From c4676ea33238ecb5d05b7da44e4b5a06b4dcca24 Mon Sep 17 00:00:00 2001 From: Si11ium Date: Wed, 13 May 2020 14:56:00 +0200 Subject: [PATCH] Residual Model --- _paramters.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/_paramters.py b/_paramters.py index 6957169..b197635 100644 --- a/_paramters.py +++ b/_paramters.py @@ -30,7 +30,7 @@ main_arg_parser.add_argument("--data_n_fft", type=int, default=512, help="") main_arg_parser.add_argument("--data_mixup", type=strtobool, default=False, help="") # Transformation Parameters -main_arg_parser.add_argument("--data_loudness_ratio", type=float, default=0, help="") +main_arg_parser.add_argument("--data_loudness_ratio", type=float, default=0.4, help="") main_arg_parser.add_argument("--data_shift_ratio", type=float, default=0, help="") main_arg_parser.add_argument("--data_noise_ratio", type=float, default=0, help="") main_arg_parser.add_argument("--data_mask_ratio", type=float, default=0, help="") @@ -43,7 +43,7 @@ main_arg_parser.add_argument("--train_version", type=strtobool, required=False, # FIXME: Stochastic weight Avaraging is not good, maybe its my implementation? main_arg_parser.add_argument("--train_sto_weight_avg", type=strtobool, default=True, 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=31, help="") +main_arg_parser.add_argument("--train_epochs", type=int, default=101, help="") main_arg_parser.add_argument("--train_batch_size", type=int, default=300, help="") main_arg_parser.add_argument("--train_lr", type=float, default=1e-4, help="") main_arg_parser.add_argument("--train_num_sanity_val_steps", type=int, default=0, help="")