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lit-ie's Introduction

Lit-IE

A easy-to-use library for information extraction based on pytorch and lightning

Requirements

python3.8+
torch2+
lightning2+
transformers

Datasets

Examples

Train & Test

# do train/validate/test
CUDA_VISIBLE_DEVICES=0 python examples/example_CLUENER_GP.py fit \
--model.pretrained_model_name_or_path bert-base-chinese \
--data.train_data_path data/CLUENER/train.json \
--data.val_data_path data/CLUENER/dev.json \
--data.test_data_path data/CLUENER/test.json \
--data.train_batch_size 16 \
--data.eval_batch_size 64 \
--data.max_length 512 \
--trainer.max_epochs 10 \
--trainer.accumulate_grad_batches 1 \
--trainer.precision bf16-mixed \
--trainer.num_sanity_val_steps 0 \
--trainer.logger TensorBoardLogger \
--trainer.logger.save_dir checkpoints/CLUENER_GP \
--model_checkpoint.dirpath checkpoints/CLUENER_GP

# do test
CUDA_VISIBLE_DEVICES=0 python examples/example_CLUENER_GP.py test \
--model.pretrained_model_name_or_path bert-base-chinese \
--data.test_data_path data/CLUENER/test.json \
--data.eval_batch_size 16 \
--data.max_length 512 \
--trainer.precision bf16-mixed \
--model_checkpoint.dirpath  /dev/null \
--model.out_file_path cluener.json \
--ckpt_path PATH_TO_YOUR_CKPT_FILE

CLUENER2020

Model macro-p macro-r macro-f1 micro-p micro-r micro-f1
bert-base + Linear 0.7655 0.8019 0.7827 0.7595 0.8027 0.7805
bert-base + CRF 0.7829 0.8003 0.7910 0.7778 0.8066 0.7919
bert-base + GP 0.7910 0.8037 0.7967 0.7833 0.8047 0.7938
bert-base + eGP 0.8043 0.7959 0.7991 0.7977 0.8008 0.7992

CMeEE-V2

Model macro-p macro-r macro-f1 micro-p micro-r micro-f1
bert-base + Linear 0.6567 0.6737 0.6600 0.6807 0.6297 0.6542
bert-base + CRF 0.6520 0.6649 0.6543 0.6762 0.6294 0.6520
bert-base + GP 0.7457 0.7153 0.7293 0.7612 0.7212 0.7407
bert-base + eGP 0.7111 0.7481 0.7272 0.7386 0.7439 0.7413

CMeIE-V2

Model macro-p macro-r macro-f1 micro-p micro-r micro-f1
bert-base + GP 0.5101 0.2731 0.3557 0.6206 0.3790 0.4706
bert-base + eGP 0.4715 0.2855 0.3557 0.6056 0.3979 0.4802

AIStudio-Information Extraction

Baseline: roberta-wwm-ext + GP

Dev macro-p macro-r macro-f1 micro-p micro-r micro-f1
DuIE-V2 0.7772 0.6792 0.7249 0.8014 0.7327 0.7655
Dev arg-macro-p arg-macro-r arg-macro-f1 arg-micro-p arg-micro-r arg-micro-f1 event-macro-p event-macro-r event-macro-f1 event-micro-p event-micro-r event-micro-f1
DuEEv1 0.6989 0.4499 0.5474 0.8041 0.5952 0.6840 0.3010 0.3221 0.3112 0.3608 0.3853 0.3726
DuEE-fin 0.7672 0.6409 0.6984 0.8415 0.7410 0.7881 0.2108 0.2684 0.2362 0.2194 0.3229 0.2613

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