model: <class 'pyabsa.core.tad.classic.__bert__.models.tad_bert.TADBERT'>
optimizer: adamw
learning_rate: 1e-05
patience: 99999
pretrained_bert: bert-base-uncased
cache_dataset: False
warmup_step: -1
max_seq_len: 160
l2reg: 1e-05
num_epoch: 30
batch_size: 16
seed: 2791
log_step: 698
evaluate_begin: 0
cross_validate_fold: -1
hidden_dim: 768
dataset_name: AmazonBAE
dataset_file: {'train': ['integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.1.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.1.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.10.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.10.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.2.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.2.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.3.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.3.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.4.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.4.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.5.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.5.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.6.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.6.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.7.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.7.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.8.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.8.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.9.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/train.csv.dat.9.BAEGarg2019.org'], 'test': ['integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.1.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.1.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.10.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.10.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.2.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.2.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.3.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.3.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.4.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.4.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.5.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.5.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.6.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.6.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.7.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.7.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.8.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.8.BAEGarg2019.org', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.9.BAEGarg2019.adv', 'integrated_datasets/text_defense/306.Amazon_Review_Polarity10K/AmazonBAEGarg2019/test.csv.dat.9.BAEGarg2019.org'], 'valid': []}
device: cuda:0
auto_device: True
model_name: tadbert
MV: <metric_visualizer.metric_visualizer.MetricVisualizer object at 0x7fab293b4b80>
save_mode: 1
model_path_to_save: checkpoints
inputs_cols: ['text_bert_indices']
index_to_label: {-100: '-100', 0: '0', 1: '1'}
index_to_adv_train_label: {-100: '-100', 0: '0', 1: '1'}
index_to_is_adv: {0: '0', 1: '1'}
class_dim: 2
adv_det_dim: 2
metrics_of_this_checkpoint: {'acc': 0, 'f1': 0, 'max_cls_test_acc': 0.935967983991996, 'max_cls_test_f1': 0.9358678216233558, 'max_adv_det_test_acc': 0.8433903034530869, 'max_adv_det_test_f1': 0.7999495865678974, 'max_adv_tr_test_acc': 0.7900807381776482, 'max_adv_tr_test_f1': 0.783514065261055}
max_test_metrics: {'max_cls_test_acc': 0.9394697348674337, 'max_cls_test_f1': 0.9394221943391525, 'max_adv_det_test_acc': 0.8433903034530869, 'max_adv_det_test_f1': 0.7999495865678974, 'max_adv_tr_test_acc': 0.7900807381776482, 'max_adv_tr_test_f1': 0.783514065261055}
