diff --git a/config.yml b/config.yml
index d1c5e4aed8c2336f589841c6fd360bf94d13ef35..db94f2477a3ba9c04f9e44551398d661ee12d68d 100644
--- a/config.yml
+++ b/config.yml
@@ -40,7 +40,7 @@ Training:
   
 #Model selection
 Model:
-  Name: BidirectionalLSTM 
+  Name: CNN1D
   #choose in {LinearRegression, BidirectionalLSTM, RNN}
 
 #Model parameters selection
@@ -64,6 +64,9 @@ RNN:
   Dropout: 0.2
   Initialization: None
 
+CNN1D:
+  Initialization: None
+
 #Name of directory containing logs
 LogDir: ./logs/
 
diff --git a/logs/main_unit_test.log b/logs/main_unit_test.log
index 9af58e2815298b38ee7e44d1066ee02002d808c6..ba8a1e2458e3daf405124a127dd07e54a36743ae 100644
--- a/logs/main_unit_test.log
+++ b/logs/main_unit_test.log
@@ -1858,3 +1858,333 @@ INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and
 INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
 INFO:root:  - The train fold has 541821 samples
 INFO:root:  - The valid fold has 135339 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541214 samples
+INFO:root:  - The valid fold has 135946 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541745 samples
+INFO:root:  - The valid fold has 135415 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 540857 samples
+INFO:root:  - The valid fold has 136303 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541563 samples
+INFO:root:  - The valid fold has 135597 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541173 samples
+INFO:root:  - The valid fold has 135987 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 542121 samples
+INFO:root:  - The valid fold has 135039 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541718 samples
+INFO:root:  - The valid fold has 135442 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541443 samples
+INFO:root:  - The valid fold has 135717 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541824 samples
+INFO:root:  - The valid fold has 135336 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541550 samples
+INFO:root:  - The valid fold has 135610 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541413 samples
+INFO:root:  - The valid fold has 135747 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541628 samples
+INFO:root:  - The valid fold has 135532 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541715 samples
+INFO:root:  - The valid fold has 135445 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541674 samples
+INFO:root:  - The valid fold has 135486 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 542058 samples
+INFO:root:  - The valid fold has 135102 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541890 samples
+INFO:root:  - The valid fold has 135270 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541941 samples
+INFO:root:  - The valid fold has 135219 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541291 samples
+INFO:root:  - The valid fold has 135869 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 542521 samples
+INFO:root:  - The valid fold has 134639 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541718 samples
+INFO:root:  - The valid fold has 135442 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 541424 samples
+INFO:root:  - The valid fold has 135736 samples
+INFO:root:= Dataloaders
+INFO:root:  - Dataset creation
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Generating the index
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - Loaded a dataset with 677160 samples
+INFO:root:  - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 677160 samples
+INFO:root:  - Subset dataset
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
+INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
+INFO:root:  - The train fold has 542108 samples
+INFO:root:  - The valid fold has 135052 samples
diff --git a/model.py b/model.py
index 2ce2607a78d434da5a0da157822d535eff316121..ff6a4ea97f0ab28a0c5ed15ae52904a148481de8 100644
--- a/model.py
+++ b/model.py
@@ -5,8 +5,6 @@ import torch.nn.functional as F
 from torch.autograd import Function
 from torch.autograd import Variable
 
-import torch.nn as nn
-
 # Linear Regression (Feed forward Network)
 class LinearRegression(nn.Module):
     def __init__(self, cfg, input_size):
@@ -115,6 +113,50 @@ class BidirectionalLSTM(nn.Module):
         result = self.fc(out)
         return result
 
+
+# CNN
+class CNN1D(torch.nn.Module):
+
+    def __init__(self, cfg, num_inputs):
+        super(CNN1D, self).__init__()
+        self.model = torch.nn.Sequential(
+            *conv_block(num_inputs, 5, 0.01),
+            *conv_block(32, 6, 0.01)
+        )
+        self.avg_pool = torch.nn.AdaptiveAvgPool1d(1)
+
+        self.fc = nn.Sequential(
+            nn.Linear(64, 32),
+            nn.ReLU(),
+            nn.Linear(32,cfg["Dataset"]["num_days"])
+        )
+
+    def forward(self, x):
+        x = torch.transpose(x, 1, 2)
+
+        out = self.model(x)
+
+        out = self.avg_pool(out)
+
+        out = out.view([out.shape[0], -1])
+
+        out = self.fc(out)
+        out = out.view([out.shape[0], out.shape[1], 1])
+        return out
+
+def conv_block(in_channels, power, dropout_p):
+    return [
+        torch.nn.Conv1d(in_channels, 2**power, 16),
+        torch.nn.BatchNorm1d(2**power),
+        torch.nn.ReLU(),
+        torch.nn.Dropout(p=dropout_p),
+        #torch.nn.Conv1d(2**power, 2**power, 8),
+        #torch.nn.BatchNorm1d(2**power),
+        #torch.nn.ReLU(),
+        #torch.nn.Dropout(p=dropout_p),
+        torch.nn.MaxPool1d(2, stride = 1)
+    ]
+
 # Initialization
 def init_he(module):
     if type(module)==nn.Linear:
diff --git a/test.py b/test.py
index b2142768dc581b4ef91ec41d064de49bbf19485f..1cf5f6030ca79b815c6294aa47918ed6e52c88da 100644
--- a/test.py
+++ b/test.py
@@ -35,10 +35,10 @@ def test(model, loader, f_loss, device):
 
             # Compute the forward pass, i.e. the scores for each input image
             outputs = model(inputs)
-            print("Validation inputs :")
-            print(inputs)
-            print("Validation outputs :")
-            print(outputs)
+            #print("Validation inputs :")
+            #print(inputs)
+            #print("Validation outputs :")
+            #print(outputs)
 
             # We accumulate the exact number of processed samples
             N += inputs.shape[0]
diff --git a/train.py b/train.py
index ed49b27b5a363e847b535b39f29c43c8900eb0a3..8f98f5d71fb2910067921efa27c8d26ba2c2cccc 100644
--- a/train.py
+++ b/train.py
@@ -30,6 +30,8 @@ def train(args, model, loader, f_loss, optimizer, device, log_interval = 100):
         inputs, targets = inputs.to(device), targets.to(device)
 
         # Compute the forward pass through the network up to the loss
+
+        # target's shape is (B, Num_days, 1)
         outputs = model(inputs)
         loss = f_loss(outputs, targets)
 
diff --git a/train_indices.subset b/train_indices.subset
index 884531a7aab539a7b5aa7173d72c94be814f4731..b7e0efe593d05518b4cd5702f29390d9f082437f 100644
Binary files a/train_indices.subset and b/train_indices.subset differ
diff --git a/valid_indices.subset b/valid_indices.subset
index 7991aa210637e128c860499e5ef347315d26b6fd..96b015aa64446e008e02aafd2963f878a1df989c 100644
Binary files a/valid_indices.subset and b/valid_indices.subset differ
diff --git a/wandb/debug-internal.log b/wandb/debug-internal.log
index 41e6ad0e5549b454799d4cf9bf91c8f41254aae5..3245817b8c808dd5a25d2e3f8f4b128923c4a702 120000
--- a/wandb/debug-internal.log
+++ b/wandb/debug-internal.log
@@ -1 +1 @@
-run-20230204_010308-1aksu4p8/logs/debug-internal.log
\ No newline at end of file
+run-20230204_013952-5w9xw0aw/logs/debug-internal.log
\ No newline at end of file
diff --git a/wandb/debug.log b/wandb/debug.log
index 5ffe849f735607feda595d9f905dcd19ac498ce8..ed90b7c5344b414587e2d31a200dbf31684c1568 120000
--- a/wandb/debug.log
+++ b/wandb/debug.log
@@ -1 +1 @@
-run-20230204_010308-1aksu4p8/logs/debug.log
\ No newline at end of file
+run-20230204_013952-5w9xw0aw/logs/debug.log
\ No newline at end of file
diff --git a/wandb/latest-run b/wandb/latest-run
index 1358adb74bf70d265410a1603dadf86a3c326540..9fa788a3b33b1984e1c4241a02fb397cf5ef142f 120000
--- a/wandb/latest-run
+++ b/wandb/latest-run
@@ -1 +1 @@
-run-20230204_010308-1aksu4p8
\ No newline at end of file
+run-20230204_013952-5w9xw0aw
\ No newline at end of file