Training in progress epoch 10

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: 0.2068
-- Train Accuracy: 0.9609
-- Validation Loss: 0.7936
+- Train Loss: 0.1594
+- Train Accuracy: 0.9729
+- Validation Loss: 0.8264
 - Validation Accuracy: 0.8182
-- Epoch: 9
+- Epoch: 10
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 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     |
+| 0.1594     | 0.9729         | 0.8264          | 0.8182              | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c6bbbe05a2f77ec503a6708d4e44b7b101edc121fc312fc0ffbb90267d15e6e7
+oid sha256:89aa6c8eb54f78d60fc8fa91482501c3b989a4114b1ae2f95868a139f267cb8d
 size 711818664