This model is a fine-tuned version of Joshua-Abok/finetuned_wav2vec_asr on the common_voice_12_0 dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.3257
eval_wer: 0.1481
eval_runtime: 611.0298
eval_samples_per_second: 17.966
eval_steps_per_second: 2.247
epoch: 14.79
step: 20000
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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
