This model is a fine-tuned version of guilhermebastos96/whisper_small_finetuning on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.5042
eval_wer: 25.5376
eval_runtime: 2753.7295
eval_samples_per_second: 3.438
eval_steps_per_second: 0.43
epoch: 19.3384
step: 38000
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
