Training in progress epoch 99

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: 0.0160
-- Train Dice Coef: 0.8055
-- Train Iou: 0.6822
-- Validation Loss: 0.0229
-- Validation Dice Coef: 0.8552
-- Validation Iou: 0.7492
+- Train Loss: 0.0161
+- Train Dice Coef: 0.8042
+- Train Iou: 0.6813
+- Validation Loss: 0.0228
+- Validation Dice Coef: 0.8559
+- Validation Iou: 0.7502
 - Train Lr: 1e-10
-- Epoch: 98
+- Epoch: 99
 
 ## Model description
 
@@ -146,6 +146,7 @@ The following hyperparameters were used during training:
 | 0.0160     | 0.8037          | 0.6805    | 0.0226          | 0.8568               | 0.7517         | 1e-10    | 96    |
 | 0.0160     | 0.8059          | 0.6835    | 0.0223          | 0.8579               | 0.7533         | 1e-10    | 97    |
 | 0.0160     | 0.8055          | 0.6822    | 0.0229          | 0.8552               | 0.7492         | 1e-10    | 98    |
+| 0.0161     | 0.8042          | 0.6813    | 0.0228          | 0.8559               | 0.7502         | 1e-10    | 99    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cfb351d0ac2e7ce736f0c9ffdd9318a58f9b0c59191be088935236c7e2b58ae2
+oid sha256:7d365bd5c36f02aa36752ba3f0ee75982f4a630d8ad6ec6a50f3bd1fa840990b
 size 15133664