Training in progress epoch 35

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: 0.0431
-- Train Dice Coef: 0.8798
-- Train Iou: 0.7875
-- Validation Loss: 0.0433
-- Validation Dice Coef: 0.8895
-- Validation Iou: 0.8022
-- Train Lr: 5e-06
-- Epoch: 34
+- Train Loss: 0.0425
+- Train Dice Coef: 0.8816
+- Train Iou: 0.7903
+- Validation Loss: 0.0435
+- Validation Dice Coef: 0.8892
+- Validation Iou: 0.8016
+- Train Lr: 2.5e-07
+- Epoch: 35
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 0.0430     | 0.8809          | 0.7890    | 0.0439          | 0.8876               | 0.7992         | 5e-06    | 32    |
 | 0.0427     | 0.8812          | 0.7894    | 0.0432          | 0.8892               | 0.8016         | 5e-06    | 33    |
 | 0.0431     | 0.8798          | 0.7875    | 0.0433          | 0.8895               | 0.8022         | 5e-06    | 34    |
+| 0.0425     | 0.8816          | 0.7903    | 0.0435          | 0.8892               | 0.8016         | 2.5e-07  | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fef00409eff4f7c843c3b31c1e2666f7b7a57e77a7b3d813c3aa9f312a141fd5
+oid sha256:af2cda5a74dd1fd8c1dd3bfb1aab6c043ededdfd0e196d5e72cd09078afba343
 size 15133664