Update README.md

README.md

@@ -24,11 +24,19 @@ model-index:
     - name: Matthews Correlation
       type: matthews_correlation
       value: 0.6579677841732349
+widget:
+  - text: The cat sat on the mat.
+    example_title: Correct grammatical sentence
+  - text: Me and my friend going to the store.
+    example_title: Incorrect subject-verb agreement
+  - text: I ain't got no money.
+    example_title: Incorrect verb conjugation and double negative
+  - text: She don't like pizza no more.
+    example_title: Incorrect verb conjugation and double negative
+  - text: They is arriving tomorrow.
+    example_title: Incorrect verb conjugation
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # electra-base-discriminator-CoLA
 
 This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the GLUE COLA dataset.
@@ -38,8 +46,20 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Trying to find a decent optimum between accuracy/quality and inference speed.
+
 
+```json
+{
+    "epoch": 8.0,
+    "eval_loss": 0.3541961908340454,
+    "eval_matthews_correlation": 0.6579677841732349,
+    "eval_runtime": 1.9552,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 533.451,
+    "eval_steps_per_second": 33.756
+}
+```
 ## Intended uses & limitations
 
 More information needed