This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 TR dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.6641
eval_wer: 65.9525
eval_runtime: 4603.4147
eval_samples_per_second: 2.203
eval_steps_per_second: 0.275
epoch: 2.21
step: 5000
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: 0.0001
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
