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: discourse_classification
   results: []
@@ -13,6 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 # discourse_classification
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1346
+- Accuracy: 0.6456
+- F1: 0.6456
 
 ## Model description
 
@@ -39,9 +46,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.20.1
-- Pytorch 1.11.0+cu113
+- Pytorch 1.12.0+cu113
 - Datasets 2.3.2
 - Tokenizers 0.12.1