backend: pytorch checkpoint_freq: 5 comet: false comet_name: particleflow-pt comet_offline: false comet_step_freq: 10 config: parameters/pytorch/pyg-cms-ttbar.yaml conv_type: attention data_dir: /pfvol/tensorflow_datasets dataset: cms dtype: bfloat16 gpu_batch_multiplier: 4 gpus: 4 load: null lr: 0.0005 lr_schedule: cosinedecay met_finetuning: true model: attention: activation: elu attention_type: efficient conv_type: attention dropout: 0.3 embedding_dim: 256 num_convs: 3 num_heads: 16 width: 256 cos_phi_mode: linear energy_mode: linear eta_mode: linear gnn_lsh: activation: elu bin_size: 640 conv_type: gnn_lsh distance_dim: 128 dropout: 0.1 embedding_dim: 512 ffn_dist_hidden_dim: 128 layernorm: true max_num_bins: 200 num_convs: 3 num_node_messages: 2 width: 512 gravnet: activation: elu conv_type: gravnet dropout: 0.0 embedding_dim: 512 k: 16 num_convs: 3 propagate_dimensions: 32 space_dimensions: 4 width: 512 mamba: activation: elu conv_type: mamba d_conv: 4 d_state: 32 dropout: 0.1 embedding_dim: 1024 expand: 2 num_convs: 4 width: 1024 pt_mode: linear sin_phi_mode: linear ntest: null ntrain: null num_epochs: 30 num_workers: 0 nvalid: null patience: 10 prefetch_factor: null prefix: /pfvol/experiments/MLPF_cms_Transformer_MET_True_ ray_train: false raytune: asha: brackets: 1 grace_period: 10 max_t: 200 reduction_factor: 4 default_metric: val_loss default_mode: min hyperband: max_t: 200 reduction_factor: 4 hyperopt: n_random_steps: 10 local_dir: null nevergrad: n_random_steps: 10 sched: asha search_alg: hyperopt sort_data: true test_dataset: cms: physical: batch_size: 1 samples: cms_pf_qcd_high_pt: version: 1.6.0 cms_pf_ttbar: version: 1.6.0 train: true train_dataset: cms: physical: batch_size: 1 samples: cms_pf_ttbar: version: 1.6.0 valid_dataset: cms: physical: batch_size: 1 samples: cms_pf_ttbar: version: 1.6.0