Training in progress epoch 19

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: 0.0236
-- Train Dice Coef: 0.7639
-- Train Iou: 0.6281
-- Validation Loss: 0.0273
-- Validation Dice Coef: 0.8450
-- Validation Iou: 0.7356
+- Train Loss: 0.0221
+- Train Dice Coef: 0.7701
+- Train Iou: 0.6359
+- Validation Loss: 0.0251
+- Validation Dice Coef: 0.8491
+- Validation Iou: 0.7411
 - Train Lr: 1e-04
-- Epoch: 18
+- Epoch: 19
 
 ## Model description
 
@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
 | 0.0237     | 0.7589          | 0.6231    | 0.0286          | 0.8425               | 0.7311         | 1e-04    | 16    |
 | 0.0227     | 0.7682          | 0.6339    | 0.0264          | 0.8467               | 0.7368         | 1e-04    | 17    |
 | 0.0236     | 0.7639          | 0.6281    | 0.0273          | 0.8450               | 0.7356         | 1e-04    | 18    |
+| 0.0221     | 0.7701          | 0.6359    | 0.0251          | 0.8491               | 0.7411         | 1e-04    | 19    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:75841881106a60885f1afae73f276d1274343a639586503a46ed53e7eb486769
+oid sha256:ad37b54a4caa04478e372eb66fd431e371dc5558c00482ee60a97f3627cf7227
 size 15133664