yangwang825/ecapa-tdnn-voxceleb1-c512-aam

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ecapa-tdnn-voxceleb1-c512-aam

This model is a fine-tuned version of [](https://huggingface.co/) on the confit/voxceleb dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5840
• —Accuracy: 0.9758

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: 0.0005
• —trainbatchsize: 256
• —evalbatchsize: 1
• —seed: 914
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.48.3
• —Pytorch 2.0.0+cu117
• —Datasets 3.2.0
• —Tokenizers 0.21.0