Training in progress epoch 59

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: 0.0420
-- Train Dice Coef: 0.8818
-- Train Iou: 0.7906
-- Validation Loss: 0.0428
-- Validation Dice Coef: 0.8903
-- Validation Iou: 0.8035
+- Train Loss: 0.0416
+- Train Dice Coef: 0.8845
+- Train Iou: 0.7945
+- Validation Loss: 0.0434
+- Validation Dice Coef: 0.8889
+- Validation Iou: 0.8012
 - Train Lr: 1e-10
-- Epoch: 58
+- Epoch: 59
 
 ## Model description
 
@@ -106,6 +106,7 @@ The following hyperparameters were used during training:
 | 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    |
 | 0.0420     | 0.8818          | 0.7906    | 0.0428          | 0.8903               | 0.8035         | 1e-10    | 58    |
+| 0.0416     | 0.8845          | 0.7945    | 0.0434          | 0.8889               | 0.8012         | 1e-10    | 59    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c1adeda85ac4eef39cbcb461abdd81da3378f21c3989fb7c2dfd9d905d3f5320
+oid sha256:5858c401dd6cdc6220a813dac0fbe9c4deb514b113c62b445042e6cf1e92ab42
 size 15133664