Hugging Face's logo

xshubhamx
/
xlnet-base-cased

Text Classification
Transformers
TensorBoard
Safetensors
xlnet
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
xlnet-base-cased
File size: 3,414 Bytes 
d2ff65c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.722931923188587,
  "best_model_checkpoint": "xlnet-base-cased/checkpoint-1929",
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 1929,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.78,
      "learning_rate": 4.871695178849145e-05,
      "loss": 1.2613,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7676219984508134,
      "eval_f1_macro": 0.4818756771742453,
      "eval_f1_micro": 0.7676219984508135,
      "eval_f1_weighted": 0.7524385212708887,
      "eval_loss": 0.775787353515625,
      "eval_macro_fpr": 0.022019799606126652,
      "eval_macro_sensitivity": 0.5128622254580788,
      "eval_macro_specificity": 0.9823717840367622,
      "eval_precision": 0.7672637518290021,
      "eval_precision_macro": 0.5269420024270713,
      "eval_recall": 0.7676219984508134,
      "eval_recall_macro": 0.5128622254580788,
      "eval_runtime": 65.0712,
      "eval_samples_per_second": 19.84,
      "eval_steps_per_second": 2.49,
      "eval_weighted_fpr": 0.021165514321998025,
      "eval_weighted_sensitivity": 0.7676219984508134,
      "eval_weighted_specificity": 0.9679547621006213,
      "step": 643
    },
    {
      "epoch": 1.56,
      "learning_rate": 4.7420943494038366e-05,
      "loss": 0.7364,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8071262587141751,
      "eval_f1_macro": 0.701878478303997,
      "eval_f1_micro": 0.8071262587141751,
      "eval_f1_weighted": 0.8012788916547595,
      "eval_loss": 0.6754755973815918,
      "eval_macro_fpr": 0.01739858713969909,
      "eval_macro_sensitivity": 0.6971761972643127,
      "eval_macro_specificity": 0.9854830758512745,
      "eval_precision": 0.8087721671110009,
      "eval_precision_macro": 0.7425135911700289,
      "eval_recall": 0.8071262587141751,
      "eval_recall_macro": 0.6971761972643127,
      "eval_runtime": 86.774,
      "eval_samples_per_second": 14.878,
      "eval_steps_per_second": 1.867,
      "eval_weighted_fpr": 0.016782368403316036,
      "eval_weighted_sensitivity": 0.8071262587141751,
      "eval_weighted_specificity": 0.9751198790549438,
      "step": 1286
    },
    {
      "epoch": 2.33,
      "learning_rate": 4.612493519958528e-05,
      "loss": 0.6021,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8063516653756778,
      "eval_f1_macro": 0.722931923188587,
      "eval_f1_micro": 0.8063516653756778,
      "eval_f1_weighted": 0.8013697737227732,
      "eval_loss": 0.8442708253860474,
      "eval_macro_fpr": 0.01757802934678216,
      "eval_macro_sensitivity": 0.7262014539622089,
      "eval_macro_specificity": 0.9852110484486459,
      "eval_precision": 0.8016312862866737,
      "eval_precision_macro": 0.7269969408457856,
      "eval_recall": 0.8063516653756778,
      "eval_recall_macro": 0.7262014539622089,
      "eval_runtime": 89.8454,
      "eval_samples_per_second": 14.369,
      "eval_steps_per_second": 1.803,
      "eval_weighted_fpr": 0.01686454398273071,
      "eval_weighted_sensitivity": 0.8063516653756778,
      "eval_weighted_specificity": 0.9718140613540133,
      "step": 1929
    }
  ],
  "logging_steps": 500,
  "max_steps": 19290,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 4391618005039104.0,
  "trial_name": null,
  "trial_params": null
}