This model is a fine-tuned version of facebook/wav2vec2-base on the serge-wilson/wolof_speech_transcription dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.2953
eval_wer: 0.3067
eval_runtime: 153.1594
eval_samples_per_second: 14.658
eval_steps_per_second: 1.835
epoch: 15.23
step: 6000
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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
