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: 0.5289
-- Accuracy: 0.8683
+- Loss: 0.5968
+- Accuracy: 0.8679
 
 ## Model description
 
@@ -50,11 +50,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4336        | 1.0   | 376  | 0.4422          | 0.8608   |
-| 0.3063        | 2.0   | 752  | 0.3595          | 0.8731   |
-| 0.2319        | 3.0   | 1128 | 0.3879          | 0.8705   |
-| 0.1679        | 4.0   | 1504 | 0.4546          | 0.8724   |
-| 0.1282        | 5.0   | 1880 | 0.5289          | 0.8683   |
+| 0.4286        | 1.0   | 376  | 0.4054          | 0.8600   |
+| 0.3128        | 2.0   | 752  | 0.4025          | 0.8626   |
+| 0.2399        | 3.0   | 1128 | 0.4244          | 0.8735   |
+| 0.174         | 4.0   | 1504 | 0.4759          | 0.8686   |
+| 0.1291        | 5.0   | 1880 | 0.5579          | 0.8604   |
+| 0.0996        | 6.0   | 2256 | 0.5968          | 0.8679   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c27342b55f2367381cb4d568c3575fd82eaffa028a691dfe361459dd99283f08
 size 540026460