update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.944516129032258
+      value: 0.9180645161290323
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.1536
-- Accuracy: 0.9445
+- Loss: 0.7719
+- Accuracy: 0.9181
 
 ## Model description
 
@@ -55,22 +55,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 0.8610          | 0.7416   |
-| 1.1164        | 2.0   | 636  | 0.4216          | 0.8748   |
-| 1.1164        | 3.0   | 954  | 0.2494          | 0.9194   |
-| 0.3947        | 4.0   | 1272 | 0.1940          | 0.9335   |
-| 0.2079        | 5.0   | 1590 | 0.1747          | 0.9384   |
-| 0.2079        | 6.0   | 1908 | 0.1645          | 0.9423   |
-| 0.1641        | 7.0   | 2226 | 0.1591          | 0.9439   |
-| 0.1476        | 8.0   | 2544 | 0.1561          | 0.9455   |
-| 0.1476        | 9.0   | 2862 | 0.1542          | 0.9442   |
-| 0.1413        | 10.0  | 3180 | 0.1536          | 0.9445   |
+| No log        | 1.0   | 318  | 3.2882          | 0.7426   |
+| 3.7861        | 2.0   | 636  | 1.8744          | 0.8381   |
+| 3.7861        | 3.0   | 954  | 1.1567          | 0.8958   |
+| 1.6922        | 4.0   | 1272 | 0.8569          | 0.9132   |
+| 0.9055        | 5.0   | 1590 | 0.7719          | 0.9181   |
 
 
 ### Framework versions