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: 0.4495
-- Train Accuracy: 0.8947
-- Validation Loss: 0.9108
-- Validation Accuracy: 0.7879
-- Epoch: 7
+- Train Loss: 0.2991
+- Train Accuracy: 0.9414
+- Validation Loss: 0.8437
+- Validation Accuracy: 0.8182
+- Epoch: 8
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.8128     | 0.7861         | 1.0982          | 0.7143              | 5     |
 | 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     |
 
 
 ### Framework versions

tf_model.h5

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