Training in progress epoch 7

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: 0.0211
-- Train Accuracy: 0.9913
-- Validation Loss: 0.5994
+- Train Loss: 0.0195
+- Train Accuracy: 0.9906
+- Validation Loss: 0.6241
 - Validation Accuracy: 0.8797
-- Epoch: 6
+- Epoch: 7
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.0318     | 0.9908         | 0.5729          | 0.8797              | 4     |
 | 0.0251     | 0.9906         | 0.5747          | 0.8797              | 5     |
 | 0.0211     | 0.9913         | 0.5994          | 0.8797              | 6     |
+| 0.0195     | 0.9906         | 0.6241          | 0.8797              | 7     |
 
 
 ### 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:a923cdcbab8368d0c09966011472e0cbf41a850a312e71347888d0d553e46f6f
-size 4191229
+oid sha256:e36c1d1581a07221b7adda076b9732544091347275b9b9eb3041b85d99b4122f
+size 4191369

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fbbc9b86c97e0c3c84c7064ee03aebd59932b8f3b0193a6b871f103f38e7c241
-size 2314
+oid sha256:c4a42ad1e0af176968435d848fb2476bffed7b0c408bbaa1da0cebb61611eee9
+size 2634

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:811651cb51b9766c6bf3301f8ab04fe1b1d1e2e0a9478b04cb72afb92db2e6d0
+oid sha256:d68c95a85d5bb1369e97dd3b8f4427230ece09dc574963eb9541966f1231b838
 size 438260040