Training in progress epoch 33

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: 0.2068
-- Validation Loss: 0.4805
-- Validation Mean Iou: 0.3370
-- Validation Mean Accuracy: 0.3952
-- Validation Overall Accuracy: 0.8643
-- Validation Per Category Iou: [0.         0.77056757 0.8601312  0.79546358 0.80826542 0.46090981
-        nan 0.47734482 0.58905088 0.03181978 0.85901467 0.01694625
- 0.         0.00549451 0.         0.48326241 0.         0.
- 0.71413255 0.08548594 0.355285   0.56037404 0.                nan
- 0.11377479 0.28155688 0.23155416 0.         0.84077004 0.62872483
- 0.94074387 0.04323906 0.00477968 0.16213294 0.        ]
-- Validation Per Category Accuracy: [0.         0.86625295 0.93033124 0.83741848 0.95175277 0.58905634
-        nan 0.60932022 0.77904824 0.04077582 0.93578138 0.01963507
- 0.         0.00556931 0.         0.57342422 0.         0.
- 0.8469629  0.09113733 0.63002638 0.69225687 0.                nan
- 0.12851397 0.34756471 0.25621873 0.         0.94994706 0.68278681
- 0.96967504 0.05913709 0.01677096 0.23138435 0.        ]
-- Epoch: 32
+- Train Loss: 0.2026
+- Validation Loss: 0.4072
+- Validation Mean Iou: 0.3583
+- Validation Mean Accuracy: 0.4178
+- Validation Overall Accuracy: 0.8851
+- Validation Per Category Iou: [0.         0.82427491 0.88959049 0.80744875 0.87290087 0.48819667
+        nan 0.49479206 0.5689031  0.01115143 0.86655557 0.12424298
+ 0.         0.08815858 0.         0.54211487 0.         0.
+ 0.73966336 0.07793422 0.39875788 0.55704844 0.                nan
+ 0.12136758 0.29085268 0.26794571 0.         0.86907912 0.7468531
+ 0.94141202 0.04189236 0.01138124 0.18175892 0.        ]
+- Validation Per Category Accuracy: [0.         0.90820792 0.94843014 0.86590797 0.935603   0.6234152
+        nan 0.65185001 0.7529887  0.01136671 0.9412309  0.13427211
+ 0.         0.10457921 0.         0.6997812  0.         0.
+ 0.87681775 0.08373086 0.56962713 0.71690686 0.                nan
+ 0.15183419 0.36895259 0.31343802 0.         0.93965024 0.8725032
+ 0.97198241 0.05008275 0.04046725 0.25251491 0.        ]
+- Epoch: 33
 
 ## Model description
 
@@ -480,6 +480,17 @@ The following hyperparameters were used during training:
  0.8469629  0.09113733 0.63002638 0.69225687 0.                nan
  0.12851397 0.34756471 0.25621873 0.         0.94994706 0.68278681
  0.96967504 0.05913709 0.01677096 0.23138435 0.        ]                                                                                                                                                        | 32    |
+| 0.2026     | 0.4072          | 0.3583              | 0.4178                   | 0.8851                      | [0.         0.82427491 0.88959049 0.80744875 0.87290087 0.48819667
+        nan 0.49479206 0.5689031  0.01115143 0.86655557 0.12424298
+ 0.         0.08815858 0.         0.54211487 0.         0.
+ 0.73966336 0.07793422 0.39875788 0.55704844 0.                nan
+ 0.12136758 0.29085268 0.26794571 0.         0.86907912 0.7468531
+ 0.94141202 0.04189236 0.01138124 0.18175892 0.        ]                                                                                                                                                         | [0.         0.90820792 0.94843014 0.86590797 0.935603   0.6234152
+        nan 0.65185001 0.7529887  0.01136671 0.9412309  0.13427211
+ 0.         0.10457921 0.         0.6997812  0.         0.
+ 0.87681775 0.08373086 0.56962713 0.71690686 0.                nan
+ 0.15183419 0.36895259 0.31343802 0.         0.93965024 0.8725032
+ 0.97198241 0.05008275 0.04046725 0.25251491 0.        ]                                                                                                                                                          | 33    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:73ddaa1a0dd0ee7f5b76c0d923cdad45cf43c556ccf4024601d2740d9c51e94e
+oid sha256:4254c2350885191a36dfb327daec0f2a318cc9b26694c615d0a67cde5c03f41e
 size 15167588