Update README.md

README.md

@@ -9,12 +9,10 @@ model-index:
   results: []
 ---
 
-<!-- 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. -->
-
 # finetuning-pysentimiento-war-tweets
 
-This model is a fine-tuned version of [finiteautomata/beto-sentiment-analysis](https://huggingface.co/finiteautomata/beto-sentiment-analysis) on an unknown dataset.
+This model is a fine-tuned version of [finiteautomata/beto-sentiment-analysis](https://huggingface.co/finiteautomata/beto-sentiment-analysis) on a dataset of 1500 tweets
+from Peruvian accounts.
 It achieves the following results on the evaluation set:
 - Loss: 0.8048
 - Accuracy: 0.7156
@@ -22,15 +20,15 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model in a fine-tuned version of [finiteautomata/beto-sentiment-analysis](https://huggingface.co/finiteautomata/beto-sentiment-analysis) using five labels: **pro_russia**, **against_ukraine**, **neutral**, **against_russia**, **pro_ukraine**.
 
 ## Intended uses & limitations
 
-More information needed
+This model shall be used to classify text (more specifically, Spanish tweets) as expressing a position with respect to the Russo-Ukrainian war.
 
 ## Training and evaluation data
 
-More information needed
+We used an 80/20 training/test split on the aforementioned dataset.
 
 ## Training procedure
 
@@ -45,10 +43,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.20.1