Jungwoo4021/wav2vec2-base-ks-finetuning

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wav2vec2-base-ks-finetuning

This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2261
• —Accuracy: 0.9813

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: 3e-05
• —trainbatchsize: 256
• —evalbatchsize: 256
• —seed: 0
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 1024
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.22.0.dev0
• —Pytorch 1.11.0+cu115
• —Datasets 2.4.0
• —Tokenizers 0.12.1