Training in progress epoch 20

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: 0.0200
-- Train Dice Coef: 0.7689
-- Train Iou: 0.6389
-- Validation Loss: 0.0238
-- Validation Dice Coef: 0.8497
-- Validation Iou: 0.7424
+- Train Loss: 0.0201
+- Train Dice Coef: 0.7693
+- Train Iou: 0.6384
+- Validation Loss: 0.0237
+- Validation Dice Coef: 0.8492
+- Validation Iou: 0.7418
 - Train Lr: 5e-06
-- Epoch: 19
+- Epoch: 20
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 0.0207     | 0.7614          | 0.6312    | 0.0235          | 0.8482               | 0.7406         | 5e-06    | 17    |
 | 0.0205     | 0.7676          | 0.6365    | 0.0235          | 0.8489               | 0.7414         | 5e-06    | 18    |
 | 0.0200     | 0.7689          | 0.6389    | 0.0238          | 0.8497               | 0.7424         | 5e-06    | 19    |
+| 0.0201     | 0.7693          | 0.6384    | 0.0237          | 0.8492               | 0.7418         | 5e-06    | 20    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c3ad97aa2fc0e54c09c3b468f588c89ba0ac60d55ad26482c86c2cb53d8052e4
+oid sha256:e0e3a5790a140119920fd338fe271f4382000af338b64e7ec4dbd9ae1769f239
 size 15133664