Training in progress epoch 22

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: 0.1045
-- Validation Loss: 0.1099
-- Validation Mean Iou: 0.7513
-- Validation Mean Accuracy: 0.8565
-- Validation Overall Accuracy: 0.9664
-- Validation Accuracy Unlabeled: 0.6570
-- Validation Accuracy Objeto Interes: 0.9288
-- Validation Accuracy Agua: 0.9835
-- Validation Iou Unlabeled: 0.4959
-- Validation Iou Objeto Interes: 0.7841
-- Validation Iou Agua: 0.9739
-- Epoch: 21
+- Train Loss: 0.1031
+- Validation Loss: 0.1045
+- Validation Mean Iou: 0.7511
+- Validation Mean Accuracy: 0.8522
+- Validation Overall Accuracy: 0.9668
+- Validation Accuracy Unlabeled: 0.6398
+- Validation Accuracy Objeto Interes: 0.9323
+- Validation Accuracy Agua: 0.9846
+- Validation Iou Unlabeled: 0.4911
+- Validation Iou Objeto Interes: 0.7878
+- Validation Iou Agua: 0.9743
+- Epoch: 22
 
 ## Model description
 
@@ -74,6 +74,7 @@ The following hyperparameters were used during training:
 | 0.1131     | 0.0994          | 0.7500              | 0.8368                   | 0.9676                      | 0.6077                        | 0.9145                             | 0.9881                   | 0.4834                   | 0.7919                        | 0.9748              | 19    |
 | 0.1101     | 0.1157          | 0.7590              | 0.8657                   | 0.9664                      | 0.7130                        | 0.9015                             | 0.9827                   | 0.5107                   | 0.7928                        | 0.9733              | 20    |
 | 0.1045     | 0.1099          | 0.7513              | 0.8565                   | 0.9664                      | 0.6570                        | 0.9288                             | 0.9835                   | 0.4959                   | 0.7841                        | 0.9739              | 21    |
+| 0.1031     | 0.1045          | 0.7511              | 0.8522                   | 0.9668                      | 0.6398                        | 0.9323                             | 0.9846                   | 0.4911                   | 0.7878                        | 0.9743              | 22    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5217e2f2f8b34d4ad8f8dacd6bc3623dc6d4f51175f0a85a0b778e2be8e6e4ec
+oid sha256:5e9c93271146a585085847fbae03ae5770c0f9b9c69d076a4860ba2131c083ab
 size 54991500