Hugging Face's logo

ruanchaves
/
bert-large-portuguese-cased-hatebr

Text Classification
Transformers
PyTorch
Portuguese
bert
Model card Files Community
1
ruanchaves commited on
Commit
f52b213
·
1 Parent(s): 221700a

Upload trainer_state.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. trainer_state.json +271 -0
trainer_state.json ADDED
@@ -0,0 +1,271 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 20.0,
5
+ "global_step": 5600,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "eval_accuracy": 0.9008928537368774,
13
+ "eval_loss": 0.2425430864095688,
14
+ "eval_runtime": 15.3273,
15
+ "eval_samples_per_second": 73.072,
16
+ "eval_steps_per_second": 9.134,
17
+ "step": 280
18
+ },
19
+ {
20
+ "epoch": 1.79,
21
+ "learning_rate": 3.0769035067318356e-05,
22
+ "loss": 0.2497,
23
+ "step": 500
24
+ },
25
+ {
26
+ "epoch": 2.0,
27
+ "eval_accuracy": 0.90625,
28
+ "eval_loss": 0.2671281397342682,
29
+ "eval_runtime": 15.4851,
30
+ "eval_samples_per_second": 72.327,
31
+ "eval_steps_per_second": 9.041,
32
+ "step": 560
33
+ },
34
+ {
35
+ "epoch": 3.0,
36
+ "eval_accuracy": 0.9285714030265808,
37
+ "eval_loss": 0.37120091915130615,
38
+ "eval_runtime": 15.3992,
39
+ "eval_samples_per_second": 72.731,
40
+ "eval_steps_per_second": 9.091,
41
+ "step": 840
42
+ },
43
+ {
44
+ "epoch": 3.57,
45
+ "learning_rate": 2.775246300189499e-05,
46
+ "loss": 0.0886,
47
+ "step": 1000
48
+ },
49
+ {
50
+ "epoch": 4.0,
51
+ "eval_accuracy": 0.9357143044471741,
52
+ "eval_loss": 0.3282666504383087,
53
+ "eval_runtime": 15.4636,
54
+ "eval_samples_per_second": 72.428,
55
+ "eval_steps_per_second": 9.054,
56
+ "step": 1120
57
+ },
58
+ {
59
+ "epoch": 5.0,
60
+ "eval_accuracy": 0.9303571581840515,
61
+ "eval_loss": 0.36973103880882263,
62
+ "eval_runtime": 15.65,
63
+ "eval_samples_per_second": 71.565,
64
+ "eval_steps_per_second": 8.946,
65
+ "step": 1400
66
+ },
67
+ {
68
+ "epoch": 5.36,
69
+ "learning_rate": 2.473589093647162e-05,
70
+ "loss": 0.0277,
71
+ "step": 1500
72
+ },
73
+ {
74
+ "epoch": 6.0,
75
+ "eval_accuracy": 0.9303571581840515,
76
+ "eval_loss": 0.4028499722480774,
77
+ "eval_runtime": 15.6492,
78
+ "eval_samples_per_second": 71.569,
79
+ "eval_steps_per_second": 8.946,
80
+ "step": 1680
81
+ },
82
+ {
83
+ "epoch": 7.0,
84
+ "eval_accuracy": 0.9285714030265808,
85
+ "eval_loss": 0.4771631956100464,
86
+ "eval_runtime": 15.5073,
87
+ "eval_samples_per_second": 72.224,
88
+ "eval_steps_per_second": 9.028,
89
+ "step": 1960
90
+ },
91
+ {
92
+ "epoch": 7.14,
93
+ "learning_rate": 2.1719318871048256e-05,
94
+ "loss": 0.023,
95
+ "step": 2000
96
+ },
97
+ {
98
+ "epoch": 8.0,
99
+ "eval_accuracy": 0.9205357432365417,
100
+ "eval_loss": 0.5438315868377686,
101
+ "eval_runtime": 15.6912,
102
+ "eval_samples_per_second": 71.378,
103
+ "eval_steps_per_second": 8.922,
104
+ "step": 2240
105
+ },
106
+ {
107
+ "epoch": 8.93,
108
+ "learning_rate": 1.8702746805624887e-05,
109
+ "loss": 0.0229,
110
+ "step": 2500
111
+ },
112
+ {
113
+ "epoch": 9.0,
114
+ "eval_accuracy": 0.9276785850524902,
115
+ "eval_loss": 0.51451176404953,
116
+ "eval_runtime": 15.4278,
117
+ "eval_samples_per_second": 72.596,
118
+ "eval_steps_per_second": 9.075,
119
+ "step": 2520
120
+ },
121
+ {
122
+ "epoch": 10.0,
123
+ "eval_accuracy": 0.9223214387893677,
124
+ "eval_loss": 0.4909174144268036,
125
+ "eval_runtime": 15.4206,
126
+ "eval_samples_per_second": 72.63,
127
+ "eval_steps_per_second": 9.079,
128
+ "step": 2800
129
+ },
130
+ {
131
+ "epoch": 10.71,
132
+ "learning_rate": 1.5686174740201518e-05,
133
+ "loss": 0.0151,
134
+ "step": 3000
135
+ },
136
+ {
137
+ "epoch": 11.0,
138
+ "eval_accuracy": 0.9205357432365417,
139
+ "eval_loss": 0.5145156979560852,
140
+ "eval_runtime": 15.4916,
141
+ "eval_samples_per_second": 72.297,
142
+ "eval_steps_per_second": 9.037,
143
+ "step": 3080
144
+ },
145
+ {
146
+ "epoch": 12.0,
147
+ "eval_accuracy": 0.9241071343421936,
148
+ "eval_loss": 0.5320212244987488,
149
+ "eval_runtime": 15.5222,
150
+ "eval_samples_per_second": 72.155,
151
+ "eval_steps_per_second": 9.019,
152
+ "step": 3360
153
+ },
154
+ {
155
+ "epoch": 12.5,
156
+ "learning_rate": 1.2669602674778149e-05,
157
+ "loss": 0.0164,
158
+ "step": 3500
159
+ },
160
+ {
161
+ "epoch": 13.0,
162
+ "eval_accuracy": 0.925000011920929,
163
+ "eval_loss": 0.4845915138721466,
164
+ "eval_runtime": 15.5092,
165
+ "eval_samples_per_second": 72.215,
166
+ "eval_steps_per_second": 9.027,
167
+ "step": 3640
168
+ },
169
+ {
170
+ "epoch": 14.0,
171
+ "eval_accuracy": 0.9232142567634583,
172
+ "eval_loss": 0.5342178344726562,
173
+ "eval_runtime": 15.4696,
174
+ "eval_samples_per_second": 72.4,
175
+ "eval_steps_per_second": 9.05,
176
+ "step": 3920
177
+ },
178
+ {
179
+ "epoch": 14.29,
180
+ "learning_rate": 9.653030609354778e-06,
181
+ "loss": 0.0114,
182
+ "step": 4000
183
+ },
184
+ {
185
+ "epoch": 15.0,
186
+ "eval_accuracy": 0.9241071343421936,
187
+ "eval_loss": 0.5672621726989746,
188
+ "eval_runtime": 15.5099,
189
+ "eval_samples_per_second": 72.212,
190
+ "eval_steps_per_second": 9.027,
191
+ "step": 4200
192
+ },
193
+ {
194
+ "epoch": 16.0,
195
+ "eval_accuracy": 0.9258928298950195,
196
+ "eval_loss": 0.562305748462677,
197
+ "eval_runtime": 15.6284,
198
+ "eval_samples_per_second": 71.664,
199
+ "eval_steps_per_second": 8.958,
200
+ "step": 4480
201
+ },
202
+ {
203
+ "epoch": 16.07,
204
+ "learning_rate": 6.636458543931411e-06,
205
+ "loss": 0.0087,
206
+ "step": 4500
207
+ },
208
+ {
209
+ "epoch": 17.0,
210
+ "eval_accuracy": 0.9258928298950195,
211
+ "eval_loss": 0.5690274238586426,
212
+ "eval_runtime": 15.6003,
213
+ "eval_samples_per_second": 71.793,
214
+ "eval_steps_per_second": 8.974,
215
+ "step": 4760
216
+ },
217
+ {
218
+ "epoch": 17.86,
219
+ "learning_rate": 3.619886478508042e-06,
220
+ "loss": 0.0086,
221
+ "step": 5000
222
+ },
223
+ {
224
+ "epoch": 18.0,
225
+ "eval_accuracy": 0.925000011920929,
226
+ "eval_loss": 0.5821966528892517,
227
+ "eval_runtime": 15.4277,
228
+ "eval_samples_per_second": 72.597,
229
+ "eval_steps_per_second": 9.075,
230
+ "step": 5040
231
+ },
232
+ {
233
+ "epoch": 19.0,
234
+ "eval_accuracy": 0.925000011920929,
235
+ "eval_loss": 0.5867368578910828,
236
+ "eval_runtime": 15.4548,
237
+ "eval_samples_per_second": 72.469,
238
+ "eval_steps_per_second": 9.059,
239
+ "step": 5320
240
+ },
241
+ {
242
+ "epoch": 19.64,
243
+ "learning_rate": 6.033144130846736e-07,
244
+ "loss": 0.0067,
245
+ "step": 5500
246
+ },
247
+ {
248
+ "epoch": 20.0,
249
+ "eval_accuracy": 0.9258928298950195,
250
+ "eval_loss": 0.5937979221343994,
251
+ "eval_runtime": 15.5033,
252
+ "eval_samples_per_second": 72.243,
253
+ "eval_steps_per_second": 9.03,
254
+ "step": 5600
255
+ },
256
+ {
257
+ "epoch": 20.0,
258
+ "step": 5600,
259
+ "total_flos": 2.08752625385472e+16,
260
+ "train_loss": 0.042873825313789506,
261
+ "train_runtime": 6011.0282,
262
+ "train_samples_per_second": 14.906,
263
+ "train_steps_per_second": 0.932
264
+ }
265
+ ],
266
+ "max_steps": 5600,
267
+ "num_train_epochs": 20,
268
+ "total_flos": 2.08752625385472e+16,
269
+ "trial_name": null,
270
+ "trial_params": null
271
+ }