Update README.md

README.md

@@ -7,32 +7,34 @@ metrics:
 model-index:
 - name: clasificador-muchocine
   results: []
+datasets:
+- muchocine
+language:
+- es
 ---
 
-<!-- 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. -->
+
 
 # clasificador-muchocine
 
-This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
+This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the 'muchocine' dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.3389
 - Accuracy: 0.4671
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
+This model predicts a star_rating for a movie based on a summarized review in Spanish
 
-More information needed
 
 ## Training and evaluation data
 
-More information needed
+The model uses the train split of the muchocine dataset, containing 3,872 reviews.
 
 ## Training procedure
 
+The dataset was randomized and subsequently split into a training set (80%) and a testing set (20%)
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -58,4 +60,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.0
 - Pytorch 1.13.1+cu116
 - Datasets 2.9.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2