BrainTheos/wav2vec2-large-mms-1b-all-lingala-ojpl-4

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wav2vec2-large-mms-1b-all-lingala-ojpl-4

This model is a fine-tuned version of facebook/mms-1b-all on the audiofolder dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7849
• —Wer: 0.2869

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: 0.001
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.32.0.dev0
• —Pytorch 1.13.1+cu117
• —Datasets 2.13.1
• —Tokenizers 0.13.3