HH A brain.Event:2R. ,tensorboard.summary.writer.event_file_writer:`/# FA*  hp_metric5 P0A* _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_metrictĬ : 0A*  _hparams_/session_start_infoJ  hparams  focal_gamma   limit_val_batches ? " initial_embedding_dim (@  gradient_clip $@  trial_time  partial_events ? & use_pairwise_interactions  " transformer_dim_scale @ $ use_mass_classification  $ linear_prelu_activation ? transformer_activationgelu  num_encoder_layers @ " regression_loss_scale   normalization  LayerNorm num_experts_per_tok @ ! learning_rate_cycles ? # pairwise_embedding_dim  @  use_moe  num_detector_layers @  testing_file  dropout ? # num_dataloader_workers  @  skip_connections ? " dataset_randomization   l2_penalty -C6*?  limit_to_num_jets   kl_loss_scale  & num_classification_layers @ # trial_output_dir ./test_output J event_info_file75/data/spatop/event_files/v11/tt_hadronic_v7_full.yaml ! num_embedding_layers $@  combine_pair_lossmin  num_experts  @  normalize_features ? ( learning_rate_warmup_epochs ? " assignment_loss_scale ?  hidden_dim 6@ & split_symmetric_attention ? combinatorial_scale   learning_rate -C6:? " num_pairwise_features @ / "initial_embedding_skip_connections ? # position_embedding_dim (@  validation_file ( num_branch_embedding_layers @  dataset_limit ? " num_regression_layers @ $ balance_classifications   num_gpu ?  balance_losses ?  linear_block_typeGRU H training_file75/data/spatop/tpm70_wpm30_FB350_training/all_merged.h5  verbose_output  & num_branch_encoder_layers @ & classification_loss_scale   batch_size @ # train_validation_split ffffff?  transformer_dim 6@  transformer_typeGated num_attention_heads @ % num_jet_embedding_layers   balance_jets   linear_activationgelu  balance_particles   masking Filling  epochs @@  optimizerAdamW  pairwise_input_source ! detection_loss_scale ?  moe_loss_scale {Gz? " mask_sequence_vectors ?  usable_gpus # num_jet_encoder_layers @R<ȷR 1A*1 / _hparams_/session_end_infoJ  hparams")ۥz