serge-wilson/wav2vec-base-wolof

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Wav2Vec2 Base Wolof

This model is a fine-tuned version of facebook/wav2vec2-base on the serge-wilson/wolofspeechtranscription dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.2953
• —eval_wer: 0.3067
• —eval_runtime: 153.1594
• —evalsamplesper_second: 14.658
• —evalstepsper_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
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 30

Framework versions

• —Transformers 4.34.0.dev0
• —Pytorch 2.0.0
• —Datasets 2.14.5
• —Tokenizers 0.14.0