This model is a fine-tuned version of openai/whisper-large-v3-turbo on the ambient_noise_audio dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.1497
eval_runtime: 392.7243
eval_samples_per_second: 1.467
eval_steps_per_second: 1.467
epoch: 2.0
step: 48
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: 0.0002
train_batch_size: 6
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
