End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6476
-- Accuracy: 0.6443
+- Loss: 0.6177
+- Accuracy: 0.6833
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6718        | 1.0   | 461  | 0.6527          | 0.6334   |
-| 0.6362        | 2.0   | 922  | 0.6393          | 0.6681   |
-| 0.6034        | 3.0   | 1383 | 0.6356          | 0.6508   |
-| 0.5719        | 4.0   | 1844 | 0.6401          | 0.6703   |
-| 0.558         | 5.0   | 2305 | 0.6476          | 0.6443   |
+| 0.6845        | 1.0   | 461  | 0.6513          | 0.6334   |
+| 0.6419        | 2.0   | 922  | 0.6294          | 0.6551   |
+| 0.6103        | 3.0   | 1383 | 0.6159          | 0.6811   |
+| 0.5811        | 4.0   | 1844 | 0.6154          | 0.6941   |
+| 0.5658        | 5.0   | 2305 | 0.6177          | 0.6833   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:09e65b2dc59c0b07aa54a0308c57bb8f76b0bff70154da1c992ccbcead215346
+oid sha256:d286d9d6d1ee5cd0342da8741282f64b34e7e848d478480945ad8eba93f86d6a
 size 498612824