Training in progress epoch 99

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: 0.0187
-- Train Dice Coef: 0.7792
-- Train Iou: 0.6504
-- Validation Loss: 0.0231
-- Validation Dice Coef: 0.8502
-- Validation Iou: 0.7436
+- Train Loss: 0.0186
+- Train Dice Coef: 0.7789
+- Train Iou: 0.6508
+- Validation Loss: 0.0233
+- Validation Dice Coef: 0.8506
+- Validation Iou: 0.7439
 - Train Lr: 1e-10
-- Epoch: 98
+- Epoch: 99
 
 ## Model description
 
@@ -146,6 +146,7 @@ The following hyperparameters were used during training:
 | 0.0188     | 0.7689          | 0.6415    | 0.0236          | 0.8487               | 0.7409         | 1e-10    | 96    |
 | 0.0194     | 0.7756          | 0.6476    | 0.0236          | 0.8504               | 0.7433         | 1e-10    | 97    |
 | 0.0187     | 0.7792          | 0.6504    | 0.0231          | 0.8502               | 0.7436         | 1e-10    | 98    |
+| 0.0186     | 0.7789          | 0.6508    | 0.0233          | 0.8506               | 0.7439         | 1e-10    | 99    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b9b8741ec76acb83b917b33582ab2194e9f99202570861a65705160c841532f
+oid sha256:76e511f7375ee8ddb461db8697653ac843de7d6b9e672d0c21c60228a5245e9c
 size 15133664