Hugging Face's logo

ogoshi2000
/
stance-longformer

Text Classification
Transformers
PyTorch
longformer
Model card Files
xet
Community
1
stance-longformer
File size: 4,361 Bytes 
fa7e6f6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 4.0,
  "global_step": 1196,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.17,
      "learning_rate": 2.8770903010033445e-05,
      "loss": 1.3149,
      "step": 50
    },
    {
      "epoch": 0.33,
      "learning_rate": 2.7516722408026756e-05,
      "loss": 1.297,
      "step": 100
    },
    {
      "epoch": 0.5,
      "learning_rate": 2.626254180602007e-05,
      "loss": 1.2396,
      "step": 150
    },
    {
      "epoch": 0.67,
      "learning_rate": 2.508361204013378e-05,
      "loss": 1.1525,
      "step": 200
    },
    {
      "epoch": 0.84,
      "learning_rate": 2.382943143812709e-05,
      "loss": 1.1361,
      "step": 250
    },
    {
      "epoch": 1.0,
      "learning_rate": 2.2575250836120402e-05,
      "loss": 1.0224,
      "step": 300
    },
    {
      "epoch": 1.17,
      "learning_rate": 2.1321070234113713e-05,
      "loss": 0.9715,
      "step": 350
    },
    {
      "epoch": 1.34,
      "learning_rate": 2.0066889632107023e-05,
      "loss": 1.0531,
      "step": 400
    },
    {
      "epoch": 1.51,
      "learning_rate": 1.8812709030100337e-05,
      "loss": 0.981,
      "step": 450
    },
    {
      "epoch": 1.67,
      "learning_rate": 1.7558528428093648e-05,
      "loss": 0.97,
      "step": 500
    },
    {
      "epoch": 1.67,
      "eval_accuracy": 0.61875,
      "eval_f1_macro": 0.4388243335611756,
      "eval_f1_micro": 0.61875,
      "eval_f1_unweighted_diskutierend": 0.47619047619047616,
      "eval_f1_unweighted_ja-daf\u00fcr": 0.4912280701754386,
      "eval_f1_unweighted_kein-bezug": 0.7878787878787878,
      "eval_f1_unweighted_nein-dagegen": 0.0,
      "eval_f1_weighted": 0.5780730234677603,
      "eval_loss": 0.9460641145706177,
      "eval_runtime": 61.5083,
      "eval_samples_per_second": 2.601,
      "step": 500
    },
    {
      "epoch": 1.84,
      "learning_rate": 1.6304347826086955e-05,
      "loss": 0.9701,
      "step": 550
    },
    {
      "epoch": 2.01,
      "learning_rate": 1.5050167224080267e-05,
      "loss": 0.9235,
      "step": 600
    },
    {
      "epoch": 2.17,
      "learning_rate": 1.379598662207358e-05,
      "loss": 0.7441,
      "step": 650
    },
    {
      "epoch": 2.34,
      "learning_rate": 1.254180602006689e-05,
      "loss": 0.8782,
      "step": 700
    },
    {
      "epoch": 2.51,
      "learning_rate": 1.1287625418060201e-05,
      "loss": 0.8644,
      "step": 750
    },
    {
      "epoch": 2.68,
      "learning_rate": 1.0033444816053512e-05,
      "loss": 0.7321,
      "step": 800
    },
    {
      "epoch": 2.84,
      "learning_rate": 8.779264214046824e-06,
      "loss": 0.8181,
      "step": 850
    },
    {
      "epoch": 3.01,
      "learning_rate": 7.525083612040134e-06,
      "loss": 0.7836,
      "step": 900
    },
    {
      "epoch": 3.18,
      "learning_rate": 6.270903010033445e-06,
      "loss": 0.653,
      "step": 950
    },
    {
      "epoch": 3.34,
      "learning_rate": 5.016722408026756e-06,
      "loss": 0.6051,
      "step": 1000
    },
    {
      "epoch": 3.34,
      "eval_accuracy": 0.6625,
      "eval_f1_macro": 0.5549999999999999,
      "eval_f1_micro": 0.6625,
      "eval_f1_unweighted_diskutierend": 0.5333333333333333,
      "eval_f1_unweighted_ja-daf\u00fcr": 0.56,
      "eval_f1_unweighted_kein-bezug": 0.8266666666666667,
      "eval_f1_unweighted_nein-dagegen": 0.3,
      "eval_f1_weighted": 0.6507499999999999,
      "eval_loss": 0.9401437044143677,
      "eval_runtime": 61.357,
      "eval_samples_per_second": 2.608,
      "step": 1000
    },
    {
      "epoch": 3.51,
      "learning_rate": 3.762541806020067e-06,
      "loss": 0.6435,
      "step": 1050
    },
    {
      "epoch": 3.68,
      "learning_rate": 2.508361204013378e-06,
      "loss": 0.6506,
      "step": 1100
    },
    {
      "epoch": 3.85,
      "learning_rate": 1.254180602006689e-06,
      "loss": 0.5699,
      "step": 1150
    },
    {
      "epoch": 4.0,
      "step": 1196,
      "total_flos": 1.180320018726912e+16,
      "train_runtime": 10088.4778,
      "train_samples_per_second": 0.119
    }
  ],
  "max_steps": 1196,
  "num_train_epochs": 4,
  "total_flos": 1.180320018726912e+16,
  "trial_name": null,
  "trial_params": null
}