Training in progress epoch 94

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: 0.0523
-- Train Dice Coef: 0.8499
-- Train Iou: 0.7491
-- Validation Loss: 0.0457
-- Validation Dice Coef: 0.8832
-- Validation Iou: 0.7919
+- Train Loss: 0.0525
+- Train Dice Coef: 0.8399
+- Train Iou: 0.7371
+- Validation Loss: 0.0452
+- Validation Dice Coef: 0.8846
+- Validation Iou: 0.7940
 - Train Lr: 1e-10
-- Epoch: 93
+- Epoch: 94
 
 ## Model description
 
@@ -141,6 +141,7 @@ The following hyperparameters were used during training:
 | 0.0521     | 0.8417          | 0.7399    | 0.0441          | 0.8859               | 0.7961         | 1e-10    | 91    |
 | 0.0516     | 0.8430          | 0.7422    | 0.0455          | 0.8830               | 0.7915         | 1e-10    | 92    |
 | 0.0523     | 0.8499          | 0.7491    | 0.0457          | 0.8832               | 0.7919         | 1e-10    | 93    |
+| 0.0525     | 0.8399          | 0.7371    | 0.0452          | 0.8846               | 0.7940         | 1e-10    | 94    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b341aff6cbed585b124cb68bae7fa71e4a01c4c53f5784c128afdb343d1523fe
+oid sha256:0d24283e294b834a293822bcebe5826a22fe155c0e38c8fab423e8fa28f56dcf
 size 15133664