Training in progress epoch 45

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: 0.0185
-- Train Dice Coef: 0.7775
-- Train Iou: 0.6493
-- Validation Loss: 0.0229
-- Validation Dice Coef: 0.8518
-- Validation Iou: 0.7456
+- Train Loss: 0.0187
+- Train Dice Coef: 0.7765
+- Train Iou: 0.6487
+- Validation Loss: 0.0233
+- Validation Dice Coef: 0.8491
+- Validation Iou: 0.7416
 - Train Lr: 6.25e-10
-- Epoch: 44
+- Epoch: 45
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 6.25e-10, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 1e-10, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -92,6 +92,7 @@ The following hyperparameters were used during training:
 | 0.0186     | 0.7788          | 0.6505    | 0.0231          | 0.8502               | 0.7434         | 6.25e-10 | 42    |
 | 0.0188     | 0.7773          | 0.6491    | 0.0232          | 0.8510               | 0.7443         | 6.25e-10 | 43    |
 | 0.0185     | 0.7775          | 0.6493    | 0.0229          | 0.8518               | 0.7456         | 6.25e-10 | 44    |
+| 0.0187     | 0.7765          | 0.6487    | 0.0233          | 0.8491               | 0.7416         | 6.25e-10 | 45    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:47e9169322aadd904b271d2bcf8eb50418fe54bf3b4f7846e9682ad43abea92f
 size 15133664