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Bleu, Glue, BERT Score, WER, TER, CIDEr, ROUGE, METEOR

W4ngatang/download_glue_data.py

 

Script for downloading data of the GLUE benchmark (gluebenchmark.com)

Script for downloading data of the GLUE benchmark (gluebenchmark.com) - download_glue_data.py

gist.github.com

 

 

 

gcunhase/NLPMetrics

 

GitHub - gcunhase/NLPMetrics: Python code for various NLP metrics

Python code for various NLP metrics. Contribute to gcunhase/NLPMetrics development by creating an account on GitHub.

github.com

 

 

 

TASKS = ["CoLA", "SST", "MRPC", "QQP", "STS", "MNLI", "QNLI", "RTE", "WNLI", "diagnostic"]
TASK2PATH = {"CoLA":'https://dl.fbaipublicfiles.com/glue/data/CoLA.zip',
             "SST":'https://dl.fbaipublicfiles.com/glue/data/SST-2.zip',
             "QQP":'https://dl.fbaipublicfiles.com/glue/data/QQP-clean.zip',
             "STS":'https://dl.fbaipublicfiles.com/glue/data/STS-B.zip',
             "MNLI":'https://dl.fbaipublicfiles.com/glue/data/MNLI.zip',
             "QNLI":'https://dl.fbaipublicfiles.com/glue/data/QNLIv2.zip',
             "RTE":'https://dl.fbaipublicfiles.com/glue/data/RTE.zip',
             "WNLI":'https://dl.fbaipublicfiles.com/glue/data/WNLI.zip',
             "diagnostic":'https://dl.fbaipublicfiles.com/glue/data/AX.tsv'}

MRPC_TRAIN = 'https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'
MRPC_TEST = 'https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'

 

 

 

 

분류성능평가지표 - Precision(정밀도), Recall(재현율) and Accuracy(정확도)

 

분류성능평가지표 - Precision(정밀도), Recall(재현율) and Accuracy(정확도)

기계학습에서 모델이나 패턴의 분류 성능 평가에 사용되는 지표들을 다루겠습니다. 어느 모델이든 간에 발전을 위한 feedback은 현재 모델의 performance를 올바르게 평가하는 것에서부터 시작합니

sumniya.tistory.com

 

 










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