ecapa-tdnn-voxceleb1-c512-aam

• Loss: 0.5840
• Accuracy: 0.9758

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.0005
• train_batch_size: 256
• eval_batch_size: 1
• seed: 914
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10.0
• mixed_precision_training: Native AMP

Training results

Framework versions

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