HH /FLA brain.Event:2R. ,tensorboard.summary.writer.event_file_writerHQ`/# `A*  hp_metricP5 S?`A* _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> 9 : ?`A*  _hparams_/session_start_infoJ  hparams  usable_gpus  transformer_typeGated num_detector_layers @  pairwise_input_source $ use_mass_classification   num_experts  @ # num_dataloader_workers  @ " num_regression_layers @  focal_gamma   balance_particles  # trial_output_dir ./test_output & use_pairwise_interactions  / "initial_embedding_skip_connections ? " dataset_randomization   limit_to_num_jets  " mask_sequence_vectors ? ! learning_rate_cycles ?  linear_activationgelu  limit_val_batches ?  kl_loss_scale  & num_classification_layers @  gradient_clip $@ # pairwise_embedding_dim  @  learning_rate &b*3?  normalization  LayerNorm $ balance_classifications   num_encoder_layers @ $ linear_prelu_activation ? # train_validation_split ffffff?  linear_block_typeGRU  batch_size @  balance_losses ? ( num_branch_embedding_layers @ J event_info_file75/data/spatop/event_files/v11/tt_hadronic_v7_full.yaml ( learning_rate_warmup_epochs ?  normalize_features ?  testing_file transformer_activationgelu # position_embedding_dim p@ & num_branch_encoder_layers @  combine_pair_lossmin  num_gpu ? num_experts_per_tok @  use_moe   partial_events ? # num_jet_encoder_layers @  moe_loss_scale {Gz?  optimizerAdamW  epochs Y@  skip_connections ?  validation_file " initial_embedding_dim p@  transformer_dim p@ " num_pairwise_features @  hidden_dim p@ ! detection_loss_scale ? " regression_loss_scale   balance_jets  num_attention_heads  @ % num_jet_embedding_layers  & split_symmetric_attention ? & classification_loss_scale   masking Filling  dropout = ?  verbose_output   dataset_limit ? ! num_embedding_layers ,@ " transformer_dim_scale @  l2_penalty -C6*?  trial_time H training_file75/data/spatop/tpm70_wpm30_FB350_training/all_merged.h5 combinatorial_scale  " assignment_loss_scale ?w<ȷR ?`A*1 / _hparams_/session_end_infoJ  hparams"4E