Training in progress epoch 44

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: 0.0424
-- Train Dice Coef: 0.8830
-- Train Iou: 0.7922
-- Validation Loss: 0.0436
-- Validation Dice Coef: 0.8886
-- Validation Iou: 0.8008
+- Train Loss: 0.0427
+- Train Dice Coef: 0.8806
+- Train Iou: 0.7888
+- Validation Loss: 0.0434
+- Validation Dice Coef: 0.8893
+- Validation Iou: 0.8020
 - Train Lr: 1.25e-08
-- Epoch: 43
+- Epoch: 44
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 1.25e-08, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 6.25e-10, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -91,6 +91,7 @@ The following hyperparameters were used during training:
 | 0.0426     | 0.8824          | 0.7913    | 0.0431          | 0.8900               | 0.8030         | 1.25e-08 | 41    |
 | 0.0424     | 0.8832          | 0.7926    | 0.0433          | 0.8893               | 0.8019         | 1.25e-08 | 42    |
 | 0.0424     | 0.8830          | 0.7922    | 0.0436          | 0.8886               | 0.8008         | 1.25e-08 | 43    |
+| 0.0427     | 0.8806          | 0.7888    | 0.0434          | 0.8893               | 0.8020         | 1.25e-08 | 44    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:092a8b20d3925ce61932d173501a55ee9a2360a4c67dd6e919f515f0539f7a2e
+oid sha256:e342780c015322dd707cfccee65ab225a0ce2b74081ad05224ed593360cc4d3c
 size 15133664