Training in progress epoch 31

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: 0.2067
-- Validation Loss: 0.4302
-- Validation Mean Iou: 0.3582
-- Validation Mean Accuracy: 0.4204
-- Validation Overall Accuracy: 0.8782
-- Validation Per Category Iou: [0.         0.80612851 0.87374492 0.77399105 0.80074838 0.5069675
-        nan 0.46617634 0.55019827 0.13081984 0.85635853 0.13375531
- 0.         0.27468398 0.         0.54140892 0.         0.
- 0.7462191  0.05761157 0.39168026 0.5446341  0.                nan
- 0.01506284 0.29841736 0.22899218 0.         0.87061226 0.74041425
- 0.93770948 0.13239158 0.00821369 0.13209342 0.        ]
-- Validation Per Category Accuracy: [0.         0.90557948 0.95169451 0.78927679 0.84910476 0.62275304
-        nan 0.60393893 0.82533454 0.18655841 0.94690627 0.1592622
- 0.         0.33168317 0.         0.68313978 0.         0.
- 0.88132122 0.06502636 0.62727359 0.66106362 0.                nan
- 0.01804515 0.38855037 0.25931073 0.         0.94157236 0.8393111
- 0.97364591 0.18567662 0.01985816 0.15624759 0.        ]
-- Epoch: 30
+- Train Loss: 0.1993
+- Validation Loss: 0.4191
+- Validation Mean Iou: 0.3525
+- Validation Mean Accuracy: 0.4026
+- Validation Overall Accuracy: 0.8855
+- Validation Per Category Iou: [0.00000000e+00 8.12143438e-01 8.82519501e-01 8.32421151e-01
+ 8.74313051e-01 4.81253823e-01            nan 4.87073361e-01
+ 5.86132068e-01 9.62771937e-02 8.59982957e-01 8.85474149e-02
+ 0.00000000e+00 2.01491034e-04 0.00000000e+00 5.35389616e-01
+ 0.00000000e+00 0.00000000e+00 7.53505814e-01 3.69389833e-02
+ 3.98315791e-01 5.86352445e-01 0.00000000e+00            nan
+ 3.86967641e-02 2.99523304e-01 2.23544639e-01 0.00000000e+00
+ 8.66545952e-01 7.59345221e-01 9.36605085e-01 5.82816319e-04
+ 7.04036476e-04 1.95231882e-01 0.00000000e+00]
+- Validation Per Category Accuracy: [0.00000000e+00 9.18027876e-01 9.52593301e-01 8.60861913e-01
+ 9.17933036e-01 5.59645609e-01            nan 6.69381444e-01
+ 7.81217462e-01 1.31348669e-01 9.42924301e-01 1.03431178e-01
+ 0.00000000e+00 2.06270627e-04 0.00000000e+00 6.30669865e-01
+ 0.00000000e+00 0.00000000e+00 8.97879175e-01 3.70010043e-02
+ 4.89103277e-01 6.59469339e-01 0.00000000e+00            nan
+ 4.58931358e-02 3.79932245e-01 2.46004725e-01 0.00000000e+00
+ 9.44760882e-01 8.53162772e-01 9.75178979e-01 5.96566854e-04
+ 1.75219024e-03 2.87445529e-01 0.00000000e+00]
+- Epoch: 31
 
 ## Model description
 
@@ -452,6 +458,23 @@ The following hyperparameters were used during training:
  0.88132122 0.06502636 0.62727359 0.66106362 0.                nan
  0.01804515 0.38855037 0.25931073 0.         0.94157236 0.8393111
  0.97364591 0.18567662 0.01985816 0.15624759 0.        ]                                                                                                                                                          | 30    |
+| 0.1993     | 0.4191          | 0.3525              | 0.4026                   | 0.8855                      | [0.00000000e+00 8.12143438e-01 8.82519501e-01 8.32421151e-01
+ 8.74313051e-01 4.81253823e-01            nan 4.87073361e-01
+ 5.86132068e-01 9.62771937e-02 8.59982957e-01 8.85474149e-02
+ 0.00000000e+00 2.01491034e-04 0.00000000e+00 5.35389616e-01
+ 0.00000000e+00 0.00000000e+00 7.53505814e-01 3.69389833e-02
+ 3.98315791e-01 5.86352445e-01 0.00000000e+00            nan
+ 3.86967641e-02 2.99523304e-01 2.23544639e-01 0.00000000e+00
+ 8.66545952e-01 7.59345221e-01 9.36605085e-01 5.82816319e-04
+ 7.04036476e-04 1.95231882e-01 0.00000000e+00] | [0.00000000e+00 9.18027876e-01 9.52593301e-01 8.60861913e-01
+ 9.17933036e-01 5.59645609e-01            nan 6.69381444e-01
+ 7.81217462e-01 1.31348669e-01 9.42924301e-01 1.03431178e-01
+ 0.00000000e+00 2.06270627e-04 0.00000000e+00 6.30669865e-01
+ 0.00000000e+00 0.00000000e+00 8.97879175e-01 3.70010043e-02
+ 4.89103277e-01 6.59469339e-01 0.00000000e+00            nan
+ 4.58931358e-02 3.79932245e-01 2.46004725e-01 0.00000000e+00
+ 9.44760882e-01 8.53162772e-01 9.75178979e-01 5.96566854e-04
+ 1.75219024e-03 2.87445529e-01 0.00000000e+00] | 31    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4fd415857999ae5c5a4c45f457166fa85509c7e66f00f7296fb89873586b6086
 size 15167588