tuanio/binary-bert-for-sequence-classification

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1-epochs5-char-based-freeze_cnn-dropout0.1

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

• —Loss: 0.1245
• —Wer: 0.0865

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: 2e-05
• —trainbatchsize: 10
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —totaltrainbatch_size: 40
• —totalevalbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.34.0
• —Pytorch 2.0.1
• —Datasets 2.14.5
• —Tokenizers 0.14.1