Training in progress epoch 11

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: 0.0030
-- Validation Loss: 0.6086
-- Train Accuracy: 0.8912
-- Epoch: 10
+- Train Loss: 0.0052
+- Validation Loss: 0.4023
+- Train Accuracy: 0.9344
+- Epoch: 11
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.0088     | 0.3740          | 0.9261         | 8     |
 | 0.0019     | 0.4286          | 0.9261         | 9     |
 | 0.0030     | 0.6086          | 0.8912         | 10    |
+| 0.0052     | 0.4023          | 0.9344         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7b1ed024aebe548310a699455fe34b4887c8de7b39ef7dccb122f44f16e7b647
+oid sha256:aaf3be79c653cd5800a1be98274de9c3a1b925b5e75072fd993eec546a1d2bea
 size 498059544