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wav2vec2-nepali-asr

This model is a fine-tuned version of Strange18/wav2vec2-nepali-asr on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3957
  • Wer: 0.3705

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.7578 1.5464 75 0.5105 0.4879
0.6844 3.0928 150 0.4736 0.4575
0.6367 4.6392 225 0.4586 0.4291
0.5977 6.1856 300 0.4387 0.4170
0.5714 7.7320 375 0.4350 0.4170
0.5815 9.2784 450 0.4255 0.4109
0.5629 10.8247 525 0.4260 0.4049

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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