Training in progress epoch 38

README.md

@@ -14,14 +14,14 @@ 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: 0.0167
-- Train Dice Coef: 0.8025
-- Train Iou: 0.6786
-- Validation Loss: 0.0226
-- Validation Dice Coef: 0.8561
-- Validation Iou: 0.7507
+- Train Loss: 0.0163
+- Train Dice Coef: 0.8027
+- Train Iou: 0.6791
+- Validation Loss: 0.0231
+- Validation Dice Coef: 0.8560
+- Validation Iou: 0.7505
 - Train Lr: 5e-06
-- Epoch: 37
+- Epoch: 38
 
 ## Model description
 
@@ -85,6 +85,7 @@ The following hyperparameters were used during training:
 | 0.0168     | 0.8006          | 0.6759    | 0.0232          | 0.8561               | 0.7507         | 5e-06    | 35    |
 | 0.0167     | 0.7984          | 0.6739    | 0.0232          | 0.8543               | 0.7480         | 5e-06    | 36    |
 | 0.0167     | 0.8025          | 0.6786    | 0.0226          | 0.8561               | 0.7507         | 5e-06    | 37    |
+| 0.0163     | 0.8027          | 0.6791    | 0.0231          | 0.8560               | 0.7505         | 5e-06    | 38    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6db0d0fff1776472e1335b31911f8a52a2fe74709451e3f31b7294e36c42618f
+oid sha256:60f5234904f0dba58b0b405159ae17c97f66f532423754ce1932afc54e326ecf
 size 15133664