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whisper-medium.en-ft

Automatic Speech Recognition

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Whisper Medium.en - genevera

This model is a fine-tuned version of openai/whisper-medium.en on the Common Voice 11.0 dataset.

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 100
mixed_precision_training: Native AMP

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

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Automatic Speech Recognition

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Dataset used to train genevera/whisper-medium.en-ft

Evaluation results

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