Training in progress epoch 71

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: 0.0428
-- Train Dice Coef: 0.8811
-- Train Iou: 0.7895
-- Validation Loss: 0.0434
-- Validation Dice Coef: 0.8900
-- Validation Iou: 0.8030
+- Train Loss: 0.0422
+- Train Dice Coef: 0.8832
+- Train Iou: 0.7926
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8895
+- Validation Iou: 0.8021
 - Train Lr: 1e-10
-- Epoch: 70
+- Epoch: 71
 
 ## Model description
 
@@ -118,6 +118,7 @@ The following hyperparameters were used during training:
 | 0.0424     | 0.8813          | 0.7898    | 0.0435          | 0.8893               | 0.8019         | 1e-10    | 68    |
 | 0.0420     | 0.8826          | 0.7918    | 0.0430          | 0.8896               | 0.8024         | 1e-10    | 69    |
 | 0.0428     | 0.8811          | 0.7895    | 0.0434          | 0.8900               | 0.8030         | 1e-10    | 70    |
+| 0.0422     | 0.8832          | 0.7926    | 0.0431          | 0.8895               | 0.8021         | 1e-10    | 71    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f35cc3995d6d2342b25155755754f6909f995162494365415042cd0e57b6353
+oid sha256:9c0bc194e1b228eaaf2cf7251c45a65278eb7899ea611653a6ec38a6195faff0
 size 15133664