Training in progress epoch 5

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: 1.1282
-- Train Accuracy: 0.6960
-- Validation Loss: 1.4404
-- Validation Accuracy: 0.6190
-- Epoch: 4
+- Train Loss: 0.8128
+- Train Accuracy: 0.7861
+- Validation Loss: 1.0982
+- Validation Accuracy: 0.7143
+- Epoch: 5
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 2.2064     | 0.3648         | 1.9143          | 0.4416              | 2     |
 | 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     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e564679b6e0a281ca4ab1c212b4321e3d28ca137b47f1a66eda42d04655baed5
 size 711818664