CoolFace
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maratos/checkpoints_1

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

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whisper-arpa

This model is a fine-tuned version of openai/whisper-small.en on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0186
  • Wer: 2.9762
  • Cer: 1.0999

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: 5e-05
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 1000
  • num_epochs: 1
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepCerValidation LossWer
0.05290.571650003.55320.04947.8609
0.0281.1432100005.56560.04139.7632
0.02981.7149150002.99260.03506.4210
0.01332.2865200002.18960.03225.0360
0.01052.8581250002.07950.03074.7797

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1