Training in progress epoch 37

README.md

@@ -14,24 +14,30 @@ 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: 0.1823
-- 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
+- Train Loss: 0.1828
+- Validation Loss: 0.4314
+- Validation Mean Iou: 0.3540
+- Validation Mean Accuracy: 0.4137
+- Validation Overall Accuracy: 0.8837
+- Validation Per Category Iou: [0.00000000e+00 8.08817183e-01 8.86533437e-01 8.29367464e-01
+ 8.66921982e-01 5.02412424e-01            nan 4.88635866e-01
+ 5.60640323e-01 8.39031061e-02 8.56029524e-01 1.48001648e-01
+ 0.00000000e+00 2.88729590e-02 0.00000000e+00 5.27888135e-01
+ 0.00000000e+00 0.00000000e+00 7.40145106e-01 5.94355934e-02
+ 3.83677842e-01 5.51371204e-01 0.00000000e+00            nan
+ 2.54484244e-02 2.99810052e-01 2.57164681e-01 0.00000000e+00
+ 8.66461858e-01 7.59758000e-01 9.39794819e-01 8.55545803e-03
+ 2.93707321e-04 2.00986041e-01 0.00000000e+00]
+- Validation Per Category Accuracy: [0.00000000e+00 9.20986697e-01 9.42897048e-01 8.79794678e-01
+ 9.16674152e-01 6.25797872e-01            nan 6.53392696e-01
+ 7.86385022e-01 1.54984213e-01 9.51069237e-01 1.78103927e-01
+ 0.00000000e+00 2.99092409e-02 0.00000000e+00 6.40158209e-01
+ 0.00000000e+00 0.00000000e+00 8.70579667e-01 6.04130053e-02
+ 5.57868972e-01 7.35243038e-01 0.00000000e+00            nan
+ 3.09031365e-02 3.74579444e-01 2.92419400e-01 0.00000000e+00
+ 9.45130703e-01 8.41614926e-01 9.69892426e-01 8.91001463e-03
+ 6.67501043e-04 2.82612669e-01 0.00000000e+00]
+- Epoch: 37
 
 ## Model description
 
@@ -524,6 +530,23 @@ The following hyperparameters were used during training:
  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    |
+| 0.1828     | 0.4314          | 0.3540              | 0.4137                   | 0.8837                      | [0.00000000e+00 8.08817183e-01 8.86533437e-01 8.29367464e-01
+ 8.66921982e-01 5.02412424e-01            nan 4.88635866e-01
+ 5.60640323e-01 8.39031061e-02 8.56029524e-01 1.48001648e-01
+ 0.00000000e+00 2.88729590e-02 0.00000000e+00 5.27888135e-01
+ 0.00000000e+00 0.00000000e+00 7.40145106e-01 5.94355934e-02
+ 3.83677842e-01 5.51371204e-01 0.00000000e+00            nan
+ 2.54484244e-02 2.99810052e-01 2.57164681e-01 0.00000000e+00
+ 8.66461858e-01 7.59758000e-01 9.39794819e-01 8.55545803e-03
+ 2.93707321e-04 2.00986041e-01 0.00000000e+00] | [0.00000000e+00 9.20986697e-01 9.42897048e-01 8.79794678e-01
+ 9.16674152e-01 6.25797872e-01            nan 6.53392696e-01
+ 7.86385022e-01 1.54984213e-01 9.51069237e-01 1.78103927e-01
+ 0.00000000e+00 2.99092409e-02 0.00000000e+00 6.40158209e-01
+ 0.00000000e+00 0.00000000e+00 8.70579667e-01 6.04130053e-02
+ 5.57868972e-01 7.35243038e-01 0.00000000e+00            nan
+ 3.09031365e-02 3.74579444e-01 2.92419400e-01 0.00000000e+00
+ 9.45130703e-01 8.41614926e-01 9.69892426e-01 8.91001463e-03
+ 6.67501043e-04 2.82612669e-01 0.00000000e+00] | 37    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:78c0a6cd2be05c9498119809424bc0714872bd3b619fa6c324e4031bc56768ae
 size 15167588