Add README.md

README.md

@@ -0,0 +1,57 @@
+---
+language: es
+tags:
+- biomedical
+- clinical
+- spanish
+- mdeberta-v3-base
+license: mit
+datasets:
+- "IIC/livingner3"
+metrics:
+- f1
+
+model-index:
+- name: IIC/mdeberta-v3-base-livingner3
+  results:
+  - task:
+      type: multi-label-classification
+    dataset:
+      name: livingner3
+      type: IIC/livingner3
+      split: test
+    metrics:
+      - name: f1
+        type: f1
+        value: 0.153
+pipeline_tag: text-classification
+
+---
+
+# mdeberta-v3-base-livingner3
+
+This model is a finetuned version of mdeberta-v3-base for the livingner3 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.153
+
+Please refer to the original publication for more information TODO LINK
+
+## Parameters used
+
+| parameter               | Value |
+|-------------------------|:-----:|
+| batch size              |  64   |
+| learning rate           | 1e-05  |
+| classifier dropout      |  0.2   |
+| warmup ratio            |   0   |
+| warmup steps            |   0   |
+| weight decay            |   0   |
+| optimizer               | AdamW |
+| epochs                  |   10  |
+| early stopping patience |   3   |
+
+
+## BibTeX entry and citation info
+
+```bibtex
+TODO
+```
+