Hugging Face's logo

ryousuf569
/
finbert-macro

Text Classification
Safetensors
English
bert
finance
financial-nlp
sentiment-analysis
macroeconomics
Model card Files
xet
 Community
finbert-macro
File size: 3,145 Bytes
440bdf5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "tag": "mix65_unfreeze6_full32k",
  "model_dir": "models\\mix65_unfreeze6_full32k",
  "macro_share": 0.65,
  "unfreeze_top_layers": 6,
  "seed": 42,
  "epochs_ceiling": 16,
  "epochs_run": 7,
  "criterion": "macro_floored",
  "tolerance": 0.01,
  "mix": {
    "macro_share": 0.65,
    "policy": "fixed_total",
    "total": 32000,
    "n_macro": 20800,
    "n_corporate": 11200,
    "macro_upsample": 1.0,
    "corporate_upsample": 1.0,
    "n_macro_synthetic": 1817,
    "label_counts": {
      "2": 13584,
      "0": 10537,
      "1": 7879
    }
  },
  "precision": {
    "fp16": true,
    "bf16": false,
    "reason": "NVIDIA GeForce GTX 1660 Ti sm_75 no native bf16"
  },
  "selection": {
    "criterion": "macro_floored",
    "corporate_floor": 0.712656632790316,
    "best_score": 1.715931047218585,
    "best_epoch": 5.0,
    "history": [
      {
        "epoch": 1.0,
        "step": 1000,
        "macro_val_acc": 0.6313853698406212,
        "macro_val_f1": 0.6331539523789201,
        "corporate_val_acc": 0.8095009596928983,
        "corporate_val_f1": 0.797987307011303,
        "score": 1.6331539523789202,
        "is_best": true
      },
      {
        "epoch": 2.0,
        "step": 2000,
        "macro_val_acc": 0.6947282386595831,
        "macro_val_f1": 0.6940865713786276,
        "corporate_val_acc": 0.8406909788867563,
        "corporate_val_f1": 0.8312950922765591,
        "score": 1.6940865713786275,
        "is_best": true
      },
      {
        "epoch": 3.0,
        "step": 3000,
        "macro_val_acc": 0.7151614221495709,
        "macro_val_f1": 0.7150946803506621,
        "corporate_val_acc": 0.8522072936660269,
        "corporate_val_f1": 0.8468924856094882,
        "score": 1.7150946803506621,
        "is_best": true
      },
      {
        "epoch": 4.0,
        "step": 4000,
        "macro_val_acc": 0.7131181038005722,
        "macro_val_f1": 0.7131539477621897,
        "corporate_val_acc": 0.8574856046065259,
        "corporate_val_f1": 0.8496864160901788,
        "score": 1.7131539477621898,
        "is_best": false
      },
      {
        "epoch": 5.0,
        "step": 5000,
        "macro_val_acc": 0.7151614221495709,
        "macro_val_f1": 0.7159310472185848,
        "corporate_val_acc": 0.8555662188099808,
        "corporate_val_f1": 0.8467967784591366,
        "score": 1.715931047218585,
        "is_best": true
      },
      {
        "epoch": 6.0,
        "step": 6000,
        "macro_val_acc": 0.6975888843481814,
        "macro_val_f1": 0.6972553572452421,
        "corporate_val_acc": 0.8459692898272553,
        "corporate_val_f1": 0.8387254784627061,
        "score": 1.697255357245242,
        "is_best": false
      },
      {
        "epoch": 7.0,
        "step": 7000,
        "macro_val_acc": 0.7024928483857785,
        "macro_val_f1": 0.7025371437055846,
        "corporate_val_acc": 0.8550863723608445,
        "corporate_val_f1": 0.8473720194671822,
        "score": 1.7025371437055847,
        "is_best": false
      }
    ]
  },
  "minutes": 144.56
}