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rajat99/SSL-Harveen-Chadda-Fine-Tuning

sourceHugging Facemitupdated 4y agoView on Hugging Face
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SSL-Harveen-Chadda-Fine-Tuning

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0032
  • Wer: 0.1008

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: 16
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 500
  • num_epochs: 30

Training results

Training LossEpochStepValidation LossWer
4.37934.174000.53470.2584
0.21378.338000.83390.2664
0.128212.512000.17850.1414
0.069816.6616000.01350.1066
0.035420.8320000.03510.1179
0.021224.9924000.01040.1035
0.006629.1728000.00320.1008

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.10.3