Model save

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6145
-- Accuracy: 0.8578
-- F1: 0.8982
+- Loss: 0.8315
+- Accuracy: 0.8456
+- F1: 0.8897
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 0.5394        | 1.0893 | 500  | 0.4940          | 0.8505   | 0.8928 |
-| 0.3435        | 2.1786 | 1000 | 0.6145          | 0.8578   | 0.8982 |
+| 0.4028        | 1.0893 | 500  | 0.7867          | 0.8505   | 0.8971 |
+| 0.2627        | 2.1786 | 1000 | 0.8315          | 0.8456   | 0.8897 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7e0bd2b737bcdf131037b42d8a391c5288001c576cdc344ef42997bbede41420
+oid sha256:95c38d6d825801f97d1104372d830309d4e3d7624f9655d8f6ef6511b32f1f9b
 size 328492280