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: 0.3966
-- Train Accuracy: 0.9381
-- Validation Loss: 0.9864
-- Validation Accuracy: 0.7706
-- Epoch: 8
+- Train Loss: 0.3425
+- Train Accuracy: 0.9555
+- Validation Loss: 0.9625
+- Validation Accuracy: 0.7835
+- Epoch: 9
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 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     |
+| 0.3425     | 0.9555         | 0.9625          | 0.7835              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d20eb0dc581653a4361caf7747ea05ee88d5a0fadab54f62cf905b42e41a07c1
 size 711818664