Training in progress epoch 7

README.md

@@ -14,30 +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: 0.4761
-- Validation Loss: 0.4922
-- Validation Mean Iou: 0.3036
-- Validation Mean Accuracy: 0.3754
-- Validation Overall Accuracy: 0.8517
-- Validation Per Category Iou: [0.00000000e+00 7.18490241e-01 8.54701589e-01 5.90903088e-01
- 8.21902743e-01 4.76229883e-01            nan 3.32447673e-01
- 4.80642540e-01 0.00000000e+00 8.02904449e-01 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.73285636e-01
- 0.00000000e+00 0.00000000e+00 7.16608930e-01 0.00000000e+00
- 3.16598081e-01 5.12540924e-01 0.00000000e+00            nan
- 0.00000000e+00 2.27702968e-01 0.00000000e+00 0.00000000e+00
- 8.51831675e-01 7.39827330e-01 9.07152231e-01 5.59070700e-04
- 3.70370370e-02 1.56538301e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 9.20834531e-01 8.92075255e-01 7.48664032e-01
- 9.03709011e-01 7.40703529e-01            nan 4.40828188e-01
- 7.92719139e-01 0.00000000e+00 9.21593374e-01 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.90292855e-01
- 0.00000000e+00 0.00000000e+00 8.42229041e-01 0.00000000e+00
- 4.75170857e-01 6.72591473e-01 0.00000000e+00            nan
- 0.00000000e+00 2.94713089e-01 0.00000000e+00 0.00000000e+00
- 9.26034809e-01 8.39522012e-01 9.66679296e-01 6.06188900e-04
- 1.12807676e-01 2.07280968e-01 0.00000000e+00]
-- Epoch: 6
+- Train Loss: 0.4495
+- Validation Loss: 0.4797
+- Validation Mean Iou: 0.3035
+- Validation Mean Accuracy: 0.3702
+- Validation Overall Accuracy: 0.8468
+- Validation Per Category Iou: [0.00000000e+00 7.52163526e-01 8.46563375e-01 7.16396797e-01
+ 7.38850637e-01 3.93073019e-01            nan 3.31795957e-01
+ 4.92991567e-01 0.00000000e+00 8.11302090e-01 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.16059849e-01
+ 0.00000000e+00 0.00000000e+00 6.56058294e-01 1.25948501e-02
+ 2.66942435e-01 5.34406894e-01 0.00000000e+00            nan
+ 0.00000000e+00 2.27750085e-01 4.86381323e-04 0.00000000e+00
+ 8.48618960e-01 7.25828093e-01 9.17747637e-01 8.28380212e-03
+ 6.74590297e-02 1.51281596e-01 0.00000000e+00]
+- Validation Per Category Accuracy: [0.00000000e+00 8.75360044e-01 9.43650850e-01 8.78658645e-01
+ 7.76578096e-01 4.85757596e-01            nan 4.30901582e-01
+ 7.54126335e-01 0.00000000e+00 9.30112537e-01 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.42914247e-01
+ 0.00000000e+00 0.00000000e+00 7.57605356e-01 1.27102686e-02
+ 6.50888458e-01 6.94757080e-01 0.00000000e+00            nan
+ 0.00000000e+00 2.91727649e-01 4.86381323e-04 0.00000000e+00
+ 9.42251577e-01 8.60753175e-01 9.56778008e-01 8.51551074e-03
+ 1.38756779e-01 1.83583708e-01 0.00000000e+00]
+- Epoch: 7
 
 ## Model description
 
@@ -152,6 +152,23 @@ The following hyperparameters were used during training:
  0.00000000e+00 2.94713089e-01 0.00000000e+00 0.00000000e+00
  9.26034809e-01 8.39522012e-01 9.66679296e-01 6.06188900e-04
  1.12807676e-01 2.07280968e-01 0.00000000e+00] | 6     |
+| 0.4495     | 0.4797          | 0.3035              | 0.3702                   | 0.8468                      | [0.00000000e+00 7.52163526e-01 8.46563375e-01 7.16396797e-01
+ 7.38850637e-01 3.93073019e-01            nan 3.31795957e-01
+ 4.92991567e-01 0.00000000e+00 8.11302090e-01 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.16059849e-01
+ 0.00000000e+00 0.00000000e+00 6.56058294e-01 1.25948501e-02
+ 2.66942435e-01 5.34406894e-01 0.00000000e+00            nan
+ 0.00000000e+00 2.27750085e-01 4.86381323e-04 0.00000000e+00
+ 8.48618960e-01 7.25828093e-01 9.17747637e-01 8.28380212e-03
+ 6.74590297e-02 1.51281596e-01 0.00000000e+00] | [0.00000000e+00 8.75360044e-01 9.43650850e-01 8.78658645e-01
+ 7.76578096e-01 4.85757596e-01            nan 4.30901582e-01
+ 7.54126335e-01 0.00000000e+00 9.30112537e-01 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.42914247e-01
+ 0.00000000e+00 0.00000000e+00 7.57605356e-01 1.27102686e-02
+ 6.50888458e-01 6.94757080e-01 0.00000000e+00            nan
+ 0.00000000e+00 2.91727649e-01 4.86381323e-04 0.00000000e+00
+ 9.42251577e-01 8.60753175e-01 9.56778008e-01 8.51551074e-03
+ 1.38756779e-01 1.83583708e-01 0.00000000e+00] | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a7611a8ad9a4c734af44fbf7c9b169a72fea76066d2bd008d40ef7098c10a1fc
+oid sha256:94b84b3db99e12356df44a67a3034eecaa80a42d80f80e90a1d76c90dbcb34fc
 size 15167588