Update README.md

README.md

@@ -1,11 +1,6 @@
 ---
 license: apache-2.0
 base_model: bert-base-multilingual-cased
-tags:
-- generated_from_trainer
-model-index:
-- name: multi_rebuttal_neoplasm_mbert
-  results: []
 datasets:
 - HiTZ/multilingual-abstrct
 language:
@@ -16,32 +11,33 @@ language:
 metrics:
 - f1
 pipeline_tag: token-classification
+library_name: transformers
+widget:
+- text: In the comparison of responders versus patients with both SD (6m) and PD, responders indicated better physical well-being (P=.004) and mood (P=.02) at month 3.
+- text: En la comparación de los que respondieron frente a los pacientes tanto con SD (6m) como con EP, los que respondieron indicaron un mejor bienestar físico (P=.004) y estado de ánimo (P=.02) en el mes 3.
+- text: Dans la comparaison entre les répondeurs et les patients atteints de SD (6m) et de PD, les répondeurs ont indiqué un meilleur bien-être physique (P=.004) et une meilleure humeur (P=.02) au mois 3.
+- text: Nel confronto tra i responder e i pazienti con SD (6m) e PD, i responder hanno indicato un migliore benessere fisico (P=.004) e umore (P=.02) al terzo mese.
 ---
 
-<!-- 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. -->
+<p align="center">
+    <br>
+    <img src="http://www.ixa.eus/sites/default/files/anitdote.png" style="width: 45%;">
+    <h2 align="center">mBERT for multilingual Argument Detection in the Medical Domain</h2>
+    <be>
 
-# multi_rebuttal_neoplasm_mbert
 
-This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased)  for the argument mining task on AbstRCT data in English, Spanish, French and Italian.
+# Model Card: mBERT fine-tuned for multilingual (EN,ES,FR,IT) Argument Component Detection
 
 
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) for the argument component 
+detection task on AbstRCT data in English, Spanish, French and Italian ([https://huggingface.co/datasets/HiTZ/multilingual-abstrct]).
 
-## Model description
 
-More information needed
+## Performance
 
-## Intended uses & limitations
+<img src="https://github.com/hitz-zentroa/multilingual-abstrct/blob/65ca5c7452d83bb8d9d534aa401110e570a7ef83/resources/multilingual-abstrct-results.png" style="width: 50%;">
 
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
+## Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
@@ -52,11 +48,7 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
-### Training results
-
-
-
-### Framework versions
+## Framework versions
 
 - Transformers 4.40.0.dev0
 - Pytorch 2.1.2+cu121