Training in progress epoch 93

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: 0.0516
-- Train Dice Coef: 0.8430
-- Train Iou: 0.7422
-- Validation Loss: 0.0455
-- Validation Dice Coef: 0.8830
-- Validation Iou: 0.7915
+- Train Loss: 0.0523
+- Train Dice Coef: 0.8499
+- Train Iou: 0.7491
+- Validation Loss: 0.0457
+- Validation Dice Coef: 0.8832
+- Validation Iou: 0.7919
 - Train Lr: 1e-10
-- Epoch: 92
+- Epoch: 93
 
 ## Model description
 
@@ -140,6 +140,7 @@ The following hyperparameters were used during training:
 | 0.0528     | 0.8435          | 0.7408    | 0.0449          | 0.8855               | 0.7954         | 1e-10    | 90    |
 | 0.0521     | 0.8417          | 0.7399    | 0.0441          | 0.8859               | 0.7961         | 1e-10    | 91    |
 | 0.0516     | 0.8430          | 0.7422    | 0.0455          | 0.8830               | 0.7915         | 1e-10    | 92    |
+| 0.0523     | 0.8499          | 0.7491    | 0.0457          | 0.8832               | 0.7919         | 1e-10    | 93    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:85cfe5c41c22b44c6b784feea2264488b6e5e3c1cef1c7cf086ec7b7f6976950
+oid sha256:b341aff6cbed585b124cb68bae7fa71e4a01c4c53f5784c128afdb343d1523fe
 size 15133664