This model is a fine-tuned version of facebook/data2vec-audio-large-960h on the common_voice dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.3472
eval_wer: 0.3410
eval_cer: 0.0832
eval_runtime: 231.0008
eval_samples_per_second: 25.108
eval_steps_per_second: 3.139
epoch: 33.06
step: 20400
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
