Training in progress epoch 15

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-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0968
-- Train Accuracy: 0.9729
-- Validation Loss: 0.7850
-- Validation Accuracy: 0.8398
-- Epoch: 14
+- Train Loss: 0.0879
+- Train Accuracy: 0.9739
+- Validation Loss: 0.7976
+- Validation Accuracy: 0.8442
+- Epoch: 15
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 0.1217     | 0.9707         | 0.7948          | 0.8268              | 12    |
 | 0.1053     | 0.9729         | 0.7847          | 0.8398              | 13    |
 | 0.0968     | 0.9729         | 0.7850          | 0.8398              | 14    |
+| 0.0879     | 0.9739         | 0.7976          | 0.8442              | 15    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:15d2ea2fc3eb0bb88feb88cfe1440113a9a9504c204ba86b2aa8b0e069b70206
+oid sha256:f487e3fb2873621cf003123d8d22196d6655691a9d7f1b3d40355140448fa593
 size 711818664