Training in progress epoch 5

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1785
-- Validation Loss: 1.0983
-- Train Accuracy: 0.6712
-- Epoch: 4
+- Train Loss: 0.0729
+- Validation Loss: 1.2668
+- Train Accuracy: 0.6678
+- Epoch: 5
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.5737     | 0.8554          | 0.6473         | 2     |
 | 0.3301     | 0.9670          | 0.6473         | 3     |
 | 0.1785     | 1.0983          | 0.6712         | 4     |
+| 0.0729     | 1.2668          | 0.6678         | 5     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720605800.c8c4caa95cb8.257.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:398d7f698ff22c428cf69acb21fc5394a9a7312db9993d1bac12cb1f3e2565e5
-size 3530608
+oid sha256:fcafe5cfc07ba00c1e27bdfae3c34ace528998752935500cd3639810e2341423
+size 3530748

logs/validation/events.out.tfevents.1720605912.c8c4caa95cb8.257.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:99a399198bbf1fe5bcbd1dce428495653dbb6fe75645c1486a5d9d2cdcd4be28
-size 855
+oid sha256:d3d3138698a5cfe1a1f3aefbe84fe376154da63f3254d3f538034badcae9690e
+size 1011

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b90950cc45947ed70ae9093dde392dce62e792152e8d3646fce2f9185af873e
+oid sha256:93dc9eca0a212e13be1aad9558c6f4e90bbbdb190f9e9e50b064941f40150ce7
 size 442766620