Training in progress epoch 36

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: 0.1856
-- Validation Loss: 0.4192
-- Validation Mean Iou: 0.3656
-- Validation Mean Accuracy: 0.4327
-- Validation Overall Accuracy: 0.8810
-- Validation Per Category Iou: [0.         0.80138932 0.88262901 0.81089302 0.86535724 0.47775953
-        nan 0.47998869 0.57502219 0.0555217  0.8547197  0.09356223
- 0.         0.29941446 0.         0.4994726  0.         0.
- 0.74427779 0.10476547 0.39876117 0.530613   0.                nan
- 0.06260014 0.28825048 0.26307467 0.         0.86958647 0.76353802
- 0.93445836 0.20078295 0.02415195 0.18310195 0.        ]
-- Validation Per Category Accuracy: [0.         0.92397697 0.93724033 0.85106091 0.92750395 0.5475243
-        nan 0.64661523 0.82444757 0.07397384 0.94253458 0.12971043
- 0.         0.39026403 0.         0.56784903 0.         0.
- 0.88627818 0.11856641 0.54413363 0.67935232 0.                nan
- 0.0841594  0.35805457 0.30635075 0.         0.93943008 0.852706
- 0.97181886 0.43921754 0.0738423  0.26218876 0.        ]
-- Epoch: 35
+- Train Loss: 0.1823
+- Validation Loss: 0.4526
+- Validation Mean Iou: 0.3522
+- Validation Mean Accuracy: 0.4102
+- Validation Overall Accuracy: 0.8767
+- Validation Per Category Iou: [0.         0.78316685 0.87642881 0.75047304 0.86249292 0.46791957
+        nan 0.49549382 0.57114384 0.08703693 0.86072555 0.10211813
+ 0.         0.18376371 0.         0.49874928 0.         0.
+ 0.73435033 0.05303611 0.39974749 0.45439447 0.                nan
+ 0.03187949 0.28929847 0.252677   0.         0.8723413  0.74111546
+ 0.93814337 0.0911524  0.01717172 0.20816307 0.        ]
+- Validation Per Category Accuracy: [0.         0.92816869 0.93137636 0.78767061 0.92675339 0.59854763
+        nan 0.62024483 0.71829085 0.14009923 0.95105293 0.11761206
+ 0.         0.21431518 0.         0.56629218 0.         0.
+ 0.87048153 0.05749435 0.53241044 0.64072965 0.                nan
+ 0.03600237 0.35849772 0.27463174 0.         0.93890724 0.88137406
+ 0.97292233 0.14287776 0.04397163 0.28736837 0.        ]
+- Epoch: 36
 
 ## Model description
 
@@ -513,6 +513,17 @@ The following hyperparameters were used during training:
  0.88627818 0.11856641 0.54413363 0.67935232 0.                nan
  0.0841594  0.35805457 0.30635075 0.         0.93943008 0.852706
  0.97181886 0.43921754 0.0738423  0.26218876 0.        ]                                                                                                                                                           | 35    |
+| 0.1823     | 0.4526          | 0.3522              | 0.4102                   | 0.8767                      | [0.         0.78316685 0.87642881 0.75047304 0.86249292 0.46791957
+        nan 0.49549382 0.57114384 0.08703693 0.86072555 0.10211813
+ 0.         0.18376371 0.         0.49874928 0.         0.
+ 0.73435033 0.05303611 0.39974749 0.45439447 0.                nan
+ 0.03187949 0.28929847 0.252677   0.         0.8723413  0.74111546
+ 0.93814337 0.0911524  0.01717172 0.20816307 0.        ]                                                                                                                                                        | [0.         0.92816869 0.93137636 0.78767061 0.92675339 0.59854763
+        nan 0.62024483 0.71829085 0.14009923 0.95105293 0.11761206
+ 0.         0.21431518 0.         0.56629218 0.         0.
+ 0.87048153 0.05749435 0.53241044 0.64072965 0.                nan
+ 0.03600237 0.35849772 0.27463174 0.         0.93890724 0.88137406
+ 0.97292233 0.14287776 0.04397163 0.28736837 0.        ]                                                                                                                                                        | 36    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dff027d43fbfb2f86a59a50119bb057f4eca7da0410ad1bda8e78a1d05f98fb4
 size 15167588