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atal-narayan
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copra-flow

PyTorch
English
physics
optics
ultrafast-optics
tg-frog
pulse-retrieval
flow-matching
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copra-flow
File size: 1,173 Bytes
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{
  "dataset": {
    "cache_shards": 16,
    "data_dir": "data/flow_matching_10k",
    "include_hard_negatives": true,
    "max_shards": null,
    "max_source_weight": 5.0,
    "min_source_weight": 0.0,
    "normalize_trace": true,
    "seed": 42,
    "source_mode": "all",
    "split": "train",
    "split_file": "splits.json",
    "trace_transform": "sqrt",
    "use_source_weights": true,
    "validation_fraction": 0.1
  },
  "loss": {
    "path_noise_std": 0.0,
    "time_eps": 0.0001
  },
  "model": {
    "condition_dim": 256,
    "condition_on_source": false,
    "dropout": 0.0,
    "field_length": 256,
    "hidden_channels": 128,
    "residual_blocks": 8,
    "time_embedding_dim": 128,
    "trace_base_channels": 24,
    "trace_layers": 4
  },
  "training": {
    "amp": true,
    "batch_size": 64,
    "checkpoint_every": 1,
    "compile_model": false,
    "device": "cuda",
    "epochs": 50,
    "grad_clip_norm": 1.0,
    "learning_rate": 0.0003,
    "log_every": 25,
    "max_train_batches": null,
    "max_val_batches": null,
    "num_workers": 4,
    "out_dir": "runs/copra-flow",
    "seed": 42,
    "validate_every": 1,
    "weight_decay": 0.0001
  }
}