4632
0.02432.558723012.9704
0.01322.670424015.8782
0.01282.782125014.8728
0.02392.893926013.3911

Framework versions

  • —Transformers 4.51.3
  • —Pytorch 2.4.1+cu124
  • —Datasets 3.6.0
  • —Tokenizers 0.21.1