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wav2vec2-large-xlsr-hindi_commonvoice

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5947
  • Wer: 1.0

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
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
24.0069 4.0 20 40.3956 1.0
18.1097 8.0 40 15.3603 1.0
7.1344 12.0 60 5.2695 1.0
4.0032 16.0 80 3.7403 1.0
3.4894 20.0 100 3.5724 1.0
3.458 24.0 120 3.6164 1.0
3.4412 28.0 140 3.5947 1.0

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu102
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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Dataset used to train nikhil6041/wav2vec2-large-xlsr-hindi_commonvoice