HH A brain.Event:2R. ,tensorboard.summary.writer.event_file_writer`/# ;A*  hp_metric[Ú5 pA* _hparams_/experimentJ hparams  " hidden_dim " transformer_dim " transformer_dim_scale " initial_embedding_dim " position_embedding_dim " num_embedding_layers " num_encoder_layers " num_branch_embedding_layers " num_branch_encoder_layers " num_jet_embedding_layers " num_jet_encoder_layers " num_detector_layers " num_regression_layers " num_classification_layers " split_symmetric_attention " num_attention_heads " transformer_activation " skip_connections "& "initial_embedding_skip_connections " linear_block_type " transformer_type " linear_activation " normalization " masking " linear_prelu_activation " use_pairwise_interactions " num_pairwise_features " pairwise_embedding_dim " pairwise_input_source " use_moe " num_experts " num_experts_per_tok " moe_loss_scale " event_info_file " training_file " validation_file " testing_file " normalize_features " limit_to_num_jets " balance_particles " balance_jets " balance_classifications " partial_events " dataset_limit " dataset_randomization " train_validation_split " limit_val_batches " batch_size " num_dataloader_workers " mask_sequence_vectors " combine_pair_loss " optimizer " learning_rate " focal_gamma " combinatorial_scale " learning_rate_warmup_epochs " learning_rate_cycles " assignment_loss_scale " detection_loss_scale " kl_loss_scale " regression_loss_scale " classification_loss_scale " use_mass_classification " balance_losses " l2_penalty " gradient_clip " dropout " epochs " num_gpu " verbose_output " usable_gpus " trial_time " trial_output_dir *  hp_metric : FqA*  _hparams_/session_start_infoJ  hparams  testing_file  pairwise_input_source # pairwise_embedding_dim  @ # train_validation_split ffffff? " num_pairwise_features @ " regression_loss_scale  num_attention_heads @  transformer_dim 6@  hidden_dim 6@ $ balance_classifications   num_experts  @ ( num_branch_embedding_layers @ & use_pairwise_interactions   balance_losses ?  trial_time  batch_size @ combinatorial_scale   num_encoder_layers @  focal_gamma   usable_gpus  optimizerAdamW / "initial_embedding_skip_connections ? & num_classification_layers @  limit_to_num_jets  " dataset_randomization   validation_file $ linear_prelu_activation ?  kl_loss_scale   verbose_output   use_moe  " assignment_loss_scale ? # num_jet_encoder_layers @ & classification_loss_scale   l2_penalty -C6*? # trial_output_dir ./test_output # position_embedding_dim (@ ! num_embedding_layers $@  linear_block_typeGRU transformer_activationgelu  masking Filling  skip_connections ? num_experts_per_tok @ & split_symmetric_attention ?  balance_jets   partial_events ?  combine_pair_lossmin  epochs @@  balance_particles   dropout ?  learning_rate -C6:? J event_info_file75/data/spatop/event_files/v11/tt_hadronic_v7_full.yaml " initial_embedding_dim (@ # num_dataloader_workers  @  normalize_features ? num_detector_layers @  limit_val_batches ? $ use_mass_classification   gradient_clip $@ " num_regression_layers @ " mask_sequence_vectors ? & num_branch_encoder_layers @  moe_loss_scale {Gz? H training_file75/data/spatop/tpm70_wpm30_FB350_training/all_merged.h5 ! learning_rate_cycles ?  transformer_typeGated  normalization  LayerNorm % num_jet_embedding_layers  " transformer_dim_scale @ ( learning_rate_warmup_epochs ?  linear_activationgelu  num_gpu ?  dataset_limit ? ! detection_loss_scale ?,=<ȷR yqA*1 / _hparams_/session_end_infoJ  hparams"rSz