Update README.md

README.md

@@ -4,33 +4,42 @@ base_model: DeepESP/gpt2-spanish
 tags:
 - generated_from_trainer
 model-index:
-- name: O
+- name: Ocampo
   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. -->
+# Silvina Ocampo - Modelo de Exploración
 
-# O
 
-This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
+## Model description
+
+Este modelo es una versión fine-tuneada de [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish),
+con un dataset de Autores y Autoras Latinoamericanos/as curado por Karen Palacio (https://github.com/karen-pal/borges), del cual seleccionamos a Silvina Ocampo.
+Fue creado durante un taller enfocado en exploración de LLMs por miembros de LAIA (laia.ar), siguiendo en grupo el Taller de Adaptación de Modelos de Lenguaje de Fundación Via Libre (https://github.com/nanom/llm_adaptation_workshop)
+
+This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish), 
+with a dataset of Latin American authors by Karen Palacio (https://github.com/karen-pal/borges), of which Silvina Ocampo's work was chosen.
+It was created during a workshop focused on LLM exploration by members of LAIA (laia.ar), by group-following the LLM Adaptation Workshop by Fundación Via Libre (https://github.com/nanom/llm_adaptation_workshop)
+
 It achieves the following results on the evaluation set:
 - Loss: 2.2787
 
-## Model description
-
-More information needed
 
 ## Intended uses & limitations
 
-More information needed
+El modelo fue fine-tuneado como ejercicio educativo. 
+This model was fine tuned as an educational exercise. 
 
 ## Training and evaluation data
 
-More information needed
+- ver https://github.com/karen-pal/borges para los datasets. En este ejercicio, también agregamos un cuento no disponible en los datos originales.
+- see the link above for the datasets
 
 ## Training procedure
 
+- ver https://github.com/nanom/llm_adaptation_workshop para el procedimiento de entrenamiento.
+- see the link above for the training procedure.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: