End of training

README.md

@@ -1,6 +1,11 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: roberta-base
   results: []
@@ -11,7 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-base
 
-This model was trained from scratch on an unknown dataset.
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3752
+- Accuracy: 0.8436
+- Precision: 0.8472
+- Recall: 0.8383
+- F1: 0.8427
 
 ## Model description
 
@@ -38,6 +49,15 @@ 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5737        | 1.0   | 1074 | 0.4409          | 0.8018   | 0.8208    | 0.7723 | 0.7958 |
+| 0.3689        | 2.0   | 2148 | 0.3821          | 0.8304   | 0.8398    | 0.8165 | 0.8280 |
+| 0.3038        | 3.0   | 3222 | 0.3752          | 0.8436   | 0.8472    | 0.8383 | 0.8427 |
+
+
 ### Framework versions
 
 - Transformers 4.36.2