Training in progress epoch 17

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: 0.0821
-- Train Accuracy: 0.9718
-- Validation Loss: 0.8005
-- Validation Accuracy: 0.8442
-- Epoch: 16
+- Train Loss: 0.0770
+- Train Accuracy: 0.9750
+- Validation Loss: 0.7967
+- Validation Accuracy: 0.8485
+- Epoch: 17
 
 ## Model description
 
@@ -62,6 +62,7 @@ The following hyperparameters were used during training:
 | 0.0968     | 0.9729         | 0.7850          | 0.8398              | 14    |
 | 0.0879     | 0.9739         | 0.7976          | 0.8442              | 15    |
 | 0.0821     | 0.9718         | 0.8005          | 0.8442              | 16    |
+| 0.0770     | 0.9750         | 0.7967          | 0.8485              | 17    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:905bc858131912ec89699275027ee888d75e8c78b11d964871b07d07c7c5a4ac
+oid sha256:2c1902595429c31230fd3bbb6a47ca496708315ac5c79f10a715efd628ffc900
 size 711818664