Trying to reproduce for SemEval 2014

HSLCY / ABSA-BERT-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

https://www.aclweb.org/anthology/N19-1035

MIT License

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Trying to reproduce for SemEval 2014 #17

Open azamatolegen opened 4 years ago

azamatolegen commented 4 years ago

Great article! Thank you for publishing the code!

I am following your steps and on step 3 when I run the code for semeval_NLI_M I got this error:

could you please help to figure this out? I am using mBERT model.

azamatolegen commented 4 years ago

the code I am running is:

CUDA_VISIBLE_DEVICES=0,1,2,3 python run_classifier_TABSA.py --task_name semeval_NLI_M --data_dir data/semeval2014/bert-pair/ --vocab_file mBERT/vocab.txt --bert_config_file mBERT/config.json --init_checkpoint mBERT/pytorch_model.bin --eval_test --do_lower_case --max_seq_length 128 --train_batch_size 4 --learning_rate 5e-5 --num_train_epochs 2.0 --output_dir results/semeavl2014/NLI_M --seed 42

sunny678 commented 4 years ago

Maybe you should check the differences between mBERT and BERT-base and modify the 'convert_tf_checkpoint_to_pytorch.py' file if necessary.

GPU memory related issues reference: https://github.com/HSLCY/ABSA-BERT-pair/issues/1