Training in progress epoch 24

README.md

@@ -14,24 +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: 0.2307
-- Validation Loss: 0.4395
-- Validation Mean Iou: 0.3472
-- Validation Mean Accuracy: 0.4131
-- Validation Overall Accuracy: 0.8740
-- Validation Per Category Iou: [0.         0.78921013 0.87836164 0.7238651  0.85405051 0.48305222
-        nan 0.46174517 0.55335413 0.01711339 0.84971971 0.07427615
- 0.         0.19647651 0.         0.52684296 0.         0.
- 0.70735442 0.11184526 0.39826268 0.50387815 0.                nan
- 0.05343915 0.27936942 0.23151827 0.         0.87119512 0.76032244
- 0.93287485 0.00244547 0.02821955 0.16774339 0.        ]
-- Validation Per Category Accuracy: [0.         0.92820839 0.93256894 0.76932845 0.93401204 0.61981657
-        nan 0.61634072 0.81936678 0.01975643 0.94590099 0.1012495
- 0.         0.2415429  0.         0.6241269  0.         0.
- 0.81714715 0.1280285  0.64358053 0.67924551 0.                nan
- 0.06437787 0.34337226 0.26928155 0.         0.94337279 0.8780219
- 0.97322357 0.00300208 0.10171047 0.23578672 0.        ]
-- Epoch: 23
+- Train Loss: 0.2314
+- Validation Loss: 0.4319
+- Validation Mean Iou: 0.3499
+- Validation Mean Accuracy: 0.4182
+- Validation Overall Accuracy: 0.8767
+- Validation Per Category Iou: [0.         0.81268914 0.88090286 0.77985058 0.85570746 0.45828635
+        nan 0.47299524 0.53277529 0.04378213 0.84593985 0.03478787
+ 0.         0.1971561  0.         0.54043589 0.         0.
+ 0.7359562  0.05923714 0.36875898 0.54834606 0.                nan
+ 0.0091682  0.2642792  0.23962131 0.         0.86379601 0.6984222
+ 0.9344155  0.19722481 0.0095982  0.16301427 0.        ]
+- Validation Per Category Accuracy: [0.         0.89305484 0.93568687 0.88020793 0.94148981 0.58722529
+        nan 0.61994664 0.81367861 0.04916554 0.95151603 0.06277271
+ 0.         0.25453795 0.         0.66359505 0.         0.
+ 0.86745813 0.05975395 0.56066626 0.69054391 0.                nan
+ 0.01118755 0.32281238 0.27171345 0.         0.9460712  0.8195451
+ 0.97224534 0.37103572 0.02778473 0.2253981  0.        ]
+- Epoch: 24
 
 ## Model description
 
@@ -375,6 +375,17 @@ The following hyperparameters were used during training:
  0.81714715 0.1280285  0.64358053 0.67924551 0.                nan
  0.06437787 0.34337226 0.26928155 0.         0.94337279 0.8780219
  0.97322357 0.00300208 0.10171047 0.23578672 0.        ]                                                                                                                                                          | 23    |
+| 0.2314     | 0.4319          | 0.3499              | 0.4182                   | 0.8767                      | [0.         0.81268914 0.88090286 0.77985058 0.85570746 0.45828635
+        nan 0.47299524 0.53277529 0.04378213 0.84593985 0.03478787
+ 0.         0.1971561  0.         0.54043589 0.         0.
+ 0.7359562  0.05923714 0.36875898 0.54834606 0.                nan
+ 0.0091682  0.2642792  0.23962131 0.         0.86379601 0.6984222
+ 0.9344155  0.19722481 0.0095982  0.16301427 0.        ]                                                                                                                                                         | [0.         0.89305484 0.93568687 0.88020793 0.94148981 0.58722529
+        nan 0.61994664 0.81367861 0.04916554 0.95151603 0.06277271
+ 0.         0.25453795 0.         0.66359505 0.         0.
+ 0.86745813 0.05975395 0.56066626 0.69054391 0.                nan
+ 0.01118755 0.32281238 0.27171345 0.         0.9460712  0.8195451
+ 0.97224534 0.37103572 0.02778473 0.2253981  0.        ]                                                                                                                                                         | 24    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:49f0c4de2ee118f00795d67401cbe3cbb4a51f1a5c11f58822e6156a14295ac0
+oid sha256:13d2852299120136436a962a56b4d3090b13322e41b2cb008463706eeb34d28c
 size 15167588