Sync FlowMo training metadata
Browse files
experiments/flowmo/result/paper_training.json
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{
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"method": "flowmo",
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"steps": 20000,
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"batch_size": 256,
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"train_samples": 5120000,
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"final_train_loss": 0.003838971257209778,
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"total_parameters": 663964,
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"target_mode": "absolute_normalized",
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"position_scale": 5.0,
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"heading_weight": 2.0,
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"current_pose_weight": 1.0,
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"motion_weight": 0.5,
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"precision": "bf16",
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"checkpoint_name": "paper.pt",
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"final_checkpoint": "paper.pt",
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"intermediate_checkpoints": [
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"paper_step_002000.pt",
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"paper_step_004000.pt",
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"paper_step_006000.pt",
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"paper_step_008000.pt",
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"paper_step_010000.pt",
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"paper_step_012000.pt",
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"paper_step_014000.pt",
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"paper_step_016000.pt",
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"paper_step_018000.pt",
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"paper_step_020000.pt"
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],
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"checkpoint_interval": 2000,
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"prediction": {
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"pos1": 0.07454978911361347,
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"heading1": 0.04916680386910836,
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"pos3": 0.08039923206282158,
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"heading3": 0.05139941743497426,
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"pos6": 0.09065966509903471,
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"heading6": 0.05502280278597027,
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"pos8": 0.09813052571068208,
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"heading8": 0.05761814404589435,
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"pos10": 0.10625893513982494,
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"heading10": 0.060202051497374974,
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"pos20": 0.15069053896392384,
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"heading20": 0.07164489043255647
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}
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}
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experiments/flowmo/result/paper_training_trace.jsonl
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{"method": "flowmo", "step": 200, "loss": 2.5674960613250732}
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{"method": "flowmo", "step": 400, "loss": 2.5546326637268066}
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{"method": "flowmo", "step": 600, "loss": 2.1885855197906494}
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{"method": "flowmo", "step": 800, "loss": 1.9521373510360718}
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{"method": "flowmo", "step": 1000, "loss": 1.8136850595474243}
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{"method": "flowmo", "step": 1200, "loss": 1.7078666687011719}
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{"method": "flowmo", "step": 1400, "loss": 1.583600401878357}
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{"method": "flowmo", "step": 1600, "loss": 1.4113436937332153}
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{"method": "flowmo", "step": 1800, "loss": 1.1391433477401733}
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{"method": "flowmo", "step": 2000, "loss": 0.843991756439209}
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{"method": "flowmo", "step": 2200, "loss": 0.4143493175506592}
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{"method": "flowmo", "step": 2400, "loss": 0.17534112930297852}
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{"method": "flowmo", "step": 2600, "loss": 0.10404947400093079}
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{"method": "flowmo", "step": 2800, "loss": 0.08960390090942383}
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{"method": "flowmo", "step": 3000, "loss": 0.06150925159454346}
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{"method": "flowmo", "step": 3200, "loss": 0.050643716007471085}
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{"method": "flowmo", "step": 3400, "loss": 0.04722023382782936}
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{"method": "flowmo", "step": 3600, "loss": 0.03910943493247032}
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{"method": "flowmo", "step": 3800, "loss": 0.034517355263233185}
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{"method": "flowmo", "step": 4000, "loss": 0.03372931107878685}
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{"method": "flowmo", "step": 4200, "loss": 0.028907420113682747}
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{"method": "flowmo", "step": 4400, "loss": 0.02713683620095253}
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{"method": "flowmo", "step": 4600, "loss": 0.026512157171964645}
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{"method": "flowmo", "step": 4800, "loss": 0.02357216738164425}
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{"method": "flowmo", "step": 5000, "loss": 0.022205041721463203}
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{"method": "flowmo", "step": 5400, "loss": 0.022753609344363213}
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{"method": "flowmo", "step": 5600, "loss": 0.017359044402837753}
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{"method": "flowmo", "step": 7400, "loss": 0.010919320397078991}
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{"method": "flowmo", "step": 7600, "loss": 0.012034476734697819}
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{"method": "flowmo", "step": 7800, "loss": 0.010465476661920547}
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{"method": "flowmo", "step": 8000, "loss": 0.010064244270324707}
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{"method": "flowmo", "step": 8200, "loss": 0.017180416733026505}
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{"method": "flowmo", "step": 9600, "loss": 0.018835758790373802}
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experiments/flowmo/result/parameter_count.json
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{
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"encoder": 340416,
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"state_history": 75648,
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"context_history": 75648,
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"to_z": 30960,
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"to_c": 17544,
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"base_delta": 45808,
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"residual_delta": 46448,
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"decoder": 31492,
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"total": 663964
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}
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