Update README.md

README.md

@@ -221,7 +221,7 @@ Statistics of the TRAIN+VALIDATION set :
 The FLAIR-INC_rgbie_15cl_resnet34-unet model was trained on a HPC/AI resources provided by GENCI-IDRIS (Grant 2022-A0131013803). 
 16 V100 GPUs were used ( 4 nodes, 4 GPUS per node). With this configuration the approximate learning time is 6 minutes per epoch.
 
-FLAIR-INC_rgbie_15cl_resnet34-unet was obtained for num_epoch=76 with corresponding val_loss=0.56. 
+FLAIR-INC_rgbie_15cl_resnet34-unet was obtained for num_epoch=65 with corresponding val_loss=0.55. 
 
 
 <div style="position: relative; text-align: center;">
@@ -248,7 +248,7 @@ As a result the _Snow_ class is absent from the TEST set.
 
 #### Metrics
 
-With the evaluation protocol, the **FLAIR-INC_RVBIE_resnet34_unet_15cl_norm** have been evaluated to **OA= 76.37%** and **mIoU=58.63%**. 
+With the evaluation protocol, the **FLAIR-INC_RVBIE_resnet34_unet_15cl_norm** have been evaluated to **OA=76.509%** and **mIoU=62.716%**. 
 The _snow_ class is discarded from the average metrics.
 
 The following table give the class-wise metrics :