update model card README.md

README.md

@@ -1,4 +1,5 @@
 ---
+base_model: cardiffnlp/twitter-roberta-base-sentiment
 tags:
 - generated_from_trainer
 metrics:
@@ -15,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.6527
-- Accuracy: 0.73
+- Loss: 0.6957
+- Accuracy: 0.7107
 
 ## Model description
 
@@ -47,17 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8141        | 0.5   | 500  | 0.7173          | 0.716    |
-| 0.7227        | 1.0   | 1000 | 0.7398          | 0.714    |
-| 0.7071        | 1.5   | 1500 | 0.6737          | 0.7105   |
-| 0.6821        | 2.0   | 2000 | 0.6600          | 0.729    |
-| 0.6332        | 2.5   | 2500 | 0.6549          | 0.73     |
-| 0.5954        | 3.0   | 3000 | 0.6527          | 0.73     |
+| 0.8279        | 0.52  | 500  | 0.8843          | 0.6755   |
+| 0.7718        | 1.04  | 1000 | 0.7864          | 0.6786   |
+| 0.739         | 1.55  | 1500 | 0.7484          | 0.6982   |
+| 0.7014        | 2.07  | 2000 | 0.7300          | 0.7039   |
+| 0.6634        | 2.59  | 2500 | 0.6957          | 0.7107   |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3