Update README.md

README.md

@@ -169,7 +169,7 @@ The training corpus consists 26B tokens of several corpora gathered from web cra
 
 The dataset has the following language distribution:
 
-|Language|%|
+|Language|Percentage|
 |---|---|
 |En|16.84%|
 |Es|41.38%|
@@ -195,8 +195,8 @@ The training lasted a total of 320 hours on 8 NVIDIA H100 GPUs with 80GB RAM.
 - total_train_batch_size: 8
 - total_eval_batch_size: 8
 - optimizer: Adam
-- betas=(0.9,0.999)
-- epsilon=1e-08
+- betas: (0.9,0.999)
+- epsilon: 1e-08
 - learning_rate: 5e-05
 - lr_scheduler_type: linear
 - num_epochs: 1.0
@@ -226,7 +226,7 @@ Copyright(c) 2023 by Language Technologies Unit, Barcelona Supercomputing Center
 ### Funding
 This work was partially funded by:
   - The [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
-  - The [Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA)](https://portal.mineco.gob.es/en-us/digitalizacionIA/Pages/sedia.aspx) within the framework of the [Plan de Impulso de las Tecnologías del Lenguaje](https://plantl.mineco.gob.es/Paginas/index.aspx).
+  - The [Spanish State Secretariat for Digitalization and Artificial Intelligence](https://portal.mineco.gob.es/en-us/digitalizacionIA/Pages/sedia.aspx) within the framework of the [Plan de Impulso de las Tecnologías del Lenguaje](https://plantl.mineco.gob.es/Paginas/index.aspx).
 
 ### Disclaimer