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
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