Training in progress epoch 62

README.md

@@ -15,13 +15,13 @@ 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: 0.7771
-- Train Iou: 0.6484
-- Validation Loss: 0.0238
-- Validation Dice Coef: 0.8482
-- Validation Iou: 0.7402
+- Train Dice Coef: 0.7776
+- Train Iou: 0.6502
+- Validation Loss: 0.0231
+- Validation Dice Coef: 0.8499
+- Validation Iou: 0.7429
 - Train Lr: 1e-10
-- Epoch: 61
+- Epoch: 62
 
 ## Model description
 
@@ -109,6 +109,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0186     | 0.7776          | 0.6502    | 0.0231          | 0.8499               | 0.7429         | 1e-10    | 62    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d3ad2f83653de216934097418079c0bda13f29e5426ce2b72ff33d201222668c
+oid sha256:4ddb01b33b8a8d5bcec4854e58b9bc64aea1a5bdcb996cbbb05d27882ef92ec4
 size 15133664