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wangchanberta-base-att-spm-uncased-finetune-qa

Question Answering
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@@ -12,30 +12,12 @@ Trained with [thai2transformers](https://github.com/vistec-AI/thai2transformers/
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  export WANDB_PROJECT=wangchanberta-qa
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  export MODEL_NAME=wangchanberta-base-att-spm-uncased
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- python train_question_answering_lm_finetuning.py \\\\\\\\
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- --model_name $MODEL_NAME \\\\\\\\
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- --dataset_name iapp_thaiqa \\\\\\\\
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- --output_dir $MODEL_NAME-finetune-iapp_thaiqa-model \\\\\\\\
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- --log_dir $MODEL_NAME-finetune-iapp_thaiqa-log \\\\\\\\
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- --lowercase \\\\\\\\
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- --pad_on_right \\\\\\\\
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- --fp16
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-
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- export MODEL_NAME=xlm-roberta-base
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- python train_question_answering_lm_finetuning.py \\\\\\\\
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- --model_name $MODEL_NAME \\\\\\\\
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- --dataset_name iapp_thaiqa \\\\\\\\
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- --output_dir $MODEL_NAME-finetune-iapp_thaiqa-model \\\\\\\\
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- --log_dir $MODEL_NAME-finetune-iapp_thaiqa-log \\\\\\\\
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- --pad_on_right \\\\\\\\
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- --fp16
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-
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- export MODEL_NAME=bert-base-multilingual-cased
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- python train_question_answering_lm_finetuning.py \\\\\\\\
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- --model_name $MODEL_NAME \\\\\\\\
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- --dataset_name iapp_thaiqa \\\\\\\\
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- --output_dir $MODEL_NAME-finetune-iapp_thaiqa-model \\\\\\\\
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- --log_dir $MODEL_NAME-finetune-iapp_thaiqa-log \\\\\\\\
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- --pad_on_right \\\\\\\\
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  --fp16
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  ```
 
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  export WANDB_PROJECT=wangchanberta-qa
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  export MODEL_NAME=wangchanberta-base-att-spm-uncased
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+ python train_question_answering_lm_finetuning.py \
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+ --model_name $MODEL_NAME \
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+ --dataset_name iapp_thaiqa \
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+ --output_dir $MODEL_NAME-finetune-iapp_thaiqa-model \
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+ --log_dir $MODEL_NAME-finetune-iapp_thaiqa-log \
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+ --lowercase \
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+ --pad_on_right \
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  --fp16
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  ```