Hugging Face's logo

Falah
/
News_Detection

Text Classification
Adapters
PyTorch
bert
fake news detection
NLP
Model card Files Community
News_Detection
File size: 2,717 Bytes 
7a008b0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 5.0,
  "global_step": 60,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 1.6000000000000003e-05,
      "loss": 0.4916,
      "step": 12
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9361702127659575,
      "eval_f1": 0.9362281082645824,
      "eval_loss": 0.2990593910217285,
      "eval_precision": 0.9371338267036695,
      "eval_recall": 0.9361702127659575,
      "eval_runtime": 20.3046,
      "eval_samples_per_second": 2.315,
      "eval_steps_per_second": 0.148,
      "step": 12
    },
    {
      "epoch": 2.0,
      "learning_rate": 1.2e-05,
      "loss": 0.2834,
      "step": 24
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9574468085106383,
      "eval_f1": 0.957485353068147,
      "eval_loss": 0.1967730075120926,
      "eval_precision": 0.9609929078014184,
      "eval_recall": 0.9574468085106383,
      "eval_runtime": 21.6345,
      "eval_samples_per_second": 2.172,
      "eval_steps_per_second": 0.139,
      "step": 24
    },
    {
      "epoch": 3.0,
      "learning_rate": 8.000000000000001e-06,
      "loss": 0.185,
      "step": 36
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9574468085106383,
      "eval_f1": 0.957485353068147,
      "eval_loss": 0.15521566569805145,
      "eval_precision": 0.9609929078014184,
      "eval_recall": 0.9574468085106383,
      "eval_runtime": 19.4305,
      "eval_samples_per_second": 2.419,
      "eval_steps_per_second": 0.154,
      "step": 36
    },
    {
      "epoch": 4.0,
      "learning_rate": 4.000000000000001e-06,
      "loss": 0.1162,
      "step": 48
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9787234042553191,
      "eval_f1": 0.9787427027548607,
      "eval_loss": 0.09382404386997223,
      "eval_precision": 0.9796484736355227,
      "eval_recall": 0.9787234042553191,
      "eval_runtime": 20.1514,
      "eval_samples_per_second": 2.332,
      "eval_steps_per_second": 0.149,
      "step": 48
    },
    {
      "epoch": 5.0,
      "learning_rate": 0.0,
      "loss": 0.0842,
      "step": 60
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9787234042553191,
      "eval_f1": 0.9787427027548607,
      "eval_loss": 0.09307459741830826,
      "eval_precision": 0.9796484736355227,
      "eval_recall": 0.9787234042553191,
      "eval_runtime": 22.1003,
      "eval_samples_per_second": 2.127,
      "eval_steps_per_second": 0.136,
      "step": 60
    }
  ],
  "max_steps": 60,
  "num_train_epochs": 5,
  "total_flos": 60515542732800.0,
  "trial_name": null,
  "trial_params": null
}