Training in progress epoch 48

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: 0.1585
-- 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
+- Train Loss: 0.1639
+- Validation Loss: 0.6638
+- Validation Mean Iou: 0.3419
+- Validation Mean Accuracy: 0.4233
+- Validation Overall Accuracy: 0.8550
+- Validation Per Category Iou: [0.         0.71865709 0.87209576 0.51914185 0.52707584 0.34995032
+        nan 0.47794158 0.52451758 0.11065204 0.82877906 0.01060281
+ 0.         0.         0.         0.59107325 0.         0.00219268
+ 0.74962568 0.1609274  0.4762318  0.33886038 0.19541139        nan
+ 0.02215171 0.34158934 0.25257756 0.         0.86041496 0.84133428
+ 0.93256709 0.01013283 0.22474757 0.34358617 0.        ]
+- Validation Per Category Accuracy: [0.         0.82173299 0.95295172 0.62366599 0.63033983 0.46985838
+        nan 0.68757943 0.68378206 0.13216109 0.92608194 0.01396407
+ 0.                nan 0.         0.69481071 0.         0.00221607
+ 0.88532781 0.1871834  0.63924586 0.39075818 0.23591213        nan
+ 0.0508831  0.43050089 0.33698891 0.         0.95263534 0.94223109
+ 0.96931761 0.02135191 0.42106349 0.44273059 0.        ]
+- Epoch: 48
 
 ## Model description
 
@@ -663,6 +663,17 @@ The following hyperparameters were used during training:
  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    |
+| 0.1639     | 0.6638          | 0.3419              | 0.4233                   | 0.8550                      | [0.         0.71865709 0.87209576 0.51914185 0.52707584 0.34995032
+        nan 0.47794158 0.52451758 0.11065204 0.82877906 0.01060281
+ 0.         0.         0.         0.59107325 0.         0.00219268
+ 0.74962568 0.1609274  0.4762318  0.33886038 0.19541139        nan
+ 0.02215171 0.34158934 0.25257756 0.         0.86041496 0.84133428
+ 0.93256709 0.01013283 0.22474757 0.34358617 0.        ]                                                                                                                                                | [0.         0.82173299 0.95295172 0.62366599 0.63033983 0.46985838
+        nan 0.68757943 0.68378206 0.13216109 0.92608194 0.01396407
+ 0.                nan 0.         0.69481071 0.         0.00221607
+ 0.88532781 0.1871834  0.63924586 0.39075818 0.23591213        nan
+ 0.0508831  0.43050089 0.33698891 0.         0.95263534 0.94223109
+ 0.96931761 0.02135191 0.42106349 0.44273059 0.        ]                                                                                                                                                | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d116f92c205cd89c23446b4738166e777558149253c36787b85fea3e9276784
+oid sha256:1886cc782031cc4ee8270ebc17edff89a2ee5556553cf26e6a1aead317fdca87
 size 15167588