Training in progress epoch 83

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: 0.0188
-- Train Dice Coef: 0.7769
-- Train Iou: 0.6489
-- Validation Loss: 0.0232
-- Validation Dice Coef: 0.8504
-- Validation Iou: 0.7434
+- Train Loss: 0.0190
+- Train Dice Coef: 0.7805
+- Train Iou: 0.6507
+- Validation Loss: 0.0237
+- Validation Dice Coef: 0.8494
+- Validation Iou: 0.7418
 - Train Lr: 1e-10
-- Epoch: 82
+- Epoch: 83
 
 ## Model description
 
@@ -130,6 +130,7 @@ The following hyperparameters were used during training:
 | 0.0188     | 0.7766          | 0.6480    | 0.0235          | 0.8487               | 0.7411         | 1e-10    | 80    |
 | 0.0187     | 0.7764          | 0.6492    | 0.0236          | 0.8497               | 0.7421         | 1e-10    | 81    |
 | 0.0188     | 0.7769          | 0.6489    | 0.0232          | 0.8504               | 0.7434         | 1e-10    | 82    |
+| 0.0190     | 0.7805          | 0.6507    | 0.0237          | 0.8494               | 0.7418         | 1e-10    | 83    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0a2ffcd9f4301d72d3c649da57815c2dafe60c68715538c715de23f88ef78890
+oid sha256:4ee90d7315d2e02db4a34308061ba0f78e51362ad9074662c08c5064813eec40
 size 15133664