Training in progress epoch 74

README.md

@@ -15,13 +15,13 @@ 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: 0.0161
-- Train Dice Coef: 0.7989
-- Train Iou: 0.6748
-- Validation Loss: 0.0228
-- Validation Dice Coef: 0.8563
-- Validation Iou: 0.7509
+- Train Dice Coef: 0.8009
+- Train Iou: 0.6772
+- Validation Loss: 0.0224
+- Validation Dice Coef: 0.8569
+- Validation Iou: 0.7518
 - Train Lr: 1e-10
-- Epoch: 73
+- Epoch: 74
 
 ## Model description
 
@@ -121,6 +121,7 @@ The following hyperparameters were used during training:
 | 0.0160     | 0.8041          | 0.6812    | 0.0227          | 0.8574               | 0.7525         | 1e-10    | 71    |
 | 0.0161     | 0.8074          | 0.6852    | 0.0222          | 0.8575               | 0.7527         | 1e-10    | 72    |
 | 0.0161     | 0.7989          | 0.6748    | 0.0228          | 0.8563               | 0.7509         | 1e-10    | 73    |
+| 0.0161     | 0.8009          | 0.6772    | 0.0224          | 0.8569               | 0.7518         | 1e-10    | 74    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:20a544536f4dbb8b4bbfca43ee1066b540bbbcc0f2858e4aee60d45a27f766c7
+oid sha256:ed1a1c95c69241d92ac209eb5d60f80e9add1a374c175b9d193f86e673e44c6c
 size 15133664