Training in progress epoch 37

README.md

@@ -15,13 +15,13 @@ 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: 0.0187
-- Train Dice Coef: 0.7758
-- Train Iou: 0.6463
+- Train Dice Coef: 0.7774
+- Train Iou: 0.6497
 - Validation Loss: 0.0232
-- Validation Dice Coef: 0.8501
-- Validation Iou: 0.7433
+- Validation Dice Coef: 0.8496
+- Validation Iou: 0.7423
 - Train Lr: 1.25e-08
-- Epoch: 36
+- Epoch: 37
 
 ## Model description
 
@@ -84,6 +84,7 @@ The following hyperparameters were used during training:
 | 0.0186     | 0.7767          | 0.6484    | 0.0237          | 0.8491               | 0.7414         | 1.25e-08 | 34    |
 | 0.0186     | 0.7800          | 0.6517    | 0.0229          | 0.8503               | 0.7436         | 1.25e-08 | 35    |
 | 0.0187     | 0.7758          | 0.6463    | 0.0232          | 0.8501               | 0.7433         | 1.25e-08 | 36    |
+| 0.0187     | 0.7774          | 0.6497    | 0.0232          | 0.8496               | 0.7423         | 1.25e-08 | 37    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee0fa268a285dacf6670c46baa1082cc817e2ad894a4eea147df6d3abda7308b
+oid sha256:5bc2c001d47d02faad1b903ef22c511d6411fbdafcbe9e14f947dbe390498393
 size 15133664