Training in progress epoch 63

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: 0.0161
-- Train Dice Coef: 0.8057
-- Train Iou: 0.6830
-- Validation Loss: 0.0229
-- Validation Dice Coef: 0.8561
-- Validation Iou: 0.7507
+- Train Loss: 0.0160
+- Train Dice Coef: 0.8046
+- Train Iou: 0.6817
+- Validation Loss: 0.0230
+- Validation Dice Coef: 0.8566
+- Validation Iou: 0.7514
 - Train Lr: 1e-10
-- Epoch: 62
+- Epoch: 63
 
 ## Model description
 
@@ -110,6 +110,7 @@ The following hyperparameters were used during training:
 | 0.0159     | 0.8085          | 0.6859    | 0.0223          | 0.8572               | 0.7522         | 1e-10    | 60    |
 | 0.0159     | 0.8046          | 0.6815    | 0.0223          | 0.8578               | 0.7533         | 1e-10    | 61    |
 | 0.0161     | 0.8057          | 0.6830    | 0.0229          | 0.8561               | 0.7507         | 1e-10    | 62    |
+| 0.0160     | 0.8046          | 0.6817    | 0.0230          | 0.8566               | 0.7514         | 1e-10    | 63    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0245491a1da849efd1a02e462f2368d849020723ad0766c76a5556acb1fd8a11
+oid sha256:be9e4b990d00bd45b19af968b18a0b038cfc5e23609fe7adcd49cdddcdf325c9
 size 15133664