update model card README.md

README.md

@@ -19,11 +19,11 @@ 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: 0.3620
-- Accuracy: 0.8379
-- F1: 0.6855
-- Precision: 0.6441
-- Recall: 0.7327
+- Loss: 0.3854
+- Accuracy: 0.8257
+- F1: 0.6106
+- Precision: 0.7338
+- Recall: 0.5228
 
 ## Model description
 
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.5408        | 1.0   | 50   | 0.5372          | 0.7588   | 0.0    | 0.0       | 0.0    |
-| 0.4065        | 2.0   | 100  | 0.3983          | 0.8154   | 0.4998 | 0.7215    | 0.3823 |
-| 0.3397        | 3.0   | 150  | 0.3620          | 0.8379   | 0.6855 | 0.6441    | 0.7327 |
+| 0.5871        | 1.0   | 50   | 0.5541          | 0.7387   | 0.0    | 0.0       | 0.0    |
+| 0.452         | 2.0   | 100  | 0.4134          | 0.8002   | 0.5681 | 0.6527    | 0.5030 |
+| 0.3292        | 3.0   | 150  | 0.3854          | 0.8257   | 0.6106 | 0.7338    | 0.5228 |
 
 
 ### Framework versions
 
 - Transformers 4.12.5
-- Pytorch 1.10.0+cu113
+- Pytorch 1.10.0+cu111
 - Datasets 1.16.1
 - Tokenizers 0.10.3