Training in progress epoch 61

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: 0.7783
-- Train Iou: 0.6500
-- Validation Loss: 0.0234
-- Validation Dice Coef: 0.8489
-- Validation Iou: 0.7415
+- Train Loss: 0.0186
+- Train Dice Coef: 0.7771
+- Train Iou: 0.6484
+- Validation Loss: 0.0238
+- Validation Dice Coef: 0.8482
+- Validation Iou: 0.7402
 - Train Lr: 1e-10
-- Epoch: 60
+- Epoch: 61
 
 ## Model description
 
@@ -108,6 +108,7 @@ The following hyperparameters were used during training:
 | 0.0189     | 0.7772          | 0.6480    | 0.0237          | 0.8482               | 0.7405         | 1e-10    | 58    |
 | 0.0187     | 0.7756          | 0.6477    | 0.0231          | 0.8511               | 0.7443         | 1e-10    | 59    |
 | 0.0188     | 0.7783          | 0.6500    | 0.0234          | 0.8489               | 0.7415         | 1e-10    | 60    |
+| 0.0186     | 0.7771          | 0.6484    | 0.0238          | 0.8482               | 0.7402         | 1e-10    | 61    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df1e4e307adce55b696f452e7833cf46956725900da5e7731b563eeafe291110
+oid sha256:d3ad2f83653de216934097418079c0bda13f29e5426ce2b72ff33d201222668c
 size 15133664