adding the log files on the models

logs/BidirectionalLSTMkeepingspace_dropout_0/summary.txt

+
+    Validation loss
+    ===============
+    0.02939149591444094
+
+
+    Executed command
+    ================
+    main.py --rootDir /usr/users/sdi1/sdi1_3/Projet_DL/Kaggle_Phytoplankton/logs/ --experimentName keepingspace_dropout train
+
+    Dataset
+    =======
+    FashionMNIST
+
+    Model summary
+    =============
+    BidirectionalLSTM(
+  (lstm): LSTM(17, 16, num_layers=2, batch_first=True, dropout=0.2, bidirectional=True)
+  (fc): Sequential(
+    (linear_0): Linear(in_features=32, out_features=32, bias=True)
+    (relu_0): ReLU()
+    (dropout_0): Dropout(p=0, inplace=False)
+    (linear_1): Linear(in_features=32, out_features=32, bias=True)
+    (relu_1): ReLU()
+    (dropout_1): Dropout(p=0, inplace=False)
+    (linear_2): Linear(in_features=32, out_features=32, bias=True)
+    (relu_2): ReLU()
+    (dropout_2): Dropout(p=0, inplace=False)
+    (last_linear): Linear(in_features=32, out_features=1, bias=True)
+  )
+)
+
+    14081 trainable parameters
+
+    Optimizer
+    ========
+    Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    lr: 1.953125e-06
+    weight_decay: 0
+)
+
+
+    
\ No newline at end of file

logs/BidirectionalLSTMkeepingspace_dropout_num_days_365_0/summary.txt

+
+    Validation loss
+    ===============
+    0.032635216378938084
+
+
+    Executed command
+    ================
+    main.py --rootDir /usr/users/sdi1/sdi1_3/Projet_DL/Kaggle_Phytoplankton/logs/ --experimentName keepingspace_dropout_num_days_365 train
+
+    Dataset
+    =======
+    FashionMNIST
+
+    Model summary
+    =============
+    BidirectionalLSTM(
+  (lstm): LSTM(17, 16, num_layers=2, batch_first=True, dropout=0.2, bidirectional=True)
+  (fc): Sequential(
+    (linear_0): Linear(in_features=32, out_features=32, bias=True)
+    (relu_0): ReLU()
+    (dropout_0): Dropout(p=0, inplace=False)
+    (linear_1): Linear(in_features=32, out_features=32, bias=True)
+    (relu_1): ReLU()
+    (dropout_1): Dropout(p=0, inplace=False)
+    (linear_2): Linear(in_features=32, out_features=32, bias=True)
+    (relu_2): ReLU()
+    (dropout_2): Dropout(p=0, inplace=False)
+    (last_linear): Linear(in_features=32, out_features=1, bias=True)
+  )
+)
+
+    14081 trainable parameters
+
+    Optimizer
+    ========
+    Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    lr: 3.90625e-06
+    weight_decay: 0
+)
+
+
+    
\ No newline at end of file

logs/BidirectionalLSTMkeepingspace_no_dropout_0/summary.txt

+
+    Validation loss
+    ===============
+    0.027991638757276435
+
+
+    Executed command
+    ================
+    main.py --rootDir /usr/users/sdi1/sdi1_3/Projet_DL/Kaggle_Phytoplankton/logs/ --experimentName keepingspace_no_dropout train
+
+    Dataset
+    =======
+    FashionMNIST
+
+    Model summary
+    =============
+    BidirectionalLSTM(
+  (lstm): LSTM(17, 16, num_layers=2, batch_first=True, bidirectional=True)
+  (fc): Sequential(
+    (linear_0): Linear(in_features=32, out_features=32, bias=True)
+    (relu_0): ReLU()
+    (dropout_0): Dropout(p=0, inplace=False)
+    (linear_1): Linear(in_features=32, out_features=32, bias=True)
+    (relu_1): ReLU()
+    (dropout_1): Dropout(p=0, inplace=False)
+    (linear_2): Linear(in_features=32, out_features=32, bias=True)
+    (relu_2): ReLU()
+    (dropout_2): Dropout(p=0, inplace=False)
+    (last_linear): Linear(in_features=32, out_features=1, bias=True)
+  )
+)
+
+    14081 trainable parameters
+
+    Optimizer
+    ========
+    Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    lr: 1.953125e-06
+    weight_decay: 0
+)
+
+
+    
\ No newline at end of file

logs/BidirectionalLSTMkeepingspace_no_dropout_num_days_365_0/summary.txt

+
+    Validation loss
+    ===============
+    0.03330828981075959
+
+
+    Executed command
+    ================
+    main.py --rootDir /usr/users/sdi1/sdi1_3/Projet_DL/Kaggle_Phytoplankton/logs/ --experimentName keepingspace_no_dropout_num_days_365 train
+
+    Dataset
+    =======
+    FashionMNIST
+
+    Model summary
+    =============
+    BidirectionalLSTM(
+  (lstm): LSTM(17, 16, num_layers=2, batch_first=True, bidirectional=True)
+  (fc): Sequential(
+    (linear_0): Linear(in_features=32, out_features=32, bias=True)
+    (relu_0): ReLU()
+    (dropout_0): Dropout(p=0, inplace=False)
+    (linear_1): Linear(in_features=32, out_features=32, bias=True)
+    (relu_1): ReLU()
+    (dropout_1): Dropout(p=0, inplace=False)
+    (linear_2): Linear(in_features=32, out_features=32, bias=True)
+    (relu_2): ReLU()
+    (dropout_2): Dropout(p=0, inplace=False)
+    (last_linear): Linear(in_features=32, out_features=1, bias=True)
+  )
+)
+
+    14081 trainable parameters
+
+    Optimizer
+    ========
+    Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    lr: 1.953125e-06
+    weight_decay: 0
+)
+
+
+    
\ No newline at end of file