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bert-base-multilingual-cased-finetune-qa
airesearch/bert-base-multilingual-cased-finetune-qa
bert-base-multilingual-cased-finetune-qa is a question answering model from airesearch. Use it when the input is a question plus a passage. It is set up for transformers.
Finetuning bert-base-multilingual-cased with the training set of iappwikiqasquad, thaiqasquad, and nscqa (removed examples which have cosine similarity with validation and test examples over 0.8; contexts of the latte…
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 14, 2021
- SHA
- e77e3864
Try a prompt
Model card
From the Hugging Face model README
bert-base-multilingual-cased
Finetuning bert-base-multilingual-cased with the training set of iapp_wiki_qa_squad, thaiqa_squad, and nsc_qa (removed examples which have cosine similarity with validation and test examples over 0.8; contexts of the latter two are trimmed to be around 300 newmm words). Benchmarks shared on wandb using validation and test sets of iapp_wiki_qa_squad.
Trained with thai2transformers.
Run with:
export MODEL_NAME=bert-base-multilingual-cased
python train_question_answering_lm_finetuning.py \
--model_name $MODEL_NAME \
--dataset_name chimera_qa \
--output_dir $MODEL_NAME-finetune-chimera_qa-model \
--log_dir $MODEL_NAME-finetune-chimera_qa-log \
--pad_on_right \
--fp16
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Jul 14, 2021