Update README.md

README.md

@@ -13,7 +13,7 @@ metrics:
 - F1 Measure
 ---
 
-# MyModel
+# XLM-R base fine-tuned on Portuguese semantic role labeling
 
 ## Model description
 
@@ -56,15 +56,9 @@ To use the full SRL model (transformers portion + a decoding layer), refer to th
 
 - This model does not include a Tensorflow version. This is because the "type_vocab_size" in this model was changed (from 1 to 2) and, therefore, it cannot be easily converted to Tensorflow.
 
-
-## Training data
-
-Pretrained weights were left identical to the original model [`xlm-roberta-base`](https://huggingface.co/xlm-roberta-base). A randomly initialized embeddings layer for "token_type_ids" was added.
-
-
 ## Training procedure
 
-The models were trained on the PropBank.Br datasets, using Cross-Validation. They were tested on the folds 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).
+The model was trained on the PropBank.Br datasets, using 10-fold Cross-Validation. The 10 resulting models were tested on the folds 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).
 
 ## Eval results