Training in progress epoch 47

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: 0.1583
-- Validation Loss: 0.6668
-- Validation Mean Iou: 0.3453
-- Validation Mean Accuracy: 0.4290
-- Validation Overall Accuracy: 0.8570
-- Validation Per Category Iou: [0.         0.73912322 0.88184035 0.54202375 0.61989079 0.33733122
-        nan 0.47375403 0.53749898 0.12581496 0.8420281  0.04242981
- 0.         0.         0.03156768 0.60852625 0.         0.03146446
- 0.72119287 0.1604611  0.43005717 0.28221047 0.19100237        nan
- 0.         0.38758683 0.27132107 0.         0.86228214 0.81115316
- 0.92821964 0.01429115 0.21712915 0.30522837 0.        ]
-- Validation Per Category Accuracy: [0.         0.82547277 0.95706472 0.64436493 0.74909042 0.46153021
-        nan 0.62990635 0.75593544 0.14339195 0.92848243 0.06887895
- 0.                nan 0.03164387 0.73716412 0.         0.03365651
- 0.90908329 0.16610923 0.54632489 0.32057627 0.23113658        nan
- 0.         0.47346874 0.37026941 0.         0.93536071 0.94649997
- 0.9651882  0.0336998  0.46694641 0.39575856 0.        ]
-- Epoch: 46
+- Train Loss: 0.1585
+- Validation Loss: 0.6725
+- Validation Mean Iou: 0.3415
+- Validation Mean Accuracy: 0.4190
+- Validation Overall Accuracy: 0.8535
+- Validation Per Category Iou: [0.         0.74284532 0.86678428 0.54130328 0.592518   0.33619826
+        nan 0.47860921 0.53555311 0.13615702 0.840225   0.0324756
+ 0.         0.         0.0125921  0.5772223  0.00713938 0.07961865
+ 0.69787318 0.15411381 0.42659167 0.31988305 0.21068702        nan
+ 0.00789658 0.30050464 0.26163173 0.         0.86535926 0.84362947
+ 0.931857   0.00939852 0.24908615 0.21156364 0.        ]
+- Validation Per Category Accuracy: [0.         0.82243054 0.9543983  0.64364591 0.71581322 0.46329434
+        nan 0.64800735 0.71539944 0.14951787 0.92976332 0.04306896
+ 0.                nan 0.01260392 0.66980072 0.00718133 0.08559557
+ 0.92171657 0.17258735 0.49634561 0.36358206 0.26361032        nan
+ 0.01583964 0.36433429 0.35290016 0.         0.95135747 0.92044025
+ 0.96608409 0.01171174 0.46171837 0.28381055 0.        ]
+- Epoch: 47
 
 ## Model description
 
@@ -652,6 +652,17 @@ The following hyperparameters were used during training:
  0.90908329 0.16610923 0.54632489 0.32057627 0.23113658        nan
  0.         0.47346874 0.37026941 0.         0.93536071 0.94649997
  0.9651882  0.0336998  0.46694641 0.39575856 0.        ]                                                                                                                                                | 46    |
+| 0.1585     | 0.6725          | 0.3415              | 0.4190                   | 0.8535                      | [0.         0.74284532 0.86678428 0.54130328 0.592518   0.33619826
+        nan 0.47860921 0.53555311 0.13615702 0.840225   0.0324756
+ 0.         0.         0.0125921  0.5772223  0.00713938 0.07961865
+ 0.69787318 0.15411381 0.42659167 0.31988305 0.21068702        nan
+ 0.00789658 0.30050464 0.26163173 0.         0.86535926 0.84362947
+ 0.931857   0.00939852 0.24908615 0.21156364 0.        ]                                                                                                                                                 | [0.         0.82243054 0.9543983  0.64364591 0.71581322 0.46329434
+        nan 0.64800735 0.71539944 0.14951787 0.92976332 0.04306896
+ 0.                nan 0.01260392 0.66980072 0.00718133 0.08559557
+ 0.92171657 0.17258735 0.49634561 0.36358206 0.26361032        nan
+ 0.01583964 0.36433429 0.35290016 0.         0.95135747 0.92044025
+ 0.96608409 0.01171174 0.46171837 0.28381055 0.        ]                                                                                                                                                | 47    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a658c5e45431273ad86bc047e34d2fd388f9676801f4c073040841cb70eead8a
+oid sha256:2d116f92c205cd89c23446b4738166e777558149253c36787b85fea3e9276784
 size 15167588