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metadata
language:
  - sr
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Medium Serbian - Drishti Sharma
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 11.0
          type: mozilla-foundation/common_voice_11_0
          config: sr
          split: test
          args: sr
        metrics:
          - name: Wer
            type: wer
            value: 11.614730878186968

Whisper Medium Serbian - Drishti Sharma

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

  • Loss: 0.3873
  • Wer: 11.6147

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: 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: 100
  • training_steps: 800
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.1691 1.89 100 0.2398 13.5977
0.0571 3.77 200 0.2419 12.7479
0.0225 5.66 300 0.2869 12.2218
0.0108 7.55 400 0.3085 12.2622
0.0121 9.43 500 0.3478 11.6147
0.0015 11.32 600 0.3702 11.5338
0.0005 13.21 700 0.3839 11.6147
0.0005 15.09 800 0.3873 11.6147

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2