Training in progress epoch 34

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: 0.2026
-- Validation Loss: 0.4072
-- Validation Mean Iou: 0.3583
-- Validation Mean Accuracy: 0.4178
-- Validation Overall Accuracy: 0.8851
-- Validation Per Category Iou: [0.         0.82427491 0.88959049 0.80744875 0.87290087 0.48819667
-        nan 0.49479206 0.5689031  0.01115143 0.86655557 0.12424298
- 0.         0.08815858 0.         0.54211487 0.         0.
- 0.73966336 0.07793422 0.39875788 0.55704844 0.                nan
- 0.12136758 0.29085268 0.26794571 0.         0.86907912 0.7468531
- 0.94141202 0.04189236 0.01138124 0.18175892 0.        ]
-- Validation Per Category Accuracy: [0.         0.90820792 0.94843014 0.86590797 0.935603   0.6234152
-        nan 0.65185001 0.7529887  0.01136671 0.9412309  0.13427211
- 0.         0.10457921 0.         0.6997812  0.         0.
- 0.87681775 0.08373086 0.56962713 0.71690686 0.                nan
- 0.15183419 0.36895259 0.31343802 0.         0.93965024 0.8725032
- 0.97198241 0.05008275 0.04046725 0.25251491 0.        ]
-- Epoch: 33
+- Train Loss: 0.1890
+- Validation Loss: 0.4580
+- Validation Mean Iou: 0.3568
+- Validation Mean Accuracy: 0.4229
+- Validation Overall Accuracy: 0.8760
+- Validation Per Category Iou: [0.         0.81909166 0.87945582 0.84022719 0.85181051 0.44449375
+        nan 0.46587584 0.56531144 0.05849796 0.85834655 0.13038109
+ 0.         0.23667513 0.         0.53010343 0.         0.
+ 0.70286385 0.08324543 0.31813212 0.48792893 0.                nan
+ 0.08722779 0.30648587 0.25211314 0.         0.870058   0.73406627
+ 0.93603361 0.09757433 0.04511995 0.17383064 0.        ]
+- Validation Per Category Accuracy: [0.         0.89810904 0.95241393 0.90661944 0.91497772 0.51961956
+        nan 0.65114676 0.83394393 0.06865133 0.95007864 0.14656882
+ 0.         0.30775578 0.         0.61461752 0.         0.
+ 0.81590436 0.09039982 0.61695222 0.59357779 0.                nan
+ 0.09587445 0.39630552 0.2932532  0.         0.94689981 0.84862376
+ 0.97537462 0.14406127 0.14217772 0.23057617 0.        ]
+- Epoch: 34
 
 ## Model description
 
@@ -491,6 +491,17 @@ The following hyperparameters were used during training:
  0.87681775 0.08373086 0.56962713 0.71690686 0.                nan
  0.15183419 0.36895259 0.31343802 0.         0.93965024 0.8725032
  0.97198241 0.05008275 0.04046725 0.25251491 0.        ]                                                                                                                                                          | 33    |
+| 0.1890     | 0.4580          | 0.3568              | 0.4229                   | 0.8760                      | [0.         0.81909166 0.87945582 0.84022719 0.85181051 0.44449375
+        nan 0.46587584 0.56531144 0.05849796 0.85834655 0.13038109
+ 0.         0.23667513 0.         0.53010343 0.         0.
+ 0.70286385 0.08324543 0.31813212 0.48792893 0.                nan
+ 0.08722779 0.30648587 0.25211314 0.         0.870058   0.73406627
+ 0.93603361 0.09757433 0.04511995 0.17383064 0.        ]                                                                                                                                                        | [0.         0.89810904 0.95241393 0.90661944 0.91497772 0.51961956
+        nan 0.65114676 0.83394393 0.06865133 0.95007864 0.14656882
+ 0.         0.30775578 0.         0.61461752 0.         0.
+ 0.81590436 0.09039982 0.61695222 0.59357779 0.                nan
+ 0.09587445 0.39630552 0.2932532  0.         0.94689981 0.84862376
+ 0.97537462 0.14406127 0.14217772 0.23057617 0.        ]                                                                                                                                                        | 34    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fdf9c50383f00fb009d93e3df6c751ffc62ce7d0ba762949ced90734717dfffc
 size 15167588