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anuragshas/wav2vec2-large-xls-r-300m-hi

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.03.8 GBother✓ 4 checksumsupdated today
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wav2vec2-large-xls-r-300m-hi

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4156
  • Wer: 0.7181

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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Wer
5.7703 2.72 400 2.2274 0.9259
0.6515 5.44 800 1.5812 0.7581
0.339 8.16 1200 2.0590 0.7825
0.2262 10.88 1600 2.0324 0.7603
0.1665 13.6 2000 2.1396 0.7481
0.1311 16.33 2400 2.2090 0.7379
0.1079 19.05 2800 2.3907 0.7612
0.0927 21.77 3200 2.5294 0.7478
0.0748 24.49 3600 2.5024 0.7452
0.0644 27.21 4000 2.4715 0.7307
0.0569 29.93 4400 2.4156 0.7181

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3