Training in progress epoch 29

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: 0.0543
-- Train Dice Coef: 0.8443
-- Train Iou: 0.7406
-- Validation Loss: 0.0468
-- Validation Dice Coef: 0.8803
-- Validation Iou: 0.7877
+- Train Loss: 0.0535
+- Train Dice Coef: 0.8350
+- Train Iou: 0.7324
+- Validation Loss: 0.0459
+- Validation Dice Coef: 0.8833
+- Validation Iou: 0.7919
 - Train Lr: 5e-06
-- Epoch: 28
+- Epoch: 29
 
 ## Model description
 
@@ -76,6 +76,7 @@ The following hyperparameters were used during training:
 | 0.0534     | 0.8391          | 0.7355    | 0.0438          | 0.8872               | 0.7982         | 5e-06    | 26    |
 | 0.0538     | 0.8350          | 0.7310    | 0.0447          | 0.8846               | 0.7941         | 5e-06    | 27    |
 | 0.0543     | 0.8443          | 0.7406    | 0.0468          | 0.8803               | 0.7877         | 5e-06    | 28    |
+| 0.0535     | 0.8350          | 0.7324    | 0.0459          | 0.8833               | 0.7919         | 5e-06    | 29    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0dd85ef4b8c72939afb76a3b735c8135f963f9888acd4d3833010637774a4c3b
+oid sha256:da59e1f69b1a7fe1d1e54b636b2f26cb4e3e29855a8908fcaedf59bed54ee258
 size 15133664