Training in progress epoch 46

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: 0.1590
-- Validation Loss: 0.6293
-- Validation Mean Iou: 0.3558
-- Validation Mean Accuracy: 0.4234
-- Validation Overall Accuracy: 0.8606
-- Validation Per Category Iou: [0.         0.74163869 0.88205204 0.54911739 0.60879969 0.37575291
-        nan 0.46671858 0.52160161 0.13121611 0.83434189 0.00456944
- 0.                nan 0.         0.59455616 0.         0.00535738
- 0.72723539 0.15986011 0.48674166 0.28348327 0.23636364        nan
- 0.00303434 0.38082673 0.25664616 0.         0.86353231 0.83595976
- 0.92501318 0.00548342 0.22462229 0.28217572 0.        ]
-- Validation Per Category Accuracy: [0.         0.85255257 0.95625352 0.65040542 0.67091775 0.50593133
-        nan 0.64781137 0.68074142 0.14412933 0.93374747 0.00556994
- 0.                nan 0.         0.71512586 0.         0.00567867
- 0.90468613 0.17960125 0.64272168 0.30710121 0.29799427        nan
- 0.00574713 0.47478367 0.32006339 0.         0.95706686 0.91493821
- 0.96762029 0.01068411 0.44744445 0.34790366 0.        ]
-- Epoch: 45
+- Train Loss: 0.1583
+- Validation Loss: 0.6668
+- Validation Mean Iou: 0.3453
+- Validation Mean Accuracy: 0.4290
+- Validation Overall Accuracy: 0.8570
+- Validation Per Category Iou: [0.         0.73912322 0.88184035 0.54202375 0.61989079 0.33733122
+        nan 0.47375403 0.53749898 0.12581496 0.8420281  0.04242981
+ 0.         0.         0.03156768 0.60852625 0.         0.03146446
+ 0.72119287 0.1604611  0.43005717 0.28221047 0.19100237        nan
+ 0.         0.38758683 0.27132107 0.         0.86228214 0.81115316
+ 0.92821964 0.01429115 0.21712915 0.30522837 0.        ]
+- Validation Per Category Accuracy: [0.         0.82547277 0.95706472 0.64436493 0.74909042 0.46153021
+        nan 0.62990635 0.75593544 0.14339195 0.92848243 0.06887895
+ 0.                nan 0.03164387 0.73716412 0.         0.03365651
+ 0.90908329 0.16610923 0.54632489 0.32057627 0.23113658        nan
+ 0.         0.47346874 0.37026941 0.         0.93536071 0.94649997
+ 0.9651882  0.0336998  0.46694641 0.39575856 0.        ]
+- Epoch: 46
 
 ## Model description
 
@@ -641,6 +641,17 @@ The following hyperparameters were used during training:
  0.90468613 0.17960125 0.64272168 0.30710121 0.29799427        nan
  0.00574713 0.47478367 0.32006339 0.         0.95706686 0.91493821
  0.96762029 0.01068411 0.44744445 0.34790366 0.        ]                                                                                                                                                | 45    |
+| 0.1583     | 0.6668          | 0.3453              | 0.4290                   | 0.8570                      | [0.         0.73912322 0.88184035 0.54202375 0.61989079 0.33733122
+        nan 0.47375403 0.53749898 0.12581496 0.8420281  0.04242981
+ 0.         0.         0.03156768 0.60852625 0.         0.03146446
+ 0.72119287 0.1604611  0.43005717 0.28221047 0.19100237        nan
+ 0.         0.38758683 0.27132107 0.         0.86228214 0.81115316
+ 0.92821964 0.01429115 0.21712915 0.30522837 0.        ]                                                                                                                                                | [0.         0.82547277 0.95706472 0.64436493 0.74909042 0.46153021
+        nan 0.62990635 0.75593544 0.14339195 0.92848243 0.06887895
+ 0.                nan 0.03164387 0.73716412 0.         0.03365651
+ 0.90908329 0.16610923 0.54632489 0.32057627 0.23113658        nan
+ 0.         0.47346874 0.37026941 0.         0.93536071 0.94649997
+ 0.9651882  0.0336998  0.46694641 0.39575856 0.        ]                                                                                                                                                | 46    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a658c5e45431273ad86bc047e34d2fd388f9676801f4c073040841cb70eead8a
 size 15167588