Training in progress epoch 27

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: 0.2332
-- 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
+- Train Loss: 0.2146
+- Validation Loss: 0.4515
+- Validation Mean Iou: 0.3472
+- Validation Mean Accuracy: 0.4129
+- Validation Overall Accuracy: 0.8760
+- Validation Per Category Iou: [0.         0.77768215 0.87939478 0.75655563 0.85872515 0.51912277
+        nan 0.47242163 0.57270343 0.04912978 0.84772409 0.04133148
+ 0.         0.28216704 0.         0.50142357 0.         0.
+ 0.72646668 0.08708308 0.41888468 0.46264328 0.                nan
+ 0.00952928 0.24906863 0.23188316 0.         0.86985544 0.75426408
+ 0.93570207 0.         0.00161353 0.15174018 0.        ]
+- Validation Per Category Accuracy: [0.         0.91082524 0.9223558  0.86526048 0.93459861 0.70221741
+        nan 0.61752143 0.76844318 0.064682   0.94790176 0.04432765
+ 0.         0.38675743 0.         0.58171337 0.         0.
+ 0.86150488 0.08919156 0.64534791 0.76292334 0.                nan
+ 0.01094578 0.29978017 0.26035297 0.         0.9390376  0.84793111
+ 0.96900737 0.         0.00383813 0.18862775 0.        ]
+- Epoch: 27
 
 ## Model description
 
@@ -408,6 +408,17 @@ The following hyperparameters were used during training:
  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    |
+| 0.2146     | 0.4515          | 0.3472              | 0.4129                   | 0.8760                      | [0.         0.77768215 0.87939478 0.75655563 0.85872515 0.51912277
+        nan 0.47242163 0.57270343 0.04912978 0.84772409 0.04133148
+ 0.         0.28216704 0.         0.50142357 0.         0.
+ 0.72646668 0.08708308 0.41888468 0.46264328 0.                nan
+ 0.00952928 0.24906863 0.23188316 0.         0.86985544 0.75426408
+ 0.93570207 0.         0.00161353 0.15174018 0.        ]                                                                                                                                                        | [0.         0.91082524 0.9223558  0.86526048 0.93459861 0.70221741
+        nan 0.61752143 0.76844318 0.064682   0.94790176 0.04432765
+ 0.         0.38675743 0.         0.58171337 0.         0.
+ 0.86150488 0.08919156 0.64534791 0.76292334 0.                nan
+ 0.01094578 0.29978017 0.26035297 0.         0.9390376  0.84793111
+ 0.96900737 0.         0.00383813 0.18862775 0.        ]                                                                                                                                                        | 27    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:197db73568e0b0916be2a60f6fbfc90d8a6ef2c2d81fdf01bc26578050285ddf
 size 15167588