Training in progress epoch 35

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: 0.0186
-- Train Dice Coef: 0.7767
-- Train Iou: 0.6484
-- Validation Loss: 0.0237
-- Validation Dice Coef: 0.8491
-- Validation Iou: 0.7414
+- Train Dice Coef: 0.7800
+- Train Iou: 0.6517
+- Validation Loss: 0.0229
+- Validation Dice Coef: 0.8503
+- Validation Iou: 0.7436
 - Train Lr: 1.25e-08
-- Epoch: 34
+- Epoch: 35
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 0.0186     | 0.7764          | 0.6488    | 0.0233          | 0.8487               | 0.7416         | 1.25e-08 | 32    |
 | 0.0189     | 0.7725          | 0.6438    | 0.0235          | 0.8492               | 0.7418         | 1.25e-08 | 33    |
 | 0.0186     | 0.7767          | 0.6484    | 0.0237          | 0.8491               | 0.7414         | 1.25e-08 | 34    |
+| 0.0186     | 0.7800          | 0.6517    | 0.0229          | 0.8503               | 0.7436         | 1.25e-08 | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cfc24264b8b31e7414cf859bcdde5862974007dca05b217559f1d2172d903993
+oid sha256:1e38df81e3b293b84adff9631a91d7a6ecc806a523971e9465d1446c4208bc07
 size 15133664