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 [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1525
-- Precision: 0.0031
-- Recall: 0.0128
-- F1: 0.0050
-- Accuracy: 0.1087
+- Loss: 2.2260
+- Precision: 0.0015
+- Recall: 0.0026
+- F1: 0.0019
+- Accuracy: 0.1889
 
 ## Model description
 
@@ -56,12 +56,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 2.1814        | 1.0   | 14   | 2.1525          | 0.0031    | 0.0128 | 0.0050 | 0.1087   |
+| 2.2712        | 1.0   | 14   | 2.2260          | 0.0015    | 0.0026 | 0.0019 | 0.1889   |
 
 
 ### Framework versions
 
-- Transformers 4.32.0.dev0
-- Pytorch 2.0.0
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu117
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1