This model is a fine-tuned version of openai/whisper-large-v3 on the 1003 FULL-2024-11-22 dataset.
It achieves the following results on the evaluation set:
Loss: 0.5210
Wer Ortho: 25.9578
Wer: 21.2796
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-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
