bookbot/wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-word-lm

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wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-word

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2057
• —Wer: 0.2194
• —Cer: 0.1098

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: 0.0002
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5.0

Training results

Framework versions

• —Transformers 4.45.2
• —Pytorch 2.3.1
• —Datasets 2.19.2
• —Tokenizers 0.20.1