Training in progress epoch 22

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: 0.2444
-- Validation Loss: 0.4463
-- Validation Mean Iou: 0.3361
-- Validation Mean Accuracy: 0.3952
-- Validation Overall Accuracy: 0.8747
-- Validation Per Category Iou: [0.00000000e+00 8.09356188e-01 8.73758666e-01 7.03484664e-01
- 8.50663613e-01 4.40395666e-01            nan 4.70255723e-01
- 5.66815751e-01 5.21693766e-04 8.47186281e-01 1.10941303e-02
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.16683571e-01
- 0.00000000e+00 0.00000000e+00 7.12799896e-01 5.64981182e-02
- 3.71929696e-01 5.03181014e-01 0.00000000e+00            nan
- 1.16099071e-03 2.60644571e-01 2.24766447e-01 0.00000000e+00
- 8.67722068e-01 7.66105359e-01 9.35288074e-01 1.30229066e-01
- 4.53205481e-02 1.26864531e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 9.19159433e-01 9.48361579e-01 7.32578878e-01
- 9.32163864e-01 5.01168899e-01            nan 5.99960700e-01
- 7.73417917e-01 5.41271989e-04 9.21135986e-01 1.94367315e-02
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.32331903e-01
- 0.00000000e+00 0.00000000e+00 8.67884025e-01 5.84201607e-02
- 5.18153787e-01 7.57499634e-01 0.00000000e+00            nan
- 1.25282986e-03 3.28637485e-01 2.39056420e-01 0.00000000e+00
- 9.39480431e-01 8.67690868e-01 9.70610826e-01 2.31997152e-01
- 1.16729245e-01 1.65141676e-01 0.00000000e+00]
-- Epoch: 21
+- Train Loss: 0.2327
+- Validation Loss: 0.4708
+- Validation Mean Iou: 0.3333
+- Validation Mean Accuracy: 0.3991
+- Validation Overall Accuracy: 0.8674
+- Validation Per Category Iou: [0.00000000e+00 8.01482811e-01 8.67112634e-01 7.26469941e-01
+ 8.47789494e-01 4.26344060e-01            nan 4.59877772e-01
+ 5.61767489e-01 3.08784808e-02 8.50980045e-01 8.21140639e-04
+ 0.00000000e+00 5.56009812e-02 0.00000000e+00 5.19460186e-01
+ 0.00000000e+00 0.00000000e+00 6.66718429e-01 1.00749376e-01
+ 3.06011822e-01 4.73609191e-01 0.00000000e+00            nan
+ 5.21670878e-02 2.74661980e-01 2.16300138e-01 0.00000000e+00
+ 8.70513680e-01 7.58257933e-01 9.31855744e-01 4.02310154e-04
+ 5.41590367e-02 1.45066810e-01 0.00000000e+00]
+- Validation Per Category Accuracy: [0.00000000e+00 8.96213795e-01 9.66916102e-01 7.73539637e-01
+ 8.80813661e-01 4.61368313e-01            nan 6.05202376e-01
+ 7.84196522e-01 3.49120433e-02 9.33452042e-01 1.09083697e-03
+ 0.00000000e+00 5.61056106e-02 0.00000000e+00 6.42177901e-01
+ 0.00000000e+00 0.00000000e+00 7.70254403e-01 1.04428195e-01
+ 7.01999428e-01 6.97985197e-01 0.00000000e+00            nan
+ 5.98940589e-02 3.48124479e-01 2.34748471e-01 0.00000000e+00
+ 9.37775670e-01 8.78224080e-01 9.72937862e-01 4.32992071e-04
+ 2.44305382e-01 1.83551218e-01 0.00000000e+00]
+- Epoch: 22
 
 ## Model description
 
@@ -353,6 +353,23 @@ The following hyperparameters were used during training:
  1.25282986e-03 3.28637485e-01 2.39056420e-01 0.00000000e+00
  9.39480431e-01 8.67690868e-01 9.70610826e-01 2.31997152e-01
  1.16729245e-01 1.65141676e-01 0.00000000e+00] | 21    |
+| 0.2327     | 0.4708          | 0.3333              | 0.3991                   | 0.8674                      | [0.00000000e+00 8.01482811e-01 8.67112634e-01 7.26469941e-01
+ 8.47789494e-01 4.26344060e-01            nan 4.59877772e-01
+ 5.61767489e-01 3.08784808e-02 8.50980045e-01 8.21140639e-04
+ 0.00000000e+00 5.56009812e-02 0.00000000e+00 5.19460186e-01
+ 0.00000000e+00 0.00000000e+00 6.66718429e-01 1.00749376e-01
+ 3.06011822e-01 4.73609191e-01 0.00000000e+00            nan
+ 5.21670878e-02 2.74661980e-01 2.16300138e-01 0.00000000e+00
+ 8.70513680e-01 7.58257933e-01 9.31855744e-01 4.02310154e-04
+ 5.41590367e-02 1.45066810e-01 0.00000000e+00] | [0.00000000e+00 8.96213795e-01 9.66916102e-01 7.73539637e-01
+ 8.80813661e-01 4.61368313e-01            nan 6.05202376e-01
+ 7.84196522e-01 3.49120433e-02 9.33452042e-01 1.09083697e-03
+ 0.00000000e+00 5.61056106e-02 0.00000000e+00 6.42177901e-01
+ 0.00000000e+00 0.00000000e+00 7.70254403e-01 1.04428195e-01
+ 7.01999428e-01 6.97985197e-01 0.00000000e+00            nan
+ 5.98940589e-02 3.48124479e-01 2.34748471e-01 0.00000000e+00
+ 9.37775670e-01 8.78224080e-01 9.72937862e-01 4.32992071e-04
+ 2.44305382e-01 1.83551218e-01 0.00000000e+00] | 22    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:666b577ccbfb20d3dcf5fd64cb987f074e1e5b3572b7630aaf7fe0492f087cad
+oid sha256:0ade83caef35a6b0354879fa26b0d5da5e42568643ee8d76477ac4529cd300dd
 size 15167588