Training in progress epoch 56

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: 0.7767
-- Train Iou: 0.6485
-- Validation Loss: 0.0233
-- Validation Dice Coef: 0.8499
-- Validation Iou: 0.7429
+- Train Loss: 0.0189
+- Train Dice Coef: 0.7729
+- Train Iou: 0.6441
+- Validation Loss: 0.0234
+- Validation Dice Coef: 0.8488
+- Validation Iou: 0.7413
 - Train Lr: 1e-10
-- Epoch: 55
+- Epoch: 56
 
 ## Model description
 
@@ -103,6 +103,7 @@ The following hyperparameters were used during training:
 | 0.0189     | 0.7764          | 0.6480    | 0.0233          | 0.8500               | 0.7430         | 1e-10    | 53    |
 | 0.0189     | 0.7744          | 0.6461    | 0.0231          | 0.8516               | 0.7449         | 1e-10    | 54    |
 | 0.0188     | 0.7767          | 0.6485    | 0.0233          | 0.8499               | 0.7429         | 1e-10    | 55    |
+| 0.0189     | 0.7729          | 0.6441    | 0.0234          | 0.8488               | 0.7413         | 1e-10    | 56    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3241f2f80abbfc2c1a2610e772085395b8ab9072467aac386996cf748a258a77
+oid sha256:395ecc969ca85f9894fa1c19fbd2fb14449703c7609451c7a4d93962afcb3cf6
 size 15133664