Relphormer baseline
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scripts/fb15k-237/fb15k-237.sh
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scripts/fb15k-237/fb15k-237.sh
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nohup python -u main.py --gpus "1" --max_epochs=16 --num_workers=32 \
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--model_name_or_path bert-base-uncased \
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--accumulate_grad_batches 1 \
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--model_class BertKGC \
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--batch_size 64 \
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--checkpoint /kg_374/Relphormer/pretrain/output/FB15k-237/epoch=15-step=19299-Eval/hits10=0.96.ckpt \
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--pretrain 0 \
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--bce 0 \
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--check_val_every_n_epoch 1 \
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--overwrite_cache \
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--data_dir dataset/FB15k-237 \
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--eval_batch_size 128 \
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--max_seq_length 128 \
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--lr 3e-5 \
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--max_triplet 64 \
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--add_attn_bias True \
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--use_global_node True \
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>logs/train_fb15k-237.log 2>&1 &
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