Training in progress epoch 12

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: 0.1364
+- Train Loss: 0.1217
 - Train Accuracy: 0.9707
-- Validation Loss: 0.7984
-- Validation Accuracy: 0.8312
-- Epoch: 11
+- Validation Loss: 0.7948
+- Validation Accuracy: 0.8268
+- Epoch: 12
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 0.2068     | 0.9609         | 0.7936          | 0.8182              | 9     |
 | 0.1594     | 0.9729         | 0.8264          | 0.8182              | 10    |
 | 0.1364     | 0.9707         | 0.7984          | 0.8312              | 11    |
+| 0.1217     | 0.9707         | 0.7948          | 0.8268              | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f020d38e114964ed368007d48aa3c92d59a2e9c1b75e37ab4aea3283454371d2
+oid sha256:1f7fa7cbd2f4b7972052e69679bb466e0bcc2a826e5b77e373c9508cc04cde1d
 size 711818664