This model is a fine-tuned version of openai/whisper-small on the Extracted Youtube with CommonVoice11, Fleurs, OpenSLR, and MagicData dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.3722
eval_wer: 20.3324
eval_runtime: 495.0068
eval_samples_per_second: 3.527
eval_steps_per_second: 0.222
epoch: 3.0354
step: 9000
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: 32
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
