Training in progress epoch 7

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: 0.0336
-- Train Dice Coef: 0.6770
-- Train Iou: 0.5307
-- Validation Loss: 0.0540
-- Validation Dice Coef: 0.6264
-- Validation Iou: 0.4881
+- Train Loss: 0.0302
+- Train Dice Coef: 0.7029
+- Train Iou: 0.5592
+- Validation Loss: 0.0518
+- Validation Dice Coef: 0.6516
+- Validation Iou: 0.5234
 - Train Lr: 1e-04
-- Epoch: 6
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.0413     | 0.6306          | 0.4831    | 0.0771          | 0.5239               | 0.3646         | 1e-04    | 4     |
 | 0.0374     | 0.6569          | 0.5086    | 0.0719          | 0.5267               | 0.3854         | 1e-04    | 5     |
 | 0.0336     | 0.6770          | 0.5307    | 0.0540          | 0.6264               | 0.4881         | 1e-04    | 6     |
+| 0.0302     | 0.7029          | 0.5592    | 0.0518          | 0.6516               | 0.5234         | 1e-04    | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:925ccfe58c222e5c07f4df4f4e99e7d9b7609dbf8a5b2c65f9f6cf014be87cd5
+oid sha256:bf183a0a9b4ea57d36875784c1e5bbdf88af7b5fb2cdcf8975827ab797a2b5e5
 size 15133664