project_dir: null name: SelfAlignmentPretrainingForMedicalEntityLinking trainer: devices: 1 num_nodes: 1 max_epochs: 2 max_steps: -1 accumulate_grad_batches: 1 precision: 16 accelerator: gpu strategy: ddp gradient_clip_val: 0.0 log_every_n_steps: 1 val_check_interval: 2 enable_checkpointing: False logger: false model: nemo_path: ??? max_seq_length: 128 language_model: pretrained_model_name: bert-base-uncased config_file: null config: null lm_checkpoint: null tokenizer: tokenizer_name: ${model.language_model.pretrained_model_name} vocab_file: null tokenizer_model: null do_lower_case: true loss_params: null train_ds: data_file: ??? max_seq_length: ${model.max_seq_length} batch_size: 8 shuffle: true num_workers: 2 pin_memory: false drop_last: false validation_ds: data_file: ??? max_seq_length: ${model.max_seq_length} batch_size: 8 shuffle: false num_workers: 2 pin_memory: false drop_last: false optim: name: adam lr: 3.0e-05 weight_decay: 0.0 sched: name: CosineAnnealing warmup_steps: null warmup_ratio: 0.1 min_lr: 0.0 last_epoch: -1 index: dims: 768 nlist: 2 top_n: 3 query_num_factor: 20 index_save_name: ??? index_batch_size: 10 index_ds: name: tiny_example data_file: ??? max_seq_length: ${model.max_seq_length} batch_size: 100 shuffle: false num_workers: 2 pin_memory: false drop_last: false idx_to_id: ${project_dir}/idx_to_id.pkl id_to_string: ${project_dir}/id_to_string.pkl concept_id_save_name: ${project_dir}/tiny_example_concept_ids.pkl embedding_save_name: ${project_dir}/tiny_example_concept_embeddings.hdf5 pca_embeddings_save_name: null apply_pca: false pca: null exp_manager: exp_dir: . name: ${project_dir}/SelfAlignmentPretrainingTinyExample create_tensorboard_logger: true create_checkpoint_callback: true hydra: run: dir: . job_logging: root: handlers: null