update model card README.md

README.md

@@ -4,22 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - clinc_oos
-metrics:
-- accuracy
 model-index:
 - name: distilbert-base-uncased-distilled-clinc
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: clinc_oos
-      type: clinc_oos
-      args: plus
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9474193548387096
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-distilled-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: 0.2556
-- Accuracy: 0.9474
 
 ## Model description
 
@@ -57,22 +41,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 10
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.0222        | 1.0   | 318  | 2.2511          | 0.7577   |
-| 1.7418        | 2.0   | 636  | 1.1658          | 0.8719   |
-| 0.909         | 3.0   | 954  | 0.6454          | 0.9158   |
-| 0.5128        | 4.0   | 1272 | 0.4271          | 0.9368   |
-| 0.3329        | 5.0   | 1590 | 0.3408          | 0.9435   |
-| 0.2437        | 6.0   | 1908 | 0.2985          | 0.9445   |
-| 0.1958        | 7.0   | 2226 | 0.2752          | 0.9461   |
-| 0.1688        | 8.0   | 2544 | 0.2650          | 0.9452   |
-| 0.1561        | 9.0   | 2862 | 0.2592          | 0.9471   |
-| 0.1481        | 10.0  | 3180 | 0.2556          | 0.9474   |
-
-
 ### Framework versions
 
 - Transformers 4.11.3