Training in progress epoch 8

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: 0.4679
-- Train Accuracy: 0.9164
-- Validation Loss: 1.0081
-- Validation Accuracy: 0.7749
-- Epoch: 7
+- Train Loss: 0.3966
+- Train Accuracy: 0.9381
+- Validation Loss: 0.9864
+- Validation Accuracy: 0.7706
+- Epoch: 8
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.7743     | 0.8046         | 1.2363          | 0.6883              | 5     |
 | 0.5871     | 0.8784         | 1.0712          | 0.7273              | 6     |
 | 0.4679     | 0.9164         | 1.0081          | 0.7749              | 7     |
+| 0.3966     | 0.9381         | 0.9864          | 0.7706              | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:21a5afc5fc2dae4761eb7def9ee8edeb5728f00b81255e12ac6fd7b53fd49bcd
+oid sha256:1d15e246b32768baab33b837f37b019dc26327ad3067f4a6c7ee3324ef72b5e2
 size 711818664