Update README.md

README.md

@@ -5,18 +5,16 @@ widget:
 ---
 # wangchanberta-base-att-spm-uncased-finetune-qa
 
-Finetuning `wangchanberta-base-att-spm-uncased` with the training set of `iapp_wiki_qa_squad` and `thaiqa` (removed examples which have cosine similarity with validation and test examples over 0.8). Benchmarks shared on [wandb](https://wandb.ai/cstorm125/wangchanberta-qa) using validation and test sets of `iapp_wiki_qa_squad`.
-
-Trained with [thai2transformers](https://github.com/vistec-AI/thai2transformers/blob/dev/scripts/downstream/train_question_answering_lm_finetuning.py).
+Finetuning `airesearch/wangchanberta-base-att-spm-uncased` with the training set of `iapp_wiki_qa_squad`, `thaiqa`, `xquad` (removed examples which have cosine similarity with validation and test examples over 0.8). Benchmarks shared on [wandb](https://wandb.ai/cstorm125/wangchanberta-qa) using validation and test sets of `iapp_wiki_qa_squad`.
+Trained with [thai2transformers](https://github.com/vistec-AI/thai2transformers/blob/dev/scripts/downstream/train_question_answering_lm_finetuning.py). Combined benchmark datasets downloadable at [vistec-ai/thai2transformers](https://github.com/vistec-AI/thai2transformers/releases/tag/qa-v0.2).
+Run with:
 ```
-export WANDB_PROJECT=wangchanberta-qa
-
-export MODEL_NAME=wangchanberta-base-att-spm-uncased
+export MODEL_NAME=airesearch/wangchanberta-base-att-spm-uncased
 python train_question_answering_lm_finetuning.py \
   --model_name $MODEL_NAME \
-  --dataset_name iapp_thaiqa \
-  --output_dir $MODEL_NAME-finetune-iapp_thaiqa-model \
-  --log_dir $MODEL_NAME-finetune-iapp_thaiqa-log \
+  --dataset_name iapp_thaiqa_xquad \
+  --output_dir $MODEL_NAME-finetune-iapp_thaiqa_xquad-model \
+  --log_dir $MODEL_NAME-finetune-iapp_thaiqa_xquad-log \
   --lowercase \
   --pad_on_right \
   --fp16