Update Scripts to HF

Author: Helw150

coqa_exp/eval_bert.sh

@@ -1,19 +1,18 @@
 export CUDA_VISIBLE_DEVICES=1
-#coqa CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_Multi
 
-for TRAIN_DIAL in coqa CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_IndE CoQA_Multi
+for TRAIN_DIAL in CoQA_SAE CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_IndE CoQA_Multi
 do
     for EVAL_DIAL in CoQA_SAE CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_IndE
     do
 	python3 run_coqa.py --model_type bert \
-		--model_name_or_path /data/wheld3/bert-$TRAIN_DIAL/ \
+		--model_name_or_path SALT-NLP/value-bert-$TRAIN_DIAL \
 		--do_eval \
 		--data_dir eval_data/$EVAL_DIAL/ \
 		--train_file coqa-train-v1.0.json \
 		--predict_file coqa-dev-v1.0.json \
 		--learning_rate 3e-5 \
 		--num_train_epochs 2 \
-		--output_dir /data/wheld3/bert-$TRAIN_DIAL-$EVAL_DIAL/ \
+		--output_dir ./bert-$TRAIN_DIAL-$EVAL_DIAL/ \
 		--do_lower_case \
 		--per_gpu_train_batch_size 8  \
 		--gradient_accumulation_steps 2 \

coqa_exp/eval_bert_adapters.sh

@@ -1,23 +1,22 @@
 export CUDA_VISIBLE_DEVICES=0
-#coqa CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_Multi
 
 for TRAIN_DIAL in coqa CoQA_AAVE CoQA_ChcE CoQA_IndE CoQA_Multi
 do
     for EVAL_DIAL in CoQA_ChcE CoQA_IndE
     do
 	python3 run_coqa.py --model_type bert \
-		--model_name_or_path /data/wheld3/bert-$TRAIN_DIAL/ \
+		--model_name_or_path SALT-NLP/value-bert-$TRAIN_DIAL \
 		--do_eval \
 		--data_dir gold_data/$EVAL_DIAL/ \
 		--train_file coqa-train-v1.0.json \
 		--predict_file coqa-dev-v1.0.json \
 		--learning_rate 3e-5 \
 		--num_train_epochs 2 \
-		--output_dir /data/wheld3/bert-$TRAIN_DIAL/ \
+		--output_dir ./bert-$TRAIN_DIAL/ \
 		--do_lower_case \
 		--per_gpu_train_batch_size 8  \
 		--gradient_accumulation_steps 2 \
 		--max_grad_norm -1 \
-		--weight_decay 0.01 >> /data/wheld3/bert-$TRAIN_DIAL/in_gold_dial_$EVAL_DIAL
+		--weight_decay 0.01 >> ./bert-$TRAIN_DIAL/in_gold_dial_$EVAL_DIAL
     done
 done

coqa_exp/eval_combined_bert.sh

@@ -1,24 +1,22 @@
 export CUDA_VISIBLE_DEVICES=2
 
-#coqa CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_Multi
-
-for TRAIN_DIAL in coqa CoQA_AAVE CoQA_ChcE CoQA_IndE CoQA_Multi
+for TRAIN_DIAL in CoQA_SAE CoQA_AAVE CoQA_ChcE CoQA_IndE CoQA_Multi
 do
     for EVAL_DIAL in CoQA_ChcE CoQA_IndE
     do
 	python3 run_coqa.py --model_type roberta \
-		--model_name_or_path /data/wheld3/roberta-$TRAIN_DIAL/ \
+		--model_name_or_path SALT-NLP/value-roberta-$TRAIN_DIAL \
 		--do_eval \
 		--data_dir gold_data/$EVAL_DIAL/ \
 		--train_file coqa-train-v1.0.json \
 		--predict_file coqa-dev-v1.0.json \
 		--learning_rate 3e-5 \
 		--num_train_epochs 2 \
-		--output_dir /data/wheld3/roberta-$TRAIN_DIAL/ \
+		--output_dir ./roberta-$TRAIN_DIAL/ \
 		--do_lower_case \
 		--per_gpu_train_batch_size 8  \
 		--gradient_accumulation_steps 2 \
 		--max_grad_norm -1 \
-		--weight_decay 0.01 >> /data/wheld3/roberta-$TRAIN_DIAL/in_gold_dial_$EVAL_DIAL
+		--weight_decay 0.01 >> ./roberta-$TRAIN_DIAL/in_gold_dial_$EVAL_DIAL
     done
 done

coqa_exp/eval_combined_roberta.sh

@@ -1,20 +1,18 @@
 export CUDA_VISIBLE_DEVICES=2
 
-#coqa CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_Multi
-
-for TRAIN_DIAL in coqa CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_IndE CoQA_Multi
+for TRAIN_DIAL in CoQA_SAE CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_IndE CoQA_Multi
 do
     for EVAL_DIAL in CoQA_SAE CoQA_AAVE CoQA_AppE CoQA_ChcE CoQA_CollSgE CoQA_IndE
     do
 	python3 run_coqa.py --model_type roberta \
-		--model_name_or_path /data/wheld3/roberta-$TRAIN_DIAL/ \
+		--model_name_or_path SALT-NLP/value-roberta-$TRAIN_DIAL \
 		--do_eval \
 		--data_dir eval_data/$EVAL_DIAL/ \
 		--train_file coqa-train-v1.0.json \
 		--predict_file coqa-dev-v1.0.json \
 		--learning_rate 3e-5 \
 		--num_train_epochs 2 \
-		--output_dir /data/wheld3/roberta-$TRAIN_DIAL-$EVAL_DIAL/ \
+		--output_dir ./roberta-$TRAIN_DIAL-$EVAL_DIAL/ \
 		--do_lower_case \
 		--per_gpu_train_batch_size 8  \
 		--gradient_accumulation_steps 2 \