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

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Discussion-Phi-4-multimodal-instruct-audio-level-test

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: 14.8321

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
4.3930.22351015.2023
0.26190.44692014.7785
0.21710.67043014.8554
0.31950.89394014.9321
0.23021.11175014.8080
0.1871.33526014.8113
0.28441.55877014.8289
0.1771.78218014.8365
0.11342.09014.8888
0.15342.223510014.8262
0.08922.446911014.7385
0.05542.670412014.8482
0.02612.893913014.8321

Framework versions

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