Training in progress epoch 64

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: 0.0421
-- Train Dice Coef: 0.8827
-- Train Iou: 0.7919
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8906
-- Validation Iou: 0.8039
+- Train Loss: 0.0422
+- Train Dice Coef: 0.8815
+- Train Iou: 0.7901
+- Validation Loss: 0.0429
+- Validation Dice Coef: 0.8901
+- Validation Iou: 0.8031
 - Train Lr: 1e-10
-- Epoch: 63
+- Epoch: 64
 
 ## Model description
 
@@ -111,6 +111,7 @@ The following hyperparameters were used during training:
 | 0.0420     | 0.8834          | 0.7927    | 0.0433          | 0.8888               | 0.8010         | 1e-10    | 61    |
 | 0.0425     | 0.8820          | 0.7909    | 0.0429          | 0.8896               | 0.8023         | 1e-10    | 62    |
 | 0.0421     | 0.8827          | 0.7919    | 0.0431          | 0.8906               | 0.8039         | 1e-10    | 63    |
+| 0.0422     | 0.8815          | 0.7901    | 0.0429          | 0.8901               | 0.8031         | 1e-10    | 64    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:baea2c9782e2884e4cdf4d7d8b6a0ea30fe77473ee9ce0f0399fb3b289bef209
+oid sha256:4e3c12a4406ea4f8e34c0364b9dd6628c7a74ec5331fb9aa4f38b3dc0da997a5
 size 15133664