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medtalkai/wav2vec2-xls-r-1b-medical-domain02

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

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wav2vec2-xls-r-1b-medical-domain02

This model is a fine-tuned version of jonatasgrosman/wav2vec2-xls-r-1b-portuguese on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7948
  • —Wer: 0.7625

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: 0.0003
  • —trainbatchsize: 2
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 40
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
No log4.96891003.06891.0
No log9.93792000.64580.6539
No log14.90683000.40590.4748
2.426119.87584000.53750.5975
2.426124.84475000.79200.7268
2.426129.81376000.79150.7660
2.426134.78267000.79480.7625
0.722939.75168000.79480.7625

Framework versions

  • —Transformers 4.41.1
  • —Pytorch 2.1.2+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1