Training in progress epoch 96

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: 0.0188
-- Train Dice Coef: 0.7769
-- Train Iou: 0.6477
-- Validation Loss: 0.0234
-- Validation Dice Coef: 0.8492
-- Validation Iou: 0.7419
+- Train Dice Coef: 0.7689
+- Train Iou: 0.6415
+- Validation Loss: 0.0236
+- Validation Dice Coef: 0.8487
+- Validation Iou: 0.7409
 - Train Lr: 1e-10
-- Epoch: 95
+- Epoch: 96
 
 ## Model description
 
@@ -143,6 +143,7 @@ The following hyperparameters were used during training:
 | 0.0188     | 0.7794          | 0.6505    | 0.0233          | 0.8503               | 0.7431         | 1e-10    | 93    |
 | 0.0186     | 0.7739          | 0.6455    | 0.0237          | 0.8476               | 0.7395         | 1e-10    | 94    |
 | 0.0188     | 0.7769          | 0.6477    | 0.0234          | 0.8492               | 0.7419         | 1e-10    | 95    |
+| 0.0188     | 0.7689          | 0.6415    | 0.0236          | 0.8487               | 0.7409         | 1e-10    | 96    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6cf7102488802122486e596a2029b4ba74cf440cf0fbae4e4766771ae1a509d3
+oid sha256:071f09529edfe2f787b060336cbf9dd12e4c0c6a449bbcda9198cc9ac7a3c43c
 size 15133664