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saurabhy27-outcomes/Phi-4-mm-inst-asr

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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Phi-4-mm-inst-asr

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: 0.0043

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: 0.0001
  • —trainbatchsize: 2
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.99) and epsilon=1e-07 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 1

Training results

Training LossEpochStepValidation Loss
0.01661.012750.0043

Framework versions

  • —Transformers 4.51.3
  • —Pytorch 2.8.0.dev20250319+cu128
  • —Datasets 3.6.0
  • —Tokenizers 0.21.1