Training in progress epoch 4

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: 0.0985
-- Train Dice Coef: 0.7610
-- Train Iou: 0.6226
-- Validation Loss: 0.0632
-- Validation Dice Coef: 0.8518
-- Validation Iou: 0.7440
+- Train Loss: 0.0933
+- Train Dice Coef: 0.7745
+- Train Iou: 0.6399
+- Validation Loss: 0.0627
+- Validation Dice Coef: 0.8455
+- Validation Iou: 0.7351
 - Train Lr: 1e-04
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.1354     | 0.6853          | 0.5329    | 0.0855          | 0.7853               | 0.6544         | 1e-04    | 1     |
 | 0.1105     | 0.7364          | 0.5924    | 0.0737          | 0.8147               | 0.6916         | 1e-04    | 2     |
 | 0.0985     | 0.7610          | 0.6226    | 0.0632          | 0.8518               | 0.7440         | 1e-04    | 3     |
+| 0.0933     | 0.7745          | 0.6399    | 0.0627          | 0.8455               | 0.7351         | 1e-04    | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fa9ee5be962ce4e2ad0d2626939022babb94c042bc80ba9d8fdf28c9b34b248e
 size 15133664