Model save

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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3833
-- Precision: 0.7056
-- Recall: 0.7083
-- F1: 0.7067
-- Accuracy: 0.9413
+- Loss: 0.3857
+- Precision: 0.7092
+- Recall: 0.7122
+- F1: 0.7105
+- Accuracy: 0.9463
 
 ## Model description
 
@@ -49,15 +49,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2989        | 1.0   | 2500 | 0.4197          | 0.6917    | 0.6943 | 0.6919 | 0.9216   |
-| 0.2046        | 2.0   | 5000 | 0.4013          | 0.7029    | 0.7052 | 0.7035 | 0.9368   |
-| 0.1039        | 3.0   | 7500 | 0.3833          | 0.7056    | 0.7083 | 0.7067 | 0.9413   |
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.385         | 1.0   | 2500  | 0.4128          | 0.6909    | 0.6936 | 0.6910 | 0.9204   |
+| 0.2798        | 2.0   | 5000  | 0.4055          | 0.6934    | 0.6951 | 0.6934 | 0.9234   |
+| 0.2032        | 3.0   | 7500  | 0.3651          | 0.7042    | 0.7064 | 0.7052 | 0.9392   |
+| 0.1438        | 4.0   | 10000 | 0.4059          | 0.7055    | 0.7089 | 0.7069 | 0.9416   |
+| 0.0829        | 5.0   | 12500 | 0.3857          | 0.7092    | 0.7122 | 0.7105 | 0.9463   |
 
 
 ### Framework versions