Training in progress epoch 98

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: 0.0161
-- Train Dice Coef: 0.8053
-- Train Iou: 0.6826
-- Validation Loss: 0.0220
-- Validation Dice Coef: 0.8593
-- Validation Iou: 0.7555
+- Train Dice Coef: 0.8059
+- Train Iou: 0.6832
+- Validation Loss: 0.0218
+- Validation Dice Coef: 0.8608
+- Validation Iou: 0.7577
 - Train Lr: 1e-10
-- Epoch: 97
+- Epoch: 98
 
 ## Model description
 
@@ -145,6 +145,7 @@ The following hyperparameters were used during training:
 | 0.0159     | 0.8073          | 0.6852    | 0.0213          | 0.8616               | 0.7590         | 1e-10    | 95    |
 | 0.0158     | 0.8051          | 0.6832    | 0.0219          | 0.8615               | 0.7587         | 1e-10    | 96    |
 | 0.0161     | 0.8053          | 0.6826    | 0.0220          | 0.8593               | 0.7555         | 1e-10    | 97    |
+| 0.0161     | 0.8059          | 0.6832    | 0.0218          | 0.8608               | 0.7577         | 1e-10    | 98    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8a28bfef63bbe98d321a8b353dca4f21d4ec54ecc33fd5383258b54d7c9e7c0
+oid sha256:88ee467b77773644d7895843c2f867adb76bdc6ddef9565e886415120f44c9c1
 size 15133664