Training in progress epoch 37

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: 0.1798
-- Validation Loss: 0.6439
-- Validation Mean Iou: 0.3460
-- Validation Mean Accuracy: 0.4195
-- Validation Overall Accuracy: 0.8508
-- Validation Per Category Iou: [0.         0.73276012 0.8703165  0.51981554 0.53793981 0.33233419
-        nan 0.45652634 0.52909238 0.15852233 0.81964961 0.03700225
- 0.                nan 0.         0.57771173 0.         0.
- 0.73584172 0.15695205 0.4595907  0.37447524 0.02385496        nan
- 0.         0.36048183 0.26601379 0.         0.86087389 0.82180707
- 0.92369107 0.00845113 0.20893951 0.29856993 0.        ]
-- Validation Per Category Accuracy: [0.         0.82418646 0.94532887 0.64936378 0.67010705 0.47232691
-        nan 0.61045369 0.68649566 0.19228588 0.92529247 0.04636385
- 0.                nan 0.         0.7693662  0.         0.
- 0.85725086 0.16617418 0.66391847 0.46183028 0.02387775        nan
- 0.         0.41703531 0.33749604 0.         0.95559462 0.91895767
- 0.97172331 0.02834959 0.45050561 0.3798439  0.        ]
-- Epoch: 36
+- Train Loss: 0.1910
+- Validation Loss: 0.6861
+- Validation Mean Iou: 0.3373
+- Validation Mean Accuracy: 0.4223
+- Validation Overall Accuracy: 0.8540
+- Validation Per Category Iou: [0.         0.72845316 0.8706506  0.49601163 0.57976993 0.35860798
+        nan 0.4529812  0.52753083 0.14277308 0.8326801  0.01872577
+ 0.         0.         0.04983477 0.56359697 0.         0.
+ 0.72011327 0.1407459  0.48820143 0.37419962 0.                nan
+ 0.         0.3859852  0.27267495 0.         0.86971039 0.82754932
+ 0.92051632 0.02074915 0.22252298 0.26709874 0.        ]
+- Validation Per Category Accuracy: [0.         0.80674712 0.95161564 0.60428497 0.73125603 0.51752095
+        nan 0.59417511 0.7610621  0.19268293 0.94001892 0.02690829
+ 0.                nan 0.05054975 0.67238538 0.         0.
+ 0.88221105 0.16390116 0.69192941 0.42158038 0.                nan
+ 0.         0.48403335 0.36038035 0.         0.94890589 0.90539437
+ 0.96853562 0.03844648 0.46371328 0.33603354 0.        ]
+- Epoch: 37
 
 ## Model description
 
@@ -530,6 +530,17 @@ The following hyperparameters were used during training:
  0.85725086 0.16617418 0.66391847 0.46183028 0.02387775        nan
  0.         0.41703531 0.33749604 0.         0.95559462 0.91895767
  0.97172331 0.02834959 0.45050561 0.3798439  0.        ]                                                                                                                                                        | 36    |
+| 0.1910     | 0.6861          | 0.3373              | 0.4223                   | 0.8540                      | [0.         0.72845316 0.8706506  0.49601163 0.57976993 0.35860798
+        nan 0.4529812  0.52753083 0.14277308 0.8326801  0.01872577
+ 0.         0.         0.04983477 0.56359697 0.         0.
+ 0.72011327 0.1407459  0.48820143 0.37419962 0.                nan
+ 0.         0.3859852  0.27267495 0.         0.86971039 0.82754932
+ 0.92051632 0.02074915 0.22252298 0.26709874 0.        ]                                                                                                                                                        | [0.         0.80674712 0.95161564 0.60428497 0.73125603 0.51752095
+        nan 0.59417511 0.7610621  0.19268293 0.94001892 0.02690829
+ 0.                nan 0.05054975 0.67238538 0.         0.
+ 0.88221105 0.16390116 0.69192941 0.42158038 0.                nan
+ 0.         0.48403335 0.36038035 0.         0.94890589 0.90539437
+ 0.96853562 0.03844648 0.46371328 0.33603354 0.        ]                                                                                                                                                        | 37    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:46cc3ce54f1f1e696c3840de99442fcdde9d0170fa9135e702822bd5244b2585
 size 15167588