davidilag/wav2vec2-xls-r-1b-faroese-100h-10k-steps

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wav2vec2-xls-r-1b-faroese-100h-10k-steps

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.4747
• —Wer: 100.0
• —Cer: 82.7552

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: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 10000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.5.0+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.2