update model card README.md

README.md

@@ -2,24 +2,11 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- imdb
 metrics:
 - accuracy
 model-index:
 - name: bert
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: imdb
-      type: imdb
-      args: plain_text
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.92864
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1934
-- Accuracy: 0.9286
+- Loss: 1.5356
+- Accuracy: 0.2900
 
 ## Model description
 
@@ -63,10 +50,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 391  | 0.2053          | 0.9210   |
-| 0.3142        | 2.0   | 782  | 0.1934          | 0.9286   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.5358        | 1.0   | 6195  | 1.5355          | 0.2908   |
+| 1.5248        | 2.0   | 12390 | 1.5356          | 0.2900   |
 
 
 ### Framework versions