End of training

README.md

@@ -2,6 +2,8 @@
 license: mit
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: SEMEVAL23_TASK3_SUBTASK1_MULTI
   results: []
@@ -12,7 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # SEMEVAL23_TASK3_SUBTASK1_MULTI
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7683
+- F1: 0.6317
 
 ## Model description
 
@@ -40,6 +45,22 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.9869        | 1.0   | 40   | 0.9517          | 0.4244 |
+| 0.5569        | 2.0   | 80   | 0.7365          | 0.5514 |
+| 0.4559        | 3.0   | 120  | 0.7829          | 0.5348 |
+| 0.2018        | 4.0   | 160  | 0.6281          | 0.6241 |
+| 0.1125        | 5.0   | 200  | 0.9291          | 0.5614 |
+| 0.2594        | 6.0   | 240  | 1.0367          | 0.5884 |
+| 0.1883        | 7.0   | 280  | 0.7683          | 0.6317 |
+| 0.1083        | 8.0   | 320  | 0.8660          | 0.6106 |
+| 0.0659        | 9.0   | 360  | 0.8695          | 0.6189 |
+| 0.2554        | 10.0  | 400  | 1.0094          | 0.5839 |
+
+
 ### Framework versions
 
 - Transformers 4.25.1