End of training

README.md

@@ -20,11 +20,11 @@ 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: 0.2661
-- F1: 0.9386
-- Accuracy: 0.9557
-- Precision: 0.9403
-- Recall: 0.9370
+- Loss: 0.2496
+- F1: 0.9405
+- Accuracy: 0.9570
+- Precision: 0.9430
+- Recall: 0.9379
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
-| 0.2173        | 1.0   | 5084  | 0.2008          | 0.8888 | 0.9212   | 0.9076    | 0.8708 |
-| 0.1684        | 2.0   | 10168 | 0.2277          | 0.9216 | 0.9436   | 0.9276    | 0.9156 |
-| 0.1212        | 3.0   | 15252 | 0.2288          | 0.9320 | 0.9503   | 0.9228    | 0.9414 |
-| 0.0683        | 4.0   | 20336 | 0.2502          | 0.9424 | 0.9584   | 0.9429    | 0.9419 |
+| 0.2219        | 1.0   | 5084  | 0.2074          | 0.8884 | 0.9181   | 0.8762    | 0.9010 |
+| 0.1731        | 2.0   | 10168 | 0.2263          | 0.9211 | 0.9429   | 0.9201    | 0.9222 |
+| 0.125         | 3.0   | 15252 | 0.2425          | 0.9360 | 0.9539   | 0.9396    | 0.9325 |
+| 0.076         | 4.0   | 20336 | 0.2556          | 0.9401 | 0.9568   | 0.9438    | 0.9364 |
 
 
 ### Framework versions