Training in progress epoch 26

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: 0.2280
-- Validation Loss: 0.4165
-- Validation Mean Iou: 0.3413
-- Validation Mean Accuracy: 0.4040
-- Validation Overall Accuracy: 0.8751
-- Validation Per Category Iou: [0.         0.80627187 0.88428648 0.68558419 0.86189479 0.47772167
-        nan 0.46152926 0.58013249 0.03674413 0.85526933 0.00621328
- 0.         0.00391914 0.         0.51552043 0.         0.
- 0.7219038  0.11633219 0.37078391 0.48759114 0.                nan
- 0.04097689 0.25837403 0.23783935 0.         0.86459819 0.69037029
- 0.93378787 0.16489662 0.01161391 0.18831714 0.        ]
-- Validation Per Category Accuracy: [0.         0.90036072 0.93838536 0.72247672 0.95316477 0.6161249
-        nan 0.61164372 0.77422776 0.05448805 0.94020362 0.00912336
- 0.         0.00391914 0.         0.64499705 0.         0.
- 0.8629953  0.12306992 0.55344734 0.64075339 0.                nan
- 0.04945381 0.31623508 0.26601584 0.         0.93210162 0.89534679
- 0.97086444 0.24202332 0.02736754 0.28242179 0.        ]
-- Epoch: 25
+- Train Loss: 0.2332
+- Validation Loss: 0.4404
+- Validation Mean Iou: 0.3516
+- Validation Mean Accuracy: 0.4245
+- Validation Overall Accuracy: 0.8748
+- Validation Per Category Iou: [0.         0.79554848 0.87301633 0.83834717 0.85459995 0.51844513
+        nan 0.47147093 0.51906075 0.07904743 0.85844229 0.11856842
+ 0.         0.20806579 0.         0.49652457 0.         0.
+ 0.71537872 0.12687546 0.36603458 0.48369829 0.                nan
+ 0.01636133 0.26809207 0.24211655 0.         0.86537401 0.74525303
+ 0.93088227 0.00370986 0.03710524 0.17143043 0.        ]
+- Validation Per Category Accuracy: [0.         0.90971751 0.92232534 0.87320268 0.9481476  0.68155153
+        nan 0.66184212 0.82753268 0.10690122 0.9341899  0.13962713
+ 0.         0.38098185 0.         0.59963814 0.         0.
+ 0.82473535 0.13202988 0.64751899 0.62376621 0.                nan
+ 0.01872651 0.32878909 0.28248332 0.         0.9485047  0.86660759
+ 0.97579904 0.00397391 0.12273675 0.24574891 0.        ]
+- Epoch: 26
 
 ## Model description
 
@@ -397,6 +397,17 @@ The following hyperparameters were used during training:
  0.8629953  0.12306992 0.55344734 0.64075339 0.                nan
  0.04945381 0.31623508 0.26601584 0.         0.93210162 0.89534679
  0.97086444 0.24202332 0.02736754 0.28242179 0.        ]                                                                                                                                                         | 25    |
+| 0.2332     | 0.4404          | 0.3516              | 0.4245                   | 0.8748                      | [0.         0.79554848 0.87301633 0.83834717 0.85459995 0.51844513
+        nan 0.47147093 0.51906075 0.07904743 0.85844229 0.11856842
+ 0.         0.20806579 0.         0.49652457 0.         0.
+ 0.71537872 0.12687546 0.36603458 0.48369829 0.                nan
+ 0.01636133 0.26809207 0.24211655 0.         0.86537401 0.74525303
+ 0.93088227 0.00370986 0.03710524 0.17143043 0.        ]                                                                                                                                                        | [0.         0.90971751 0.92232534 0.87320268 0.9481476  0.68155153
+        nan 0.66184212 0.82753268 0.10690122 0.9341899  0.13962713
+ 0.         0.38098185 0.         0.59963814 0.         0.
+ 0.82473535 0.13202988 0.64751899 0.62376621 0.                nan
+ 0.01872651 0.32878909 0.28248332 0.         0.9485047  0.86660759
+ 0.97579904 0.00397391 0.12273675 0.24574891 0.        ]                                                                                                                                                        | 26    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ed0e98db851bc68676547209475064cac1302330fec779a5aa90b210660ca22d
 size 15167588