diff --git a/clic/clusters/v2.3.0/README.md b/clic/clusters/v2.3.0/README.md index 3a8be46f339c27a3d0e5cc98e3f155f49f30d690..33edc40522a1576f7df71027ad45e7473798db2c 100644 --- a/clic/clusters/v2.3.0/README.md +++ b/clic/clusters/v2.3.0/README.md @@ -3,4 +3,5 @@ pyg-clic_20250204_081614_352844 - legacy GNNLSH model, full dataset, 2 epochs / pyg-clic_20250211_145811_219129 - transformer, full dataset, 2 epochs / ~45 hours pyg-clic_20250130_214007_333962 - transformer + flash attention, full dataset, 10 epochs / ~80 hours pyg-clic_20250208_095515_010468 - transformer + flash attention, 1M events from each dataset, 10 epochs / ~12 hours +pyg-clic_20250209_100514_187330 - transformer + flash attention, 4M events from each dataset, 10 epochs / ~40 hours ``` diff --git a/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/.gitattributes b/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/.gitattributes new file mode 100644 index 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a/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/overridden_config.yaml b/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/overridden_config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6f409c9288a475ac740b0a73e08ae9207781f4ac --- /dev/null +++ b/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/overridden_config.yaml @@ -0,0 +1,225 @@ +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: bfloat16 +enabled_test_datasets: +- clic_edm_qq_pf +finetune: null +gpu_batch_multiplier: 256 +gpus: 1 +load: null +lr: 0.0001 +lr_schedule: cosinedecay +lr_schedule_config: + onecycle: + pct_start: 0.3 +make_plots: null +model: + attention: + activation: relu + attention_type: flash + 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: 1024 + ffn_dist_hidden_dim: 128 + ffn_dist_num_layers: 2 + layernorm: true + max_num_bins: 200 + num_convs: 3 + num_node_messages: 2 + width: 1024 + 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: 4000000 +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: + 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0000000000000000000000000000000000000000..6f409c9288a475ac740b0a73e08ae9207781f4ac --- /dev/null +++ b/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/train-config.yaml @@ -0,0 +1,225 @@ +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: bfloat16 +enabled_test_datasets: +- clic_edm_qq_pf +finetune: null +gpu_batch_multiplier: 256 +gpus: 1 +load: null +lr: 0.0001 +lr_schedule: cosinedecay +lr_schedule_config: + onecycle: + pct_start: 0.3 +make_plots: null +model: + attention: + activation: relu + attention_type: flash + 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: 1024 + ffn_dist_hidden_dim: 128 + ffn_dist_num_layers: 2 + layernorm: true + max_num_bins: 200 + num_convs: 3 + num_node_messages: 2 + width: 1024 + 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: 4000000 +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 diff --git a/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/train.log b/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/train.log new file mode 100644 index 0000000000000000000000000000000000000000..767f1a7d029796f1d813b89f5175a4e5cccc1861 --- /dev/null +++ b/clic/clusters/v2.3.0/pyg-clic_20250209_100514_187330/train.log @@ -0,0 +1,977 @@ +[2025-02-09 10:05:14,208] INFO: Will use single-gpu: NVIDIA A100 80GB PCIe +[2025-02-09 10:05:14,209] INFO: configured dtype=torch.bfloat16 for autocast +[2025-02-09 10:05:14,209] INFO: configured dtype=torch.bfloat16 for autocast +[2025-02-09 10:05:14,293] INFO: layer conv_id_0 using attention_type=flash +[2025-02-09 10:05:14,293] INFO: layer conv_id_0 using attention_type=flash +[2025-02-09 10:05:14,325] INFO: layer conv_reg_0 using attention_type=flash +[2025-02-09 10:05:14,325] INFO: layer conv_reg_0 using attention_type=flash +[2025-02-09 10:05:14,356] INFO: layer conv_id_1 using attention_type=flash +[2025-02-09 10:05:14,356] INFO: layer conv_id_1 using attention_type=flash +[2025-02-09 10:05:14,388] INFO: layer conv_reg_1 using attention_type=flash +[2025-02-09 10:05:14,388] INFO: layer conv_reg_1 using attention_type=flash +[2025-02-09 10:05:14,420] INFO: layer conv_id_2 using attention_type=flash +[2025-02-09 10:05:14,420] INFO: layer conv_id_2 using attention_type=flash +[2025-02-09 10:05:14,453] INFO: layer conv_reg_2 using attention_type=flash +[2025-02-09 10:05:14,453] INFO: layer conv_reg_2 using attention_type=flash +[2025-02-09 10:05:14,744] INFO: MLPF( + (nn0_id): ModuleList( + (0-1): 2 x Sequential( + (0): Linear(in_features=17, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1024, bias=True) + ) + ) + (nn0_reg): ModuleList( + (0-1): 2 x Sequential( + (0): Linear(in_features=17, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1024, bias=True) + ) + ) + (conv_id): ModuleList( + (0-2): 3 x PreLnSelfAttentionLayer( + (mha): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) + ) + (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (seq): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): Linear(in_features=1024, out_features=1024, bias=True) + (3): ReLU() + ) + (dropout): Dropout(p=0.0, inplace=False) + ) + ) + (conv_reg): ModuleList( + (0-2): 3 x PreLnSelfAttentionLayer( + (mha): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) + ) + (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (seq): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): Linear(in_features=1024, out_features=1024, bias=True) + (3): ReLU() + ) + (dropout): Dropout(p=0.0, inplace=False) + ) + ) + (nn_binary_particle): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=2, bias=True) + ) + (nn_pid): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=6, bias=True) + ) + (nn_pu): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1, bias=True) + ) + (nn_pt): RegressionOutput( + (nn): ModuleList( + (0-1): 2 x Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1, bias=True) + ) + ) + ) + (nn_eta): RegressionOutput( + (nn): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=2, bias=True) + ) + ) + (nn_sin_phi): RegressionOutput( + (nn): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=2, bias=True) + ) + ) + (nn_cos_phi): RegressionOutput( + (nn): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=2, bias=True) + ) + ) + (nn_energy): RegressionOutput( + (nn): ModuleList( + (0-1): 2 x Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1, bias=True) + ) + ) + ) + (final_norm_id): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (final_norm_reg): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) +) +[2025-02-09 10:05:14,744] INFO: MLPF( + (nn0_id): ModuleList( + (0-1): 2 x Sequential( + (0): Linear(in_features=17, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1024, bias=True) + ) + ) + (nn0_reg): ModuleList( + (0-1): 2 x Sequential( + (0): Linear(in_features=17, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1024, bias=True) + ) + ) + (conv_id): ModuleList( + (0-2): 3 x PreLnSelfAttentionLayer( + (mha): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) + ) + (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (seq): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): Linear(in_features=1024, out_features=1024, bias=True) + (3): ReLU() + ) + (dropout): Dropout(p=0.0, inplace=False) + ) + ) + (conv_reg): ModuleList( + (0-2): 3 x PreLnSelfAttentionLayer( + (mha): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) + ) + (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (seq): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): Linear(in_features=1024, out_features=1024, bias=True) + (3): ReLU() + ) + (dropout): Dropout(p=0.0, inplace=False) + ) + ) + (nn_binary_particle): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=2, bias=True) + ) + (nn_pid): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=6, bias=True) + ) + (nn_pu): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1, bias=True) + ) + (nn_pt): RegressionOutput( + (nn): ModuleList( + (0-1): 2 x Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1, bias=True) + ) + ) + ) + (nn_eta): RegressionOutput( + (nn): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=2, bias=True) + ) + ) + (nn_sin_phi): RegressionOutput( + (nn): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=2, bias=True) + ) + ) + (nn_cos_phi): RegressionOutput( + (nn): Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=2, bias=True) + ) + ) + (nn_energy): RegressionOutput( + (nn): ModuleList( + (0-1): 2 x Sequential( + (0): Linear(in_features=1024, out_features=1024, bias=True) + (1): ReLU() + (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (3): Dropout(p=0.0, inplace=False) + (4): Linear(in_features=1024, out_features=1, bias=True) + ) + ) + ) + (final_norm_id): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) + (final_norm_reg): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) +) +[2025-02-09 10:05:14,745] INFO: Trainable parameters: 52630547 +[2025-02-09 10:05:14,745] INFO: Trainable parameters: 52630547 +[2025-02-09 10:05:14,746] INFO: Non-trainable parameters: 0 +[2025-02-09 10:05:14,746] INFO: Non-trainable parameters: 0 +[2025-02-09 10:05:14,746] INFO: Total parameters: 52630547 +[2025-02-09 10:05:14,746] INFO: Total parameters: 52630547 +[2025-02-09 10:05:14,748] INFO: Modules Trainable parameters Non-trainable parameters + nn0_id.0.0.weight 17408 0 + nn0_id.0.0.bias 1024 0 + nn0_id.0.2.weight 1024 0 + nn0_id.0.2.bias 1024 0 + nn0_id.0.4.weight 1048576 0 + nn0_id.0.4.bias 1024 0 + nn0_id.1.0.weight 17408 0 + nn0_id.1.0.bias 1024 0 + nn0_id.1.2.weight 1024 0 + nn0_id.1.2.bias 1024 0 + nn0_id.1.4.weight 1048576 0 + nn0_id.1.4.bias 1024 0 + nn0_reg.0.0.weight 17408 0 + nn0_reg.0.0.bias 1024 0 + nn0_reg.0.2.weight 1024 0 + nn0_reg.0.2.bias 1024 0 + nn0_reg.0.4.weight 1048576 0 + nn0_reg.0.4.bias 1024 0 + nn0_reg.1.0.weight 17408 0 + nn0_reg.1.0.bias 1024 0 + nn0_reg.1.2.weight 1024 0 + nn0_reg.1.2.bias 1024 0 + nn0_reg.1.4.weight 1048576 0 + nn0_reg.1.4.bias 1024 0 + conv_id.0.mha.in_proj_weight 3145728 0 + conv_id.0.mha.in_proj_bias 3072 0 + conv_id.0.mha.out_proj.weight 1048576 0 + conv_id.0.mha.out_proj.bias 1024 0 + conv_id.0.norm0.weight 1024 0 + conv_id.0.norm0.bias 1024 0 + conv_id.0.norm1.weight 1024 0 + conv_id.0.norm1.bias 1024 0 + conv_id.0.seq.0.weight 1048576 0 + conv_id.0.seq.0.bias 1024 0 + conv_id.0.seq.2.weight 1048576 0 + conv_id.0.seq.2.bias 1024 0 + conv_id.1.mha.in_proj_weight 3145728 0 + conv_id.1.mha.in_proj_bias 3072 0 + conv_id.1.mha.out_proj.weight 1048576 0 + conv_id.1.mha.out_proj.bias 1024 0 + conv_id.1.norm0.weight 1024 0 + conv_id.1.norm0.bias 1024 0 + conv_id.1.norm1.weight 1024 0 + conv_id.1.norm1.bias 1024 0 + conv_id.1.seq.0.weight 1048576 0 + conv_id.1.seq.0.bias 1024 0 + conv_id.1.seq.2.weight 1048576 0 + conv_id.1.seq.2.bias 1024 0 + conv_id.2.mha.in_proj_weight 3145728 0 + conv_id.2.mha.in_proj_bias 3072 0 + conv_id.2.mha.out_proj.weight 1048576 0 + conv_id.2.mha.out_proj.bias 1024 0 + conv_id.2.norm0.weight 1024 0 + conv_id.2.norm0.bias 1024 0 + conv_id.2.norm1.weight 1024 0 + conv_id.2.norm1.bias 1024 0 + conv_id.2.seq.0.weight 1048576 0 + conv_id.2.seq.0.bias 1024 0 + conv_id.2.seq.2.weight 1048576 0 + conv_id.2.seq.2.bias 1024 0 + conv_reg.0.mha.in_proj_weight 3145728 0 + conv_reg.0.mha.in_proj_bias 3072 0 +conv_reg.0.mha.out_proj.weight 1048576 0 + conv_reg.0.mha.out_proj.bias 1024 0 + conv_reg.0.norm0.weight 1024 0 + conv_reg.0.norm0.bias 1024 0 + conv_reg.0.norm1.weight 1024 0 + conv_reg.0.norm1.bias 1024 0 + conv_reg.0.seq.0.weight 1048576 0 + conv_reg.0.seq.0.bias 1024 0 + conv_reg.0.seq.2.weight 1048576 0 + conv_reg.0.seq.2.bias 1024 0 + conv_reg.1.mha.in_proj_weight 3145728 0 + conv_reg.1.mha.in_proj_bias 3072 0 +conv_reg.1.mha.out_proj.weight 1048576 0 + conv_reg.1.mha.out_proj.bias 1024 0 + conv_reg.1.norm0.weight 1024 0 + conv_reg.1.norm0.bias 1024 0 + conv_reg.1.norm1.weight 1024 0 + conv_reg.1.norm1.bias 1024 0 + conv_reg.1.seq.0.weight 1048576 0 + conv_reg.1.seq.0.bias 1024 0 + conv_reg.1.seq.2.weight 1048576 0 + conv_reg.1.seq.2.bias 1024 0 + conv_reg.2.mha.in_proj_weight 3145728 0 + conv_reg.2.mha.in_proj_bias 3072 0 +conv_reg.2.mha.out_proj.weight 1048576 0 + conv_reg.2.mha.out_proj.bias 1024 0 + conv_reg.2.norm0.weight 1024 0 + conv_reg.2.norm0.bias 1024 0 + conv_reg.2.norm1.weight 1024 0 + conv_reg.2.norm1.bias 1024 0 + conv_reg.2.seq.0.weight 1048576 0 + conv_reg.2.seq.0.bias 1024 0 + conv_reg.2.seq.2.weight 1048576 0 + conv_reg.2.seq.2.bias 1024 0 + nn_binary_particle.0.weight 1048576 0 + nn_binary_particle.0.bias 1024 0 + nn_binary_particle.2.weight 1024 0 + nn_binary_particle.2.bias 1024 0 + nn_binary_particle.4.weight 2048 0 + nn_binary_particle.4.bias 2 0 + nn_pid.0.weight 1048576 0 + nn_pid.0.bias 1024 0 + nn_pid.2.weight 1024 0 + nn_pid.2.bias 1024 0 + nn_pid.4.weight 6144 0 + nn_pid.4.bias 6 0 + nn_pu.0.weight 1048576 0 + nn_pu.0.bias 1024 0 + nn_pu.2.weight 1024 0 + nn_pu.2.bias 1024 0 + nn_pu.4.weight 1024 0 + nn_pu.4.bias 1 0 + nn_pt.nn.0.0.weight 1048576 0 + nn_pt.nn.0.0.bias 1024 0 + nn_pt.nn.0.2.weight 1024 0 + nn_pt.nn.0.2.bias 1024 0 + nn_pt.nn.0.4.weight 1024 0 + nn_pt.nn.0.4.bias 1 0 + nn_pt.nn.1.0.weight 1048576 0 + nn_pt.nn.1.0.bias 1024 0 + nn_pt.nn.1.2.weight 1024 0 + nn_pt.nn.1.2.bias 1024 0 + nn_pt.nn.1.4.weight 1024 0 + nn_pt.nn.1.4.bias 1 0 + nn_eta.nn.0.weight 1048576 0 + nn_eta.nn.0.bias 1024 0 + nn_eta.nn.2.weight 1024 0 + nn_eta.nn.2.bias 1024 0 + nn_eta.nn.4.weight 2048 0 + nn_eta.nn.4.bias 2 0 + nn_sin_phi.nn.0.weight 1048576 0 + nn_sin_phi.nn.0.bias 1024 0 + nn_sin_phi.nn.2.weight 1024 0 + nn_sin_phi.nn.2.bias 1024 0 + nn_sin_phi.nn.4.weight 2048 0 + nn_sin_phi.nn.4.bias 2 0 + nn_cos_phi.nn.0.weight 1048576 0 + nn_cos_phi.nn.0.bias 1024 0 + nn_cos_phi.nn.2.weight 1024 0 + nn_cos_phi.nn.2.bias 1024 0 + nn_cos_phi.nn.4.weight 2048 0 + nn_cos_phi.nn.4.bias 2 0 + nn_energy.nn.0.0.weight 1048576 0 + nn_energy.nn.0.0.bias 1024 0 + nn_energy.nn.0.2.weight 1024 0 + nn_energy.nn.0.2.bias 1024 0 + nn_energy.nn.0.4.weight 1024 0 + nn_energy.nn.0.4.bias 1 0 + nn_energy.nn.1.0.weight 1048576 0 + nn_energy.nn.1.0.bias 1024 0 + nn_energy.nn.1.2.weight 1024 0 + nn_energy.nn.1.2.bias 1024 0 + nn_energy.nn.1.4.weight 1024 0 + nn_energy.nn.1.4.bias 1 0 + final_norm_id.weight 1024 0 + final_norm_id.bias 1024 0 + final_norm_reg.weight 1024 0 + final_norm_reg.bias 1024 0 +[2025-02-09 10:05:14,748] INFO: Modules Trainable parameters Non-trainable parameters + nn0_id.0.0.weight 17408 0 + nn0_id.0.0.bias 1024 0 + nn0_id.0.2.weight 1024 0 + nn0_id.0.2.bias 1024 0 + nn0_id.0.4.weight 1048576 0 + nn0_id.0.4.bias 1024 0 + nn0_id.1.0.weight 17408 0 + nn0_id.1.0.bias 1024 0 + nn0_id.1.2.weight 1024 0 + nn0_id.1.2.bias 1024 0 + nn0_id.1.4.weight 1048576 0 + nn0_id.1.4.bias 1024 0 + nn0_reg.0.0.weight 17408 0 + nn0_reg.0.0.bias 1024 0 + nn0_reg.0.2.weight 1024 0 + nn0_reg.0.2.bias 1024 0 + nn0_reg.0.4.weight 1048576 0 + nn0_reg.0.4.bias 1024 0 + nn0_reg.1.0.weight 17408 0 + nn0_reg.1.0.bias 1024 0 + nn0_reg.1.2.weight 1024 0 + nn0_reg.1.2.bias 1024 0 + nn0_reg.1.4.weight 1048576 0 + nn0_reg.1.4.bias 1024 0 + conv_id.0.mha.in_proj_weight 3145728 0 + conv_id.0.mha.in_proj_bias 3072 0 + conv_id.0.mha.out_proj.weight 1048576 0 + conv_id.0.mha.out_proj.bias 1024 0 + conv_id.0.norm0.weight 1024 0 + conv_id.0.norm0.bias 1024 0 + conv_id.0.norm1.weight 1024 0 + conv_id.0.norm1.bias 1024 0 + conv_id.0.seq.0.weight 1048576 0 + conv_id.0.seq.0.bias 1024 0 + conv_id.0.seq.2.weight 1048576 0 + conv_id.0.seq.2.bias 1024 0 + conv_id.1.mha.in_proj_weight 3145728 0 + conv_id.1.mha.in_proj_bias 3072 0 + conv_id.1.mha.out_proj.weight 1048576 0 + conv_id.1.mha.out_proj.bias 1024 0 + conv_id.1.norm0.weight 1024 0 + conv_id.1.norm0.bias 1024 0 + conv_id.1.norm1.weight 1024 0 + conv_id.1.norm1.bias 1024 0 + conv_id.1.seq.0.weight 1048576 0 + conv_id.1.seq.0.bias 1024 0 + conv_id.1.seq.2.weight 1048576 0 + conv_id.1.seq.2.bias 1024 0 + conv_id.2.mha.in_proj_weight 3145728 0 + conv_id.2.mha.in_proj_bias 3072 0 + conv_id.2.mha.out_proj.weight 1048576 0 + conv_id.2.mha.out_proj.bias 1024 0 + conv_id.2.norm0.weight 1024 0 + conv_id.2.norm0.bias 1024 0 + conv_id.2.norm1.weight 1024 0 + conv_id.2.norm1.bias 1024 0 + conv_id.2.seq.0.weight 1048576 0 + conv_id.2.seq.0.bias 1024 0 + conv_id.2.seq.2.weight 1048576 0 + conv_id.2.seq.2.bias 1024 0 + conv_reg.0.mha.in_proj_weight 3145728 0 + conv_reg.0.mha.in_proj_bias 3072 0 +conv_reg.0.mha.out_proj.weight 1048576 0 + conv_reg.0.mha.out_proj.bias 1024 0 + conv_reg.0.norm0.weight 1024 0 + conv_reg.0.norm0.bias 1024 0 + conv_reg.0.norm1.weight 1024 0 + conv_reg.0.norm1.bias 1024 0 + conv_reg.0.seq.0.weight 1048576 0 + conv_reg.0.seq.0.bias 1024 0 + conv_reg.0.seq.2.weight 1048576 0 + conv_reg.0.seq.2.bias 1024 0 + conv_reg.1.mha.in_proj_weight 3145728 0 + conv_reg.1.mha.in_proj_bias 3072 0 +conv_reg.1.mha.out_proj.weight 1048576 0 + conv_reg.1.mha.out_proj.bias 1024 0 + conv_reg.1.norm0.weight 1024 0 + conv_reg.1.norm0.bias 1024 0 + conv_reg.1.norm1.weight 1024 0 + conv_reg.1.norm1.bias 1024 0 + conv_reg.1.seq.0.weight 1048576 0 + conv_reg.1.seq.0.bias 1024 0 + conv_reg.1.seq.2.weight 1048576 0 + conv_reg.1.seq.2.bias 1024 0 + conv_reg.2.mha.in_proj_weight 3145728 0 + conv_reg.2.mha.in_proj_bias 3072 0 +conv_reg.2.mha.out_proj.weight 1048576 0 + conv_reg.2.mha.out_proj.bias 1024 0 + conv_reg.2.norm0.weight 1024 0 + conv_reg.2.norm0.bias 1024 0 + conv_reg.2.norm1.weight 1024 0 + conv_reg.2.norm1.bias 1024 0 + conv_reg.2.seq.0.weight 1048576 0 + conv_reg.2.seq.0.bias 1024 0 + conv_reg.2.seq.2.weight 1048576 0 + conv_reg.2.seq.2.bias 1024 0 + nn_binary_particle.0.weight 1048576 0 + nn_binary_particle.0.bias 1024 0 + nn_binary_particle.2.weight 1024 0 + nn_binary_particle.2.bias 1024 0 + nn_binary_particle.4.weight 2048 0 + nn_binary_particle.4.bias 2 0 + nn_pid.0.weight 1048576 0 + nn_pid.0.bias 1024 0 + nn_pid.2.weight 1024 0 + nn_pid.2.bias 1024 0 + nn_pid.4.weight 6144 0 + nn_pid.4.bias 6 0 + nn_pu.0.weight 1048576 0 + nn_pu.0.bias 1024 0 + nn_pu.2.weight 1024 0 + nn_pu.2.bias 1024 0 + nn_pu.4.weight 1024 0 + nn_pu.4.bias 1 0 + nn_pt.nn.0.0.weight 1048576 0 + nn_pt.nn.0.0.bias 1024 0 + nn_pt.nn.0.2.weight 1024 0 + nn_pt.nn.0.2.bias 1024 0 + nn_pt.nn.0.4.weight 1024 0 + nn_pt.nn.0.4.bias 1 0 + nn_pt.nn.1.0.weight 1048576 0 + nn_pt.nn.1.0.bias 1024 0 + nn_pt.nn.1.2.weight 1024 0 + nn_pt.nn.1.2.bias 1024 0 + nn_pt.nn.1.4.weight 1024 0 + nn_pt.nn.1.4.bias 1 0 + nn_eta.nn.0.weight 1048576 0 + nn_eta.nn.0.bias 1024 0 + nn_eta.nn.2.weight 1024 0 + nn_eta.nn.2.bias 1024 0 + nn_eta.nn.4.weight 2048 0 + nn_eta.nn.4.bias 2 0 + nn_sin_phi.nn.0.weight 1048576 0 + nn_sin_phi.nn.0.bias 1024 0 + nn_sin_phi.nn.2.weight 1024 0 + nn_sin_phi.nn.2.bias 1024 0 + nn_sin_phi.nn.4.weight 2048 0 + nn_sin_phi.nn.4.bias 2 0 + nn_cos_phi.nn.0.weight 1048576 0 + nn_cos_phi.nn.0.bias 1024 0 + nn_cos_phi.nn.2.weight 1024 0 + nn_cos_phi.nn.2.bias 1024 0 + nn_cos_phi.nn.4.weight 2048 0 + nn_cos_phi.nn.4.bias 2 0 + nn_energy.nn.0.0.weight 1048576 0 + nn_energy.nn.0.0.bias 1024 0 + nn_energy.nn.0.2.weight 1024 0 + nn_energy.nn.0.2.bias 1024 0 + nn_energy.nn.0.4.weight 1024 0 + nn_energy.nn.0.4.bias 1 0 + nn_energy.nn.1.0.weight 1048576 0 + nn_energy.nn.1.0.bias 1024 0 + nn_energy.nn.1.2.weight 1024 0 + nn_energy.nn.1.2.bias 1024 0 + nn_energy.nn.1.4.weight 1024 0 + nn_energy.nn.1.4.bias 1 0 + final_norm_id.weight 1024 0 + final_norm_id.bias 1024 0 + final_norm_reg.weight 1024 0 + final_norm_reg.bias 1024 0 +[2025-02-09 10:05:14,748] INFO: Creating experiment dir experiments/pyg-clic_20250209_100514_187330 +[2025-02-09 10:05:14,748] INFO: Creating experiment dir experiments/pyg-clic_20250209_100514_187330 +[2025-02-09 10:05:14,748] INFO: Model directory experiments/pyg-clic_20250209_100514_187330 +[2025-02-09 10:05:14,748] INFO: Model directory experiments/pyg-clic_20250209_100514_187330 +[2025-02-09 10:05:19,912] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,912] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,930] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,930] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,951] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,951] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,969] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,969] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,997] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:19,997] INFO: train_dataset: clic_edm_qq_pf, 400000 +[2025-02-09 10:05:20,031] INFO: train_dataset: 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+[2025-02-09 10:05:21,776] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,782] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,782] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,788] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,788] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,793] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,793] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,799] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,799] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,805] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,805] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,811] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,811] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80000 +[2025-02-09 10:05:21,817] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80100 +[2025-02-09 10:05:21,817] INFO: valid_dataset: clic_edm_ww_fullhad_pf, 80100 +[2025-02-09 14:29:12,298] INFO: Rank 0: epoch=1/10 train_loss=2.8656 valid_loss=2.5502 stale=0 epoch_train_time=246.27m epoch_valid_time=17.54m epoch_total_time=263.81m eta=2374.5m +[2025-02-09 14:29:12,298] INFO: Rank 0: epoch=1/10 train_loss=2.8656 valid_loss=2.5502 stale=0 epoch_train_time=246.27m epoch_valid_time=17.54m epoch_total_time=263.81m eta=2374.5m +[2025-02-09 14:29:12,308] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +[2025-02-09 14:29:12,308] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +[2025-02-09 14:29:12,465] INFO: test_dataset: clic_edm_qq_pf, 2000 +[2025-02-09 14:29:12,465] INFO: test_dataset: clic_edm_qq_pf, 2000 +[2025-02-09 14:29:12,476] INFO: Running predictions on clic_edm_qq_pf +[2025-02-09 14:29:12,476] INFO: Running predictions on clic_edm_qq_pf +[2025-02-09 14:29:15,563] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_0.parquet +[2025-02-09 14:29:15,563] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_0.parquet +[2025-02-09 14:29:16,015] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_1.parquet +[2025-02-09 14:29:16,015] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_1.parquet +[2025-02-09 14:29:16,468] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_2.parquet +[2025-02-09 14:29:16,468] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_2.parquet +[2025-02-09 14:29:16,964] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_3.parquet +[2025-02-09 14:29:16,964] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_3.parquet +[2025-02-09 14:29:17,444] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_4.parquet +[2025-02-09 14:29:17,444] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_4.parquet +[2025-02-09 14:29:17,880] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_5.parquet +[2025-02-09 14:29:17,880] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_5.parquet +[2025-02-09 14:29:18,345] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_6.parquet +[2025-02-09 14:29:18,345] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_6.parquet +[2025-02-09 14:29:18,750] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_7.parquet +[2025-02-09 14:29:18,750] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_1/clic_edm_qq_pf/pred_0_7.parquet +[2025-02-09 14:29:18,843] INFO: Time taken to make predictions on device 0 is: 0.10 min +[2025-02-09 14:29:18,843] INFO: Time taken to make predictions on device 0 is: 0.10 min +[2025-02-09 18:53:51,658] INFO: Rank 0: epoch=2/10 train_loss=2.4134 valid_loss=2.3783 stale=0 epoch_train_time=246.34m epoch_valid_time=17.51m epoch_total_time=263.85m eta=2113.9m +[2025-02-09 18:53:51,658] INFO: Rank 0: epoch=2/10 train_loss=2.4134 valid_loss=2.3783 stale=0 epoch_train_time=246.34m epoch_valid_time=17.51m epoch_total_time=263.85m eta=2113.9m +[2025-02-09 18:53:51,685] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +[2025-02-09 18:53:51,685] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +[2025-02-09 18:53:51,858] INFO: test_dataset: clic_edm_qq_pf, 2000 +[2025-02-09 18:53:51,858] INFO: test_dataset: clic_edm_qq_pf, 2000 +[2025-02-09 18:53:51,864] INFO: Running predictions on clic_edm_qq_pf +[2025-02-09 18:53:51,864] INFO: Running predictions on clic_edm_qq_pf +[2025-02-09 18:53:53,631] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_2/clic_edm_qq_pf/pred_0_0.parquet +[2025-02-09 18:53:53,631] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_2/clic_edm_qq_pf/pred_0_0.parquet +[2025-02-09 18:53:54,073] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_2/clic_edm_qq_pf/pred_0_1.parquet +[2025-02-09 18:53:54,073] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_2/clic_edm_qq_pf/pred_0_1.parquet +[2025-02-09 18:53:54,510] INFO: Saved predictions at 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+[2025-02-11 01:45:35,748] INFO: Time taken to make predictions on device 0 is: 0.07 min +[2025-02-11 01:45:35,748] INFO: Time taken to make predictions on device 0 is: 0.07 min +[2025-02-11 06:09:34,564] INFO: Rank 0: epoch=10/10 train_loss=1.9645 valid_loss=2.0226 stale=0 epoch_train_time=245.77m epoch_valid_time=17.47m epoch_total_time=263.25m eta=0.0m +[2025-02-11 06:09:34,564] INFO: Rank 0: epoch=10/10 train_loss=1.9645 valid_loss=2.0226 stale=0 epoch_train_time=245.77m epoch_valid_time=17.47m epoch_total_time=263.25m eta=0.0m +[2025-02-11 06:09:34,575] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +[2025-02-11 06:09:34,575] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +[2025-02-11 06:09:34,729] INFO: test_dataset: clic_edm_qq_pf, 2000 +[2025-02-11 06:09:34,729] INFO: test_dataset: clic_edm_qq_pf, 2000 +[2025-02-11 06:09:34,734] INFO: Running predictions on clic_edm_qq_pf +[2025-02-11 06:09:34,734] INFO: Running predictions on clic_edm_qq_pf +[2025-02-11 06:09:35,915] 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experiments/pyg-clic_20250209_100514_187330/preds_epoch_10/clic_edm_qq_pf/pred_0_6.parquet +[2025-02-11 06:09:38,947] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_10/clic_edm_qq_pf/pred_0_7.parquet +[2025-02-11 06:09:38,947] INFO: Saved predictions at experiments/pyg-clic_20250209_100514_187330/preds_epoch_10/clic_edm_qq_pf/pred_0_7.parquet +[2025-02-11 06:09:39,130] INFO: Time taken to make predictions on device 0 is: 0.06 min +[2025-02-11 06:09:39,130] INFO: Time taken to make predictions on device 0 is: 0.06 min +[2025-02-11 06:10:21,072] INFO: Training completed. Total time on device 0: 2644.976min +[2025-02-11 06:10:21,072] INFO: Training completed. Total time on device 0: 2644.976min