Training in progress epoch 9

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: 0.0293
-- Validation Loss: 1.3686
+- Train Loss: 0.0177
+- Validation Loss: 1.3858
 - Train Accuracy: 0.6712
-- Epoch: 7
+- Epoch: 9
 
 ## Model description
 
@@ -52,6 +52,8 @@ The following hyperparameters were used during training:
 | 0.0729     | 1.2668          | 0.6678         | 5     |
 | 0.0481     | 1.3972          | 0.6541         | 6     |
 | 0.0293     | 1.3686          | 0.6712         | 7     |
+| 0.0255     | 1.3980          | 0.6644         | 8     |
+| 0.0177     | 1.3858          | 0.6712         | 9     |
 
 
 ### 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:fe6e434d1533ae68ee9b003744bda5ea60ab933e806fcd81fcad756c92c20764
-size 3531028
+oid sha256:428970d3243fffde70cf7ab6a1f282c1db5e33945d002d01369b3ff7c7a41576
+size 3531308

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dade66ca220cf36da8900297af8c15b9d5db47c2a7a7746b44ecc6df37b93b75
-size 1323
+oid sha256:14a2c9a572a706d485b4a6e112514ea632c25a445efaa519a2edfcd82d4dafc4
+size 1635

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca6f014267cf656f8f957628d0bccf2f978b00635370b24c26adbee928046a91
+oid sha256:c22ac93c076e2260b75a160106ca1fc4f693de1a1b007b189af1751132fb844a
 size 442766620