Training in progress epoch 98

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: 0.0423
-- Train Dice Coef: 0.8818
-- Train Iou: 0.7908
-- Validation Loss: 0.0428
-- Validation Dice Coef: 0.8900
-- Validation Iou: 0.8028
+- Train Loss: 0.0417
+- Train Dice Coef: 0.8838
+- Train Iou: 0.7934
+- Validation Loss: 0.0427
+- Validation Dice Coef: 0.8906
+- Validation Iou: 0.8040
 - Train Lr: 1e-10
-- Epoch: 97
+- Epoch: 98
 
 ## Model description
 
@@ -145,6 +145,7 @@ The following hyperparameters were used during training:
 | 0.0425     | 0.8822          | 0.7912    | 0.0429          | 0.8904               | 0.8037         | 1e-10    | 95    |
 | 0.0424     | 0.8812          | 0.7895    | 0.0429          | 0.8896               | 0.8023         | 1e-10    | 96    |
 | 0.0423     | 0.8818          | 0.7908    | 0.0428          | 0.8900               | 0.8028         | 1e-10    | 97    |
+| 0.0417     | 0.8838          | 0.7934    | 0.0427          | 0.8906               | 0.8040         | 1e-10    | 98    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e4edb73bda769900c685ce91a0d3cbff0e9bc975779a6bc8316da5386334d30d
+oid sha256:8129b9d1aa54629694933ac7298d14d2d68fa3fbaec9e09c0852e5006f58b66a
 size 15133664