End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9585
-- Accuracy: 0.7420
+- Loss: 0.8684
+- Accuracy: 0.7415
 
 ## Model description
 
@@ -48,10 +48,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7318        | 1.0   | 1024 | 0.6726          | 0.6993   |
-| 0.5469        | 2.0   | 2048 | 0.6892          | 0.7443   |
-| 0.3624        | 3.0   | 3072 | 0.8252          | 0.7397   |
-| 0.2432        | 4.0   | 4096 | 0.9585          | 0.7420   |
+| 0.7909        | 1.0   | 1024 | 0.8396          | 0.6304   |
+| 0.6024        | 2.0   | 2048 | 0.6650          | 0.7267   |
+| 0.4188        | 3.0   | 3072 | 0.6999          | 0.7489   |
+| 0.2708        | 4.0   | 4096 | 0.8684          | 0.7415   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:e8a07a22150cfea3567539cab1ed33de3762a2084a13a0ddead506d5832754d0
 size 421056302