Training in progress epoch 6

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0208
-- Validation Loss: 0.2241
-- Train Accuracy: 0.9303
-- Epoch: 5
+- Train Loss: 0.0070
+- Validation Loss: 0.2794
+- Train Accuracy: 0.9317
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.0435     | 0.3412          | 0.9066         | 3     |
 | 0.0251     | 0.3762          | 0.9079         | 4     |
 | 0.0208     | 0.2241          | 0.9303         | 5     |
+| 0.0070     | 0.2794          | 0.9317         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9efd47b305a3d06e3fd1cfaaf0813f4bfdfb92a721690a5bace0c62afe2c8348
 size 498059544