From 033124e5f875dc55092fd728f1e66547c07cfb01 Mon Sep 17 00:00:00 2001
From: Adriano Diniz <adordi@gmail.com>
Date: Wed, 24 Jun 2020 05:42:46 -0300
Subject: [PATCH] Update README.md (#5199)

Fix/add information in README.md
---
 .../bert_uncased_L-10_H-512_A-8_cord19-200616/README.md     | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/model_cards/aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616/README.md b/model_cards/aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616/README.md
index 1dd78fbe19..0db4dea407 100644
--- a/model_cards/aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616/README.md
+++ b/model_cards/aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616/README.md
@@ -1,6 +1,6 @@
-# BERT L-10 H512 fine-tuned on MLM (CORD-19 2020/06/16)
+# BERT L-10 H-512 fine-tuned on MLM (CORD-19 2020/06/16)
 
-BERT model with [10 Transformer layers and hidden embedding of size 512](https://huggingface.co/google/bert_uncased_L-10_H-512_A-8), referenced in [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962).
+BERT model with [10 Transformer layers and hidden embedding of size 512](https://huggingface.co/google/bert_uncased_L-10_H-512_A-8), referenced in [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962), fine-tuned for MLM on CORD-19 dataset (as released on 2020/06/16).
 
 ## Training the model
 
@@ -14,7 +14,7 @@ python run_language_modeling.py
     --mlm_probability 0.2
     --line_by_line
     --block_size 512
-    --per_device_train_batch_size 20
+    --per_device_train_batch_size 10
     --learning_rate 3e-5
     --num_train_epochs 2
     --output_dir bert_uncased_L-10_H-512_A-8_cord19-200616