| train_dataset_path: "data/reader/bio-rel/train.en.relik.sent.re.el_orig.candidates,jsonl" | |
| val_dataset_path: "data/reader/bio-rel/dev.en.relik.sent.re.el_orig.candidates,jsonl" | |
| test_dataset_path: "data/reader/bio-rel/test.en.relik.sent.re.el_orig.candidates,jsonl" | |
| train_dataset: | |
| _target_: "relik.reader.data.relik_reader_re_data.RelikREDataset" | |
| transformer_model: "${model.model.transformer_model}" | |
| materialize_samples: False | |
| shuffle_candidates: False | |
| flip_candidates: 1.0 | |
| noise_param: 0.0 | |
| for_inference: False | |
| tokens_per_batch: 4096 | |
| max_length: 1024 | |
| max_triplets: 16 | |
| max_spans: | |
| min_length: -1 | |
| special_symbols: null | |
| special_symbols_types: null | |
| section_size: 1000000 | |
| use_nme: False | |
| sorting_fields: | |
| - "predictable_candidates" | |
| val_dataset: | |
| _target_: "relik.reader.data.relik_reader_re_data.RelikREDataset" | |
| transformer_model: "${model.model.transformer_model}" | |
| materialize_samples: False | |
| shuffle_candidates: False | |
| flip_candidates: False | |
| for_inference: True | |
| use_nme: False | |
| max_triplets: 16 | |
| max_spans: | |
| min_length: -1 | |
| special_symbols: null | |
| special_symbols_types: null | |