Training in progress epoch 14

README.md

@@ -15,18 +15,18 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1299
-- Validation Loss: 0.1230
-- Validation Mean Iou: 0.7198
-- Validation Mean Accuracy: 0.8184
-- Validation Overall Accuracy: 0.9628
-- Validation Accuracy Unlabeled: 0.5475
-- Validation Accuracy Objeto Interes: 0.9225
-- Validation Accuracy Agua: 0.9851
-- Validation Iou Unlabeled: 0.4286
-- Validation Iou Objeto Interes: 0.7595
-- Validation Iou Agua: 0.9714
-- Epoch: 13
+- Train Loss: 0.1286
+- Validation Loss: 0.1279
+- Validation Mean Iou: 0.7267
+- Validation Mean Accuracy: 0.8320
+- Validation Overall Accuracy: 0.9630
+- Validation Accuracy Unlabeled: 0.5856
+- Validation Accuracy Objeto Interes: 0.9270
+- Validation Accuracy Agua: 0.9833
+- Validation Iou Unlabeled: 0.4473
+- Validation Iou Objeto Interes: 0.7614
+- Validation Iou Agua: 0.9715
+- Epoch: 14
 
 ## Model description
 
@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
 | 0.1608     | 0.1613          | 0.7046              | 0.8348                   | 0.9564                      | 0.6010                        | 0.9285                             | 0.9750                   | 0.4156                   | 0.7325                        | 0.9655              | 11    |
 | 0.1425     | 0.1387          | 0.7268              | 0.8355                   | 0.9618                      | 0.6140                        | 0.9109                             | 0.9816                   | 0.4499                   | 0.7605                        | 0.9698              | 12    |
 | 0.1299     | 0.1230          | 0.7198              | 0.8184                   | 0.9628                      | 0.5475                        | 0.9225                             | 0.9851                   | 0.4286                   | 0.7595                        | 0.9714              | 13    |
+| 0.1286     | 0.1279          | 0.7267              | 0.8320                   | 0.9630                      | 0.5856                        | 0.9270                             | 0.9833                   | 0.4473                   | 0.7614                        | 0.9715              | 14    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6be01764db681450ee82568ccd5a291af1043aca5b539388ab94fbff9c489497
+oid sha256:68d3186e53d4af51788d0723f2bba7f567b0f04cbc9b1b7f6db13f70561be167
 size 54991500