End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: bert-base
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5726
+- Accuracy: 0.6855
+- Precision: 0.6780
+- Recall: 0.7066
+- F1: 0.6920
 
 ## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6944        | 1.0   | 1074 | 0.6932          | 0.4921   | 0.4901    | 0.3924 | 0.4359 |
+| 0.6935        | 2.0   | 2148 | 0.6914          | 0.5337   | 0.5443    | 0.4139 | 0.4702 |
+| 0.5977        | 3.0   | 3222 | 0.5726          | 0.6855   | 0.6780    | 0.7066 | 0.6920 |
+
+
 ### Framework versions
 
 - Transformers 4.36.2