This model is a fine-tuned version of openai/whisper-medium on the Common Voice 13 + Shaafiu dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.1756
eval_wer_ortho: 48.9192
eval_wer: 8.3095
eval_runtime: 837.3987
eval_samples_per_second: 2.645
eval_steps_per_second: 0.331
epoch: 2.5840
step: 2000
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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
