Training in progress epoch 45

README.md

@@ -14,30 +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: 0.1633
-- Validation Loss: 0.6958
-- Validation Mean Iou: 0.3460
-- Validation Mean Accuracy: 0.4328
-- Validation Overall Accuracy: 0.8496
-- Validation Per Category Iou: [0.00000000e+00 7.07967513e-01 8.64897292e-01 5.30492291e-01
- 5.41351423e-01 3.52224043e-01            nan 4.81002598e-01
- 5.30743896e-01 1.82704272e-01 8.36799496e-01 3.19967322e-03
- 0.00000000e+00 0.00000000e+00 2.70414280e-02 6.07536390e-01
- 0.00000000e+00 2.58297817e-04 7.24070745e-01 1.61121955e-01
- 4.93941753e-01 3.39722827e-01 1.68744805e-01            nan
- 2.13736107e-04 3.79707826e-01 2.58062945e-01 0.00000000e+00
- 8.60635733e-01 8.34524347e-01 9.28107342e-01 3.52373795e-02
- 2.69899565e-01 2.96337021e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 7.80104458e-01 9.38267660e-01 6.60722284e-01
- 7.00715501e-01 5.74914256e-01            nan 6.46841568e-01
- 6.89412555e-01 2.99829836e-01 9.37107209e-01 3.68714207e-03
- 0.00000000e+00            nan 2.72190936e-02 7.24927580e-01
- 0.00000000e+00 2.77008310e-04 9.00758420e-01 1.80932589e-01
- 6.38642366e-01 3.89678886e-01 1.93887297e-01            nan
- 4.20521447e-04 4.50414586e-01 3.35784469e-01 0.00000000e+00
- 9.51069425e-01 8.99380209e-01 9.68441171e-01 6.96016703e-02
- 4.95425466e-01 3.89915943e-01 0.00000000e+00]
-- Epoch: 44
+- 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
 
 ## Model description
 
@@ -636,6 +630,17 @@ The following hyperparameters were used during training:
  4.20521447e-04 4.50414586e-01 3.35784469e-01 0.00000000e+00
  9.51069425e-01 8.99380209e-01 9.68441171e-01 6.96016703e-02
  4.95425466e-01 3.89915943e-01 0.00000000e+00] | 44    |
+| 0.1590     | 0.6293          | 0.3558              | 0.4234                   | 0.8606                      | [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.        ]                                                                                                                                                | [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.        ]                                                                                                                                                | 45    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0a7366d97c1a9303b0b80c2446825a12aa2663608a8002a45fcd166347e94597
+oid sha256:de7768edd8e4ba5dd6fcff34aa492d8dcc0e77af738dca9a31f680dc627ac8b0
 size 15167588