Training in progress epoch 77

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: 0.0160
-- Train Dice Coef: 0.8049
-- Train Iou: 0.6823
-- Validation Loss: 0.0222
-- Validation Dice Coef: 0.8578
-- Validation Iou: 0.7532
+- Train Loss: 0.0159
+- Train Dice Coef: 0.8053
+- Train Iou: 0.6830
+- Validation Loss: 0.0224
+- Validation Dice Coef: 0.8565
+- Validation Iou: 0.7513
 - Train Lr: 1e-10
-- Epoch: 76
+- Epoch: 77
 
 ## Model description
 
@@ -124,6 +124,7 @@ The following hyperparameters were used during training:
 | 0.0161     | 0.8009          | 0.6772    | 0.0224          | 0.8569               | 0.7518         | 1e-10    | 74    |
 | 0.0160     | 0.8039          | 0.6803    | 0.0228          | 0.8561               | 0.7506         | 1e-10    | 75    |
 | 0.0160     | 0.8049          | 0.6823    | 0.0222          | 0.8578               | 0.7532         | 1e-10    | 76    |
+| 0.0159     | 0.8053          | 0.6830    | 0.0224          | 0.8565               | 0.7513         | 1e-10    | 77    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d51fd74b253f47f859df66f38b253e55ef817c0838855d83d8e7cf6e71a53ed8
+oid sha256:bdd8dfcbae812ecccd6a15efd7995b0c2c2f127651b015ee3e31d50823d690c6
 size 15133664