airesearch/wangchanberta-base-att-spm-uncased
Finetuning airesearch/wangchanberta-base-att-spm-uncased 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=airesearch/wangchanberta-base-att-spm-uncased
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 \
--lowercase \
--pad_on_right \
--fp16
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