HH ZA brain.Event:2R. ,tensorboard.summary.writer.event_file_writerVG`/# "A*  hp_metric7_5 I^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_metricң : ^A*  _hparams_/session_start_infoJ  hparams # train_validation_split ffffff?  balance_losses ? " transformer_dim_scale @ ( num_branch_embedding_layers @  partial_events ?  moe_loss_scale {Gz?  balance_particles  " mask_sequence_vectors ?  limit_to_num_jets  " num_pairwise_features @  transformer_typeGated  optimizerAdamW  transformer_dim 6@ # num_dataloader_workers  @ & use_pairwise_interactions   verbose_output  " dataset_randomization   masking Filling  validation_file  limit_val_batches ? # num_jet_encoder_layers @ " regression_loss_scale  # pairwise_embedding_dim  @  use_moe  num_experts_per_tok @  linear_block_typeGRU ! num_embedding_layers $@ ! learning_rate_cycles ? ! detection_loss_scale ?  l2_penalty -C6*? % num_jet_embedding_layers   usable_gpus  linear_activationgelu & num_branch_encoder_layers @  focal_gamma  # trial_output_dir ./test_output  epochs @@ & num_classification_layers @  combine_pair_lossmin  testing_file  pairwise_input_source combinatorial_scale  / "initial_embedding_skip_connections ? $ use_mass_classification  " num_regression_layers @ & split_symmetric_attention ?  dataset_limit ?  normalization  LayerNorm  num_gpu ?  skip_connections ? " initial_embedding_dim (@ $ balance_classifications  ( learning_rate_warmup_epochs ?  num_encoder_layers @  balance_jets   normalize_features ?  kl_loss_scale   hidden_dim 6@ num_detector_layers @ transformer_activationgelu  learning_rate -C6:? " assignment_loss_scale ?  dropout ? H training_file75/data/spatop/tpm70_wpm30_FB350_training/all_merged.h5  trial_time # position_embedding_dim (@  num_experts  @ & classification_loss_scale  $ linear_prelu_activation ? num_attention_heads @  batch_size @  gradient_clip $@ J event_info_file75/data/spatop/event_files/v11/tt_hadronic_v7_full.yamleX<ȷR _A*1 / _hparams_/session_end_infoJ  hparams"/0