Create README.md

README.md

@@ -0,0 +1,39 @@
+---
+language:
+- es
+tags:
+- question-answering
+datasets:
+- squad_es
+metrics:
+- f1
+- em
+
+# Optional. Add this if you want to encode your eval results in a structured way.
+model-index:
+- name: beto-base-spanish-squades2
+  results:
+  - task: 
+      type: question-answering # Required. Example: automatic-speech-recognition
+      name: question-answering  # Optional. Example: Speech Recognition
+    dataset:
+      type: squad_es # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: squad_es v2.0.0   # Required. Example: Common Voice zh-CN
+      args: es         # Optional. Example: zh-CN
+    metrics:
+      - type: f1
+        value: 62.70
+        name: f1
+      - type: exact match
+        value: 54.60
+        name: exact match
+---
+
+The model has been trained on the second version of the [SQuAD_es](https://huggingface.co/datasets/squad_es) database. It is a question-answering dataset automatically translated from SQUAD to Spanish. This version includes the possibility that the answer does not exist within the context. The pretrained model used is ["dccuchile/bert-base-spanish-wwm-cased"](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased), also called as BETO, pretrained on a [big spanish corpus](https://github.com/josecannete/spanish-corpora).
+
+**METRICS**
+
+**F1:** 62.70
+
+**EM:** 54.60
+