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Whisper tiny Hindi

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7189

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.001
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.575 0.4484 100 0.8603
0.6631 0.8969 200 0.7189

Framework versions

  • PEFT 0.11.2.dev0
  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.3.dev0
  • Tokenizers 0.19.1
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Dataset used to train Ellight/whisper-tiny-hi

Evaluation results