End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9479
-- Accuracy: 0.6050
+- Loss: 1.4044
+- Accuracy: 0.6210
 
 ## Model description
 
@@ -44,19 +44,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 20
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.457         | 1.0   | 174  | 1.1538          | 0.5685   |
-| 0.9953        | 2.0   | 348  | 1.3080          | 0.5437   |
-| 0.6936        | 3.0   | 522  | 1.1338          | 0.6195   |
-| 0.4849        | 4.0   | 696  | 1.2911          | 0.6268   |
-| 0.3128        | 5.0   | 870  | 1.4852          | 0.6195   |
-| 0.2038        | 6.0   | 1044 | 1.5211          | 0.6181   |
-| 0.1426        | 7.0   | 1218 | 1.9479          | 0.6050   |
+| 1.4331        | 1.0   | 174  | 1.1376          | 0.5962   |
+| 0.9742        | 2.0   | 348  | 1.1682          | 0.5889   |
+| 0.6773        | 3.0   | 522  | 1.1378          | 0.6152   |
+| 0.4721        | 4.0   | 696  | 1.1812          | 0.6268   |
+| 0.3216        | 5.0   | 870  | 1.3856          | 0.6122   |
+| 0.2256        | 6.0   | 1044 | 1.4044          | 0.6210   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a6c05f21bd1fb9fc5c29b33f31722a6a922cff7c2169a19faf46bd1b7f89a13f
+oid sha256:481889d3af239ec24c5d3a58f7f2836ac0d67167ff20a0ccbc7a3cc9cc60c755
 size 540038764