This model is a fine-tuned version of openai/whisper-small on the Common Voice 13.0 + micsell/common_voice_en(en subset) dataset.
It achieves the following results on the evaluation set:
eval_loss: 3.6185
eval_cer: 15.7285
eval_wer: 33.5616
eval_both_er: 25.3465
eval_runtime: 9.1534
eval_samples_per_second: 3.277
eval_steps_per_second: 3.277
epoch: 40.0
step: 40
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: 16
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
