Shamik/distil-whisper-small-polyAI-minds14
06
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Distil Whisper Small finetuned on PolyAI Minds14 English US.
This model is a fine-tuned version of distil-whisper/distil-small.en on the Speech Transcription in English from e-banking domain. dataset. It achieves the following results on the evaluation set:
- Loss: 1.0182
- Wer Ortho: 0.3371
- Wer: 0.3318
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
- trainbatchsize: 16
- evalbatchsize: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: constantwithwarmup
- lrschedulerwarmup_steps: 50
- training_steps: 400
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0