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rishabhjain16/whisper_large_v2_to_myst_cmu

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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openai/whisper-large-v2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2381
  • —Wer: 11.1244

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: 1e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 4000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.36390.125000.251212.9597
0.19310.2510000.212312.1414
0.3291.0815000.206411.5818
0.0971.2120000.205010.9775
0.05222.0425000.225810.4390
0.10262.1730000.220111.7017
0.04483.035000.228710.3873
0.04553.1340000.238111.1244

Framework versions

  • —Transformers 4.27.0.dev0
  • —Pytorch 1.13.1+cu117
  • —Datasets 2.9.1.dev0
  • —Tokenizers 0.13.2