Update README.md

README.md

@@ -5,6 +5,10 @@ tags:
 model-index:
 - name: frncscp/patacoptimus-prime
   results: []
+datasets:
+- frncscp/patacon-730
+metrics:
+- accuracy
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -12,20 +16,20 @@ probably proofread and complete it, then remove this comment. -->
 
 # frncscp/patacoptimus-prime
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on [frncscp/patacon-730](https://huggingface.co/datasets/frncscp/patacon-730).
 It achieves the following results on the evaluation set:
 - Train Loss: 0.0043
 - Validation Loss: 0.0086
 - Train Accuracy: 0.9977
-- Epoch: 1
+- Epoch: 14
 
 ## Model description
 
-More information needed
+One-Class Patacognition Transformer  
 
 ## Intended uses & limitations
 
-More information needed
+It was designed for One-Class Patacón Classification
 
 ## Training and evaluation data
 
@@ -52,4 +56,4 @@ The following hyperparameters were used during training:
 - Transformers 4.28.1
 - TensorFlow 2.12.0
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3