Update README.md

README.md

@@ -81,12 +81,12 @@ model-index:
       type: squad_it
       name: SQuAD-IT
     metrics:
+    - type: exact-match
+      value: 0.66
+      name: Test Exact Match    
     - type: f1
       value: 0.775
       name: Test F1
-    - type: exact-match
-      value: 0.66
-      name: Test Exact Match
 train-eval-index:
 - config: default
   task: question-answering
@@ -162,20 +162,20 @@ Answers:
 
 ## Comparison ⚖️
 
-| Model                                                      | EM    | F1    | Model size (PyTorch) |
-|------------------------------------------------------------|-------|-------|----------------------|
-| it5/it5-large-question-answering                           | 69.10 | 78.00 | 3.13 GB              |
-| **anakin87/electra-italian-xxl-cased-squad-it (this one)** | 66.03 | 77.47 | 437 MB               |
-| it5/it5-base-question-answering                            | 66.30 | 76.10 | 990 MB               |
-| it5/mt5-base-question-answering                            | 66.30 | 75.70 | 2.33 GB              |
-| antoniocappiello/bert-base-italian-uncased-squad-it        | 63.80 | 75.30 | 440 MB               |
-| luigisaetta/squad_it_xxl_cased_hub1                        | 63.95 | 75.27 | 440 MB               |
-| it5/it5-efficient-small-el32-question-answering            | 64.50 | 74.70 | 569 MB               |
-| mrm8488/bert-italian-finedtuned-squadv1-it-alfa            | 62.51 | 74.16 | 440 MB               |
-| mrm8488/umberto-wikipedia-uncased-v1-finetuned-squadv1-it  | 60.50 | 72.41 | 443 MB               |
-| it5/it5-small-question-answering                           | 61.90 | 71.60 | 308 MB               |
-| it5/mt5-small-question-answering                           | 56.00 | 66.00 | 1.2 GB               |
-| DrQA-it trained on SQuAD-it                                | 56.10 | 65.90 | ?                    |
+| Model                                                     | EM    | F1    | Model size (pytorch) | Architecture     |
+|-----------------------------------------------------------|-------|-------|----------------------|------------------|
+| it5/it5-large-question-answering                          | 69.10 | 78.00 | 3.13 GB              | encoder-decoder  |
+| anakin87/electra-italian-xxl-cased-squad-it (this one)    | 66.03 | 77.47 | 437 MB               | encoder          |
+| it5/it5-base-question-answering                           | 66.30 | 76.10 | 990 MB               | encoder-decoder  |
+| it5/mt5-base-question-answering                           | 66.30 | 75.70 | 2.33 GB              | encoder-decoder  |
+| antoniocappiello/bert-base-italian-uncased-squad-it       | 63.80 | 75.30 | 440 MB               | encoder          |
+| luigisaetta/squad_it_xxl_cased_hub1                       | 63.95 | 75.27 | 440 MB               | encoder          |
+| it5/it5-efficient-small-el32-question-answering           | 64.50 | 74.70 | 569 MB               | encoder-decoder  |
+| mrm8488/bert-italian-finedtuned-squadv1-it-alfa           | 62.51 | 74.16 | 440 MB               | encoder          |
+| mrm8488/umberto-wikipedia-uncased-v1-finetuned-squadv1-it | 60.50 | 72.41 | 443 MB               | encoder          |
+| it5/it5-small-question-answering                          | 61.90 | 71.60 | 308 MB               | encoder-decoder  |
+| it5/mt5-small-question-answering                          | 56.00 | 66.00 | 1.2 GB               | encoder-decoder  |
+| DrQA-it trained on SQuAD-it                               | 56.10 | 65.90 | ?                    | ?                |
 
 ## Training details 🏋️‍
 [Training notebook](https://github.com/anakin87/electra-italian-xxl-cased-squad-it/blob/main/training.ipynb)