| [2025-02-05 14:56:02,358] INFO: [0;35mWill use single-gpu: NVIDIA A100-SXM4-80GB[0m | |
| [2025-02-05 14:56:02,358] INFO: configured dtype=torch.float32 for autocast | |
| [2025-02-05 14:56:02,358] INFO: configured dtype=torch.float32 for autocast | |
| [2025-02-05 14:56:02,566] INFO: layer conv_id_0 using attention_type=math | |
| [2025-02-05 14:56:02,566] INFO: layer conv_id_0 using attention_type=math | |
| [2025-02-05 14:56:02,653] INFO: layer conv_reg_0 using attention_type=math | |
| [2025-02-05 14:56:02,653] INFO: layer conv_reg_0 using attention_type=math | |
| [2025-02-05 14:56:02,750] INFO: layer conv_id_1 using attention_type=math | |
| [2025-02-05 14:56:02,750] INFO: layer conv_id_1 using attention_type=math | |
| [2025-02-05 14:56:02,838] INFO: layer conv_reg_1 using attention_type=math | |
| [2025-02-05 14:56:02,838] INFO: layer conv_reg_1 using attention_type=math | |
| [2025-02-05 14:56:02,926] INFO: layer conv_id_2 using attention_type=math | |
| [2025-02-05 14:56:02,926] INFO: layer conv_id_2 using attention_type=math | |
| [2025-02-05 14:56:03,015] INFO: layer conv_reg_2 using attention_type=math | |
| [2025-02-05 14:56:03,015] INFO: layer conv_reg_2 using attention_type=math | |
| [2025-02-05 14:56:05,348] 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_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) | |
| ) | |
| [2025-02-05 14:56:05,348] 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_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) | |
| ) | |
| [2025-02-05 14:56:05,350] INFO: Trainable parameters: 51577874 | |
| [2025-02-05 14:56:05,350] INFO: Trainable parameters: 51577874 | |
| [2025-02-05 14:56:05,350] INFO: Non-trainable parameters: 0 | |
| [2025-02-05 14:56:05,350] INFO: Non-trainable parameters: 0 | |
| [2025-02-05 14:56:05,350] INFO: Total parameters: 51577874 | |
| [2025-02-05 14:56:05,350] INFO: Total parameters: 51577874 | |
| [2025-02-05 14:56:05,354] 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_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 | |
| [2025-02-05 14:56:05,354] 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 | |
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| [2025-02-05 14:56:05,371] INFO: Creating experiment dir /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593 | |
| [2025-02-05 14:56:05,371] INFO: Creating experiment dir /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593 | |
| [2025-02-05 14:56:05,371] INFO: [1mModel directory /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593[0m | |
| [2025-02-05 14:56:05,371] INFO: [1mModel directory /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593[0m | |
| [2025-02-05 14:56:05,398] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,398] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,413] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,413] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,428] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,428] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,442] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379400[0m | |
| [2025-02-05 14:56:05,442] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379400[0m | |
| [2025-02-05 14:56:05,456] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,456] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,471] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379400[0m | |
| [2025-02-05 14:56:05,471] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379400[0m | |
| [2025-02-05 14:56:05,485] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379400[0m | |
| [2025-02-05 14:56:05,485] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379400[0m | |
| [2025-02-05 14:56:05,499] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,499] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,514] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,514] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 379500[0m | |
| [2025-02-05 14:56:05,528] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 380100[0m | |
| [2025-02-05 14:56:05,528] INFO: [0;34mtrain_dataset: cld_edm_ttbar_pf, 380100[0m | |
| [2025-02-05 14:56:06,467] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,467] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,477] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,477] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,484] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,484] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,492] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,492] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,534] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,534] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,540] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,540] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,547] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,547] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,555] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,555] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,562] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,562] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,569] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 14:56:06,569] INFO: [0;34mvalid_dataset: cld_edm_ttbar_pf, 500[0m | |
| [2025-02-05 21:58:11,657] INFO: [1mRank 0: epoch=1/100 train_loss=3.3108 valid_loss=2.7375 stale=0 epoch_train_time=421.71m epoch_valid_time=0.27m epoch_total_time=421.98m eta=41785.3m[0m | |
| [2025-02-05 21:58:11,657] INFO: [1mRank 0: epoch=1/100 train_loss=3.3108 valid_loss=2.7375 stale=0 epoch_train_time=421.71m epoch_valid_time=0.27m epoch_total_time=421.98m eta=41785.3m[0m | |
| [2025-02-06 05:01:17,071] INFO: [1mRank 0: epoch=2/100 train_loss=2.6045 valid_loss=2.5338 stale=0 epoch_train_time=422.73m epoch_valid_time=0.26m epoch_total_time=422.99m eta=41413.0m[0m | |
| [2025-02-06 05:01:17,071] INFO: [1mRank 0: epoch=2/100 train_loss=2.6045 valid_loss=2.5338 stale=0 epoch_train_time=422.73m epoch_valid_time=0.26m epoch_total_time=422.99m eta=41413.0m[0m | |
| [2025-02-06 14:09:28,658] INFO: [1mRank 0: epoch=3/100 train_loss=2.4373 valid_loss=2.3758 stale=0 epoch_train_time=547.85m epoch_valid_time=0.25m epoch_total_time=548.11m eta=45051.9m[0m | |
| [2025-02-06 14:09:28,658] INFO: [1mRank 0: epoch=3/100 train_loss=2.4373 valid_loss=2.3758 stale=0 epoch_train_time=547.85m epoch_valid_time=0.25m epoch_total_time=548.11m eta=45051.9m[0m | |
| [2025-02-06 21:12:47,380] INFO: [1mRank 0: epoch=4/100 train_loss=2.3441 valid_loss=2.3123 stale=0 epoch_train_time=422.97m epoch_valid_time=0.26m epoch_total_time=423.23m eta=43600.0m[0m | |
| [2025-02-06 21:12:47,380] INFO: [1mRank 0: epoch=4/100 train_loss=2.3441 valid_loss=2.3123 stale=0 epoch_train_time=422.97m epoch_valid_time=0.26m epoch_total_time=423.23m eta=43600.0m[0m | |
| [2025-02-07 04:14:43,856] INFO: [1mRank 0: epoch=5/100 train_loss=2.2765 valid_loss=2.2521 stale=0 epoch_train_time=421.59m epoch_valid_time=0.26m epoch_total_time=421.85m eta=42533.6m[0m | |
| [2025-02-07 04:14:43,856] INFO: [1mRank 0: epoch=5/100 train_loss=2.2765 valid_loss=2.2521 stale=0 epoch_train_time=421.59m epoch_valid_time=0.26m epoch_total_time=421.85m eta=42533.6m[0m | |
| [2025-02-07 11:17:44,260] INFO: [1mRank 0: epoch=6/100 train_loss=2.2146 valid_loss=2.1891 stale=0 epoch_train_time=422.66m epoch_valid_time=0.26m epoch_total_time=422.92m eta=41698.7m[0m | |
| [2025-02-07 11:17:44,260] INFO: [1mRank 0: epoch=6/100 train_loss=2.2146 valid_loss=2.1891 stale=0 epoch_train_time=422.66m epoch_valid_time=0.26m epoch_total_time=422.92m eta=41698.7m[0m | |
| [2025-02-07 18:20:07,646] INFO: [1mRank 0: epoch=7/100 train_loss=2.1698 valid_loss=2.1753 stale=0 epoch_train_time=422.05m epoch_valid_time=0.26m epoch_total_time=422.31m eta=40973.2m[0m | |
| [2025-02-07 18:20:07,646] INFO: [1mRank 0: epoch=7/100 train_loss=2.1698 valid_loss=2.1753 stale=0 epoch_train_time=422.05m epoch_valid_time=0.26m epoch_total_time=422.31m eta=40973.2m[0m | |
| [2025-02-08 01:21:58,162] INFO: [1mRank 0: epoch=8/100 train_loss=2.1343 valid_loss=2.1384 stale=0 epoch_train_time=421.49m epoch_valid_time=0.27m epoch_total_time=421.75m eta=40317.3m[0m | |
| [2025-02-08 01:21:58,162] INFO: [1mRank 0: epoch=8/100 train_loss=2.1343 valid_loss=2.1384 stale=0 epoch_train_time=421.49m epoch_valid_time=0.27m epoch_total_time=421.75m eta=40317.3m[0m | |
| [2025-02-08 08:24:27,689] INFO: [1mRank 0: epoch=9/100 train_loss=2.1037 valid_loss=2.1061 stale=0 epoch_train_time=422.15m epoch_valid_time=0.25m epoch_total_time=422.40m eta=39719.9m[0m | |
| [2025-02-08 08:24:27,689] INFO: [1mRank 0: epoch=9/100 train_loss=2.1037 valid_loss=2.1061 stale=0 epoch_train_time=422.15m epoch_valid_time=0.25m epoch_total_time=422.40m eta=39719.9m[0m | |
| [2025-02-08 15:25:54,840] INFO: [1mRank 0: epoch=10/100 train_loss=2.0723 valid_loss=2.0807 stale=0 epoch_train_time=421.12m epoch_valid_time=0.26m epoch_total_time=421.38m eta=39148.1m[0m | |
| [2025-02-08 15:25:54,840] INFO: [1mRank 0: epoch=10/100 train_loss=2.0723 valid_loss=2.0807 stale=0 epoch_train_time=421.12m epoch_valid_time=0.26m epoch_total_time=421.38m eta=39148.1m[0m | |
| [2025-02-08 22:27:12,255] INFO: [1mRank 0: epoch=11/100 train_loss=2.0338 valid_loss=2.0353 stale=0 epoch_train_time=420.96m epoch_valid_time=0.25m epoch_total_time=421.21m eta=38602.4m[0m | |
| [2025-02-08 22:27:12,255] INFO: [1mRank 0: epoch=11/100 train_loss=2.0338 valid_loss=2.0353 stale=0 epoch_train_time=420.96m epoch_valid_time=0.25m epoch_total_time=421.21m eta=38602.4m[0m | |
| [2025-02-09 05:29:16,363] INFO: [1mRank 0: epoch=12/100 train_loss=1.9992 valid_loss=2.0109 stale=0 epoch_train_time=421.73m epoch_valid_time=0.25m epoch_total_time=421.98m eta=38083.1m[0m | |
| [2025-02-09 05:29:16,363] INFO: [1mRank 0: epoch=12/100 train_loss=1.9992 valid_loss=2.0109 stale=0 epoch_train_time=421.73m epoch_valid_time=0.25m epoch_total_time=421.98m eta=38083.1m[0m | |
| [2025-02-09 12:30:12,763] INFO: [1mRank 0: epoch=13/100 train_loss=1.9654 valid_loss=1.9706 stale=0 epoch_train_time=420.56m epoch_valid_time=0.29m epoch_total_time=420.85m eta=37571.2m[0m | |
| [2025-02-09 12:30:12,763] INFO: [1mRank 0: epoch=13/100 train_loss=1.9654 valid_loss=1.9706 stale=0 epoch_train_time=420.56m epoch_valid_time=0.29m epoch_total_time=420.85m eta=37571.2m[0m | |
| [2025-02-09 19:31:22,350] INFO: [1mRank 0: epoch=14/100 train_loss=1.9344 valid_loss=1.9577 stale=0 epoch_train_time=420.82m epoch_valid_time=0.26m epoch_total_time=421.08m eta=37073.7m[0m | |
| [2025-02-09 19:31:22,350] INFO: [1mRank 0: epoch=14/100 train_loss=1.9344 valid_loss=1.9577 stale=0 epoch_train_time=420.82m epoch_valid_time=0.26m epoch_total_time=421.08m eta=37073.7m[0m | |
| [2025-02-10 03:41:02,758] INFO: [1mRank 0: epoch=15/100 train_loss=1.9100 valid_loss=1.9332 stale=0 epoch_train_time=489.33m epoch_valid_time=0.26m epoch_total_time=489.59m eta=36974.6m[0m | |
| [2025-02-10 03:41:02,758] INFO: [1mRank 0: epoch=15/100 train_loss=1.9100 valid_loss=1.9332 stale=0 epoch_train_time=489.33m epoch_valid_time=0.26m epoch_total_time=489.59m eta=36974.6m[0m | |
| [2025-02-10 12:15:04,801] INFO: [1mRank 0: epoch=16/100 train_loss=1.8903 valid_loss=1.9090 stale=0 epoch_train_time=513.70m epoch_valid_time=0.25m epoch_total_time=513.95m eta=36954.5m[0m | |
| [2025-02-10 12:15:04,801] INFO: [1mRank 0: epoch=16/100 train_loss=1.8903 valid_loss=1.9090 stale=0 epoch_train_time=513.70m epoch_valid_time=0.25m epoch_total_time=513.95m eta=36954.5m[0m | |
| [2025-02-10 19:18:48,630] INFO: [1mRank 0: epoch=17/100 train_loss=1.8736 valid_loss=1.9173 stale=1 epoch_train_time=423.44m epoch_valid_time=0.25m epoch_total_time=423.68m eta=36435.5m[0m | |
| [2025-02-10 19:18:48,630] INFO: [1mRank 0: epoch=17/100 train_loss=1.8736 valid_loss=1.9173 stale=1 epoch_train_time=423.44m epoch_valid_time=0.25m epoch_total_time=423.68m eta=36435.5m[0m | |
| [2025-02-11 02:34:31,197] INFO: [1mRank 0: epoch=18/100 train_loss=1.8591 valid_loss=1.8922 stale=0 epoch_train_time=435.34m epoch_valid_time=0.27m epoch_total_time=435.61m eta=35981.6m[0m | |
| [2025-02-11 02:34:31,197] INFO: [1mRank 0: epoch=18/100 train_loss=1.8591 valid_loss=1.8922 stale=0 epoch_train_time=435.34m epoch_valid_time=0.27m epoch_total_time=435.61m eta=35981.6m[0m | |
| [2025-02-11 09:36:42,015] INFO: [1mRank 0: epoch=19/100 train_loss=1.8458 valid_loss=1.8870 stale=0 epoch_train_time=421.83m epoch_valid_time=0.25m epoch_total_time=422.09m eta=35471.9m[0m | |
| [2025-02-11 09:36:42,015] INFO: [1mRank 0: epoch=19/100 train_loss=1.8458 valid_loss=1.8870 stale=0 epoch_train_time=421.83m epoch_valid_time=0.25m epoch_total_time=422.09m eta=35471.9m[0m | |
| [2025-02-11 16:38:47,945] INFO: [1mRank 0: epoch=20/100 train_loss=1.8341 valid_loss=1.8697 stale=0 epoch_train_time=421.77m epoch_valid_time=0.25m epoch_total_time=422.02m eta=34970.7m[0m | |
| [2025-02-11 16:38:47,945] INFO: [1mRank 0: epoch=20/100 train_loss=1.8341 valid_loss=1.8697 stale=0 epoch_train_time=421.77m epoch_valid_time=0.25m epoch_total_time=422.02m eta=34970.7m[0m | |
| [2025-02-11 23:42:26,265] INFO: [1mRank 0: epoch=21/100 train_loss=1.8230 valid_loss=1.8668 stale=0 epoch_train_time=423.29m epoch_valid_time=0.26m epoch_total_time=423.55m eta=34482.8m[0m | |
| [2025-02-11 23:42:26,265] INFO: [1mRank 0: epoch=21/100 train_loss=1.8230 valid_loss=1.8668 stale=0 epoch_train_time=423.29m epoch_valid_time=0.26m epoch_total_time=423.55m eta=34482.8m[0m | |
| [2025-02-12 06:44:45,560] INFO: [1mRank 0: epoch=22/100 train_loss=1.8127 valid_loss=1.8539 stale=0 epoch_train_time=421.96m epoch_valid_time=0.26m epoch_total_time=422.21m eta=33996.1m[0m | |
| [2025-02-12 06:44:45,560] INFO: [1mRank 0: epoch=22/100 train_loss=1.8127 valid_loss=1.8539 stale=0 epoch_train_time=421.96m epoch_valid_time=0.26m epoch_total_time=422.21m eta=33996.1m[0m | |
| [2025-02-12 13:47:09,816] INFO: [1mRank 0: epoch=23/100 train_loss=1.8030 valid_loss=1.8471 stale=0 epoch_train_time=422.04m epoch_valid_time=0.28m epoch_total_time=422.32m eta=33515.2m[0m | |
| [2025-02-12 13:47:09,816] INFO: [1mRank 0: epoch=23/100 train_loss=1.8030 valid_loss=1.8471 stale=0 epoch_train_time=422.04m epoch_valid_time=0.28m epoch_total_time=422.32m eta=33515.2m[0m | |
| [2025-02-12 20:49:42,931] INFO: [1mRank 0: epoch=24/100 train_loss=1.7936 valid_loss=1.8464 stale=0 epoch_train_time=422.20m epoch_valid_time=0.26m epoch_total_time=422.46m eta=33039.7m[0m | |
| [2025-02-12 20:49:42,931] INFO: [1mRank 0: epoch=24/100 train_loss=1.7936 valid_loss=1.8464 stale=0 epoch_train_time=422.20m epoch_valid_time=0.26m epoch_total_time=422.46m eta=33039.7m[0m | |
| [2025-02-13 03:52:12,631] INFO: [1mRank 0: epoch=25/100 train_loss=1.7848 valid_loss=1.8331 stale=0 epoch_train_time=422.15m epoch_valid_time=0.26m epoch_total_time=422.41m eta=32568.3m[0m | |
| [2025-02-13 03:52:12,631] INFO: [1mRank 0: epoch=25/100 train_loss=1.7848 valid_loss=1.8331 stale=0 epoch_train_time=422.15m epoch_valid_time=0.26m epoch_total_time=422.41m eta=32568.3m[0m | |
| [2025-02-13 10:56:04,031] INFO: [1mRank 0: epoch=26/100 train_loss=1.7762 valid_loss=1.8323 stale=0 epoch_train_time=423.51m epoch_valid_time=0.26m epoch_total_time=423.77m eta=32104.5m[0m | |
| [2025-02-13 10:56:04,031] INFO: [1mRank 0: epoch=26/100 train_loss=1.7762 valid_loss=1.8323 stale=0 epoch_train_time=423.51m epoch_valid_time=0.26m epoch_total_time=423.77m eta=32104.5m[0m | |
| [2025-02-13 17:58:13,531] INFO: [1mRank 0: epoch=27/100 train_loss=1.7679 valid_loss=1.8301 stale=0 epoch_train_time=421.81m epoch_valid_time=0.26m epoch_total_time=422.07m eta=31639.0m[0m | |
| [2025-02-13 17:58:13,531] INFO: [1mRank 0: epoch=27/100 train_loss=1.7679 valid_loss=1.8301 stale=0 epoch_train_time=421.81m epoch_valid_time=0.26m epoch_total_time=422.07m eta=31639.0m[0m | |
| [2025-02-14 01:01:21,633] INFO: [1mRank 0: epoch=28/100 train_loss=1.7602 valid_loss=1.8254 stale=0 epoch_train_time=422.79m epoch_valid_time=0.26m epoch_total_time=423.05m eta=31179.2m[0m | |
| [2025-02-14 01:01:21,633] INFO: [1mRank 0: epoch=28/100 train_loss=1.7602 valid_loss=1.8254 stale=0 epoch_train_time=422.79m epoch_valid_time=0.26m epoch_total_time=423.05m eta=31179.2m[0m | |
| [2025-02-14 08:04:43,593] INFO: [1mRank 0: epoch=29/100 train_loss=1.7528 valid_loss=1.8215 stale=0 epoch_train_time=423.03m epoch_valid_time=0.25m epoch_total_time=423.28m eta=30722.4m[0m | |
| [2025-02-14 08:04:43,593] INFO: [1mRank 0: epoch=29/100 train_loss=1.7528 valid_loss=1.8215 stale=0 epoch_train_time=423.03m epoch_valid_time=0.25m epoch_total_time=423.28m eta=30722.4m[0m | |
| [2025-02-14 15:07:24,327] INFO: [1mRank 0: epoch=30/100 train_loss=1.7457 valid_loss=1.8142 stale=0 epoch_train_time=422.32m epoch_valid_time=0.27m epoch_total_time=422.59m eta=30266.3m[0m | |
| [2025-02-14 15:07:24,327] INFO: [1mRank 0: epoch=30/100 train_loss=1.7457 valid_loss=1.8142 stale=0 epoch_train_time=422.32m epoch_valid_time=0.27m epoch_total_time=422.59m eta=30266.3m[0m | |
| [2025-02-14 22:10:43,065] INFO: [1mRank 0: epoch=31/100 train_loss=1.7387 valid_loss=1.8184 stale=1 epoch_train_time=422.98m epoch_valid_time=0.26m epoch_total_time=423.24m eta=29813.8m[0m | |
| [2025-02-14 22:10:43,065] INFO: [1mRank 0: epoch=31/100 train_loss=1.7387 valid_loss=1.8184 stale=1 epoch_train_time=422.98m epoch_valid_time=0.26m epoch_total_time=423.24m eta=29813.8m[0m | |
| [2025-02-15 05:15:08,862] INFO: [1mRank 0: epoch=32/100 train_loss=1.7322 valid_loss=1.8090 stale=0 epoch_train_time=424.06m epoch_valid_time=0.27m epoch_total_time=424.33m eta=29365.4m[0m | |
| [2025-02-15 05:15:08,862] INFO: [1mRank 0: epoch=32/100 train_loss=1.7322 valid_loss=1.8090 stale=0 epoch_train_time=424.06m epoch_valid_time=0.27m epoch_total_time=424.33m eta=29365.4m[0m | |
| [2025-02-15 12:18:35,587] INFO: [1mRank 0: epoch=33/100 train_loss=1.7256 valid_loss=1.8052 stale=0 epoch_train_time=423.11m epoch_valid_time=0.26m epoch_total_time=423.37m eta=28916.5m[0m | |
| [2025-02-15 12:18:35,587] INFO: [1mRank 0: epoch=33/100 train_loss=1.7256 valid_loss=1.8052 stale=0 epoch_train_time=423.11m epoch_valid_time=0.26m epoch_total_time=423.37m eta=28916.5m[0m | |
| [2025-02-15 19:23:47,478] INFO: [1mRank 0: epoch=34/100 train_loss=1.7191 valid_loss=1.7964 stale=0 epoch_train_time=424.76m epoch_valid_time=0.27m epoch_total_time=425.03m eta=28472.5m[0m | |
| [2025-02-15 19:23:47,478] INFO: [1mRank 0: epoch=34/100 train_loss=1.7191 valid_loss=1.7964 stale=0 epoch_train_time=424.76m epoch_valid_time=0.27m epoch_total_time=425.03m eta=28472.5m[0m | |
| [2025-02-16 02:27:06,671] INFO: [1mRank 0: epoch=35/100 train_loss=1.7125 valid_loss=1.8048 stale=1 epoch_train_time=422.98m epoch_valid_time=0.27m epoch_total_time=423.25m eta=28026.1m[0m | |
| [2025-02-16 02:27:06,671] INFO: [1mRank 0: epoch=35/100 train_loss=1.7125 valid_loss=1.8048 stale=1 epoch_train_time=422.98m epoch_valid_time=0.27m epoch_total_time=423.25m eta=28026.1m[0m | |
| [2025-02-16 10:09:28,031] INFO: [1mRank 0: epoch=36/100 train_loss=1.7060 valid_loss=1.8053 stale=2 epoch_train_time=462.05m epoch_valid_time=0.25m epoch_total_time=462.30m eta=27650.4m[0m | |
| [2025-02-16 10:09:28,031] INFO: [1mRank 0: epoch=36/100 train_loss=1.7060 valid_loss=1.8053 stale=2 epoch_train_time=462.05m epoch_valid_time=0.25m epoch_total_time=462.30m eta=27650.4m[0m | |
| [2025-02-16 17:12:06,242] INFO: [1mRank 0: epoch=37/100 train_loss=1.6991 valid_loss=1.7944 stale=0 epoch_train_time=422.31m epoch_valid_time=0.25m epoch_total_time=422.57m eta=27202.3m[0m | |
| [2025-02-16 17:12:06,242] INFO: [1mRank 0: epoch=37/100 train_loss=1.6991 valid_loss=1.7944 stale=0 epoch_train_time=422.31m epoch_valid_time=0.25m epoch_total_time=422.57m eta=27202.3m[0m | |
| [2025-02-17 00:13:27,944] INFO: [1mRank 0: epoch=38/100 train_loss=1.6925 valid_loss=1.7897 stale=0 epoch_train_time=420.99m epoch_valid_time=0.25m epoch_total_time=421.24m eta=26753.6m[0m | |
| [2025-02-17 00:13:27,944] INFO: [1mRank 0: epoch=38/100 train_loss=1.6925 valid_loss=1.7897 stale=0 epoch_train_time=420.99m epoch_valid_time=0.25m epoch_total_time=421.24m eta=26753.6m[0m | |
| [2025-02-17 07:14:29,835] INFO: [1mRank 0: epoch=39/100 train_loss=1.6859 valid_loss=1.7890 stale=0 epoch_train_time=420.71m epoch_valid_time=0.25m epoch_total_time=420.96m eta=26305.7m[0m | |
| [2025-02-17 07:14:29,835] INFO: [1mRank 0: epoch=39/100 train_loss=1.6859 valid_loss=1.7890 stale=0 epoch_train_time=420.71m epoch_valid_time=0.25m epoch_total_time=420.96m eta=26305.7m[0m | |
| [2025-02-17 14:17:20,151] INFO: [1mRank 0: epoch=40/100 train_loss=1.6798 valid_loss=1.7861 stale=0 epoch_train_time=422.48m epoch_valid_time=0.27m epoch_total_time=422.75m eta=25861.8m[0m | |
| [2025-02-17 14:17:20,151] INFO: [1mRank 0: epoch=40/100 train_loss=1.6798 valid_loss=1.7861 stale=0 epoch_train_time=422.48m epoch_valid_time=0.27m epoch_total_time=422.75m eta=25861.8m[0m | |
| [2025-02-17 21:18:50,131] INFO: [1mRank 0: epoch=41/100 train_loss=1.6736 valid_loss=1.7942 stale=1 epoch_train_time=421.18m epoch_valid_time=0.26m epoch_total_time=421.44m eta=25417.1m[0m | |
| [2025-02-17 21:18:50,131] INFO: [1mRank 0: epoch=41/100 train_loss=1.6736 valid_loss=1.7942 stale=1 epoch_train_time=421.18m epoch_valid_time=0.26m epoch_total_time=421.44m eta=25417.1m[0m | |
| [2025-02-18 04:21:23,994] INFO: [1mRank 0: epoch=42/100 train_loss=1.6678 valid_loss=1.7826 stale=0 epoch_train_time=422.21m epoch_valid_time=0.26m epoch_total_time=422.47m eta=24974.9m[0m | |
| [2025-02-18 04:21:23,994] INFO: [1mRank 0: epoch=42/100 train_loss=1.6678 valid_loss=1.7826 stale=0 epoch_train_time=422.21m epoch_valid_time=0.26m epoch_total_time=422.47m eta=24974.9m[0m | |
| [2025-02-18 11:23:51,982] INFO: [1mRank 0: epoch=43/100 train_loss=1.6619 valid_loss=1.7899 stale=1 epoch_train_time=422.16m epoch_valid_time=0.25m epoch_total_time=422.41m eta=24533.5m[0m | |
| [2025-02-18 11:23:51,982] INFO: [1mRank 0: epoch=43/100 train_loss=1.6619 valid_loss=1.7899 stale=1 epoch_train_time=422.16m epoch_valid_time=0.25m epoch_total_time=422.41m eta=24533.5m[0m | |
| [2025-02-18 18:24:34,080] INFO: [1mRank 0: epoch=44/100 train_loss=1.6560 valid_loss=1.7926 stale=2 epoch_train_time=420.39m epoch_valid_time=0.26m epoch_total_time=420.65m eta=24090.8m[0m | |
| [2025-02-18 18:24:34,080] INFO: [1mRank 0: epoch=44/100 train_loss=1.6560 valid_loss=1.7926 stale=2 epoch_train_time=420.39m epoch_valid_time=0.26m epoch_total_time=420.65m eta=24090.8m[0m | |
| [2025-02-19 01:26:50,572] INFO: [1mRank 0: epoch=45/100 train_loss=1.6502 valid_loss=1.7841 stale=3 epoch_train_time=421.97m epoch_valid_time=0.26m epoch_total_time=422.22m eta=23650.9m[0m | |
| [2025-02-19 01:26:50,572] INFO: [1mRank 0: epoch=45/100 train_loss=1.6502 valid_loss=1.7841 stale=3 epoch_train_time=421.97m epoch_valid_time=0.26m epoch_total_time=422.22m eta=23650.9m[0m | |
| [2025-02-19 08:29:32,867] INFO: [1mRank 0: epoch=46/100 train_loss=1.6444 valid_loss=1.7853 stale=4 epoch_train_time=422.36m epoch_valid_time=0.26m epoch_total_time=422.62m eta=23212.3m[0m | |
| [2025-02-19 08:29:32,867] INFO: [1mRank 0: epoch=46/100 train_loss=1.6444 valid_loss=1.7853 stale=4 epoch_train_time=422.36m epoch_valid_time=0.26m epoch_total_time=422.62m eta=23212.3m[0m | |
| [2025-02-19 15:30:47,546] INFO: [1mRank 0: epoch=47/100 train_loss=1.6384 valid_loss=1.7909 stale=5 epoch_train_time=420.92m epoch_valid_time=0.26m epoch_total_time=421.19m eta=22772.7m[0m | |
| [2025-02-19 15:30:47,546] INFO: [1mRank 0: epoch=47/100 train_loss=1.6384 valid_loss=1.7909 stale=5 epoch_train_time=420.92m epoch_valid_time=0.26m epoch_total_time=421.19m eta=22772.7m[0m | |
| [2025-02-19 22:32:26,955] INFO: [1mRank 0: epoch=48/100 train_loss=1.6326 valid_loss=1.7855 stale=6 epoch_train_time=421.34m epoch_valid_time=0.26m epoch_total_time=421.60m eta=22334.4m[0m | |
| [2025-02-19 22:32:26,955] INFO: [1mRank 0: epoch=48/100 train_loss=1.6326 valid_loss=1.7855 stale=6 epoch_train_time=421.34m epoch_valid_time=0.26m epoch_total_time=421.60m eta=22334.4m[0m | |
| [2025-02-19 22:32:27,421] INFO: Breaking due to stale epochs: 6 | |
| [2025-02-19 22:32:27,421] INFO: Breaking due to stale epochs: 6 | |
| [2025-02-19 22:32:27,421] INFO: Training completed. Total time on device 0: 20616.336min | |
| [2025-02-19 22:32:27,421] INFO: Training completed. Total time on device 0: 20616.336min | |
| [2025-02-19 22:32:44,584] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] | |
| [2025-02-19 22:32:44,584] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] | |
| [2025-02-19 22:32:44,765] INFO: [0;34mtest_dataset: cld_edm_ttbar_pf, 5000[0m | |
| [2025-02-19 22:32:44,765] INFO: [0;34mtest_dataset: cld_edm_ttbar_pf, 5000[0m | |
| [2025-02-19 22:32:44,867] INFO: Running predictions on cld_edm_ttbar_pf | |
| [2025-02-19 22:32:44,867] INFO: Running predictions on cld_edm_ttbar_pf | |
| [2025-02-19 22:32:53,838] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_0.parquet | |
| [2025-02-19 22:32:53,838] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_0.parquet | |
| [2025-02-19 22:32:54,845] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_1.parquet | |
| [2025-02-19 22:32:54,845] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_1.parquet | |
| [2025-02-19 22:32:55,650] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_2.parquet | |
| [2025-02-19 22:32:55,650] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_2.parquet | |
| [2025-02-19 22:32:56,547] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_3.parquet | |
| [2025-02-19 22:32:56,547] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_3.parquet | |
| [2025-02-19 22:32:57,272] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_4.parquet | |
| [2025-02-19 22:32:57,272] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_4.parquet | |
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| [2025-02-19 22:32:57,866] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_5.parquet | |
| [2025-02-19 22:32:58,540] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_6.parquet | |
| [2025-02-19 22:32:58,540] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_6.parquet | |
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| [2025-02-19 22:32:59,143] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_7.parquet | |
| [2025-02-19 22:32:59,672] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_8.parquet | |
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| [2025-02-19 22:33:16,862] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_37.parquet | |
| [2025-02-19 22:33:16,862] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_37.parquet | |
| [2025-02-19 22:33:17,443] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_38.parquet | |
| [2025-02-19 22:33:17,443] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_38.parquet | |
| [2025-02-19 22:33:17,678] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_39.parquet | |
| [2025-02-19 22:33:17,678] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_39.parquet | |
| [2025-02-19 22:33:18,000] INFO: Time taken to make predictions on device 0 is: 0.54 min | |
| [2025-02-19 22:33:18,000] INFO: Time taken to make predictions on device 0 is: 0.54 min | |
| [2025-02-19 22:33:18,004] INFO: Plotting distributions for cld_edm_ttbar_pf | |
| [2025-02-19 22:33:18,004] INFO: Plotting distributions for cld_edm_ttbar_pf | |