update model card README.md

README.md

@@ -2,6 +2,8 @@
 base_model: cardiffnlp/twitter-roberta-base-sentiment
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: test_trainer
   results: []
@@ -13,6 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 # test_trainer
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6861
+- Accuracy: 0.714
 
 ## Model description
 
@@ -39,6 +44,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8144        | 0.5   | 500  | 0.7865          | 0.7165   |
+| 0.7546        | 1.0   | 1000 | 0.7388          | 0.7045   |
+| 0.7549        | 1.5   | 1500 | 0.7202          | 0.715    |
+| 0.7124        | 2.0   | 2000 | 0.6834          | 0.7145   |
+| 0.689         | 2.5   | 2500 | 0.7048          | 0.712    |
+| 0.6924        | 3.0   | 3000 | 0.6861          | 0.714    |
+
+
 ### Framework versions
 
 - Transformers 4.31.0