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Update README.md

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@@ -212,26 +212,7 @@ Input normalization was performed
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  * Optimizer : SGD
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  * Schaeduler : mode = "min", factor = 0.5, patience = 10, cooldown = 4, min_lr = 1e-7
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  * Learning rate : 0.02
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- * Class Weights :
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- * 1: [1, building]
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- * 2: [1, pervious surface]
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- * 3: [1, impervious surface]
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- * 4: [1, bare soil]
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- * 5: [1, water]
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- * 6: [1, coniferous]
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- * 7: [1, deciduous]
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- * 8: [1, brushwood]
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- * 9: [1, vineyard]
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- * 10: [1,herbaceous vegetation]
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- * 11: [1, agricultural land]
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- * 12: [1, plowed land]
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- * 13: [1, swimming_pool]
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- * 14: [1, snow]
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- * 15: [0, clear cut]
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- * 16: [0, mixed]
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- * 17: [0, ligneous]
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- * 18: [1, greenhouse]
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- * 19: [0, other]
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  #### Speeds, Sizes, Times [optional]
@@ -242,9 +223,7 @@ The FLAIR-INC_RVBIE_resnet34_unet_15cl_norm model was trained on a HPC/AI resour
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  FLAIR-INC_RVBIE_resnet34_unet_15cl_norm was obtained for num_epoch=76 with corresponding val_loss=0.56.
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- <img src="train_loss_FLAIR-INC_RGBIE_resnet34_unet_15cl_norm.png" alt="drawing" style="width:200px;"/>
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  Train loss log | Val loss log
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  :-------------------------:|:-------------------------:
@@ -252,12 +231,6 @@ Train loss log | Val loss log
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-
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- Train loss log | Val loss log
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- :-------------------------:|:-------------------------:
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- <img src="train_loss_FLAIR-INC_RGBIE_resnet34_unet_15cl_norm.png" alt="drawing" style="width:200px;"/> | <img src="val_loss_FLAIR-INC_RGBIE_resnet34_unet_15cl_norm.png" alt="drawing" style="width:200px;"/>
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-
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-
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  {{ speeds_sizes_times | default("[More Information Needed]", true)}}
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  ## Evaluation
 
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  * Optimizer : SGD
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  * Schaeduler : mode = "min", factor = 0.5, patience = 10, cooldown = 4, min_lr = 1e-7
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  * Learning rate : 0.02
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+ * Class Weights : [1-building: 1.0 , 2-pervious surface: 1.0 , 3-impervious surface: 1.0 , 4-bare soil: 1.0 , 5-water: 1.0 , 6-coniferous: 1.0 , 7-deciduous: 1.0 , 8-brushwood: 1.0 , 9-vineyard: 1.0 , 10-herbaceous vegetation: 1.0 , 11-agricultural land: 1.0 , 12-plowed land: 1.0 , 13-swimming_pool: 1.0 , 14-snow: 1.0 , 15-clear cut: 0.0 , 16-mixed: 0.0 , 17-ligneous: 0.0 , 18-greenhouse: 1.0 , 19-other: 0.0]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  #### Speeds, Sizes, Times [optional]
 
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  FLAIR-INC_RVBIE_resnet34_unet_15cl_norm was obtained for num_epoch=76 with corresponding val_loss=0.56.
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+ <!-- <img src="train_loss_FLAIR-INC_RGBIE_resnet34_unet_15cl_norm.png" alt="drawing" style="width:200px;"/>-->
 
 
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  Train loss log | Val loss log
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  :-------------------------:|:-------------------------:
 
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  {{ speeds_sizes_times | default("[More Information Needed]", true)}}
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  ## Evaluation