Telugu-ASR This model is a fine-tuned version of Wav2Vec2 on the openslr dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2982
  • Wer: 0.2885

Model description

  • 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
6.6905 3.84 400 0.7109 0.7800
0.4532 7.69 800 0.2972 0.3977
0.1957 11.54 1200 0.2907 0.3522
0.1284 15.38 1600 0.3117 0.3317
0.0979 19.23 2000 0.3000 0.3353
0.0749 23.08 2400 0.2823 0.3045
0.0584 26.92 2800 0.2982 0.2885
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Dataset used to train Maverick1713/Telugu-ASR

Evaluation results