Training in progress epoch 2

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: 0.1591
-- Train Dice Coef: 0.5600
-- Train Iou: 0.4126
-- Validation Loss: 0.1768
-- Validation Dice Coef: 0.3601
-- Validation Iou: 0.2345
+- Train Loss: 0.1295
+- Train Dice Coef: 0.6470
+- Train Iou: 0.5014
+- Validation Loss: 0.1637
+- Validation Dice Coef: 0.4628
+- Validation Iou: 0.3163
 - Train Lr: 1e-04
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------:|:---------------:|:--------------------:|:--------------:|:--------:|:-----:|
 | 0.3496     | 0.3697          | 0.2435    | 0.2697          | 0.1141               | 0.0635         | 1e-04    | 0     |
 | 0.1591     | 0.5600          | 0.4126    | 0.1768          | 0.3601               | 0.2345         | 1e-04    | 1     |
+| 0.1295     | 0.6470          | 0.5014    | 0.1637          | 0.4628               | 0.3163         | 1e-04    | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db6e219030d775021bde216d5699a81d0203945c8bff7b154be0389a053907fd
+oid sha256:bfce3ab3e6aa83270877b86fed14e41ac49be5f2561e2ceda3830b8e9f577464
 size 15133664