Training in progress epoch 99

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: 0.0417
-- Train Dice Coef: 0.8838
-- Train Iou: 0.7934
-- Validation Loss: 0.0427
-- Validation Dice Coef: 0.8906
-- Validation Iou: 0.8040
+- Train Loss: 0.0424
+- Train Dice Coef: 0.8817
+- Train Iou: 0.7903
+- Validation Loss: 0.0436
+- Validation Dice Coef: 0.8897
+- Validation Iou: 0.8024
 - Train Lr: 1e-10
-- Epoch: 98
+- Epoch: 99
 
 ## Model description
 
@@ -146,6 +146,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0424     | 0.8817          | 0.7903    | 0.0436          | 0.8897               | 0.8024         | 1e-10    | 99    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c303ff0478be0b88160fb4902774f7f63acf3c9d5280285a27c77bfe2bef1b8c
 size 15133664