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: 5,497 Bytes 
396490f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
 
{
  "best_metric": 0.722931923188587,
  "best_model_checkpoint": "xlnet-base-cased/checkpoint-1929",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 3215,
  "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
    },
    {
      "epoch": 3.11,
      "learning_rate": 4.4828926905132196e-05,
      "loss": 0.5435,
      "step": 2000
    },
    {
      "epoch": 3.89,
      "learning_rate": 4.353551062726802e-05,
      "loss": 0.4361,
      "step": 2500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8001549186676995,
      "eval_f1_macro": 0.7051095861561788,
      "eval_f1_micro": 0.8001549186676995,
      "eval_f1_weighted": 0.7970808578587494,
      "eval_loss": 0.8849796056747437,
      "eval_macro_fpr": 0.017973543700983616,
      "eval_macro_sensitivity": 0.704754303632947,
      "eval_macro_specificity": 0.984883284344937,
      "eval_precision": 0.8001040615771999,
      "eval_precision_macro": 0.716655759638538,
      "eval_recall": 0.8001549186676995,
      "eval_recall_macro": 0.704754303632947,
      "eval_runtime": 88.029,
      "eval_samples_per_second": 14.666,
      "eval_steps_per_second": 1.84,
      "eval_weighted_fpr": 0.017527173913043478,
      "eval_weighted_sensitivity": 0.8001549186676995,
      "eval_weighted_specificity": 0.9730943465063553,
      "step": 2572
    },
    {
      "epoch": 4.67,
      "learning_rate": 4.223950233281493e-05,
      "loss": 0.3359,
      "step": 3000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.801704105344694,
      "eval_f1_macro": 0.6458763793901992,
      "eval_f1_micro": 0.801704105344694,
      "eval_f1_weighted": 0.7961730342415405,
      "eval_loss": 1.126444935798645,
      "eval_macro_fpr": 0.01805997413754306,
      "eval_macro_sensitivity": 0.6681366041180199,
      "eval_macro_specificity": 0.9849908327913178,
      "eval_precision": 0.7981459541145973,
      "eval_precision_macro": 0.6531140613829887,
      "eval_recall": 0.801704105344694,
      "eval_recall_macro": 0.6681366041180199,
      "eval_runtime": 90.8127,
      "eval_samples_per_second": 14.216,
      "eval_steps_per_second": 1.784,
      "eval_weighted_fpr": 0.0173606401736064,
      "eval_weighted_sensitivity": 0.801704105344694,
      "eval_weighted_specificity": 0.973158386525071,
      "step": 3215
    }
  ],
  "logging_steps": 500,
  "max_steps": 19290,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 7319363341731840.0,
  "trial_name": null,
  "trial_params": null
}