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Update README.md (#5199)

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Fix/add information in README.md
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Adriano Diniz
2020-06-24 05:42:46 -03:00
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model_cards/aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616/README.md
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# 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 ## Training the model
@@ -14,7 +14,7 @@ python run_language_modeling.py
--mlm_probability 0.2 --mlm_probability 0.2
--line_by_line --line_by_line
--block_size 512 --block_size 512
--per_device_train_batch_size 20 --per_device_train_batch_size 10
--learning_rate 3e-5 --learning_rate 3e-5
--num_train_epochs 2 --num_train_epochs 2
--output_dir bert_uncased_L-10_H-512_A-8_cord19-200616 --output_dir bert_uncased_L-10_H-512_A-8_cord19-200616