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: 0.0054
+- Train Loss: 0.0048
 - Train Accuracy: 1.0
-- Validation Loss: 3.6166
-- Validation Accuracy: 0.4872
-- Epoch: 6
+- Validation Loss: 3.5602
+- Validation Accuracy: 0.5128
+- Epoch: 7
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.0078     | 1.0            | 3.4509          | 0.5128              | 4     |
 | 0.0063     | 1.0            | 3.4978          | 0.5128              | 5     |
 | 0.0054     | 1.0            | 3.6166          | 0.4872              | 6     |
+| 0.0048     | 1.0            | 3.5602          | 0.5128              | 7     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1697306892.db51fd5e6a68.6332.2.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:110832df9321ee74daa6312bfadffdf2ed4ffe37db55176557984a743bcf7e17
-size 4292172
+oid sha256:47bdff6b04f6b9b126672eabbaa2f22fbf4eabe29397ec819c538bd981262560
+size 4292312

logs/validation/events.out.tfevents.1697306978.db51fd5e6a68.6332.3.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e8b5023f25ad42eda375707736a3b326404314352221d5741a4b94667c967d8c
-size 2312
+oid sha256:a6364bf8c05b06e7a6ea6b95d2ad0925b6c3f53d5aa55202cbd24e8e7b2ba4e1
+size 2632

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68bc81b98bb1f43050149fd560f641dbf562d7fb593938fc7e041707222f2998
+oid sha256:5d428a21b8fb21d3917ef150feede837c504b28d39f208677fc2798427ab642d
 size 438466132