File size: 9,557 Bytes
476b58b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
{
  "best_metric": 0.7667275846579111,
  "best_model_checkpoint": "xlnet-base-cased/checkpoint-4501",
  "epoch": 9.0,
  "eval_steps": 500,
  "global_step": 5787,
  "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
    },
    {
      "epoch": 5.44,
      "learning_rate": 4.0943494038361847e-05,
      "loss": 0.2827,
      "step": 3500
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7993803253292022,
      "eval_f1_macro": 0.7042383323872946,
      "eval_f1_micro": 0.7993803253292022,
      "eval_f1_weighted": 0.7951558065494785,
      "eval_loss": 1.1471006870269775,
      "eval_macro_fpr": 0.01833120632003448,
      "eval_macro_sensitivity": 0.692160115457962,
      "eval_macro_specificity": 0.9845339432297603,
      "eval_precision": 0.8091520232110664,
      "eval_precision_macro": 0.7389074945114087,
      "eval_recall": 0.7993803253292022,
      "eval_recall_macro": 0.692160115457962,
      "eval_runtime": 89.506,
      "eval_samples_per_second": 14.424,
      "eval_steps_per_second": 1.81,
      "eval_weighted_fpr": 0.017610661589719183,
      "eval_weighted_sensitivity": 0.7993803253292022,
      "eval_weighted_specificity": 0.9686288231172028,
      "step": 3858
    },
    {
      "epoch": 6.22,
      "learning_rate": 3.964748574390876e-05,
      "loss": 0.2626,
      "step": 4000
    },
    {
      "epoch": 7.0,
      "learning_rate": 3.835147744945568e-05,
      "loss": 0.1945,
      "step": 4500
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.814872192099148,
      "eval_f1_macro": 0.7667275846579111,
      "eval_f1_micro": 0.814872192099148,
      "eval_f1_weighted": 0.812156980007075,
      "eval_loss": 1.1841164827346802,
      "eval_macro_fpr": 0.016569799909363286,
      "eval_macro_sensitivity": 0.7598143558862378,
      "eval_macro_specificity": 0.9859673331635007,
      "eval_precision": 0.8128843369221012,
      "eval_precision_macro": 0.7850186311075981,
      "eval_recall": 0.814872192099148,
      "eval_recall_macro": 0.7598143558862378,
      "eval_runtime": 89.1729,
      "eval_samples_per_second": 14.477,
      "eval_steps_per_second": 1.817,
      "eval_weighted_fpr": 0.015968463954032203,
      "eval_weighted_sensitivity": 0.814872192099148,
      "eval_weighted_specificity": 0.974637805353365,
      "step": 4501
    },
    {
      "epoch": 7.78,
      "learning_rate": 3.705546915500259e-05,
      "loss": 0.1286,
      "step": 5000
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8079008520526724,
      "eval_f1_macro": 0.728267610383121,
      "eval_f1_micro": 0.8079008520526724,
      "eval_f1_weighted": 0.8067061599230408,
      "eval_loss": 1.3231384754180908,
      "eval_macro_fpr": 0.01714064720569306,
      "eval_macro_sensitivity": 0.7216321376051643,
      "eval_macro_specificity": 0.9855732952526467,
      "eval_precision": 0.8105008603379217,
      "eval_precision_macro": 0.763038482726323,
      "eval_recall": 0.8079008520526724,
      "eval_recall_macro": 0.7216321376051643,
      "eval_runtime": 93.4716,
      "eval_samples_per_second": 13.812,
      "eval_steps_per_second": 1.733,
      "eval_weighted_fpr": 0.0167003367003367,
      "eval_weighted_sensitivity": 0.8079008520526724,
      "eval_weighted_specificity": 0.9756985767370285,
      "step": 5144
    },
    {
      "epoch": 8.55,
      "learning_rate": 3.576205287713841e-05,
      "loss": 0.1304,
      "step": 5500
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8102246320681642,
      "eval_f1_macro": 0.7569552546114842,
      "eval_f1_micro": 0.8102246320681642,
      "eval_f1_weighted": 0.808840893500485,
      "eval_loss": 1.3869109153747559,
      "eval_macro_fpr": 0.017055465242864547,
      "eval_macro_sensitivity": 0.7602881393177737,
      "eval_macro_specificity": 0.9856184320870693,
      "eval_precision": 0.811846243162855,
      "eval_precision_macro": 0.7704913288832418,
      "eval_recall": 0.8102246320681642,
      "eval_recall_macro": 0.7602881393177737,
      "eval_runtime": 88.7368,
      "eval_samples_per_second": 14.549,
      "eval_steps_per_second": 1.826,
      "eval_weighted_fpr": 0.016455101081335213,
      "eval_weighted_sensitivity": 0.8102246320681642,
      "eval_weighted_specificity": 0.9740518492378762,
      "step": 5787
    }
  ],
  "logging_steps": 500,
  "max_steps": 19290,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 1.3174854015117312e+16,
  "trial_name": null,
  "trial_params": null
}