HH A brain.Event:2R. ,tensorboard.summary.writer.event_file_writer8`/# 6A*  hp_metric65 jA* _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) : ݼA*  _hparams_/session_start_infoJ  hparams # pairwise_embedding_dim  @  pairwise_input_source  num_encoder_layers @  learning_rate -C6:? " regression_loss_scale  $ balance_classifications  ( learning_rate_warmup_epochs ?  usable_gpus  normalization  LayerNorm  use_moe  ( num_branch_embedding_layers @ & split_symmetric_attention ? ! detection_loss_scale ? num_experts_per_tok @ num_attention_heads @ " mask_sequence_vectors ? " dataset_randomization   focal_gamma   linear_block_typeGRU  skip_connections ? " num_pairwise_features @  dataset_limit ? ! learning_rate_cycles ?  limit_to_num_jets   balance_jets   l2_penalty -C6*? " initial_embedding_dim (@  transformer_typeGated J event_info_file75/data/spatop/event_files/v11/tt_hadronic_v7_full.yaml # num_jet_encoder_layers @  num_experts  @ % num_jet_embedding_layers   kl_loss_scale   transformer_dim 6@ # trial_output_dir ./test_output $ linear_prelu_activation ?  validation_file  trial_time # train_validation_split ffffff? & use_pairwise_interactions   normalize_features ? # num_dataloader_workers  @ & classification_loss_scale   testing_file  epochs @@  dropout ?  hidden_dim 6@ $ use_mass_classification  & num_branch_encoder_layers @ " assignment_loss_scale ?  verbose_output   limit_val_batches ? / "initial_embedding_skip_connections ?  combine_pair_lossmin H training_file75/data/spatop/tpm70_wpm30_FB350_training/all_merged.h5 combinatorial_scale   masking Filling ! num_embedding_layers $@  moe_loss_scale {Gz?  balance_particles  " transformer_dim_scale @  optimizerAdamW & num_classification_layers @ transformer_activationgelu " num_regression_layers @  num_gpu ?  linear_activationgelu  partial_events ? num_detector_layers @ # position_embedding_dim (@  batch_size @  balance_losses ?  gradient_clip $@k<ȷR A*1 / _hparams_/session_end_infoJ  hparams"~b