GwadaDLT/wav2vec2-gcf

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wav2vec2-gcf

This model is a fine-tuned version of LLL-CREAM/wav2vec2-HAT-0.2K-ALH-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.6800
• —Wer: 100.0

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: 0.0001
• —trainbatchsize: 8
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —training_steps: 2000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.5.0
• —Pytorch 2.4.1+cu124
• —Datasets 3.6.0
• —Tokenizers 0.22.2