Training complete

README.md

@@ -21,11 +21,11 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0616
-- Precision: 0.8439
-- Recall: 0.8346
-- F1: 0.8392
-- Accuracy: 0.9811
+- Loss: 0.0765
+- Precision: 0.7970
+- Recall: 0.7733
+- F1: 0.7850
+- Accuracy: 0.9763
 
 ## Model description
 
@@ -58,13 +58,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 231  | 0.0805          | 0.7890    | 0.8039 | 0.7964 | 0.9755   |
-| No log        | 2.0   | 462  | 0.0616          | 0.8439    | 0.8346 | 0.8392 | 0.9811   |
+| No log        | 1.0   | 231  | 0.0904          | 0.7605    | 0.7562 | 0.7583 | 0.9723   |
+| No log        | 2.0   | 462  | 0.0765          | 0.7970    | 0.7733 | 0.7850 | 0.9763   |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.1+cu121
+- Pytorch 2.4.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1