Training in progress epoch 47

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: 0.1684
-- Validation Loss: 0.4189
-- Validation Mean Iou: 0.3690
-- Validation Mean Accuracy: 0.4293
-- Validation Overall Accuracy: 0.8874
-- Validation Per Category Iou: [0.         0.84396057 0.88758961 0.81114547 0.88917721 0.45907522
-        nan 0.49766899 0.57141046 0.13114032 0.86950251 0.16812566
- 0.         0.05402798 0.         0.55671436 0.         0.
- 0.75187936 0.06411064 0.38664923 0.50159138 0.2393736         nan
- 0.03612036 0.31872514 0.30305254 0.         0.86860485 0.76230745
- 0.94340831 0.00953726 0.07691803 0.17518119 0.        ]
-- Validation Per Category Accuracy: [0.         0.91434158 0.94889397 0.87210345 0.95322397 0.59465787
-        nan 0.66608234 0.78205623 0.16111863 0.93973807 0.20378818
- 0.         0.06930693 0.         0.66147017 0.         0.
- 0.89656164 0.06706628 0.53578308 0.5492624  0.30835735        nan
- 0.04147526 0.40549508 0.35870623 0.         0.94735747 0.87335684
- 0.97257866 0.01137326 0.19582812 0.23648119 0.        ]
-- Epoch: 46
+- Train Loss: 0.1720
+- Validation Loss: 0.4344
+- Validation Mean Iou: 0.3638
+- Validation Mean Accuracy: 0.4240
+- Validation Overall Accuracy: 0.8838
+- Validation Per Category Iou: [0.         0.83634649 0.88252909 0.81745832 0.86977854 0.47517537
+        nan 0.5031844  0.59798619 0.1079865  0.85554815 0.12994482
+ 0.         0.04696466 0.         0.53919303 0.         0.
+ 0.75014771 0.0744804  0.3882156  0.59230036 0.10471204        nan
+ 0.04368721 0.31787732 0.29543235 0.         0.86536823 0.72760094
+ 0.94104705 0.03982311 0.02227327 0.18113074 0.        ]
+- Validation Per Category Accuracy: [0.         0.8989315  0.94316465 0.90119359 0.9497093  0.61772174
+        nan 0.62712399 0.73975165 0.12124493 0.94667146 0.16580722
+ 0.         0.06415017 0.         0.68711605 0.         0.
+ 0.87653714 0.07776801 0.5226676  0.71570028 0.11527378        nan
+ 0.05734444 0.42000828 0.35728182 0.         0.94526778 0.87853858
+ 0.96476425 0.06568009 0.06391322 0.27004723 0.        ]
+- Epoch: 47
 
 ## Model description
 
@@ -640,6 +640,17 @@ The following hyperparameters were used during training:
  0.89656164 0.06706628 0.53578308 0.5492624  0.30835735        nan
  0.04147526 0.40549508 0.35870623 0.         0.94735747 0.87335684
  0.97257866 0.01137326 0.19582812 0.23648119 0.        ]                                                                                                                                                        | 46    |
+| 0.1720     | 0.4344          | 0.3638              | 0.4240                   | 0.8838                      | [0.         0.83634649 0.88252909 0.81745832 0.86977854 0.47517537
+        nan 0.5031844  0.59798619 0.1079865  0.85554815 0.12994482
+ 0.         0.04696466 0.         0.53919303 0.         0.
+ 0.75014771 0.0744804  0.3882156  0.59230036 0.10471204        nan
+ 0.04368721 0.31787732 0.29543235 0.         0.86536823 0.72760094
+ 0.94104705 0.03982311 0.02227327 0.18113074 0.        ]                                                                                                                                                        | [0.         0.8989315  0.94316465 0.90119359 0.9497093  0.61772174
+        nan 0.62712399 0.73975165 0.12124493 0.94667146 0.16580722
+ 0.         0.06415017 0.         0.68711605 0.         0.
+ 0.87653714 0.07776801 0.5226676  0.71570028 0.11527378        nan
+ 0.05734444 0.42000828 0.35728182 0.         0.94526778 0.87853858
+ 0.96476425 0.06568009 0.06391322 0.27004723 0.        ]                                                                                                                                                        | 47    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9a31581605396932616f36c8387b4ab98796cdc30e36f71747d37514a46f94c
+oid sha256:9b84151ff592b654b4551b46ab0474e1319569f977468223ddaee68d98d37af4
 size 15167588