Training in progress epoch 43

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: 0.1789
-- 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
+- Train Loss: 0.1747
+- Validation Loss: 0.6300
+- Validation Mean Iou: 0.3453
+- Validation Mean Accuracy: 0.4256
+- Validation Overall Accuracy: 0.8568
+- Validation Per Category Iou: [0.         0.73808492 0.87628034 0.52271507 0.56354951 0.37292345
+        nan 0.47493813 0.54315812 0.12941955 0.83487747 0.01042155
+ 0.         0.         0.01888056 0.5850729  0.         0.00679561
+ 0.72865655 0.16298805 0.50779295 0.35281309 0.1483209         nan
+ 0.00146372 0.39135342 0.26493341 0.         0.85556625 0.80147756
+ 0.92444109 0.02342468 0.24566577 0.30760098 0.        ]
+- Validation Per Category Accuracy: [0.         0.82415433 0.95253909 0.65333127 0.67595726 0.52431439
+        nan 0.64563739 0.70549967 0.15530346 0.92934642 0.01396407
+ 0.                nan 0.01890587 0.67997703 0.         0.00720222
+ 0.90355305 0.19458696 0.64474034 0.38600282 0.15186246        nan
+ 0.00294365 0.45284562 0.34301109 0.         0.93293094 0.94313517
+ 0.96948846 0.04120314 0.47275917 0.39519926 0.        ]
+- Epoch: 43
 
 ## Model description
 
@@ -602,6 +602,17 @@ The following hyperparameters were used during training:
  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    |
+| 0.1747     | 0.6300          | 0.3453              | 0.4256                   | 0.8568                      | [0.         0.73808492 0.87628034 0.52271507 0.56354951 0.37292345
+        nan 0.47493813 0.54315812 0.12941955 0.83487747 0.01042155
+ 0.         0.         0.01888056 0.5850729  0.         0.00679561
+ 0.72865655 0.16298805 0.50779295 0.35281309 0.1483209         nan
+ 0.00146372 0.39135342 0.26493341 0.         0.85556625 0.80147756
+ 0.92444109 0.02342468 0.24566577 0.30760098 0.        ]                                                                                                                                                | [0.         0.82415433 0.95253909 0.65333127 0.67595726 0.52431439
+        nan 0.64563739 0.70549967 0.15530346 0.92934642 0.01396407
+ 0.                nan 0.01890587 0.67997703 0.         0.00720222
+ 0.90355305 0.19458696 0.64474034 0.38600282 0.15186246        nan
+ 0.00294365 0.45284562 0.34301109 0.         0.93293094 0.94313517
+ 0.96948846 0.04120314 0.47275917 0.39519926 0.        ]                                                                                                                                                | 43    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9d2021121dbc09e082d91efdc6c295f430a8fd6ac18e989d84c73ea57b053fe4
 size 15167588