Training in progress epoch 44

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: 0.1649
-- Validation Loss: 0.4242
-- Validation Mean Iou: 0.3717
-- Validation Mean Accuracy: 0.4383
-- Validation Overall Accuracy: 0.8829
-- Validation Per Category Iou: [0.         0.8245252  0.88278    0.781006   0.85842353 0.51259623
-        nan 0.51245584 0.58046843 0.1180867  0.86495296 0.18057803
- 0.         0.19290237 0.         0.57019005 0.         0.
- 0.73953555 0.08630286 0.40811401 0.47419294 0.14364641        nan
- 0.03056729 0.30467132 0.2893461  0.         0.86773127 0.73354145
- 0.94299225 0.12116164 0.05836818 0.18823529 0.        ]
-- Validation Per Category Accuracy: [0.         0.89896041 0.94310935 0.79709015 0.94969977 0.67147032
-        nan 0.65138807 0.79877367 0.14253496 0.94740116 0.23234827
- 0.         0.27021452 0.         0.66277455 0.         0.
- 0.86192885 0.09854381 0.60905623 0.64588831 0.14985591        nan
- 0.03674968 0.38943084 0.3317468  0.         0.93877576 0.88623506
- 0.97329085 0.17635286 0.14092616 0.25900882 0.        ]
-- Epoch: 43
+- Train Loss: 0.1721
+- Validation Loss: 0.4380
+- Validation Mean Iou: 0.3659
+- Validation Mean Accuracy: 0.4303
+- Validation Overall Accuracy: 0.8830
+- Validation Per Category Iou: [0.         0.79204009 0.88761045 0.81838271 0.87599756 0.55268285
+        nan 0.51243018 0.57342413 0.1328     0.86370891 0.12697056
+ 0.         0.01482085 0.         0.54979459 0.         0.
+ 0.7440432  0.07280754 0.43229119 0.48547786 0.1754386         nan
+ 0.04705945 0.29268443 0.28866261 0.         0.86370303 0.73106053
+ 0.94208474 0.03836815 0.07654387 0.18451303 0.        ]
+- Validation Per Category Accuracy: [0.         0.91791605 0.9276758  0.9021757  0.9262825  0.70668615
+        nan 0.6749058  0.79231422 0.1871899  0.94815532 0.13258628
+ 0.         0.01877063 0.         0.65320205 0.         0.
+ 0.86297038 0.08255398 0.62974983 0.64313491 0.20172911        nan
+ 0.05861925 0.36101085 0.32994024 0.         0.9582507  0.8229035
+ 0.97011706 0.05883881 0.16712557 0.26603474 0.        ]
+- Epoch: 44
 
 ## Model description
 
@@ -607,6 +607,17 @@ The following hyperparameters were used during training:
  0.86192885 0.09854381 0.60905623 0.64588831 0.14985591        nan
  0.03674968 0.38943084 0.3317468  0.         0.93877576 0.88623506
  0.97329085 0.17635286 0.14092616 0.25900882 0.        ]                                                                                                                                                        | 43    |
+| 0.1721     | 0.4380          | 0.3659              | 0.4303                   | 0.8830                      | [0.         0.79204009 0.88761045 0.81838271 0.87599756 0.55268285
+        nan 0.51243018 0.57342413 0.1328     0.86370891 0.12697056
+ 0.         0.01482085 0.         0.54979459 0.         0.
+ 0.7440432  0.07280754 0.43229119 0.48547786 0.1754386         nan
+ 0.04705945 0.29268443 0.28866261 0.         0.86370303 0.73106053
+ 0.94208474 0.03836815 0.07654387 0.18451303 0.        ]                                                                                                                                                        | [0.         0.91791605 0.9276758  0.9021757  0.9262825  0.70668615
+        nan 0.6749058  0.79231422 0.1871899  0.94815532 0.13258628
+ 0.         0.01877063 0.         0.65320205 0.         0.
+ 0.86297038 0.08255398 0.62974983 0.64313491 0.20172911        nan
+ 0.05861925 0.36101085 0.32994024 0.         0.9582507  0.8229035
+ 0.97011706 0.05883881 0.16712557 0.26603474 0.        ]                                                                                                                                                         | 44    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d3ca32d742ae212d47aae37ec54615a34b691364d57e32f1ccb0b4b2b27c191
+oid sha256:33966b9e03e8038d4b9f3001ad31554d2721f74c38a840a21f5a8510d9183bbc
 size 15167588