dsn_afrispeech / README.md
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metadata
language:
  - en
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - tobiolatunji/afrispeech-200
model-index:
  - name: Whisper Small En - Owos
    results: []

Whisper Small En - Owos

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

  • eval_loss: 0.6865
  • eval_wer: 29.3845
  • eval_runtime: 1774.5798
  • eval_samples_per_second: 1.691
  • eval_steps_per_second: 0.211
  • epoch: 0.06
  • step: 250

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: 8
  • 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: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.27.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3