Training in progress epoch 30

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: 0.2265
-- Validation Loss: 0.4246
-- Validation Mean Iou: 0.3481
-- Validation Mean Accuracy: 0.4050
-- Validation Overall Accuracy: 0.8802
-- Validation Per Category Iou: [0.         0.81690969 0.8780207  0.77104697 0.84868605 0.47437381
-        nan 0.4670048  0.56430385 0.0503272  0.85498949 0.10595414
- 0.         0.11204925 0.         0.53524176 0.         0.
- 0.74013112 0.04461066 0.39307836 0.51529041 0.                nan
- 0.01267638 0.28575942 0.24784411 0.         0.87024598 0.76078812
- 0.93874897 0.00447477 0.03791316 0.15759319 0.        ]
-- Validation Per Category Accuracy: [0.         0.90897891 0.95223635 0.79356326 0.91900275 0.59798835
-        nan 0.59817326 0.81432455 0.05827695 0.94238457 0.11364538
- 0.         0.13139439 0.         0.65023563 0.         0.
- 0.88394096 0.04698092 0.61423758 0.59820238 0.                nan
- 0.01437457 0.35860267 0.28456782 0.         0.93586082 0.86061465
- 0.96934172 0.00557116 0.10738423 0.20431221 0.        ]
-- Epoch: 29
+- Train Loss: 0.2067
+- Validation Loss: 0.4302
+- Validation Mean Iou: 0.3582
+- Validation Mean Accuracy: 0.4204
+- Validation Overall Accuracy: 0.8782
+- Validation Per Category Iou: [0.         0.80612851 0.87374492 0.77399105 0.80074838 0.5069675
+        nan 0.46617634 0.55019827 0.13081984 0.85635853 0.13375531
+ 0.         0.27468398 0.         0.54140892 0.         0.
+ 0.7462191  0.05761157 0.39168026 0.5446341  0.                nan
+ 0.01506284 0.29841736 0.22899218 0.         0.87061226 0.74041425
+ 0.93770948 0.13239158 0.00821369 0.13209342 0.        ]
+- Validation Per Category Accuracy: [0.         0.90557948 0.95169451 0.78927679 0.84910476 0.62275304
+        nan 0.60393893 0.82533454 0.18655841 0.94690627 0.1592622
+ 0.         0.33168317 0.         0.68313978 0.         0.
+ 0.88132122 0.06502636 0.62727359 0.66106362 0.                nan
+ 0.01804515 0.38855037 0.25931073 0.         0.94157236 0.8393111
+ 0.97364591 0.18567662 0.01985816 0.15624759 0.        ]
+- Epoch: 30
 
 ## Model description
 
@@ -441,6 +441,17 @@ The following hyperparameters were used during training:
  0.88394096 0.04698092 0.61423758 0.59820238 0.                nan
  0.01437457 0.35860267 0.28456782 0.         0.93586082 0.86061465
  0.96934172 0.00557116 0.10738423 0.20431221 0.        ]                                                                                                                                                        | 29    |
+| 0.2067     | 0.4302          | 0.3582              | 0.4204                   | 0.8782                      | [0.         0.80612851 0.87374492 0.77399105 0.80074838 0.5069675
+        nan 0.46617634 0.55019827 0.13081984 0.85635853 0.13375531
+ 0.         0.27468398 0.         0.54140892 0.         0.
+ 0.7462191  0.05761157 0.39168026 0.5446341  0.                nan
+ 0.01506284 0.29841736 0.22899218 0.         0.87061226 0.74041425
+ 0.93770948 0.13239158 0.00821369 0.13209342 0.        ]                                                                                                                                                         | [0.         0.90557948 0.95169451 0.78927679 0.84910476 0.62275304
+        nan 0.60393893 0.82533454 0.18655841 0.94690627 0.1592622
+ 0.         0.33168317 0.         0.68313978 0.         0.
+ 0.88132122 0.06502636 0.62727359 0.66106362 0.                nan
+ 0.01804515 0.38855037 0.25931073 0.         0.94157236 0.8393111
+ 0.97364591 0.18567662 0.01985816 0.15624759 0.        ]                                                                                                                                                          | 30    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e214721ff798b7b3ebde044cebcdad14f8e572068e7da70d03941e9615caf6c9
+oid sha256:10e029fc4d9d190b818f97b00c20f91b2b1aea66103ee9b06efb5a6c349e8f91
 size 15167588