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metadata
language:
  - ml
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - thennal/imasc
metrics:
  - wer
model-index:
  - name: Whisper Small Ml - IMaSC
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: ICFOSS Malayalam Speech Corpus
          type: thennal/imasc
          config: ml
          split: test
          args: ml
        metrics:
          - name: Wer
            type: wer
            value: 10.945945945945947

Whisper Small Ml - IMaSC

This model is a fine-tuned version of openai/whisper-small on the ICFOSS Malayalam Speech Corpus dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0244
  • Wer: 10.9459
  • Cer: 1.7890

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: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2