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alessio21/minds14-finetuned

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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minds14-finetuned

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6602
  • —Wer Ortho: 0.3412
  • —Wer: 0.3578

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: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constantwithwarmup
  • —lrschedulerwarmup_steps: 50
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossWer OrthoWer
4.89521.0282.97860.40970.5373
2.03642.0560.77910.38130.4275
0.59033.0840.59170.35060.3917
0.32714.01120.56810.31290.3381
0.25435.01400.57130.33650.3652
0.13916.01680.58960.33290.3621
0.08467.01960.60830.33880.3658
0.04818.02240.62090.35830.3738
0.01489.02520.66250.34770.3689
0.008710.02800.66020.34120.3578

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3