update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - clinc_oos
+metrics:
+- accuracy
 model-index:
 - name: distilbert-base-uncased-finetuned-clinc
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: clinc_oos
+      type: clinc_oos
+      config: plus
+      split: validation
+      args: plus
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9158064516129032
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-finetuned-clinc
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7786
+- Accuracy: 0.9158
 
 ## Model description
 
@@ -41,6 +59,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 318  | 3.2787          | 0.7455   |
+| 3.7798        | 2.0   | 636  | 1.8706          | 0.8332   |
+| 3.7798        | 3.0   | 954  | 1.1623          | 0.8939   |
+| 1.6917        | 4.0   | 1272 | 0.8619          | 0.91     |
+| 0.9059        | 5.0   | 1590 | 0.7786          | 0.9158   |
+
+
 ### Framework versions
 
 - Transformers 4.29.1