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 [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0720
-- Precision: 0.6206
-- Recall: 0.6999
-- F1: 0.6579
-- Accuracy: 0.9749
+- Loss: 0.0697
+- Precision: 0.6146
+- Recall: 0.7181
+- F1: 0.6624
+- Accuracy: 0.9758
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 55   | 0.0995          | 0.4306    | 0.3829 | 0.4053 | 0.9649   |
-| No log        | 2.0   | 110  | 0.0732          | 0.5802    | 0.6494 | 0.6128 | 0.9723   |
-| No log        | 3.0   | 165  | 0.0694          | 0.5870    | 0.6957 | 0.6367 | 0.9735   |
-| No log        | 4.0   | 220  | 0.0700          | 0.6161    | 0.6957 | 0.6535 | 0.9749   |
-| No log        | 5.0   | 275  | 0.0720          | 0.6206    | 0.6999 | 0.6579 | 0.9749   |
+| No log        | 1.0   | 55   | 0.1115          | 0.4736    | 0.5161 | 0.4940 | 0.9552   |
+| No log        | 2.0   | 110  | 0.0765          | 0.5789    | 0.6690 | 0.6207 | 0.9721   |
+| No log        | 3.0   | 165  | 0.0711          | 0.5671    | 0.7055 | 0.6288 | 0.9730   |
+| No log        | 4.0   | 220  | 0.0698          | 0.6266    | 0.7083 | 0.6649 | 0.9753   |
+| No log        | 5.0   | 275  | 0.0697          | 0.6146    | 0.7181 | 0.6624 | 0.9758   |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
+- Transformers 4.33.2
 - Pytorch 2.0.1+cu118
-- Datasets 2.14.4
+- Datasets 2.14.5
 - Tokenizers 0.13.3