update model card README.md

README.md

@@ -2,6 +2,11 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: sentence-compression
   results: []
@@ -13,6 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 # sentence-compression
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4221
+- Accuracy: 0.8121
+- F1: 0.7275
+- Precision: 0.7317
+- Recall: 0.7233
 
 ## Model description
 
@@ -42,6 +53,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6263        | 1.0   | 50   | 0.6252          | 0.6549   | 0.0183 | 0.6667    | 0.0093 |
+| 0.4727        | 2.0   | 100  | 0.4900          | 0.7805   | 0.6472 | 0.7309    | 0.5807 |
+| 0.4053        | 3.0   | 150  | 0.4221          | 0.8121   | 0.7275 | 0.7317    | 0.7233 |
 
 
 ### Framework versions