| [train] | |
| seed = 43 | |
| device = | |
| model = deepfilternet3 | |
| jit = false | |
| mask_only = false | |
| df_only = false | |
| batch_size = 64 | |
| batch_size_eval = 64 | |
| num_workers = 16 | |
| max_sample_len_s = 3.0 | |
| p_atten_lim = 0.0 | |
| overfit = false | |
| max_epochs = 120 | |
| log_freq = 100 | |
| log_timings = True | |
| validation_criteria = loss | |
| validation_criteria_rule = min | |
| early_stopping_patience = 25 | |
| global_ds_sampling_f = 1 | |
| num_prefetch_batches = 8 | |
| dataloader_snrs = -100,-5,0,5,10,20,40 | |
| detect_anomaly = false | |
| batch_size_scheduling = 0/16,2/24,5/32,10/64,20/128,40/9999 | |
| start_eval = false | |
| validation_set_caching = false | |
| cp_blacklist = | |
| [distortion] | |
| p_reverb = 0.1 | |
| p_bandwidth_ext = 0.0 | |
| p_clipping = 0.0 | |
| p_air_absorption = 0.0 | |
| p_zeroing = 0.0 | |
| p_interfer_sp = 0.0 | |
| [df] | |
| sr = 48000 | |
| fft_size = 960 | |
| hop_size = 480 | |
| nb_erb = 32 | |
| nb_df = 96 | |
| norm_tau = 1 | |
| lsnr_max = 35 | |
| lsnr_min = -15 | |
| min_nb_erb_freqs = 2 | |
| pad_mode = output | |
| df_order = 5 | |
| df_lookahead = 2 | |
| [deepfilternet] | |
| conv_lookahead = 2 | |
| conv_ch = 64 | |
| conv_depthwise = True | |
| emb_hidden_dim = 256 | |
| emb_num_layers = 3 | |
| enc_linear_groups = 32 | |
| linear_groups = 16 | |
| conv_dec_mode = transposed | |
| convt_depthwise = False | |
| mask_pf = False | |
| df_hidden_dim = 256 | |
| df_num_layers = 2 | |
| dfop_method = df | |
| group_shuffle = False | |
| conv_kernel = 1,3 | |
| df_gru_skip = groupedlinear | |
| df_pathway_kernel_size_t = 5 | |
| enc_concat = False | |
| conv_kernel_inp = 3,3 | |
| emb_gru_skip = none | |
| df_n_iter = 1 | |
| convt_kernel = 1,3 | |
| lsnr_dropout = False | |
| [localsnrloss] | |
| factor = 1e-3 | |
| [maskloss] | |
| factor = 0 | |
| mask = spec | |
| gamma = 0.3 | |
| gamma_pred = 0.3 | |
| f_under = 1 | |
| [spectralloss] | |
| factor_magnitude = 0 | |
| factor_complex = 0 | |
| gamma = 0.3 | |
| factor_under = 1 | |
| [dfalphaloss] | |
| factor = 0.0 | |
| [multiresspecloss] | |
| factor = 500 | |
| factor_complex = 500 | |
| gamma = 0.3 | |
| fft_sizes = 256,512,1024,2048 | |
| [optim] | |
| lr = 0.001 | |
| momentum = 0 | |
| weight_decay = 1e-12 | |
| weight_decay_end = 0.01 | |
| optimizer = adamw | |
| lr_min = 1e-06 | |
| lr_warmup = 0.0001 | |
| warmup_epochs = 3 | |
| lr_cycle_mul = 1.0 | |
| lr_cycle_decay = 0.5 | |
| lr_cycle_limit = 1 | |
| lr_update_per_epoch = False | |
| lr_cycle_epochs = -1 | |
| [sdrloss] | |
| factor = 0.0 | |
| segmental_ws = 0 | |
| [asrloss] | |
| factor = 0 | |
| factor_lm = 0 | |
| loss_lm = CrossEntropy | |
| model = base.en | |