asr-africa/wav2vec2-xlsr-fula-google-fleurs-5-hours-plus-lm

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wav2vec2-xlsr-fula-google-fleurs-5-hours

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1949
• —Wer: 0.6460
• —Cer: 0.2359

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 50

Training results

Framework versions

• —Transformers 4.38.1
• —Pytorch 2.1.0+cu118
• —Datasets 2.17.0
• —Tokenizers 0.15.2