HH YIFA brain.Event:2R. ,tensorboard.summary.writer.event_file_writer;n`/# kFA*  hp_metricN5 ZFA* _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_metric1!L : FA*  _hparams_/session_start_infoJ  hparams " dataset_randomization  num_experts_per_tok @ % num_jet_embedding_layers   normalization  LayerNorm  gradient_clip $@ # train_validation_split ffffff?  batch_size @  focal_gamma  ! detection_loss_scale ? " assignment_loss_scale ?  combine_pair_lossmin  l2_penalty -C6*? # num_dataloader_workers  @  num_encoder_layers @  testing_file num_detector_layers @  linear_activationgelu " initial_embedding_dim `@ # pairwise_embedding_dim  @  moe_loss_scale {Gz?  num_experts  @  num_gpu ?  transformer_typeGated combinatorial_scale   transformer_dim `@  trial_time transformer_activationgelu  learning_rate OG?  dropout o\?  normalize_features ?  balance_losses ?  skip_connections ?  balance_jets  ! learning_rate_cycles ? & num_branch_encoder_layers @  pairwise_input_source  use_moe  " transformer_dim_scale @ & classification_loss_scale   verbose_output  $ use_mass_classification  & use_pairwise_interactions   usable_gpus  balance_particles  ( learning_rate_warmup_epochs ? $ linear_prelu_activation ? ! num_embedding_layers @ " num_regression_layers @ J event_info_file75/data/spatop/event_files/v11/tt_hadronic_v7_full.yaml  validation_file  epochs Y@  limit_to_num_jets   linear_block_typeGRU  partial_events ? # num_jet_encoder_layers @ $ balance_classifications  " regression_loss_scale  # position_embedding_dim `@  kl_loss_scale  & num_classification_layers @  limit_val_batches ? / "initial_embedding_skip_connections ?  dataset_limit ? ( num_branch_embedding_layers @ " mask_sequence_vectors ? & split_symmetric_attention ? num_attention_heads  @  hidden_dim `@ H training_file75/data/spatop/tpm70_wpm30_FB350_training/all_merged.h5 " num_pairwise_features @ # trial_output_dir ./test_output  optimizerAdamW  masking FillingFs <ȷR FA*1 / _hparams_/session_end_infoJ  hparams"i?pM