Training in progress epoch 29

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0126
+- Train Loss: 0.0127
 - Train Accuracy: 0.9915
-- Validation Loss: 0.8071
-- Validation Accuracy: 0.8797
-- Epoch: 28
+- Validation Loss: 0.8057
+- Validation Accuracy: 0.8722
+- Epoch: 29
 
 ## Model description
 
@@ -74,6 +74,7 @@ The following hyperparameters were used during training:
 | 0.0125     | 0.9925         | 0.7941          | 0.8797              | 26    |
 | 0.0126     | 0.9923         | 0.7943          | 0.8759              | 27    |
 | 0.0126     | 0.9915         | 0.8071          | 0.8797              | 28    |
+| 0.0127     | 0.9915         | 0.8057          | 0.8722              | 29    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1692296835.470540468b49.1002.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d03ff09f32f046811d27644e9723fa55a46594649561f3340e633991b460c94
-size 4194309
+oid sha256:429b5ce91673fe5bc5462452616efb6093fc0fd0874f4b7893d3b1afd3f421d7
+size 4194449

logs/validation/events.out.tfevents.1692297011.470540468b49.1002.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4fae5d1faadf785072b23ef675c09e8b5503b21c4a7e7e239301714960344174
-size 9354
+oid sha256:ac41b73dc4f2f5f16e0fcfb9111668633cd9efa30199f23874ef7f6aa206b2db
+size 9674

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d83ef447cf5528fd26733d951bc0e132c5b291a719254b671e7ce94f9326ccc6
+oid sha256:080940385733fe5fb1ac80fd5e6bd894bf5c007457db2508b7412b8d827d6e6f
 size 438260040