HH #fFA brain.Event:2R. ,tensorboard.summary.writer.event_file_writer/aQ`/# xFA*  hp_metricv5 ,xFA* _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 : K,xFA*  _hparams_/session_start_infoJ  hparams  balance_particles  " num_regression_layers @ " mask_sequence_vectors ?  learning_rate W1dm?  skip_connections ?  moe_loss_scale {Gz? num_experts_per_tok @  validation_file ! num_embedding_layers $@ # train_validation_split ffffff? J event_info_file75/data/spatop/event_files/v11/tt_hadronic_v7_full.yaml  dropout L? " assignment_loss_scale ?  l2_penalty -C6*?  balance_jets  num_detector_layers @ # num_jet_encoder_layers @ $ balance_classifications   usable_gpus % num_jet_embedding_layers   kl_loss_scale  $ linear_prelu_activation ?  num_experts  @ # pairwise_embedding_dim  @ " num_pairwise_features @ ( learning_rate_warmup_epochs ?  linear_activationgelu ( num_branch_embedding_layers @ transformer_activationgelu  partial_events ?  optimizerAdamW  limit_to_num_jets  combinatorial_scale   trial_time  batch_size @ num_attention_heads  @  num_encoder_layers @  verbose_output  H training_file75/data/spatop/tpm70_wpm30_FB350_training/all_merged.h5 ! detection_loss_scale ?  num_gpu ?  masking Filling  dataset_limit ? " regression_loss_scale   pairwise_input_source # position_embedding_dim p@  transformer_typeGated # num_dataloader_workers  @ & num_branch_encoder_layers @  focal_gamma   normalization  LayerNorm & use_pairwise_interactions   epochs Y@  testing_file  normalize_features ?  linear_block_typeGRU  limit_val_batches ?  transformer_dim p@ & num_classification_layers @ " dataset_randomization   use_moe   balance_losses ?  hidden_dim p@ ! learning_rate_cycles ?  gradient_clip $@ / "initial_embedding_skip_connections ?  combine_pair_lossmin & classification_loss_scale  & split_symmetric_attention ? $ use_mass_classification  # trial_output_dir ./test_output " initial_embedding_dim p@ " transformer_dim_scale @* L<ȷR e,xFA*1 / _hparams_/session_end_infoJ  hparams"fb