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

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

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: 13.9174

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
561742.31250.1117103654.1487
0.33730.22352016.0614
4.74070.33523020.0628
13.08830.44694016.9850
0.28470.55875014.4631
0.85030.67046016.1353
0.39880.78217016.5311
0.17850.89398016.1144
0.15241.09017.1748
0.14471.111710015.2639
0.41071.223511014.7690
0.40081.335212012.9608
0.05641.446913011.9789
1.74561.558714014.9167
0.13891.670415015.7580
0.05531.782116017.4344
0.10961.893917014.6135
0.07142.018017.3837
0.09312.111719016.1148
0.09192.223520015.9285
0.51422.335221014.0383
0.29682.446922016.4832
0.04832.558723016.1801
0.03272.670424013.8616
0.04052.782125017.9884
0.09272.893926013.9174

Framework versions

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