Training completed!

README.md

@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5913
-- F1: 0.7350
-- Roc Auc: 0.8008
-- Accuracy: 0.3874
+- Loss: 0.6094
+- F1: 0.7390
+- Roc Auc: 0.8019
+- Accuracy: 0.4144
 
 ## Model description
 
@@ -54,10 +54,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| 0.0681        | 1.0   | 111  | 0.5913          | 0.7350 | 0.8008  | 0.3874   |
-| 0.0297        | 2.0   | 222  | 0.6022          | 0.7263 | 0.7955  | 0.3694   |
-| 0.0258        | 3.0   | 333  | 0.6772          | 0.7169 | 0.7854  | 0.3784   |
-| 0.0228        | 4.0   | 444  | 0.6766          | 0.7298 | 0.7982  | 0.3784   |
+| 0.0424        | 1.0   | 111  | 0.6255          | 0.7252 | 0.7940  | 0.3784   |
+| 0.0322        | 2.0   | 222  | 0.6856          | 0.7102 | 0.7831  | 0.3514   |
+| 0.0205        | 3.0   | 333  | 0.6094          | 0.7390 | 0.8019  | 0.4144   |
+| 0.0169        | 4.0   | 444  | 0.6782          | 0.7135 | 0.7842  | 0.3694   |
+| 0.0149        | 5.0   | 555  | 0.6594          | 0.7262 | 0.7939  | 0.3784   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:59f5cda501251cfd835aea1c42e9ee82155b89acf83c508c1f40060f128b58f4
 size 498622052