Training in progress epoch 29

README.md

@@ -14,30 +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: 0.2397
-- Validation Loss: 0.6288
-- Validation Mean Iou: 0.3334
-- Validation Mean Accuracy: 0.4079
-- Validation Overall Accuracy: 0.8479
-- Validation Per Category Iou: [0.00000000e+00 7.50740857e-01 8.57005246e-01 4.57701927e-01
- 5.76918377e-01 3.94229661e-01            nan 4.28897536e-01
- 4.95486263e-01 3.27485380e-02 7.89982822e-01 0.00000000e+00
- 0.00000000e+00            nan 0.00000000e+00 5.88765921e-01
- 0.00000000e+00 0.00000000e+00 7.15417487e-01 1.49546979e-01
- 4.39630869e-01 3.01055812e-01 0.00000000e+00            nan
- 5.49400238e-04 3.73559350e-01 2.04178446e-01 0.00000000e+00
- 8.58292669e-01 8.28951019e-01 9.12162232e-01 1.81859938e-02
- 2.05116316e-01 2.88507092e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 8.47527827e-01 9.28350369e-01 5.71594292e-01
- 7.24101022e-01 6.09780363e-01            nan 5.87257170e-01
- 6.70956565e-01 3.49404424e-02 9.38259821e-01 0.00000000e+00
- 0.00000000e+00            nan 0.00000000e+00 7.22055739e-01
- 0.00000000e+00 0.00000000e+00 8.65879833e-01 1.70168204e-01
- 6.64439848e-01 3.36883325e-01 0.00000000e+00            nan
- 8.41042893e-04 4.46411062e-01 2.70110935e-01 0.00000000e+00
- 9.44186329e-01 8.99719064e-01 9.75261023e-01 2.06668189e-02
- 4.41253354e-01 3.80569609e-01 0.00000000e+00]
-- Epoch: 28
+- Train Loss: 0.2125
+- Validation Loss: 0.6250
+- Validation Mean Iou: 0.3450
+- Validation Mean Accuracy: 0.4185
+- Validation Overall Accuracy: 0.8553
+- Validation Per Category Iou: [0.         0.73159108 0.87022278 0.50404326 0.56244352 0.40464125
+        nan 0.44390964 0.51159512 0.08295183 0.82408288 0.00963956
+ 0.                nan 0.         0.58468684 0.         0.
+ 0.72766618 0.16108687 0.45500422 0.39801195 0.                nan
+ 0.00398936 0.36392878 0.22126126 0.         0.85869236 0.83625848
+ 0.92115538 0.01722217 0.19725361 0.34751551 0.        ]
+- Validation Per Category Accuracy: [0.         0.80775127 0.95452298 0.58530378 0.72480765 0.5534954
+        nan 0.62963966 0.69282444 0.09455474 0.90410403 0.01443477
+ 0.                nan 0.         0.7591774  0.         0.
+ 0.87413938 0.18163073 0.60664188 0.48331242 0.                nan
+ 0.00967199 0.44324801 0.27245642 0.         0.9477478  0.91124713
+ 0.96830088 0.02370078 0.47974135 0.46998842 0.        ]
+- Epoch: 29
 
 ## Model description
 
@@ -430,6 +424,17 @@ The following hyperparameters were used during training:
  8.41042893e-04 4.46411062e-01 2.70110935e-01 0.00000000e+00
  9.44186329e-01 8.99719064e-01 9.75261023e-01 2.06668189e-02
  4.41253354e-01 3.80569609e-01 0.00000000e+00] | 28    |
+| 0.2125     | 0.6250          | 0.3450              | 0.4185                   | 0.8553                      | [0.         0.73159108 0.87022278 0.50404326 0.56244352 0.40464125
+        nan 0.44390964 0.51159512 0.08295183 0.82408288 0.00963956
+ 0.                nan 0.         0.58468684 0.         0.
+ 0.72766618 0.16108687 0.45500422 0.39801195 0.                nan
+ 0.00398936 0.36392878 0.22126126 0.         0.85869236 0.83625848
+ 0.92115538 0.01722217 0.19725361 0.34751551 0.        ]                                                                                                                                                        | [0.         0.80775127 0.95452298 0.58530378 0.72480765 0.5534954
+        nan 0.62963966 0.69282444 0.09455474 0.90410403 0.01443477
+ 0.                nan 0.         0.7591774  0.         0.
+ 0.87413938 0.18163073 0.60664188 0.48331242 0.                nan
+ 0.00967199 0.44324801 0.27245642 0.         0.9477478  0.91124713
+ 0.96830088 0.02370078 0.47974135 0.46998842 0.        ]                                                                                                                                                         | 29    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:14f6a275fc34bf53a5fb392a830a1469ffafb1f03513a46f8e3666873c4877e0
+oid sha256:3d3154754c958b11d4b20426148c56e08d725ae6800c7887e6357d1bb64bd73d
 size 15167588