Training in progress epoch 72

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: 0.0422
-- Train Dice Coef: 0.8832
-- Train Iou: 0.7926
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8895
-- Validation Iou: 0.8021
+- Train Loss: 0.0427
+- Train Dice Coef: 0.8816
+- Train Iou: 0.7902
+- Validation Loss: 0.0432
+- Validation Dice Coef: 0.8898
+- Validation Iou: 0.8026
 - Train Lr: 1e-10
-- Epoch: 71
+- Epoch: 72
 
 ## Model description
 
@@ -119,6 +119,7 @@ The following hyperparameters were used during training:
 | 0.0420     | 0.8826          | 0.7918    | 0.0430          | 0.8896               | 0.8024         | 1e-10    | 69    |
 | 0.0428     | 0.8811          | 0.7895    | 0.0434          | 0.8900               | 0.8030         | 1e-10    | 70    |
 | 0.0422     | 0.8832          | 0.7926    | 0.0431          | 0.8895               | 0.8021         | 1e-10    | 71    |
+| 0.0427     | 0.8816          | 0.7902    | 0.0432          | 0.8898               | 0.8026         | 1e-10    | 72    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1a9edf4fb4d6aa0e9ca997f0c7e6ac1fa7fce881757ab5de57b6283543453a07
 size 15133664