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RawNet2_baseline.conf 1.11 KB
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{
    "database_path": "./LA/",
    "asv_score_path": "ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt",
    "model_path": "/home1/irteam/jeeweon/git/AsvSpoofDetection/exp_result/LAmodelRawNet2Spoof_ep100_bs32_lr0.0001/weights/best.pth",
    "batch_size": 32,
    "lr": 0.0001,
    "weight_decay": 0.0001,
    "num_epochs": 100,
    "loss": "CCE",
    "track": "LA",
    "eval_output": "eval_scores_using_best_dev_model.txt",
    "cudnn_deterministic_toggle": "True",
    "cudnn_benchmark_toggle": "False",
    "model_config": {
        "architecture": "RawNet2Spoof",
        "nb_samp": 64600,
        "first_conv": 1024,
        "in_channels": 1,
        "filts": [20, [20, 20], [20, 128], [128, 128]],
        "blocks": [2, 4],
        "nb_fc_node": 1024,
        "gru_node": 1024,
        "nb_gru_layer": 3,
        "nb_classes": 2
    },
    "optim_config": {
        "optimizer": "adam", 
        "amsgrad": "False",
        "base_lr": 0.0001,
        "lr_min": 0.000005,
        "betas": [0.9, 0.999],
        "weight_decay": 0.0001,
        "scheduler": "cosine"
    }
}