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Commit2efc5ff

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57 files changed

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‎scripts/10/0.sh

Lines changed: 6 additions & 13 deletions
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device="cuda:0"
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foriin0 1 2;do
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formodel_nameinstudio-ousia/luke-japanese-large-lite studio-ousia/luke-japanese-base-lite;do
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forlrin1e-5 3e-5 5e-5;do
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forbatch_sizein512;do
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formodel_nameinnlp-waseda/roberta-large-japanese ku-nlp/deberta-v2-large-japanese;do
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forlrin1e-5 3e-5 5e-5;do
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forbatch_sizein64 128 256 512;do
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fordataset_nameinnu-snli nu-mnli nu-snli+mnli;do
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poetry run python src/train_sup.py \
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--dataset_namejsnli+nu-snli \
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--dataset_name$dataset_name \
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--model_name$model_name \
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--batch_size$batch_size \
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--lr$lr \
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--use_jumanpp \
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--gradient_checkpointing \
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--device$device
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done
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forbatch_sizein 256 128 64;do
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poetry run python src/train_sup.py \
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--dataset_name jsnli+nu-snli \
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--model_name$model_name \
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--batch_size$batch_size \
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--lr$lr \
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--device$device
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done
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done
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done
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done

‎scripts/10/1.sh

Lines changed: 5 additions & 13 deletions
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device="cuda:1"
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foriin0 1 2;do
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formodel_nameincl-tohoku/bert-large-japanese ku-nlp/roberta-large-japanese-char-wwm;do
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forlrin1e-5 3e-5 5e-5;do
6-
forbatch_sizein512;do
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formodel_nameinstudio-ousia/mluke-large-lite xlm-roberta-large;do
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forlrin1e-5 3e-5 5e-5;do
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forbatch_sizein64 128 256 512;do
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fordataset_nameinnu-snli nu-mnli nu-snli+mnli;do
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poetry run python src/train_sup.py \
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--dataset_namejsnli+nu-snli \
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--dataset_name$dataset_name \
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--model_name$model_name \
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--batch_size$batch_size \
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--lr$lr \
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--gradient_checkpointing \
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--device$device
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done
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forbatch_sizein 256 128 64;do
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poetry run python src/train_sup.py \
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--dataset_name jsnli+nu-snli \
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--model_name$model_name \
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--batch_size$batch_size \
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--lr$lr \
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--device$device
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done
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done
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done
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done

‎scripts/10/2.sh

Lines changed: 5 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -1,27 +1,17 @@
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device="cuda:2"
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3-
foriin0 1 2;do
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formodel_nameinnlp-waseda/roberta-large-japanese ku-nlp/deberta-v2-large-japanese;do
5-
forlrin1e-5 3e-5 5e-5;do
6-
forbatch_sizein512;do
3+
formodel_nameincl-tohoku/bert-large-japanese studio-ousia/luke-japanese-large-lite;do
4+
forlrin1e-5 3e-5 5e-5;do
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forbatch_sizein64 128 256 512;do
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fordataset_nameinnu-snli nu-mnli nu-snli+mnli;do
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poetry run python src/train_sup.py \
8-
--dataset_namejsnli+nu-snli \
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--dataset_name$dataset_name \
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--model_name$model_name \
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--batch_size$batch_size \
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--lr$lr \
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--use_jumanpp \
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--gradient_checkpointing \
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--device$device
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done
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forbatch_sizein 256 128 64;do
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poetry run python src/train_sup.py \
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--dataset_name jsnli+nu-snli \
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--model_name$model_name \
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--batch_size$batch_size \
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--lr$lr \
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--use_jumanpp \
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--device$device
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done
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done
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done
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done

‎scripts/10/3.sh

Lines changed: 5 additions & 13 deletions
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device="cuda:3"
22

3-
foriin0 1 2;do
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formodel_nameinxlm-roberta-large studio-ousia/mluke-large-lite;do
5-
forlrin1e-5 3e-5 5e-5;do
6-
forbatch_sizein512;do
3+
formodel_nameinku-nlp/roberta-large-japanese-char-wwm cl-tohoku/bert-base-japanese-char-v2;do
4+
forlrin1e-5 3e-5 5e-5;do
5+
forbatch_sizein64 128 256 512;do
6+
fordataset_nameinnu-snli nu-mnli nu-snli+mnli;do
77
poetry run python src/train_sup.py \
8-
--dataset_namejsnli+nu-snli \
8+
--dataset_name$dataset_name \
99
--model_name$model_name \
1010
--batch_size$batch_size \
1111
--lr$lr \
1212
--gradient_checkpointing \
1313
--device$device
1414
done
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forbatch_sizein 256 128 64;do
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poetry run python src/train_sup.py \
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--dataset_name jsnli+nu-snli \
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--model_name$model_name \
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--batch_size$batch_size \
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--lr$lr \
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--device$device
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done
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done
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done
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done

‎scripts/10/prev/2023-03-21/0.sh

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device="cuda:0"
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foriin 0 1 2;do
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formodel_namein studio-ousia/luke-japanese-large-lite studio-ousia/luke-japanese-base-lite;do
5+
forlrin 1e-5 3e-5 5e-5;do
6+
forbatch_sizein 512;do
7+
poetry run python src/train_sup.py \
8+
--dataset_name jsnli+nu-snli \
9+
--model_name$model_name \
10+
--batch_size$batch_size \
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--lr$lr \
12+
--gradient_checkpointing \
13+
--device$device
14+
done
15+
forbatch_sizein 256 128 64;do
16+
poetry run python src/train_sup.py \
17+
--dataset_name jsnli+nu-snli \
18+
--model_name$model_name \
19+
--batch_size$batch_size \
20+
--lr$lr \
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--device$device
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done
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done
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done
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done

‎scripts/10/prev/2023-03-21/1.sh

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device="cuda:1"
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foriin 0 1 2;do
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formodel_namein cl-tohoku/bert-large-japanese ku-nlp/roberta-large-japanese-char-wwm;do
5+
forlrin 1e-5 3e-5 5e-5;do
6+
forbatch_sizein 512;do
7+
poetry run python src/train_sup.py \
8+
--dataset_name jsnli+nu-snli \
9+
--model_name$model_name \
10+
--batch_size$batch_size \
11+
--lr$lr \
12+
--gradient_checkpointing \
13+
--device$device
14+
done
15+
forbatch_sizein 256 128 64;do
16+
poetry run python src/train_sup.py \
17+
--dataset_name jsnli+nu-snli \
18+
--model_name$model_name \
19+
--batch_size$batch_size \
20+
--lr$lr \
21+
--device$device
22+
done
23+
done
24+
done
25+
done

‎scripts/10/prev/2023-03-21/2.sh

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device="cuda:2"
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foriin 0 1 2;do
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formodel_namein nlp-waseda/roberta-large-japanese ku-nlp/deberta-v2-large-japanese;do
5+
forlrin 1e-5 3e-5 5e-5;do
6+
forbatch_sizein 512;do
7+
poetry run python src/train_sup.py \
8+
--dataset_name jsnli+nu-snli \
9+
--model_name$model_name \
10+
--batch_size$batch_size \
11+
--lr$lr \
12+
--use_jumanpp \
13+
--gradient_checkpointing \
14+
--device$device
15+
done
16+
forbatch_sizein 256 128 64;do
17+
poetry run python src/train_sup.py \
18+
--dataset_name jsnli+nu-snli \
19+
--model_name$model_name \
20+
--batch_size$batch_size \
21+
--lr$lr \
22+
--use_jumanpp \
23+
--device$device
24+
done
25+
done
26+
done
27+
done

‎scripts/10/prev/2023-03-21/3.sh

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device="cuda:3"
2+
3+
foriin 0 1 2;do
4+
formodel_namein xlm-roberta-large studio-ousia/mluke-large-lite;do
5+
forlrin 1e-5 3e-5 5e-5;do
6+
forbatch_sizein 512;do
7+
poetry run python src/train_sup.py \
8+
--dataset_name jsnli+nu-snli \
9+
--model_name$model_name \
10+
--batch_size$batch_size \
11+
--lr$lr \
12+
--gradient_checkpointing \
13+
--device$device
14+
done
15+
forbatch_sizein 256 128 64;do
16+
poetry run python src/train_sup.py \
17+
--dataset_name jsnli+nu-snli \
18+
--model_name$model_name \
19+
--batch_size$batch_size \
20+
--lr$lr \
21+
--device$device
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done
23+
done
24+
done
25+
done

‎scripts/11/0.sh

Lines changed: 6 additions & 21 deletions
Original file line numberDiff line numberDiff line change
@@ -1,30 +1,15 @@
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device="cuda:0"
22

3-
foriin0 1 2;do
4-
formodel_nameinstudio-ousia/luke-japanese-large-lite studio-ousia/luke-japanese-base-lite;do
5-
forbatch_sizein 512;do
6-
forlrin5e-5 3e-5 1e-5;do
3+
formodel_nameinnlp-waseda/roberta-large-japanese ku-nlp/deberta-v2-large-japanese;do
4+
forlrin1e-5 3e-5 5e-5;do
5+
forbatch_sizein64 128 256512;do
6+
fordataset_nameinnu-snli nu-mnli nu-snli+mnli;do
77
poetry run python src/train_sup.py \
8-
--dataset_name jsnli \
9-
--model_name$model_name \
10-
--batch_size$batch_size \
11-
--lr$lr \
12-
--gradient_checkpointing \
13-
--device$device
14-
15-
poetry run python src/train_sup.py \
16-
--dataset_name nu-snli \
17-
--model_name$model_name \
18-
--batch_size$batch_size \
19-
--lr$lr \
20-
--gradient_checkpointing \
21-
--device$device
22-
23-
poetry run python src/train_sup.py \
24-
--dataset_name nu-snli+mnli \
8+
--dataset_name$dataset_name \
259
--model_name$model_name \
2610
--batch_size$batch_size \
2711
--lr$lr \
12+
--use_jumanpp \
2813
--gradient_checkpointing \
2914
--device$device
3015
done

‎scripts/11/1.sh

Lines changed: 5 additions & 21 deletions
Original file line numberDiff line numberDiff line change
@@ -1,27 +1,11 @@
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device="cuda:1"
22

3-
foriin0 1 2;do
4-
formodel_nameincl-tohoku/bert-large-japanese ku-nlp/roberta-large-japanese-char-wwm;do
5-
forbatch_sizein 512;do
6-
forlrin5e-5 3e-5 1e-5;do
3+
formodel_nameinstudio-ousia/mluke-large-lite xlm-roberta-large;do
4+
forlrin1e-5 3e-5 5e-5;do
5+
forbatch_sizein64 128 256512;do
6+
fordataset_nameinnu-snli nu-mnli nu-snli+mnli;do
77
poetry run python src/train_sup.py \
8-
--dataset_name jsnli \
9-
--model_name$model_name \
10-
--batch_size$batch_size \
11-
--lr$lr \
12-
--gradient_checkpointing \
13-
--device$device
14-
15-
poetry run python src/train_sup.py \
16-
--dataset_name nu-snli \
17-
--model_name$model_name \
18-
--batch_size$batch_size \
19-
--lr$lr \
20-
--gradient_checkpointing \
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--device$device
22-
23-
poetry run python src/train_sup.py \
24-
--dataset_name nu-snli+mnli \
8+
--dataset_name$dataset_name \
259
--model_name$model_name \
2610
--batch_size$batch_size \
2711
--lr$lr \

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