Training in progress epoch 16

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: 0.1322
-- Validation Loss: 0.1201
-- Validation Mean Iou: 0.7428
-- Validation Mean Accuracy: 0.8380
-- Validation Overall Accuracy: 0.9651
-- Validation Accuracy Unlabeled: 0.6334
-- Validation Accuracy Objeto Interes: 0.8954
-- Validation Accuracy Agua: 0.9854
-- Validation Iou Unlabeled: 0.4772
-- Validation Iou Objeto Interes: 0.7791
-- Validation Iou Agua: 0.9722
-- Epoch: 15
+- Train Loss: 0.1203
+- Validation Loss: 0.1076
+- Validation Mean Iou: 0.7439
+- Validation Mean Accuracy: 0.8294
+- Validation Overall Accuracy: 0.9663
+- Validation Accuracy Unlabeled: 0.6001
+- Validation Accuracy Objeto Interes: 0.9000
+- Validation Accuracy Agua: 0.9880
+- Validation Iou Unlabeled: 0.4712
+- Validation Iou Objeto Interes: 0.7872
+- Validation Iou Agua: 0.9732
+- Epoch: 16
 
 ## Model description
 
@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
 | 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    |
 | 0.1322     | 0.1201          | 0.7428              | 0.8380                   | 0.9651                      | 0.6334                        | 0.8954                             | 0.9854                   | 0.4772                   | 0.7791                        | 0.9722              | 15    |
+| 0.1203     | 0.1076          | 0.7439              | 0.8294                   | 0.9663                      | 0.6001                        | 0.9000                             | 0.9880                   | 0.4712                   | 0.7872                        | 0.9732              | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:0da25509bf36037d08f25def643ca4c0244d64c91a1001d06e610963ceac975f
 size 54991500