Training in progress epoch 49

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: 0.1639
-- 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
+- Train Loss: 0.1548
+- Validation Loss: 0.6632
+- Validation Mean Iou: 0.3493
+- Validation Mean Accuracy: 0.4339
+- Validation Overall Accuracy: 0.8567
+- Validation Per Category Iou: [0.         0.72734562 0.87039109 0.50560252 0.51663228 0.36229545
+        nan 0.47776689 0.52940518 0.19241958 0.84155873 0.02830674
+ 0.         0.         0.00139925 0.60445893 0.         0.07574025
+ 0.7468094  0.14334183 0.4693584  0.40891129 0.14829822        nan
+ 0.00813972 0.40590805 0.26146138 0.         0.86026492 0.83512788
+ 0.93070718 0.0090409  0.18828452 0.37741323 0.        ]
+- Validation Per Category Accuracy: [0.         0.8310267  0.95392068 0.60428497 0.61919046 0.48613447
+        nan 0.65088444 0.66893242 0.25887691 0.92731001 0.04746215
+ 0.                nan 0.00160901 0.73867496 0.         0.08254848
+ 0.88137757 0.16531368 0.61751433 0.47250332 0.1747851         nan
+ 0.0144379  0.4916292  0.37381933 0.         0.951067   0.93445419
+ 0.96602575 0.01924771 0.46897572 0.48167827 0.        ]
+- Epoch: 49
 
 ## Model description
 
@@ -674,6 +674,17 @@ The following hyperparameters were used during training:
  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    |
+| 0.1548     | 0.6632          | 0.3493              | 0.4339                   | 0.8567                      | [0.         0.72734562 0.87039109 0.50560252 0.51663228 0.36229545
+        nan 0.47776689 0.52940518 0.19241958 0.84155873 0.02830674
+ 0.         0.         0.00139925 0.60445893 0.         0.07574025
+ 0.7468094  0.14334183 0.4693584  0.40891129 0.14829822        nan
+ 0.00813972 0.40590805 0.26146138 0.         0.86026492 0.83512788
+ 0.93070718 0.0090409  0.18828452 0.37741323 0.        ]                                                                                                                                                | [0.         0.8310267  0.95392068 0.60428497 0.61919046 0.48613447
+        nan 0.65088444 0.66893242 0.25887691 0.92731001 0.04746215
+ 0.                nan 0.00160901 0.73867496 0.         0.08254848
+ 0.88137757 0.16531368 0.61751433 0.47250332 0.1747851         nan
+ 0.0144379  0.4916292  0.37381933 0.         0.951067   0.93445419
+ 0.96602575 0.01924771 0.46897572 0.48167827 0.        ]                                                                                                                                                | 49    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1886cc782031cc4ee8270ebc17edff89a2ee5556553cf26e6a1aead317fdca87
+oid sha256:0d5b1506c93b96da7dd3708d98e5d28309a67a698447eccd51ca139249196b5f
 size 15167588