psaegert
commited on
Train trajectory_FC and trajectory_FC_large
Browse files- bcnf_traj_bilstm_test_resimulation_data_T2_dt_1_15/config.json +0 -1
- bcnf_traj_bilstm_test_resimulation_data_T2_dt_1_15/loss_history.pkl +0 -3
- bcnf_traj_test_resimulation_data_T2_dt_1_15/config.json +0 -1
- bcnf_traj_test_resimulation_data_T2_dt_1_15/loss_history.pkl +0 -3
- bcnf_traj_test_resimulation_data_T2_dt_1_15/state_dict.pt +0 -3
- bcnf_traj_trf_test_resimulation_data_T2_dt_1_15/config.json +0 -1
- bcnf_traj_trf_test_resimulation_data_T2_dt_1_15/loss_history.pkl +0 -3
- trajectory_FC/config.json +1 -0
- {bcnf_traj_trf_test_resimulation_data_T2_dt_1_15 → trajectory_FC}/state_dict.pt +2 -2
- trajectory_FC_large/config.json +1 -0
- {bcnf_traj_bilstm_test_resimulation_data_T2_dt_1_15 → trajectory_FC_large}/state_dict.pt +2 -2
bcnf_traj_bilstm_test_resimulation_data_T2_dt_1_15/config.json
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{"data_kwargs": {"T": 2, "dt": 0.06666666666666667, "dataset_name": "test_resimulation_data_T2_dt_1_15", "parameter_selection": ["x0_x", "x0_y", "x0_z", "v0_x", "v0_y", "v0_z", "g_x", "g_y", "g_z", "w_x", "w_y", "w_z", "b", "m", "a_x", "a_y", "a_z", "r", "A", "Cd", "rho"], "steps": 30}, "optimizer_kwargs": {"lr": 0.0002}, "lr_scheduler_kwargs": {"mode": "min", "factor": 0.5, "patience": 250, "threshold_mode": "abs", "threshold": 0.1}, "model_kwargs": {"size": 21, "condition_size": 80, "model_nested_size": 16, "model_nested_layers": 7, "model_n_blocks": 32, "model_act_norm": true, "model_dropout": 0.383, "feature_network": null, "time_series_network": "LSTMFeatureNetwork", "time_series_network_input_size": 3, "time_series_network_hidden_size": 16, "time_series_network_num_layers": 1, "time_series_network_dropout": 0.244, "time_series_network_bidirectional": true}}
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bcnf_traj_bilstm_test_resimulation_data_T2_dt_1_15/loss_history.pkl
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bcnf_traj_test_resimulation_data_T2_dt_1_15/config.json
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{"data_kwargs": {"T": 1.5, "dt": 0.06666666666666667, "dataset_name": "test_resimulation_data_T2_dt_1_15", "parameter_selection": ["x0_x", "x0_y", "x0_z", "v0_x", "v0_y", "v0_z", "g_x", "g_y", "g_z", "w_x", "w_y", "w_z", "b", "m", "a_x", "a_y", "a_z", "r", "A", "Cd", "rho"], "steps": 30}, "optimizer_kwargs": {"lr": 0.0002}, "lr_scheduler_kwargs": {"mode": "min", "factor": 0.5, "patience": 250, "threshold_mode": "abs", "threshold": 0.1}, "model_kwargs": {"size": 21, "condition_size": 80, "model_nested_size": 16, "model_nested_layers": 7, "model_n_blocks": 32, "model_act_norm": true, "model_dropout": 0.383, "feature_network_input_size": 90, "feature_network_hidden_size": 59, "feature_network_hidden_layers": 0, "feature_network_dropout": 0.244, "feature_network_batchnorm": false}}
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bcnf_traj_test_resimulation_data_T2_dt_1_15/loss_history.pkl
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bcnf_traj_trf_test_resimulation_data_T2_dt_1_15/config.json
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{"data_kwargs": {"T": 2, "dt": 0.06666666666666667, "dataset_name": "test_resimulation_data_T2_dt_1_15", "parameter_selection": ["x0_x", "x0_y", "x0_z", "v0_x", "v0_y", "v0_z", "g_x", "g_y", "g_z", "w_x", "w_y", "w_z", "b", "m", "a_x", "a_y", "a_z", "r", "A", "Cd", "rho"], "steps": 30}, "optimizer_kwargs": {"lr": 0.0002}, "lr_scheduler_kwargs": {"mode": "min", "factor": 0.5, "patience": 250, "threshold_mode": "abs", "threshold": 0.1}, "model_kwargs": {"size": 21, "condition_size": 80, "model_nested_size": 16, "model_nested_layers": 7, "model_n_blocks": 32, "model_act_norm": true, "model_dropout": 0.383, "feature_network": null, "time_series_network": "Transformer", "time_series_network_d_model": 3, "time_series_network_num_heads": 3, "time_series_network_d_ff": 128, "time_series_network_num_layers": 5}}
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trajectory_FC/config.json
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{"config_path": "/home/psaegert/Projects/bcnf/configs/runs/trajectory_FC.yaml"}
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{bcnf_traj_trf_test_resimulation_data_T2_dt_1_15 → trajectory_FC}/state_dict.pt
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trajectory_FC_large/config.json
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{"config_path": "/home/psaegert/Projects/bcnf/configs/runs/trajectory_FC_large.yaml"}
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{bcnf_traj_bilstm_test_resimulation_data_T2_dt_1_15 → trajectory_FC_large}/state_dict.pt
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