Librarian Bot: Add base_model information to model (#2)

- Librarian Bot: Add base_model information to model (c3f08c950b18a4934012b25be27822b22bacd6ca)


Co-authored-by: Librarian Bot (Bot) <[email protected]>

README.md

@@ -1,17 +1,22 @@
 ---
+language:
+- en
 tags:
 - autotrain
 - text-classification
-language:
-- en
-widget:
-- text: " frases-bertimbau-v0.4 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset."
-- text: "Model description BERTa is a transformer-based masked language model for the Catalan language. It is based on the [RoBERTA](https://github.com/pytorch/fairseq/tree/master/examples/roberta) base model and has been trained on a medium-size corpus collected from publicly available corpora and crawlers"
-- text: "Model description More information needed"
 datasets:
 - davanstrien/autotrain-data-dataset-mentions
+widget:
+- text: ' frases-bertimbau-v0.4 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased)
+    on an unknown dataset.'
+- text: Model description BERTa is a transformer-based masked language model for the
+    Catalan language. It is based on the [RoBERTA](https://github.com/pytorch/fairseq/tree/master/examples/roberta)
+    base model and has been trained on a medium-size corpus collected from publicly
+    available corpora and crawlers
+- text: Model description More information needed
 co2_eq_emissions:
   emissions: 0.008999666562870793
+base_model: neuralmind/bert-base-portuguese-cased
 ---
 
 # Model Trained Using AutoTrain