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: 0.1621
-- Validation Loss: 0.4094
-- Validation Mean Iou: 0.3770
-- Validation Mean Accuracy: 0.4361
-- Validation Overall Accuracy: 0.8898
-- Validation Per Category Iou: [0.         0.82399384 0.89066451 0.819736   0.87845688 0.52339167
-        nan 0.51547818 0.58811266 0.11202084 0.86668833 0.16280099
- 0.         0.08182504 0.         0.55484888 0.         0.
- 0.76325378 0.05293637 0.40960729 0.5817725  0.34567901        nan
- 0.03438815 0.31336815 0.27887594 0.         0.87318663 0.74216819
- 0.94257309 0.02714967 0.0518505  0.20559452 0.        ]
-- Validation Per Category Accuracy: [0.         0.92314847 0.9443915  0.90050762 0.92923985 0.63544129
-        nan 0.66654946 0.76154024 0.13576906 0.95223513 0.18236811
- 0.         0.13428218 0.         0.62953379 0.         0.
- 0.89400131 0.06196648 0.56801551 0.65125268 0.40345821        nan
- 0.04132141 0.3929294  0.31270845 0.         0.94826999 0.87554959
- 0.97042967 0.03051151 0.14226116 0.3023746  0.        ]
-- Epoch: 48
+- Train Loss: 0.1508
+- Validation Loss: 0.4301
+- Validation Mean Iou: 0.3689
+- Validation Mean Accuracy: 0.4261
+- Validation Overall Accuracy: 0.8878
+- Validation Per Category Iou: [0.         0.82155443 0.88837272 0.80869927 0.84681809 0.50445633
+        nan 0.5062558  0.58202362 0.09694114 0.86506226 0.10300594
+ 0.         0.03122511 0.         0.55651564 0.         0.
+ 0.76493797 0.04021662 0.40453306 0.56038987 0.34382567        nan
+ 0.02428609 0.30885576 0.28811326 0.         0.87087236 0.74857511
+ 0.94321046 0.02300712 0.03721037 0.20366003 0.        ]
+- Validation Per Category Accuracy: [0.         0.88109026 0.95044945 0.85142397 0.95993416 0.6370042
+        nan 0.65971511 0.81045852 0.11321606 0.95401169 0.10670369
+ 0.         0.04042904 0.         0.66801313 0.         0.
+ 0.90595882 0.04265001 0.5292762  0.61230561 0.4092219         nan
+ 0.0283755  0.37721503 0.3266398  0.         0.950358   0.87250445
+ 0.96996696 0.02583519 0.09486859 0.28234463 0.        ]
+- Epoch: 49
 
 ## Model description
 
@@ -662,6 +662,17 @@ The following hyperparameters were used during training:
  0.89400131 0.06196648 0.56801551 0.65125268 0.40345821        nan
  0.04132141 0.3929294  0.31270845 0.         0.94826999 0.87554959
  0.97042967 0.03051151 0.14226116 0.3023746  0.        ]                                                                                                                                                        | 48    |
+| 0.1508     | 0.4301          | 0.3689              | 0.4261                   | 0.8878                      | [0.         0.82155443 0.88837272 0.80869927 0.84681809 0.50445633
+        nan 0.5062558  0.58202362 0.09694114 0.86506226 0.10300594
+ 0.         0.03122511 0.         0.55651564 0.         0.
+ 0.76493797 0.04021662 0.40453306 0.56038987 0.34382567        nan
+ 0.02428609 0.30885576 0.28811326 0.         0.87087236 0.74857511
+ 0.94321046 0.02300712 0.03721037 0.20366003 0.        ]                                                                                                                                                        | [0.         0.88109026 0.95044945 0.85142397 0.95993416 0.6370042
+        nan 0.65971511 0.81045852 0.11321606 0.95401169 0.10670369
+ 0.         0.04042904 0.         0.66801313 0.         0.
+ 0.90595882 0.04265001 0.5292762  0.61230561 0.4092219         nan
+ 0.0283755  0.37721503 0.3266398  0.         0.950358   0.87250445
+ 0.96996696 0.02583519 0.09486859 0.28234463 0.        ]                                                                                                                                                         | 49    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:88987609ef2f36e0ece9d1a335d98f1425f93ef04621492a08f1ec9940f878e8
+oid sha256:8894fa8ef64a416b27173364c20c8a2660bd4885ba9e667b4cbc472c49d47eea
 size 15167588