Nachuwu/wav2vec2-fleur-mms-batch6-epoch24-finetunning-3

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wav2vec2-fleur-mms-batch6-epoch24-finetunning-3

This model is a fine-tuned version of Nachuwu/wav2vec2-fleur-mms-batch6-epoch16 on the audiofolder dataset. It achieves the following results on the evaluation set:

• —Loss: 1.3000
• —Wer: 0.6017

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: 6
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —num_epochs: 24
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.36.0.dev0
• —Pytorch 2.1.0+cu118
• —Datasets 2.15.0
• —Tokenizers 0.15.0