alihan/textattack-nlp-transformer
1
0
Fork 0
mirror of https://github.com/QData/TextAttack.git synced 2021-10-13 00:05:06 +03:00
Code Issues Projects Releases Wiki Activity
Files
278bb33b587a110d9cc64a37bf78d1d49b21c97c
textattack-nlp-transformer/textattack/models
History

README.md

TextAttack Model Zoo

More details at https://textattack.readthedocs.io/en/latest/3recipes/models.html

TextAttack includes pre-trained models for different common NLP tasks. This makes it easier for users to get started with TextAttack. It also enables a more fair comparison of attacks from the literature.

All evaluation results were obtained using textattack eval to evaluate models on their default test dataset (test set, if labels are available, otherwise, eval/validation set). You can use this command to verify the accuracies for yourself: for example, textattack eval --model roberta-base-mr.

The LSTM and wordCNN models' code is available in textattack.models.helpers. All other models are transformers imported from the transformers package. To list evaluate all TextAttack pretrained models, invoke textattack eval without specifying a model: textattack eval --num-examples 1000. All evaluations shown are on the full validation or test set up to 1000 examples.

LSTM

  • AG News (lstm-ag-news)
    • datasets dataset ag_news, split test
      • Successes: 914/1000
      • Accuracy: 91.4%
  • IMDB (lstm-imdb)
    • datasets dataset imdb, split test
      • Successes: 883/1000
      • Accuracy: 88.30%
  • Movie Reviews [Rotten Tomatoes] (lstm-mr)
    • datasets dataset rotten_tomatoes, split validation
      • Successes: 807/1000
      • Accuracy: 80.70%
    • datasets dataset rotten_tomatoes, split test
      • Successes: 781/1000
      • Accuracy: 78.10%
  • SST-2 (lstm-sst2)
    • datasets dataset glue, subset sst2, split validation
      • Successes: 737/872
      • Accuracy: 84.52%
  • Yelp Polarity (lstm-yelp)
    • datasets dataset yelp_polarity, split test
      • Successes: 922/1000
      • Accuracy: 92.20%

wordCNN

  • AG News (cnn-ag-news)
    • datasets dataset ag_news, split test
      • Successes: 910/1000
      • Accuracy: 91.00%
  • IMDB (cnn-imdb)
    • datasets dataset imdb, split test
      • Successes: 863/1000
      • Accuracy: 86.30%
  • Movie Reviews [Rotten Tomatoes] (cnn-mr)
    • datasets dataset rotten_tomatoes, split validation
      • Successes: 794/1000
      • Accuracy: 79.40%
    • datasets dataset rotten_tomatoes, split test
      • Successes: 768/1000
      • Accuracy: 76.80%
  • SST-2 (cnn-sst2)
    • datasets dataset glue, subset sst2, split validation
      • Successes: 721/872
      • Accuracy: 82.68%
  • Yelp Polarity (cnn-yelp)
    • datasets dataset yelp_polarity, split test
      • Successes: 913/1000
      • Accuracy: 91.30%

albert-base-v2

  • AG News (albert-base-v2-ag-news)
    • datasets dataset ag_news, split test
      • Successes: 943/1000
      • Accuracy: 94.30%
  • CoLA (albert-base-v2-cola)
    • datasets dataset glue, subset cola, split validation
      • Successes: 829/1000
      • Accuracy: 82.90%
  • IMDB (albert-base-v2-imdb)
    • datasets dataset imdb, split test
      • Successes: 913/1000
      • Accuracy: 91.30%
  • Movie Reviews [Rotten Tomatoes] (albert-base-v2-mr)
    • datasets dataset rotten_tomatoes, split validation
      • Successes: 882/1000
      • Accuracy: 88.20%
    • datasets dataset rotten_tomatoes, split test
      • Successes: 851/1000
      • Accuracy: 85.10%
  • Quora Question Pairs (albert-base-v2-qqp)
    • datasets dataset glue, subset qqp, split validation
      • Successes: 914/1000
      • Accuracy: 91.40%
  • Recognizing Textual Entailment (albert-base-v2-rte)
    • datasets dataset glue, subset rte, split validation
      • Successes: 211/277
      • Accuracy: 76.17%
  • SNLI (albert-base-v2-snli)
    • datasets dataset snli, split test
      • Successes: 883/1000
      • Accuracy: 88.30%
  • SST-2 (albert-base-v2-sst2)
    • datasets dataset glue, subset sst2, split validation
      • Successes: 807/872
      • Accuracy: 92.55%)
  • STS-b (albert-base-v2-stsb)
    • datasets dataset glue, subset stsb, split validation
    • Pearson correlation: 0.9041359738552746
    • Spearman correlation: 0.8995912861209745
  • WNLI (albert-base-v2-wnli)
    • datasets dataset glue, subset wnli, split validation
      • Successes: 42/71
      • Accuracy: 59.15%
  • Yelp Polarity (albert-base-v2-yelp)
    • datasets dataset yelp_polarity, split test
      • Successes: 963/1000
      • Accuracy: 96.30%

bert-base-uncased

  • AG News (bert-base-uncased-ag-news)
    • datasets dataset ag_news, split test
      • Successes: 942/1000
      • Accuracy: 94.20%
  • CoLA (bert-base-uncased-cola)
    • datasets dataset glue, subset cola, split validation
      • Successes: 812/1000
      • Accuracy: 81.20%
  • IMDB (bert-base-uncased-imdb)
    • datasets dataset imdb, split test
      • Successes: 919/1000
      • Accuracy: 91.90%
  • MNLI matched (bert-base-uncased-mnli)
    • datasets dataset glue, subset mnli, split validation_matched
      • Successes: 840/1000
      • Accuracy: 84.00%
  • Movie Reviews [Rotten Tomatoes] (bert-base-uncased-mr)
    • datasets dataset rotten_tomatoes, split validation
      • Successes: 876/1000
      • Accuracy: 87.60%
    • datasets dataset rotten_tomatoes, split test
      • Successes: 838/1000
      • Accuracy: 83.80%
  • MRPC (bert-base-uncased-mrpc)
    • datasets dataset glue, subset mrpc, split validation
      • Successes: 358/408
      • Accuracy: 87.75%
  • QNLI (bert-base-uncased-qnli)
    • datasets dataset glue, subset qnli, split validation
      • Successes: 904/1000
      • Accuracy: 90.40%
  • Quora Question Pairs (bert-base-uncased-qqp)
    • datasets dataset glue, subset qqp, split validation
      • Successes: 924/1000
      • Accuracy: 92.40%
  • Recognizing Textual Entailment (bert-base-uncased-rte)
    • datasets dataset glue, subset rte, split validation
      • Successes: 201/277
      • Accuracy: 72.56%
  • SNLI (bert-base-uncased-snli)
    • datasets dataset snli, split test
      • Successes: 894/1000
      • Accuracy: 89.40%
  • SST-2 (bert-base-uncased-sst2)
    • datasets dataset glue, subset sst2, split validation
      • Successes: 806/872
      • Accuracy: 92.43%)
  • STS-b (bert-base-uncased-stsb)
    • datasets dataset glue, subset stsb, split validation
    • Pearson correlation: 0.8775458937815515
    • Spearman correlation: 0.8773251339980935
  • WNLI (bert-base-uncased-wnli)
    • datasets dataset glue, subset wnli, split validation
      • Successes: 40/71
      • Accuracy: 56.34%
  • Yelp Polarity (bert-base-uncased-yelp)
    • datasets dataset yelp_polarity, split test
      • Successes: 963/1000
      • Accuracy: 96.30%

distilbert-base-cased

  • CoLA (distilbert-base-cased-cola)
    • datasets dataset glue, subset cola, split validation
      • Successes: 786/1000
      • Accuracy: 78.60%
  • MRPC (distilbert-base-cased-mrpc)
    • datasets dataset glue, subset mrpc, split validation
      • Successes: 320/408
      • Accuracy: 78.43%
  • Quora Question Pairs (distilbert-base-cased-qqp)
    • datasets dataset glue, subset qqp, split validation
      • Successes: 908/1000
      • Accuracy: 90.80%
  • SNLI (distilbert-base-cased-snli)
    • datasets dataset snli, split test
      • Successes: 861/1000
      • Accuracy: 86.10%
  • SST-2 (distilbert-base-cased-sst2)
    • datasets dataset glue, subset sst2, split validation
      • Successes: 785/872
      • Accuracy: 90.02%)
  • STS-b (distilbert-base-cased-stsb)
    • datasets dataset glue, subset stsb, split validation
    • Pearson correlation: 0.8421540899520146
    • Spearman correlation: 0.8407155030382939

distilbert-base-uncased

  • AG News (distilbert-base-uncased-ag-news)
    • datasets dataset ag_news, split test
      • Successes: 944/1000
      • Accuracy: 94.40%
  • CoLA (distilbert-base-uncased-cola)
    • datasets dataset glue, subset cola, split validation
      • Successes: 786/1000
      • Accuracy: 78.60%
  • IMDB (distilbert-base-uncased-imdb)
    • datasets dataset imdb, split test
      • Successes: 903/1000
      • Accuracy: 90.30%
  • MNLI matched (distilbert-base-uncased-mnli)
    • datasets dataset glue, subset mnli, split validation_matched
      • Successes: 817/1000
      • Accuracy: 81.70%
  • MRPC (distilbert-base-uncased-mrpc)
    • datasets dataset glue, subset mrpc, split validation
      • Successes: 350/408
      • Accuracy: 85.78%
  • QNLI (distilbert-base-uncased-qnli)
    • datasets dataset glue, subset qnli, split validation
      • Successes: 860/1000
      • Accuracy: 86.00%
  • Recognizing Textual Entailment (distilbert-base-uncased-rte)
    • datasets dataset glue, subset rte, split validation
      • Successes: 180/277
      • Accuracy: 64.98%
  • STS-b (distilbert-base-uncased-stsb)
    • datasets dataset glue, subset stsb, split validation
    • Pearson correlation: 0.8421540899520146
    • Spearman correlation: 0.8407155030382939
  • WNLI (distilbert-base-uncased-wnli)
    • datasets dataset glue, subset wnli, split validation
      • Successes: 40/71
      • Accuracy: 56.34%

roberta-base

  • AG News (roberta-base-ag-news)
    • datasets dataset ag_news, split test
      • Successes: 947/1000
      • Accuracy: 94.70%
  • CoLA (roberta-base-cola)
    • datasets dataset glue, subset cola, split validation
      • Successes: 857/1000
      • Accuracy: 85.70%
  • IMDB (roberta-base-imdb)
    • datasets dataset imdb, split test
      • Successes: 941/1000
      • Accuracy: 94.10%
  • Movie Reviews [Rotten Tomatoes] (roberta-base-mr)
    • datasets dataset rotten_tomatoes, split validation
      • Successes: 899/1000
      • Accuracy: 89.90%
    • datasets dataset rotten_tomatoes, split test
      • Successes: 883/1000
      • Accuracy: 88.30%
  • MRPC (roberta-base-mrpc)
    • datasets dataset glue, subset mrpc, split validation
      • Successes: 371/408
      • Accuracy: 91.18%
  • QNLI (roberta-base-qnli)
    • datasets dataset glue, subset qnli, split validation
      • Successes: 917/1000
      • Accuracy: 91.70%
  • Recognizing Textual Entailment (roberta-base-rte)
    • datasets dataset glue, subset rte, split validation
      • Successes: 217/277
      • Accuracy: 78.34%
  • SST-2 (roberta-base-sst2)
    • datasets dataset glue, subset sst2, split validation
      • Successes: 820/872
      • Accuracy: 94.04%)
  • STS-b (roberta-base-stsb)
    • datasets dataset glue, subset stsb, split validation
    • Pearson correlation: 0.906067852162708
    • Spearman correlation: 0.9025045272903051
  • WNLI (roberta-base-wnli)
    • datasets dataset glue, subset wnli, split validation
      • Successes: 40/71
      • Accuracy: 56.34%

xlnet-base-cased

  • CoLA (xlnet-base-cased-cola)
    • datasets dataset glue, subset cola, split validation
      • Successes: 800/1000
      • Accuracy: 80.00%
  • IMDB (xlnet-base-cased-imdb)
    • datasets dataset imdb, split test
      • Successes: 957/1000
      • Accuracy: 95.70%
  • Movie Reviews [Rotten Tomatoes] (xlnet-base-cased-mr)
    • datasets dataset rotten_tomatoes, split validation
      • Successes: 908/1000
      • Accuracy: 90.80%
    • datasets dataset rotten_tomatoes, split test
      • Successes: 876/1000
      • Accuracy: 87.60%
  • MRPC (xlnet-base-cased-mrpc)
    • datasets dataset glue, subset mrpc, split validation
      • Successes: 363/408
      • Accuracy: 88.97%
  • Recognizing Textual Entailment (xlnet-base-cased-rte)
    • datasets dataset glue, subset rte, split validation
      • Successes: 196/277
      • Accuracy: 70.76%
  • STS-b (xlnet-base-cased-stsb)
    • datasets dataset glue, subset stsb, split validation
    • Pearson correlation: 0.883111673280641
    • Spearman correlation: 0.8773439961182335
  • WNLI (xlnet-base-cased-wnli)
    • datasets dataset glue, subset wnli, split validation
      • Successes: 41/71
      • Accuracy: 57.75%