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UDA-LIDI/openai-whisper-large-fullFT-es_ecu911_V2martin_win30s

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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Whisper openai-whisper-large

This model is a fine-tuned version of openai/whisper-large on the llamadas ecu911 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2752
  • —Wer: 21.9973

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: 2e-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 8
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.52130.99803790.317728.9193
0.19021.99877590.280726.8399
0.10432.999311390.260520.3420
0.06044.015190.265317.9070
0.04244.998018980.263216.4979
0.20155.998722780.286918.2353
0.02576.999326580.271416.4979
0.02368.030380.275918.3584
0.01988.998034170.270015.5267
0.01569.980337900.275221.9973

Framework versions

  • —Transformers 4.45.2
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.0.1
  • —Tokenizers 0.20.1