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Whisper tiny Hindi

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5538
  • Wer: 41.5453

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: 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: 50
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.7718 0.73 100 0.8130 55.6890
0.5169 1.47 200 0.6515 48.2517
0.3986 2.21 300 0.6001 44.9931
0.3824 2.94 400 0.5720 43.5171
0.3328 3.67 500 0.5632 42.5112
0.2919 4.41 600 0.5594 42.7863
0.2654 5.15 700 0.5552 41.6428
0.2618 5.88 800 0.5530 41.8893
0.2442 6.62 900 0.5539 41.5740
0.238 7.35 1000 0.5538 41.5453

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train shripadbhat/whisper-tiny-hi-1000steps

Evaluation results