steffen/masks_augments_compare-21
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fingerprinted now should work correctly

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Si11ium
2020-05-19 08:33:05 +02:00
parent f57e25efdc
commit c083207235
10 changed files with 65 additions and 14 deletions

4
_paramters.py

@ -32,7 +32,7 @@ main_arg_parser.add_argument("--data_stretch", type=strtobool, default=True, hel
# Transformation Parameters
main_arg_parser.add_argument("--data_loudness_ratio", type=float, default=0, help="") # 0.4
main_arg_parser.add_argument("--data_shift_ratio", type=float, default=0.3, help="") # 0.3
main_arg_parser.add_argument("--data_shift_ratio", type=float, default=0.3, help="") # 0.4
main_arg_parser.add_argument("--data_noise_ratio", type=float, default=0, help="") # 0.4
main_arg_parser.add_argument("--data_mask_ratio", type=float, default=0, help="") # 0.2
main_arg_parser.add_argument("--data_speed_ratio", type=float, default=0, help="") # 0.3
@ -40,7 +40,6 @@ main_arg_parser.add_argument("--data_speed_factor", type=float, default=0, help=
# Model Parameters
main_arg_parser.add_argument("--model_type", type=str, default="RCC", help="")
main_arg_parser.add_argument("--model_secondary_type", type=str, default="RCC", help="")
main_arg_parser.add_argument("--model_weight_init", type=str, default="xavier_normal_", help="")
main_arg_parser.add_argument("--model_activation", type=str, default="leaky_relu", help="")
main_arg_parser.add_argument("--model_filters", type=str, default="[32, 64, 128, 64]", help="")
@ -55,6 +54,7 @@ main_arg_parser.add_argument("--train_outpath", type=str, default="output", help
main_arg_parser.add_argument("--train_version", type=strtobool, required=False, help="")
# FIXME: Stochastic weight Avaraging is not good, maybe its my implementation?
main_arg_parser.add_argument("--train_sto_weight_avg", type=strtobool, default=False, help="")
main_arg_parser.add_argument("--train_weight_decay", type=float, default=1e-7, help="")
main_arg_parser.add_argument("--train_opt_reset_interval", type=int, default=0, help="")
main_arg_parser.add_argument("--train_epochs", type=int, default=51, help="")
main_arg_parser.add_argument("--train_batch_size", type=int, default=300, help="")