| save_dir: save_results/ | |
| data_dir: data/OIE2016(processed)/constituent_model/ | |
| train_file: train.json | |
| dev_file: dev.json | |
| test_file: test.json | |
| ent_rel_file: data/ent_rel_file.json | |
| max_sent_len: 512 | |
| max_wordpiece_len: 512 | |
| embedding_model: pretrained | |
| pretrained_model_name: bert-base-uncased | |
| mlp_hidden_size: 150 | |
| max_span_length: 10 | |
| dropout: 0.4 | |
| logit_dropout: 0.2 | |
| bert_model_name: bert-base-uncased | |
| bert_output_size: 0 | |
| bert_dropout: 0.0 | |
| separate_threshold: 1.2 | |
| gradient_clipping: 5.0 | |
| learning_rate: 5e-5 | |
| bert_learning_rate: 5e-5 | |
| lr_decay_rate: 0.9 | |
| adam_beta1: 0.9 | |
| adam_beta2: 0.9 | |
| adam_epsilon: 1e-12 | |
| adam_weight_decay_rate: 1e-5 | |
| adam_bert_weight_decay_rate: 1e-5 | |
| seed: 5216 | |
| epochs: 300 | |
| pretrain_epochs: 10 | |
| warmup_rate: 0.2 | |
| early_stop: 30 | |
| train_batch_size: 32 | |
| test_batch_size: 32 | |
| gradient_accumulation_steps: 1 | |
| logging_steps: 32 | |
| validate_every: 4032 | |
| device: 0 | |
| log_file: constituent_model_train.log | |