Training in progress epoch 92

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: 0.0422
-- Train Dice Coef: 0.8827
-- Train Iou: 0.7918
-- Validation Loss: 0.0428
-- Validation Dice Coef: 0.8902
-- Validation Iou: 0.8033
+- Train Loss: 0.0426
+- Train Dice Coef: 0.8813
+- Train Iou: 0.7897
+- Validation Loss: 0.0433
+- Validation Dice Coef: 0.8891
+- Validation Iou: 0.8016
 - Train Lr: 1e-10
-- Epoch: 91
+- Epoch: 92
 
 ## Model description
 
@@ -139,6 +139,7 @@ The following hyperparameters were used during training:
 | 0.0428     | 0.8809          | 0.7891    | 0.0429          | 0.8897               | 0.8025         | 1e-10    | 89    |
 | 0.0424     | 0.8818          | 0.7903    | 0.0434          | 0.8897               | 0.8025         | 1e-10    | 90    |
 | 0.0422     | 0.8827          | 0.7918    | 0.0428          | 0.8902               | 0.8033         | 1e-10    | 91    |
+| 0.0426     | 0.8813          | 0.7897    | 0.0433          | 0.8891               | 0.8016         | 1e-10    | 92    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:32b9537a1d2744854c5c2c13225595ce9127e6bbad9a0a41d8c04b40b9907312
+oid sha256:0ed05eea643ecf13fe3de6e81c3a7afd039b2ce5ba3d4461f4feb7eb46050842
 size 15133664