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whisper_marathi_small_V1

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

  • Loss: 0.2754
  • Wer: 45.0068

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.4794 0.41 100 0.4754 59.9317
0.3121 0.81 200 0.3161 52.8786
0.2051 1.22 300 0.2900 50.2547
0.1887 1.63 400 0.2779 48.1336
0.16 2.03 500 0.2679 46.2639
0.1131 2.44 600 0.2706 45.8449
0.1128 2.85 700 0.2658 45.1551
0.0678 3.25 800 0.2763 45.2195
0.075 3.66 900 0.2769 45.7611
0.0609 4.07 1000 0.2754 45.0068

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2
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Dataset used to train vittai23/whisper-small-marathiV3

Evaluation results