add comparison details

README.md

@@ -119,7 +119,7 @@ It can be used for [Extractive Q&A](https://huggingface.co/tasks/question-answer
 
 [Evaluation notebook](https://github.com/anakin87/electra-italian-xxl-cased-squad-it/blob/main/evaluation.ipynb)
 
-## Usage in Transformers
+## Usage in Transformers 🚀
 Model checkpoints are available for usage in Pytorch. They can be used directly with pipelines as:
 
 ```python
@@ -129,11 +129,28 @@ qa = pipeline('question-answering', model='anakin87/electra-italian-xxl-cased-sq
 qa(question="Qual è il soprannome di Vasco Rossi?", context="Vasco Rossi, noto anche semplicemente come Vasco e in passato con l'appellativo Blasco (Zocca, 7 febbraio 1952), è un cantautore italiano")
 >>> {'score': 0.93, 'start': 80, 'end': 86, 'answer': 'Blasco'}
 ```
-## Usage in Haystack
+## Usage in Haystack 🚀🚀🚀
 
 TO DO: link notebook
 
-## Training details
+## 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 | ?                    |
+
+## Training details 🏋️‍
 [Training notebook](https://github.com/anakin87/electra-italian-xxl-cased-squad-it/blob/main/training.ipynb)
 
 **Hyperparameters**