Training in progress epoch 57

README.md

@@ -15,13 +15,13 @@ 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: 0.8823
-- Train Iou: 0.7911
-- Validation Loss: 0.0438
-- Validation Dice Coef: 0.8887
-- Validation Iou: 0.8008
+- Train Dice Coef: 0.8821
+- Train Iou: 0.7909
+- Validation Loss: 0.0426
+- Validation Dice Coef: 0.8896
+- Validation Iou: 0.8023
 - Train Lr: 1e-10
-- Epoch: 56
+- Epoch: 57
 
 ## Model description
 
@@ -104,6 +104,7 @@ The following hyperparameters were used during training:
 | 0.0423     | 0.8828          | 0.7920    | 0.0433          | 0.8894               | 0.8020         | 1e-10    | 54    |
 | 0.0424     | 0.8818          | 0.7905    | 0.0431          | 0.8901               | 0.8031         | 1e-10    | 55    |
 | 0.0421     | 0.8823          | 0.7911    | 0.0438          | 0.8887               | 0.8008         | 1e-10    | 56    |
+| 0.0421     | 0.8821          | 0.7909    | 0.0426          | 0.8896               | 0.8023         | 1e-10    | 57    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4d7a50a00f906cdcf71f2db76853bcc37aaa78e4a0b4f3b3673b27fd72e4266
+oid sha256:859af7ca3d606f39933d5ae07857bda19e4662e7fd66504c5aa1bedc58ff534f
 size 15133664