Commit 8449e9c9 authored by Andrei-Claudiu Roibu's avatar Andrei-Claudiu Roibu 🖥
Browse files

updated settings file - easier mods during experiments

parent 15ffbc18
......@@ -168,7 +168,7 @@ def train(data_parameters, training_parameters, network_parameters, misc_paramet
'eps': training_parameters['optimizer_epsilon'],
'weight_decay': training_parameters['optimizer_weigth_decay']
},
model_name=misc_parameters['model_name'],
model_name=training_parameters['experiment_name'],
number_epochs=training_parameters['number_of_epochs'],
loss_log_period=training_parameters['loss_log_period'],
learning_rate_scheduler_step_size=training_parameters[
......
......@@ -6,7 +6,7 @@ data_file = "/well/win-biobank/projects/imaging/data/data3/subjectsAll/subj_22k.
k_fold = None
data_split_flag = False
test_percentage = 5
subject_number = None
subject_number = 600
train_list = "datasets/train.txt"
validation_list = "datasets/validation.txt"
test_list = "datasets/test.txt"
......@@ -20,26 +20,26 @@ mean_mask_path = "utils/mean_dr_stage2.nii.gz"
mean_reduction = True
[TRAINING]
training_batch_size = 4
validation_batch_size = 4
experiment_name = "CU3D17-3"
pre_trained_path = "saved_models/CU3D17-3.pth.tar"
final_model_output_file = "CU3D17-3.pth.tar"
training_batch_size = 3
validation_batch_size = 3
use_pre_trained = False
pre_trained_path = "saved_models/finetuned_alldata.pth.tar"
experiment_name = "experiment_name"
learning_rate = 1e-4
learning_rate = 1e-1
optimizer_beta = (0.9, 0.999)
optimizer_epsilon = 1e-8
optimizer_weigth_decay = 1e-5
number_of_epochs = 10
number_of_epochs = 200
loss_log_period = 50
learning_rate_scheduler_step_size = 3
learning_rate_scheduler_step_size = 5
learning_rate_scheduler_gamma = 1e-1
use_last_checkpoint = False
final_model_output_file = "finetuned_alldata.pth.tar"
[NETWORK]
kernel_heigth = 5
kernel_width = 5
kernel_depth = 5
kernel_heigth = 3
kernel_width = 3
kernel_depth = 3
kernel_classification = 1
input_channels = 1
output_channels = 64
......@@ -52,11 +52,10 @@ number_of_classes = 1
[MISC]
save_model_directory = "saved_models"
model_name = "BrainMapper"
logs_directory = "logs"
checkpoint_directory = "checkpoints"
device = 0
experiments_directory = "experiments"
device = 0
[EVALUATION]
trained_model_path = "saved_models/model.pth.tar"
......
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