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TakalaWang/Discussion-Phi-4-multimodal-instruct-audio-level

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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Discussion-Phi-4-multimodal-instruct-audio-level

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: 14.8465

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
4.40850.22351015.3387
0.24990.44692014.8507
0.22770.67043014.7963
0.29770.89394014.8726
0.24561.11175014.8255
0.19691.33526014.9068
0.26611.55877014.7583
0.16881.78218014.9709
0.09462.09014.7753
0.19482.223510014.7443
0.08792.446911014.7647
0.0572.670412014.8623
0.02592.893913014.8465

Framework versions

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