added May 2024 model
Browse files
cms/2024_05_16_attn_model21M/checkpoint-25-17.631161.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d8a593d279ca3fd58fe3836d49145f634238fc4a7cf808c5df580c4a0bdefb5
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size 255895346
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cms/2024_05_16_attn_model21M/model_fp32.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:fddd236376ab0a119f2db393b19e5fd20269f03ab60525b961ec5157d2a94ce5
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size 85479699
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cms/2024_05_16_attn_model21M/overridden_config.yaml
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backend: pytorch
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checkpoint_freq: 1
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comet: true
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comet_name: particleflow-pt
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comet_offline: false
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comet_step_freq: 10
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config: parameters/pytorch/pyg-cms.yaml
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conv_type: attention
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data_dir: /scratch/persistent/joosep/tensorflow_datasets
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dataset: cms
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dtype: bfloat16
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gpu_batch_multiplier: 40
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gpus: 1
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load: experiments/pyg-cms_20240430_094836_751206/checkpoints/checkpoint-12-17.861217.pth
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lr: 5.0e-05
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lr_schedule: cosinedecay
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lr_schedule_config:
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onecycle:
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pct_start: 0.3
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model:
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attention:
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activation: relu
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attention_type: flash
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conv_type: attention
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dropout_conv_id_ff: 0.0
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dropout_conv_id_mha: 0.0
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dropout_conv_reg_ff: 0.0
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dropout_conv_reg_mha: 0.0
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dropout_ff: 0.0
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head_dim: 16
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num_convs: 6
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num_heads: 32
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cos_phi_mode: linear
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energy_mode: linear
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eta_mode: linear
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gnn_lsh:
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activation: elu
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bin_size: 640
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conv_type: gnn_lsh
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distance_dim: 128
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dropout_ff: 0.0
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embedding_dim: 512
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ffn_dist_hidden_dim: 128
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ffn_dist_num_layers: 2
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layernorm: true
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max_num_bins: 200
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num_convs: 3
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num_node_messages: 2
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width: 512
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input_encoding: joint
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learned_representation_mode: last
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mamba:
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activation: elu
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conv_type: mamba
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d_conv: 4
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d_state: 32
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dropout_ff: 0.0
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embedding_dim: 1024
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expand: 2
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num_convs: 4
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width: 1024
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pt_mode: linear
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sin_phi_mode: linear
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trainable: all
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ntest: null
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ntrain: null
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num_epochs: 100
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num_workers: 4
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nvalid: null
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patience: 20
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prefetch_factor: 50
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ray_train: false
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raytune:
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asha:
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brackets: 1
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grace_period: 10
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max_t: 200
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reduction_factor: 4
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default_metric: val_loss
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default_mode: min
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hyperband:
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max_t: 200
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reduction_factor: 4
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hyperopt:
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n_random_steps: 10
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local_dir: null
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nevergrad:
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n_random_steps: 10
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sched: asha
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search_alg: hyperopt
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sort_data: true
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test_dataset:
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cms_pf_qcd:
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version: 1.7.1
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cms_pf_ttbar:
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version: 1.7.1
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cms_pf_ztt:
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version: 1.7.1
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test_datasets: []
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train: true
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train_dataset:
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cms:
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physical:
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batch_size: 1
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samples:
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cms_pf_qcd:
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version: 1.7.1
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cms_pf_ttbar:
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version: 1.7.1
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cms_pf_ztt:
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version: 1.7.1
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val_freq: null
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valid_dataset:
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cms:
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physical:
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batch_size: 1
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samples:
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cms_pf_qcd:
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version: 1.7.1
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cms_pf_ttbar:
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version: 1.7.1
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cms_pf_ztt:
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version: 1.7.1
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