Training in progress epoch 38

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: 0.0120
-- Train Accuracy: 0.9927
-- Validation Loss: 0.8342
+- Train Loss: 0.0128
+- Train Accuracy: 0.9930
+- Validation Loss: 0.8656
 - Validation Accuracy: 0.8684
-- Epoch: 37
+- Epoch: 38
 
 ## Model description
 
@@ -83,6 +83,7 @@ The following hyperparameters were used during training:
 | 0.0130     | 0.9918         | 0.8177          | 0.8759              | 35    |
 | 0.0127     | 0.9923         | 0.8544          | 0.8759              | 36    |
 | 0.0120     | 0.9927         | 0.8342          | 0.8684              | 37    |
+| 0.0128     | 0.9930         | 0.8656          | 0.8684              | 38    |
 
 
 ### 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:c87b00a58e3b82e610c76f8aa80440e0a0b5bd2e27a1a131a3852f9b536eac35
-size 4195569
+oid sha256:1077fcfb25dfd9caeb4aac71784de1feeaeaf7808e71a771a170f64cfbdbb2d8
+size 4195709

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c64eaae76a9ed35259b2bd1199fa9816e9a5f678307659fc5576613f84165bf
-size 12234
+oid sha256:e40418ea6c9f06430e9b1350593317e68bfddad6d6a8fa8d6a24a0d71585b050
+size 12554

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:072d36246bb3118b67da4f5e8edadb3160ee18b2dd3fa8591dd4df9c952cd06c
+oid sha256:fce6aece954495a9ac6dc02281f226e7a1be775b127ffcbf7b9ec712efc6ae39
 size 438260040