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Maverick1713/wav2vec2-Pratyush-indian

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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wav2vec2-Pratyush-indian

This model is a fine-tuned version of Maverick1713/wav2vec2-Pratyush-indian on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5013
  • Wer: 0.3597

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: 0.0002
  • trainbatchsize: 2
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 10
  • totaltrainbatch_size: 20
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 15
  • num_epochs: 4
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
1.3640.55645001.01130.5532
1.16261.112810000.85820.5019
0.97741.669315000.72450.4492
0.84622.225720000.66480.4191
0.74162.782125000.57210.3959
0.65953.338530000.53790.3723
0.59483.894935000.50130.3597

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1