Training in progress epoch 91

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: 0.0186
-- Train Dice Coef: 0.7776
-- Train Iou: 0.6495
-- Validation Loss: 0.0238
+- Train Loss: 0.0188
+- Train Dice Coef: 0.7772
+- Train Iou: 0.6486
+- Validation Loss: 0.0233
 - Validation Dice Coef: 0.8496
-- Validation Iou: 0.7422
+- Validation Iou: 0.7423
 - Train Lr: 1e-10
-- Epoch: 90
+- Epoch: 91
 
 ## Model description
 
@@ -138,6 +138,7 @@ The following hyperparameters were used during training:
 | 0.0186     | 0.7762          | 0.6472    | 0.0234          | 0.8490               | 0.7415         | 1e-10    | 88    |
 | 0.0189     | 0.7769          | 0.6481    | 0.0230          | 0.8514               | 0.7452         | 1e-10    | 89    |
 | 0.0186     | 0.7776          | 0.6495    | 0.0238          | 0.8496               | 0.7422         | 1e-10    | 90    |
+| 0.0188     | 0.7772          | 0.6486    | 0.0233          | 0.8496               | 0.7423         | 1e-10    | 91    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9430d3163b823422482b54c40584c6811b5aeab1ee6ba0f9aaadf8978dec8372
+oid sha256:f3eeeb218ec3d2efa1f998c2cee07df7339db34faf808ccbd54d380875c8789d
 size 15133664