End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: google/electra-base-discriminator
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: electra-base-increased-bs-lr
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # electra-base-increased-bs-lr
 
-This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
+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: 0.3120
+- Accuracy: 0.8919
+- Precision: 0.8962
+- Recall: 0.8865
+- F1: 0.8913
 
 ## Model description
 
@@ -40,6 +51,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 269  | 0.3037          | 0.8748   | 0.8840    | 0.8627 | 0.8732 |
+| 0.3324        | 2.0   | 538  | 0.2916          | 0.8896   | 0.8942    | 0.8838 | 0.8890 |
+| 0.3324        | 3.0   | 807  | 0.3120          | 0.8919   | 0.8962    | 0.8865 | 0.8913 |
+
+
 ### Framework versions
 
 - Transformers 4.36.2