update model card README.md

README.md

@@ -16,8 +16,8 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2590
-- F1: 0.6703
+- Loss: 1.6535
+- F1: 0.7405
 
 ## Model description
 
@@ -48,31 +48,31 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 65   | 1.6059          | 0.4378 |
-| No log        | 2.0   | 130  | 1.1745          | 0.5973 |
-| No log        | 3.0   | 195  | 1.1097          | 0.6622 |
-| No log        | 4.0   | 260  | 1.1188          | 0.6459 |
-| No log        | 5.0   | 325  | 1.2955          | 0.6324 |
-| No log        | 6.0   | 390  | 1.5177          | 0.6541 |
-| No log        | 7.0   | 455  | 1.8703          | 0.6189 |
-| 0.6433        | 8.0   | 520  | 1.7936          | 0.6486 |
-| 0.6433        | 9.0   | 585  | 1.9287          | 0.6459 |
-| 0.6433        | 10.0  | 650  | 1.9884          | 0.6595 |
-| 0.6433        | 11.0  | 715  | 2.0985          | 0.6568 |
-| 0.6433        | 12.0  | 780  | 2.1248          | 0.6730 |
-| 0.6433        | 13.0  | 845  | 2.1511          | 0.6676 |
-| 0.6433        | 14.0  | 910  | 2.2218          | 0.6622 |
-| 0.6433        | 15.0  | 975  | 2.2069          | 0.6703 |
-| 0.0065        | 16.0  | 1040 | 2.2273          | 0.6676 |
-| 0.0065        | 17.0  | 1105 | 2.2626          | 0.6649 |
-| 0.0065        | 18.0  | 1170 | 2.2593          | 0.6703 |
-| 0.0065        | 19.0  | 1235 | 2.2577          | 0.6703 |
-| 0.0065        | 20.0  | 1300 | 2.2590          | 0.6703 |
+| No log        | 1.0   | 65   | 1.2598          | 0.5730 |
+| No log        | 2.0   | 130  | 1.0439          | 0.6595 |
+| No log        | 3.0   | 195  | 1.0470          | 0.6811 |
+| No log        | 4.0   | 260  | 1.0200          | 0.6919 |
+| No log        | 5.0   | 325  | 1.0680          | 0.6838 |
+| No log        | 6.0   | 390  | 1.1368          | 0.7027 |
+| No log        | 7.0   | 455  | 1.2359          | 0.7216 |
+| 0.5752        | 8.0   | 520  | 1.3921          | 0.7378 |
+| 0.5752        | 9.0   | 585  | 1.4661          | 0.7135 |
+| 0.5752        | 10.0  | 650  | 1.5152          | 0.7378 |
+| 0.5752        | 11.0  | 715  | 1.6092          | 0.7297 |
+| 0.5752        | 12.0  | 780  | 1.5627          | 0.7351 |
+| 0.5752        | 13.0  | 845  | 1.6240          | 0.7378 |
+| 0.5752        | 14.0  | 910  | 1.5876          | 0.7351 |
+| 0.5752        | 15.0  | 975  | 1.6238          | 0.7297 |
+| 0.0161        | 16.0  | 1040 | 1.5987          | 0.7514 |
+| 0.0161        | 17.0  | 1105 | 1.6480          | 0.7405 |
+| 0.0161        | 18.0  | 1170 | 1.6452          | 0.7432 |
+| 0.0161        | 19.0  | 1235 | 1.6592          | 0.7405 |
+| 0.0161        | 20.0  | 1300 | 1.6535          | 0.7405 |
 
 
 ### Framework versions
 
-- Transformers 4.26.0
-- Pytorch 1.13.1+cu116
-- Datasets 2.9.0
-- Tokenizers 0.13.2
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3