This model is a fine-tuned version of openai/whisper-medium on the IoanaLivia/RealVoiceSynthVoice-2000-1-Emil-Neural dataset.
It achieves the following results on the evaluation set:
Loss: 0.2238
Wer: 8.1689
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: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
