This model is a fine-tuned version of Sunbird/asr-whisper-large-v3-salt on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 0.8208
Wer: 0.6022
Cer: 0.3259
test_cer: 0.15645290229147257
test_wer: 0.4013357258930758
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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
