This model is a fine-tuned version of openai/whisper-small on the Romanian Speech Dataset + 5% Synthetic dataset.
It achieves the following results on the evaluation set:
Loss: 0.4248
Wer: 106.5981
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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
