| model: <class 'pyabsa.tasks.AspectTermExtraction.models.__lcf__.fast_lcf_atepc.FAST_LCF_ATEPC'> | |
| optimizer: adamw | |
| learning_rate: 2e-05 | |
| cache_dataset: True | |
| warmup_step: -1 | |
| use_bert_spc: True | |
| max_seq_len: 80 | |
| SRD: 3 | |
| use_syntax_based_SRD: False | |
| lcf: cdw | |
| dropout: 0.5 | |
| l2reg: 1e-05 | |
| num_epoch: 10 | |
| batch_size: 16 | |
| seed: 42 | |
| output_dim: 3 | |
| log_step: 10 | |
| patience: 3 | |
| gradient_accumulation_steps: 1 | |
| dynamic_truncate: True | |
| evaluate_begin: 5 | |
| use_amp: False | |
| cross_validate_fold: -1 | |
| pretrained_bert: bert-base-uncased | |
| verbose: True | |
| dataset: c:\Users\noob\Documents\gitProjects\mtadoXNLP\cybersecurity_absa\data\custom_cybersecurity_atepc | |
| from_checkpoint: None | |
| checkpoint_save_mode: 1 | |
| auto_device: True | |
| path_to_save: None | |
| load_aug: False | |
| device: cpu | |
| device_name: Unknown | |
| model_name: fast_lcf_atepc | |
| hidden_dim: 768 | |
| PyABSAVersion: 2.4.2 | |
| TransformersVersion: 4.56.2 | |
| TorchVersion: 2.8.0+cpu+cudaNone | |
| dataset_name: custom_dataset | |
| save_mode: 1 | |
| logger: <Logger fast_lcf_atepc (INFO)> | |
| task_code: ATEPC | |
| task_name: Aspect Term Extraction and Polarity Classification | |
| dataset_file: {'train': ['cybersecurity_absa\\data\\custom_cybersecurity_atepc\\train.dat.atepc'], 'test': ['cybersecurity_absa\\data\\custom_cybersecurity_atepc\\test.dat.atepc'], 'valid': ['.git\\hooks\\sendemail-validate.sample', 'cybersecurity_absa\\data\\custom_cybersecurity_atepc\\valid.dat.atepc']} | |
| model_path_to_save: checkpoints | |
| spacy_model: en_core_web_sm | |
| IOB_label_to_index: {'B-ASP': 1, 'I-ASP': 2, 'O': 3, '[CLS]': 4, '[SEP]': 5} | |
| index_to_label: {0: '-1', 1: '0', 2: '1'} | |
| label_list: ['B-ASP', 'I-ASP', 'O', '[CLS]', '[SEP]'] | |
| num_labels: 6 | |
| sep_indices: 102 | |
| max_test_metrics: {'max_apc_test_acc': 65.23, 'max_apc_test_f1': 41.24, 'max_ate_test_f1': 91.84} | |
| metrics_of_this_checkpoint: {'apc_acc': 65.23, 'apc_f1': 41.24, 'ate_f1': 90.57} | |