Training in progress epoch 42

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: 0.1700
-- Validation Loss: 0.6443
-- Validation Mean Iou: 0.3403
-- Validation Mean Accuracy: 0.4240
-- Validation Overall Accuracy: 0.8532
-- Validation Per Category Iou: [0.00000000e+00 7.24228056e-01 8.68129666e-01 5.21511493e-01
- 5.57290409e-01 3.62881751e-01            nan 4.79856526e-01
- 5.50234987e-01 1.16441909e-01 8.39479458e-01 2.26084595e-02
- 0.00000000e+00 0.00000000e+00 3.64709037e-02 6.08090063e-01
- 0.00000000e+00 0.00000000e+00 7.23460392e-01 1.44931232e-01
- 4.69174359e-01 3.43091068e-01 2.37868696e-02            nan
- 2.93491819e-04 4.00535432e-01 2.45157323e-01 0.00000000e+00
- 8.62756146e-01 8.36036309e-01 9.28980262e-01 3.21989502e-02
- 2.22340672e-01 3.10515477e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 8.16929831e-01 9.38586432e-01 6.15180142e-01
- 6.92548207e-01 5.76970117e-01            nan 6.54117124e-01
- 7.45098732e-01 1.27339762e-01 9.24663342e-01 2.61237938e-02
- 0.00000000e+00            nan 3.64709037e-02 7.78980621e-01
- 0.00000000e+00 0.00000000e+00 8.97366839e-01 1.56887258e-01
- 6.13979302e-01 3.85112634e-01 2.38777459e-02            nan
- 5.60695262e-04 4.70527101e-01 3.03264659e-01 0.00000000e+00
- 9.54609903e-01 9.12592076e-01 9.66222983e-01 5.07291293e-02
- 4.94978331e-01 4.04589503e-01 0.00000000e+00]
-- Epoch: 41
+- Train Loss: 0.1789
+- Validation Loss: 0.6390
+- Validation Mean Iou: 0.3547
+- Validation Mean Accuracy: 0.4300
+- Validation Overall Accuracy: 0.8560
+- Validation Per Category Iou: [0.         0.71643012 0.8714936  0.51948375 0.55552363 0.36657904
+        nan 0.46104367 0.53690716 0.14993871 0.82822187 0.00512328
+ 0.                nan 0.02601234 0.61495312 0.         0.
+ 0.75272992 0.14199988 0.48055034 0.42794784 0.12123818        nan
+ 0.00349075 0.38506001 0.27487948 0.         0.85994965 0.83038974
+ 0.92152801 0.01375312 0.19381583 0.29018807 0.        ]
+- Validation Per Category Accuracy: [0.         0.79875613 0.94967717 0.64954568 0.72657476 0.49408239
+        nan 0.65311903 0.71725564 0.17345434 0.91856921 0.00627599
+ 0.                nan 0.02601234 0.7419089  0.         0.
+ 0.89538722 0.15982595 0.62769161 0.52725453 0.13467049        nan
+ 0.00742921 0.46568763 0.36507132 0.         0.95836035 0.90302518
+ 0.9732109  0.01714351 0.50254523 0.36623348 0.        ]
+- Epoch: 42
 
 ## Model description
 
@@ -597,6 +591,17 @@ The following hyperparameters were used during training:
  5.60695262e-04 4.70527101e-01 3.03264659e-01 0.00000000e+00
  9.54609903e-01 9.12592076e-01 9.66222983e-01 5.07291293e-02
  4.94978331e-01 4.04589503e-01 0.00000000e+00] | 41    |
+| 0.1789     | 0.6390          | 0.3547              | 0.4300                   | 0.8560                      | [0.         0.71643012 0.8714936  0.51948375 0.55552363 0.36657904
+        nan 0.46104367 0.53690716 0.14993871 0.82822187 0.00512328
+ 0.                nan 0.02601234 0.61495312 0.         0.
+ 0.75272992 0.14199988 0.48055034 0.42794784 0.12123818        nan
+ 0.00349075 0.38506001 0.27487948 0.         0.85994965 0.83038974
+ 0.92152801 0.01375312 0.19381583 0.29018807 0.        ]                                                                                                                                                        | [0.         0.79875613 0.94967717 0.64954568 0.72657476 0.49408239
+        nan 0.65311903 0.71725564 0.17345434 0.91856921 0.00627599
+ 0.                nan 0.02601234 0.7419089  0.         0.
+ 0.89538722 0.15982595 0.62769161 0.52725453 0.13467049        nan
+ 0.00742921 0.46568763 0.36507132 0.         0.95836035 0.90302518
+ 0.9732109  0.01714351 0.50254523 0.36623348 0.        ]                                                                                                                                                        | 42    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0c8b55a02e7fdcec752add77c16b25b204c5944c5ece0b59517bedf0ca111b99
+oid sha256:0dbc76bab81c0f9a518df1ba4eee53922fc12b25f73e943453c1592bfe096895
 size 15167588