checkpoint_freq: 1
comet: true
comet_name: particleflow-pt
comet_offline: false
comet_step_freq: 100
conv_type: attention
data_dir: /scratch/persistent/joosep/tensorflow_datasets
dataset: clic
dtype: float32
enabled_test_datasets:
- clic_edm_qq_pf
gpu_batch_multiplier: 256
gpus: 1
load: experiments/pyg-clic_20250106_193536_269746/checkpoints/checkpoint-01-2.431203.pth
lr: 0.0001
lr_schedule: cosinedecay
lr_schedule_config:
  onecycle:
    pct_start: 0.3
make_plots: null
model:
  attention:
    activation: relu
    attention_type: math
    conv_type: attention
    dropout_conv_id_ff: 0.0
    dropout_conv_id_mha: 0.0
    dropout_conv_reg_ff: 0.0
    dropout_conv_reg_mha: 0.0
    dropout_ff: 0.0
    head_dim: 32
    num_convs: 3
    num_heads: 32
    use_pre_layernorm: true
  cos_phi_mode: linear
  energy_mode: direct-elemtype-split
  eta_mode: linear
  gnn_lsh:
    activation: elu
    bin_size: 32
    conv_type: gnn_lsh
    distance_dim: 128
    embedding_dim: 512
    ffn_dist_hidden_dim: 128
    ffn_dist_num_layers: 2
    layernorm: true
    max_num_bins: 200
    num_convs: 8
    num_node_messages: 2
    width: 512
  input_encoding: split
  learned_representation_mode: last
  mamba:
    activation: elu
    conv_type: mamba
    d_conv: 4
    d_state: 16
    dropout: 0.0
    embedding_dim: 128
    expand: 2
    num_convs: 2
    num_heads: 2
    width: 128
  pt_mode: direct-elemtype-split
  sin_phi_mode: linear
  trainable: all
ntest: 2000
ntrain: null
num_epochs: 10
num_workers: 8
nvalid: null
patience: 20
prefetch_factor: 100
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: null
  search_alg: null
save_attention: true
sort_data: false
test: null
test_dataset:
  clic_edm_qq_pf:
    splits:
    - 1
    - 2
    - 3
    - 4
    - 5
    - 6
    - 7
    - 8
    - 9
    - 10
    version: 2.5.0
  clic_edm_ttbar_pf:
    splits:
    - 1
    - 2
    - 3
    - 4
    - 5
    - 6
    - 7
    - 8
    - 9
    - 10
    version: 2.5.0
  clic_edm_ww_fullhad_pf:
    splits:
    - 1
    - 2
    - 3
    - 4
    - 5
    - 6
    - 7
    - 8
    - 9
    - 10
    version: 2.5.0
train: true
train_dataset:
  clic:
    physical:
      batch_size: 1
      samples:
        clic_edm_qq_pf:
          splits:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 7
          - 8
          - 9
          - 10
          version: 2.5.0
        clic_edm_ttbar_pf:
          splits:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 7
          - 8
          - 9
          - 10
          version: 2.5.0
        clic_edm_ww_fullhad_pf:
          splits:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 7
          - 8
          - 9
          - 10
          version: 2.5.0
val_freq: null
valid_dataset:
  clic:
    physical:
      batch_size: 1
      samples:
        clic_edm_qq_pf:
          splits:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 7
          - 8
          - 9
          - 10
          version: 2.5.0
        clic_edm_ttbar_pf:
          splits:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 7
          - 8
          - 9
          - 10
          version: 2.5.0
        clic_edm_ww_fullhad_pf:
          splits:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 7
          - 8
          - 9
          - 10
          version: 2.5.0