Training in progress epoch 6

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: 0.8128
-- Train Accuracy: 0.7861
-- Validation Loss: 1.0982
-- Validation Accuracy: 0.7143
-- Epoch: 5
+- Train Loss: 0.6016
+- Train Accuracy: 0.8534
+- Validation Loss: 1.0513
+- Validation Accuracy: 0.7532
+- Epoch: 6
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 1.6431     | 0.5494         | 1.5876          | 0.5411              | 3     |
 | 1.1282     | 0.6960         | 1.4404          | 0.6190              | 4     |
 | 0.8128     | 0.7861         | 1.0982          | 0.7143              | 5     |
+| 0.6016     | 0.8534         | 1.0513          | 0.7532              | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:08a923c162c1001f755320ce8b5211eecd3b2cfe71c3aa538b52e8932757ad65
 size 711818664