Delete checkpoints/FRCRN_SE_16K

checkpoints/FRCRN_SE_16K/config.yaml

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-#!/bin/bash 
-mode: 'train'
-use_cuda: 1 # 1 for True, 0 for False
-
-sampling_rate: 16000
-network: "FRCRN_SE_16K"  ##network type
-## FFT Parameters
-win_type: hanning
-win_len: 640
-win_inc: 320
-fft_len: 640
-
-# Train
-#tr_list: 'datasets/tr_tts_16k_noise_0to10db_p13_p20.lst_dur'
-tr_list: 'data/cv_webrtc_test_set_20200521_16k.lst'
-cv_list: 'data/cv_webrtc_test_set_20200521_16k.lst'
-init_learning_rate: 0.001 #learning rate for a new training
-finetune_learning_rate: 0.0001 #learning rate for a finetune training
-max_epoch: 100
-
-weight_decay: 0.00001
-clip_grad_norm: 10.
-
-# Log 
-seed: 777
-
-# # dataset
-num_workers: 4
-batch_size: 4
-accu_grad: 1  # accumulate multiple batch sizes for one back-propagation updating
-effec_batch_size: 12   # per GPU, only used if accu_grad is set to 1, must be multiple times of batch size
-max_length: 1         # truncate the utterances in dataloader, in seconds 
-

checkpoints/FRCRN_SE_16K/last_best_checkpoint

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-model.ckpt-88-8491630.pt

checkpoints/FRCRN_SE_16K/last_checkpoint

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-model.ckpt-88-8491630.pt

checkpoints/FRCRN_SE_16K/model.ckpt-88-8491630.pt

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-oid sha256:b22256adbb91b68cf5a3db8f6657a4fb17066eecd5f069803e59c186c1cf3ebb
-size 161053751