update model card README.md

README.md

@@ -2,6 +2,9 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: distilbert-base-uncased-finetuned-emotion
   results: []
@@ -13,6 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-finetuned-emotion
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2218
+- Accuracy: 0.9205
+- F1: 0.9208
 
 ## Model description
 
@@ -39,8 +46,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.8262        | 1.0   | 250  | 0.3223          | 0.9005   | 0.8971 |
+| 0.2474        | 2.0   | 500  | 0.2218          | 0.9205   | 0.9208 |
+
+
 ### Framework versions
 
 - Transformers 4.18.0
 - Pytorch 1.10.0+cu111
-- Tokenizers 0.11.6
+- Tokenizers 0.12.1