Training in progress epoch 48

README.md

@@ -14,24 +14,24 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1720
-- Validation Loss: 0.4344
-- Validation Mean Iou: 0.3638
-- Validation Mean Accuracy: 0.4240
-- Validation Overall Accuracy: 0.8838
-- Validation Per Category Iou: [0.         0.83634649 0.88252909 0.81745832 0.86977854 0.47517537
-        nan 0.5031844  0.59798619 0.1079865  0.85554815 0.12994482
- 0.         0.04696466 0.         0.53919303 0.         0.
- 0.75014771 0.0744804  0.3882156  0.59230036 0.10471204        nan
- 0.04368721 0.31787732 0.29543235 0.         0.86536823 0.72760094
- 0.94104705 0.03982311 0.02227327 0.18113074 0.        ]
-- Validation Per Category Accuracy: [0.         0.8989315  0.94316465 0.90119359 0.9497093  0.61772174
-        nan 0.62712399 0.73975165 0.12124493 0.94667146 0.16580722
- 0.         0.06415017 0.         0.68711605 0.         0.
- 0.87653714 0.07776801 0.5226676  0.71570028 0.11527378        nan
- 0.05734444 0.42000828 0.35728182 0.         0.94526778 0.87853858
- 0.96476425 0.06568009 0.06391322 0.27004723 0.        ]
-- Epoch: 47
+- Train Loss: 0.1621
+- Validation Loss: 0.4094
+- Validation Mean Iou: 0.3770
+- Validation Mean Accuracy: 0.4361
+- Validation Overall Accuracy: 0.8898
+- Validation Per Category Iou: [0.         0.82399384 0.89066451 0.819736   0.87845688 0.52339167
+        nan 0.51547818 0.58811266 0.11202084 0.86668833 0.16280099
+ 0.         0.08182504 0.         0.55484888 0.         0.
+ 0.76325378 0.05293637 0.40960729 0.5817725  0.34567901        nan
+ 0.03438815 0.31336815 0.27887594 0.         0.87318663 0.74216819
+ 0.94257309 0.02714967 0.0518505  0.20559452 0.        ]
+- Validation Per Category Accuracy: [0.         0.92314847 0.9443915  0.90050762 0.92923985 0.63544129
+        nan 0.66654946 0.76154024 0.13576906 0.95223513 0.18236811
+ 0.         0.13428218 0.         0.62953379 0.         0.
+ 0.89400131 0.06196648 0.56801551 0.65125268 0.40345821        nan
+ 0.04132141 0.3929294  0.31270845 0.         0.94826999 0.87554959
+ 0.97042967 0.03051151 0.14226116 0.3023746  0.        ]
+- Epoch: 48
 
 ## Model description
 
@@ -651,6 +651,17 @@ The following hyperparameters were used during training:
  0.87653714 0.07776801 0.5226676  0.71570028 0.11527378        nan
  0.05734444 0.42000828 0.35728182 0.         0.94526778 0.87853858
  0.96476425 0.06568009 0.06391322 0.27004723 0.        ]                                                                                                                                                        | 47    |
+| 0.1621     | 0.4094          | 0.3770              | 0.4361                   | 0.8898                      | [0.         0.82399384 0.89066451 0.819736   0.87845688 0.52339167
+        nan 0.51547818 0.58811266 0.11202084 0.86668833 0.16280099
+ 0.         0.08182504 0.         0.55484888 0.         0.
+ 0.76325378 0.05293637 0.40960729 0.5817725  0.34567901        nan
+ 0.03438815 0.31336815 0.27887594 0.         0.87318663 0.74216819
+ 0.94257309 0.02714967 0.0518505  0.20559452 0.        ]                                                                                                                                                        | [0.         0.92314847 0.9443915  0.90050762 0.92923985 0.63544129
+        nan 0.66654946 0.76154024 0.13576906 0.95223513 0.18236811
+ 0.         0.13428218 0.         0.62953379 0.         0.
+ 0.89400131 0.06196648 0.56801551 0.65125268 0.40345821        nan
+ 0.04132141 0.3929294  0.31270845 0.         0.94826999 0.87554959
+ 0.97042967 0.03051151 0.14226116 0.3023746  0.        ]                                                                                                                                                        | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b84151ff592b654b4551b46ab0474e1319569f977468223ddaee68d98d37af4
+oid sha256:88987609ef2f36e0ece9d1a335d98f1425f93ef04621492a08f1ec9940f878e8
 size 15167588