<commit_before>[NETWORK]
batch_size = 11
time_steps = 88
num_hidden = 128
learning_rate = 0.001

[SPECTROGRAM]
fft_size = 512
step_size = 64
freq_cutoffs = 500, 10000
thresh = 6.25
log_transform = True

[DATA]
labelset = iabcdef
make_train_data = Yes
data_dir = /home/you/data/bf_repo_birds/bl26lb16/
output_dir = /home/you/data/bf_repo_birds/bl26lb16/spectrograms
total_train_set_duration = 600
validation_set_duration = 250
test_set_duration = 500
skip_files_with_labels_not_in_labelset = Yes

[TRAIN]
normalize_spectrograms = Yes
train_data_path = /home/you/data/bf_repo_birds/spectrograms/spectrograms_181012_165330/train_data_dict
val_data_path = /home/you/data/bf_repo_birds//spectrograms/spectrograms_181012_165330/val_data_dict
test_data_path = /home/you/data/bf_repo_birds/spectrograms/spectrograms_181012_165330/test_data_dict
use_train_subsets_from_previous_run = No
previous_run_path = None
n_max_iter = 8000
val_error_step = 150
checkpoint_step = 600
save_only_single_checkpoint_file = True
patience = None
train_set_durs = 30, 45, 75, 120, 180, 240, 480
replicates = 5

[OUTPUT]
results_dir = /home/you/data/tf_syl_seg/
results_dir_made_by_main_script = /home/you/data/tf_syl_seg/results_181009_145117
<commit_msg>rewrite config to use new format<commit_after>[TweetyNet]
batch_size = 11
time_bins = 88
learning_rate = 0.001

[SPECTROGRAM]
fft_size = 512
step_size = 64
freq_cutoffs = 500, 10000
thresh = 6.25
log_transform = True

[DATA]
labelset = iabcdef
data_dir = /home/you/data/bf_repo_birds/bl26lb16/
total_train_set_duration = 600
validation_set_duration = 250
test_set_duration = 500
output_dir = /home/you/data/bf_repo_birds/bl26lb16/spectrograms
skip_files_with_labels_not_in_labelset = Yes

[TRAIN]
normalize_spectrograms = Yes
train_data_path = /home/you/data/bf_repo_birds/spectrograms/spectrograms_181012_165330/train_data_dict
val_data_path = /home/you/data/bf_repo_birds//spectrograms/spectrograms_181012_165330/val_data_dict
test_data_path = /home/you/data/bf_repo_birds/spectrograms/spectrograms_181012_165330/test_data_dict
use_train_subsets_from_previous_run = No
previous_run_path = None
num_epochs = 2
val_error_step = 150
checkpoint_step = 600
save_only_single_checkpoint_file = True
patience = None
train_set_durs = 30, 45, 75, 120, 180, 240, 480
replicates = 5

[OUTPUT]
results_dir = /home/you/data/tf_syl_seg/
results_dir_made_by_main_script = /home/you/data/tf_syl_seg/results_181009_145117
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