Training in progress epoch 9

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: 0.2991
-- Train Accuracy: 0.9414
-- Validation Loss: 0.8437
+- Train Loss: 0.2068
+- Train Accuracy: 0.9609
+- Validation Loss: 0.7936
 - Validation Accuracy: 0.8182
-- Epoch: 8
+- Epoch: 9
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.6016     | 0.8534         | 1.0513          | 0.7532              | 6     |
 | 0.4495     | 0.8947         | 0.9108          | 0.7879              | 7     |
 | 0.2991     | 0.9414         | 0.8437          | 0.8182              | 8     |
+| 0.2068     | 0.9609         | 0.7936          | 0.8182              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e4a75616c3239d022908f9a202c71bd6f4c32da027f97fd0dc6e919289f9092
+oid sha256:c6bbbe05a2f77ec503a6708d4e44b7b101edc121fc312fc0ffbb90267d15e6e7
 size 711818664