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shg1421/whisper-large-v2-peft-decoder-b8

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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Whisper

This model is a fine-tuned version of openai/whisper-large-v2 on the immunology dataset dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1849

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: 0.001
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 50
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.18211.04400.2215
0.10122.08800.1844
0.08163.013200.1849

Framework versions

  • —PEFT 0.8.2
  • —Transformers 4.39.0.dev0
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.17.1
  • —Tokenizers 0.15.2