Hugging Face's logo

FIM4Science
/
FIM-PP

Feature Extraction
Transformers
PyTorch
Safetensors
fimhawkes
time-series
temporal-point-processes
hawkes-processes
scientific-ml
custom_code
Model card Files
xet
 Community
FIM-PP
File size: 2,505 Bytes
9b43be1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
{
  "alpha_decoder": {
    "hidden_act": {
      "name": "torch.nn.GELU"
    },
    "hidden_layers": [
      256,
      256
    ],
    "name": "fim.models.blocks.base.MLP"
  },
  "architectures": [
    "FIMHawkes"
  ],
  "auto_map": {
    "AutoConfig": "configuration_hawkes.FIMHawkesConfig",
    "AutoModel": "modeling_hawkes.FIMHawkes"
  },
  "beta_decoder": {
    "hidden_act": {
      "name": "torch.nn.GELU"
    },
    "hidden_layers": [
      256,
      256
    ],
    "name": "fim.models.blocks.base.MLP"
  },
  "context_summary_encoder": {
    "encoder_layer": {
      "batch_first": true,
      "dropout": 0.0,
      "name": "torch.nn.TransformerEncoderLayer",
      "nhead": 4
    },
    "name": "torch.nn.TransformerEncoder",
    "num_layers": 2
  },
  "context_summary_pooling": {
    "attention": {
      "nhead": 4
    },
    "name": "fim.models.blocks.neural_operators.AttentionOperator",
    "num_res_layers": 1,
    "paths_block_attention": false
  },
  "context_ts_encoder": {
    "encoder_layer": {
      "batch_first": true,
      "dropout": 0.0,
      "name": "torch.nn.TransformerEncoderLayer",
      "nhead": 4
    },
    "name": "torch.nn.TransformerEncoder",
    "num_layers": 4
  },
  "decoder_ts": {
    "decoder_layer": {
      "batch_first": true,
      "dropout": 0.0,
      "name": "torch.nn.TransformerDecoderLayer",
      "nhead": 4
    },
    "name": "torch.nn.TransformerDecoder",
    "num_layers": 4
  },
  "delta_time_encoder": {
    "name": "fim.models.blocks.positional_encodings.SineTimeEncoding",
    "out_features": 256
  },
  "evaluation_mark_encoder": {
    "name": "torch.nn.Linear"
  },
  "hidden_act": {
    "name": "torch.nn.GELU"
  },
  "hidden_dim": 256,
  "loss_weights": {
    "alpha": 0.0,
    "mu": 0.0,
    "nll": 1.0,
    "relative_spike": 0.0,
    "smape": 0.0
  },
  "mark_encoder": {
    "name": "torch.nn.Linear",
    "out_features": 256
  },
  "mark_fusion_attention": null,
  "max_num_marks": 22,
  "mu_decoder": {
    "hidden_act": {
      "name": "torch.nn.GELU"
    },
    "hidden_layers": [
      256,
      256
    ],
    "name": "fim.models.blocks.base.MLP"
  },
  "nll": {
    "method": "monte_carlo",
    "num_integration_points": 200
  },
  "normalize_by_max_time": false,
  "normalize_times": true,
  "thinning": null,
  "time_encoder": {
    "name": "fim.models.blocks.positional_encodings.SineTimeEncoding",
    "out_features": 256
  },
  "torch_dtype": "float32",
  "transformers_version": "4.46.0",
  "model_type": "fimhawkes"
}