fine-tune-bert-stock-thai-SABINA

README.md

@@ -17,8 +17,8 @@ should 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1118
-- Accuracy: 0.3859
+- Loss: 1.1502
+- Accuracy: 0.3597
 
 ## Model description
 
@@ -49,10 +49,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0824        | 1.0   | 553  | 1.0977          | 0.3990   |
-| 1.0801        | 2.0   | 1106 | 1.0912          | 0.3984   |
-| 1.0743        | 3.0   | 1659 | 1.0991          | 0.3966   |
-| 1.0676        | 4.0   | 2212 | 1.1118          | 0.3859   |
+| 1.0972        | 1.0   | 450  | 1.0915          | 0.3606   |
+| 1.0916        | 2.0   | 900  | 1.0926          | 0.3686   |
+| 1.0813        | 3.0   | 1350 | 1.1004          | 0.3739   |
+| 1.0671        | 4.0   | 1800 | 1.1064          | 0.3619   |
+| 1.0376        | 5.0   | 2250 | 1.1372          | 0.3628   |
+| 1.0158        | 6.0   | 2700 | 1.1502          | 0.3597   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b9364c97bb71198aaa6ed938e9d1b3e7bb6804f973822a3b9f166826f1aac56b
+oid sha256:c27bba1018dd14c50074d2a987a42e4e8da7e3e99e02e73e827223b34c00eee4
 size 711446532