HH B0ǓA brain.Event:2R. ,tensorboard.summary.writer.event_file_writers`/# @ǓA*  hp_metric45 AǓA* _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 A AǓA*  _hparams_/session_start_infoJ  hparams  testing_file # train_validation_split ffffff? num_experts_per_tok @ transformer_activationgelu " regression_loss_scale   normalization  LayerNorm  use_moe  ( num_branch_embedding_layers @ & split_symmetric_attention ? $ linear_prelu_activation ?  combine_pair_lossmin / "initial_embedding_skip_connections ?  validation_file  num_encoder_layers @  balance_jets  & num_branch_encoder_layers @  batch_size p@ ! num_embedding_layers $@  balance_particles  num_detector_layers @  optimizerAdamW & classification_loss_scale   num_gpu ? & num_classification_layers @  transformer_typeGated  l2_penalty -C6*? " mask_sequence_vectors ? # num_jet_encoder_layers @ " assignment_loss_scale ?  num_experts  @  transformer_dim `@  trial_time  pairwise_input_sourceall  masking Filling # pairwise_embedding_dim  @ # position_embedding_dim P@ $ use_mass_classification   dropout ? " transformer_dim_scale @  epochs @  hidden_dim `@ num_attention_heads  @ combinatorial_scale   limit_to_num_jets   moe_loss_scale {Gz? " num_pairwise_features @ $ balance_classifications   focal_gamma  ! detection_loss_scale ?  normalize_features ?  skip_connections ? J event_info_file75/data/spatop/event_files/v11/tt_hadronic_v7_full.yaml  verbose_output  " num_regression_layers @ # trial_output_dir ./test_output  linear_block_typeGRU  gradient_clip $@ H training_file75/data/spatop/tpm70_wpm30_FB350_training/all_merged.h5  linear_activationgelu  partial_events ?  dataset_limit ? " initial_embedding_dim @@ " dataset_randomization   usable_gpus  kl_loss_scale  # num_dataloader_workers  @ ( learning_rate_warmup_epochs ?  learning_rate -C6:?  balance_losses ? ! learning_rate_cycles ? % num_jet_embedding_layers   limit_val_batches ? & use_pairwise_interactions ?<ȷR "AǓA*1 / _hparams_/session_end_infoJ  hparams"E