Training in progress epoch 46

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: 0.0187
-- Train Dice Coef: 0.7765
-- Train Iou: 0.6487
-- Validation Loss: 0.0233
-- Validation Dice Coef: 0.8491
-- Validation Iou: 0.7416
-- Train Lr: 6.25e-10
-- Epoch: 45
+- Train Loss: 0.0186
+- Train Dice Coef: 0.7804
+- Train Iou: 0.6521
+- Validation Loss: 0.0234
+- Validation Dice Coef: 0.8499
+- Validation Iou: 0.7430
+- Train Lr: 1e-10
+- Epoch: 46
 
 ## Model description
 
@@ -93,6 +93,7 @@ The following hyperparameters were used during training:
 | 0.0188     | 0.7773          | 0.6491    | 0.0232          | 0.8510               | 0.7443         | 6.25e-10 | 43    |
 | 0.0185     | 0.7775          | 0.6493    | 0.0229          | 0.8518               | 0.7456         | 6.25e-10 | 44    |
 | 0.0187     | 0.7765          | 0.6487    | 0.0233          | 0.8491               | 0.7416         | 6.25e-10 | 45    |
+| 0.0186     | 0.7804          | 0.6521    | 0.0234          | 0.8499               | 0.7430         | 1e-10    | 46    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6bc688f4fe57caf7a29f07ebda6b5688ec535e4a43defe2bbe8be2dffb9212d3
 size 15133664