Training in progress epoch 15

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.8568
-- Validation Loss: 1.7481
-- Train Accuracy: 0.8533
-- Epoch: 6
+- Train Loss: 0.3148
+- Validation Loss: 0.5851
+- Train Accuracy: 0.9033
+- Epoch: 15
 
 ## Model description
 
@@ -51,6 +51,15 @@ The following hyperparameters were used during training:
 | 2.7864     | 2.5536          | 0.79           | 4     |
 | 2.2796     | 2.0981          | 0.8367         | 5     |
 | 1.8568     | 1.7481          | 0.8533         | 6     |
+| 1.5020     | 1.4506          | 0.86           | 7     |
+| 1.1984     | 1.2295          | 0.8667         | 8     |
+| 0.9634     | 1.0538          | 0.8767         | 9     |
+| 0.7803     | 0.9225          | 0.8833         | 10    |
+| 0.6313     | 0.8097          | 0.9            | 11    |
+| 0.5202     | 0.7329          | 0.89           | 12    |
+| 0.4409     | 0.6714          | 0.8933         | 13    |
+| 0.3708     | 0.6185          | 0.8933         | 14    |
+| 0.3148     | 0.5851          | 0.9033         | 15    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:546b255f56bcf705f606aaf2deb61c432ce681f3b0c18e9766d161dd3eeb5f08
+oid sha256:b999605c086477344967063999bd41931da96abc16935208d896b1e11273d6ce
 size 1341734528