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@@ -215,7 +215,7 @@ Statistics of the TRAIN+VALIDATION set :
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  The FLAIR-INC_rgbie_12cl_resnet34-unet model was trained on a HPC/AI resources provided by GENCI-IDRIS (Grant 2022-A0131013803).
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  16 V100 GPUs were used ( 4 nodes, 4 GPUS per node). With this configuration the approximate learning time is 6 minutes per epoch.
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- FLAIR-INC_rgbie_12cl_resnet34-unet was obtained for num_epoch=65 with corresponding val_loss=0.55.
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  <div style="position: relative; text-align: center;">
 
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  The FLAIR-INC_rgbie_12cl_resnet34-unet model was trained on a HPC/AI resources provided by GENCI-IDRIS (Grant 2022-A0131013803).
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  16 V100 GPUs were used ( 4 nodes, 4 GPUS per node). With this configuration the approximate learning time is 6 minutes per epoch.
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+ FLAIR-INC_rgbie_12cl_resnet34-unet was obtained for num_epoch=84 with corresponding val_loss=0.57.
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  <div style="position: relative; text-align: center;">