Update README.md

README.md

@@ -15,7 +15,7 @@ metrics:
 - F1 Measure
 ---
 
-# MyModel
+# XLM-R large fine-tuned on English semantic role labeling
 
 ## Model description
 
@@ -44,6 +44,7 @@ For more information, please see the accompanying article (See BibTeX entry and
 #### How to use
 
 To use the transformers portion of this model:
+
 ```python
 from transformers import AutoTokenizer, AutoModel
 
@@ -60,12 +61,6 @@ To use the full SRL model (transformers portion + a decoding layer), refer to th
 - The models were trained only for 5 epochs.
 - The English data was preprocessed to match the Portuguese data, so there are some differences in role attributions and some roles were removed from the data.
 
-
-## Training data
-
-Pretrained weights were left identical to the original model [`xlm-roberta-large`](https://huggingface.co/xlm-roberta-large). A randomly initialized embeddings layer for "token_type_ids" was added.
-
-
 ## Training procedure
 
 The models were trained on the CoNLL-2012 dataset, preprocessed to match the Portuguese PropBank.Br data. They were tested on the PropBank.Br data set as well as on a smaller opinion dataset "Buscapé". For more information, please see the accompanying article (See BibTeX entry and citation info below) and the [project's github](https://github.com/asofiaoliveira/srl_bert_pt).