Training in progress epoch 31

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: 0.1966
-- Validation Loss: 0.6353
-- Validation Mean Iou: 0.3338
-- Validation Mean Accuracy: 0.4147
-- Validation Overall Accuracy: 0.8559
-- Validation Per Category Iou: [0.00000000e+00 7.46226014e-01 8.72110068e-01 4.93922978e-01
- 5.26412038e-01 4.00773677e-01            nan 4.45688817e-01
- 5.23812431e-01 1.21566560e-01 8.26532791e-01 1.30318629e-04
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.85128983e-01
- 0.00000000e+00 0.00000000e+00 7.22504247e-01 1.45035174e-01
- 4.63070111e-01 3.63454409e-01 0.00000000e+00            nan
- 1.07188795e-03 3.65266517e-01 2.28463891e-01 0.00000000e+00
- 8.62155619e-01 8.27775346e-01 9.23668564e-01 2.18692832e-02
- 2.21420489e-01 3.26921195e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 8.38305417e-01 9.51300548e-01 5.94095086e-01
- 6.61940847e-01 5.00124050e-01            nan 6.26111992e-01
- 6.82571110e-01 1.43845718e-01 9.27611840e-01 1.56899663e-04
- 0.00000000e+00            nan 0.00000000e+00 7.46279093e-01
- 0.00000000e+00 0.00000000e+00 9.09177452e-01 1.80088323e-01
- 5.92585802e-01 4.07895465e-01 0.00000000e+00            nan
- 2.10260723e-03 4.46415580e-01 3.07828843e-01 0.00000000e+00
- 9.47583864e-01 9.26186116e-01 9.65631281e-01 4.71895084e-02
- 4.64401183e-01 4.01499481e-01 0.00000000e+00]
-- Epoch: 30
+- Train Loss: 0.1948
+- Validation Loss: 0.6286
+- Validation Mean Iou: 0.3352
+- Validation Mean Accuracy: 0.4155
+- Validation Overall Accuracy: 0.8554
+- Validation Per Category Iou: [0.         0.74480318 0.86761128 0.5176209  0.5190301  0.40152005
+        nan 0.4527552  0.53233406 0.15708484 0.82879754 0.00217143
+ 0.         0.         0.         0.58339119 0.         0.
+ 0.72814199 0.14335127 0.46532525 0.37317693 0.                nan
+ 0.00161007 0.3834689  0.24461318 0.         0.86028821 0.82354793
+ 0.92365312 0.00621865 0.20450293 0.29498818 0.        ]
+- Validation Per Category Accuracy: [0.         0.85793814 0.94828919 0.60320043 0.61968345 0.53021019
+        nan 0.631553   0.67209681 0.19744753 0.9241889  0.00298109
+ 0.                nan 0.         0.72392868 0.         0.
+ 0.89955641 0.1682199  0.58754204 0.44020516 0.                nan
+ 0.00308382 0.49677594 0.31448494 0.         0.94186424 0.93023771
+ 0.96854534 0.01029263 0.46237188 0.36048331 0.        ]
+- Epoch: 31
 
 ## Model description
 
@@ -458,6 +452,17 @@ The following hyperparameters were used during training:
  2.10260723e-03 4.46415580e-01 3.07828843e-01 0.00000000e+00
  9.47583864e-01 9.26186116e-01 9.65631281e-01 4.71895084e-02
  4.64401183e-01 4.01499481e-01 0.00000000e+00] | 30    |
+| 0.1948     | 0.6286          | 0.3352              | 0.4155                   | 0.8554                      | [0.         0.74480318 0.86761128 0.5176209  0.5190301  0.40152005
+        nan 0.4527552  0.53233406 0.15708484 0.82879754 0.00217143
+ 0.         0.         0.         0.58339119 0.         0.
+ 0.72814199 0.14335127 0.46532525 0.37317693 0.                nan
+ 0.00161007 0.3834689  0.24461318 0.         0.86028821 0.82354793
+ 0.92365312 0.00621865 0.20450293 0.29498818 0.        ]                                                                                                                                                        | [0.         0.85793814 0.94828919 0.60320043 0.61968345 0.53021019
+        nan 0.631553   0.67209681 0.19744753 0.9241889  0.00298109
+ 0.                nan 0.         0.72392868 0.         0.
+ 0.89955641 0.1682199  0.58754204 0.44020516 0.                nan
+ 0.00308382 0.49677594 0.31448494 0.         0.94186424 0.93023771
+ 0.96854534 0.01029263 0.46237188 0.36048331 0.        ]                                                                                                                                                        | 31    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:368321b3499e19f9b9d9bb3f26cbaf59f732a6fbd63d608060e7c7e1201fc5ab
 size 15167588