khaninza commited on
Commit
c4af4b4
1 Parent(s): f01919e

Upload trainer_state.json

Browse files
Files changed (1) hide show
  1. trainer_state.json +2208 -0
trainer_state.json ADDED
@@ -0,0 +1,2208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 363,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 1.0526315789473685e-06,
14
+ "loss": 1.8901,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.02,
19
+ "learning_rate": 2.105263157894737e-06,
20
+ "loss": 1.9537,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.02,
25
+ "learning_rate": 3.157894736842105e-06,
26
+ "loss": 1.9589,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.03,
31
+ "learning_rate": 4.210526315789474e-06,
32
+ "loss": 1.9071,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.04,
37
+ "learning_rate": 5.263157894736842e-06,
38
+ "loss": 1.8846,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.05,
43
+ "learning_rate": 6.31578947368421e-06,
44
+ "loss": 1.8558,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.06,
49
+ "learning_rate": 7.368421052631579e-06,
50
+ "loss": 1.8128,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.07,
55
+ "learning_rate": 8.421052631578948e-06,
56
+ "loss": 1.7392,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.07,
61
+ "learning_rate": 9.473684210526315e-06,
62
+ "loss": 1.7129,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.08,
67
+ "learning_rate": 1.0526315789473684e-05,
68
+ "loss": 1.6144,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.09,
73
+ "learning_rate": 1.1578947368421053e-05,
74
+ "loss": 1.5617,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.1,
79
+ "learning_rate": 1.263157894736842e-05,
80
+ "loss": 1.6225,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.11,
85
+ "learning_rate": 1.3684210526315791e-05,
86
+ "loss": 1.4294,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.12,
91
+ "learning_rate": 1.4736842105263159e-05,
92
+ "loss": 1.4533,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.12,
97
+ "learning_rate": 1.578947368421053e-05,
98
+ "loss": 1.4398,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.13,
103
+ "learning_rate": 1.6842105263157896e-05,
104
+ "loss": 1.3575,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.14,
109
+ "learning_rate": 1.7894736842105264e-05,
110
+ "loss": 1.4498,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.15,
115
+ "learning_rate": 1.894736842105263e-05,
116
+ "loss": 1.3377,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.16,
121
+ "learning_rate": 2e-05,
122
+ "loss": 1.3156,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.17,
127
+ "learning_rate": 1.999958298675784e-05,
128
+ "loss": 1.2075,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.17,
133
+ "learning_rate": 1.999833198181137e-05,
134
+ "loss": 1.1799,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.18,
139
+ "learning_rate": 1.9996247089497703e-05,
140
+ "loss": 1.1307,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.19,
145
+ "learning_rate": 1.9993328483702393e-05,
146
+ "loss": 1.3141,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.2,
151
+ "learning_rate": 1.9989576407844894e-05,
152
+ "loss": 1.2313,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.21,
157
+ "learning_rate": 1.998499117485826e-05,
158
+ "loss": 1.1836,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.21,
163
+ "learning_rate": 1.997957316716307e-05,
164
+ "loss": 1.1769,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.22,
169
+ "learning_rate": 1.9973322836635517e-05,
170
+ "loss": 1.1203,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.23,
175
+ "learning_rate": 1.9966240704569722e-05,
176
+ "loss": 1.1273,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.24,
181
+ "learning_rate": 1.9958327361634248e-05,
182
+ "loss": 1.0204,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.25,
187
+ "learning_rate": 1.9949583467822863e-05,
188
+ "loss": 1.1182,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.26,
193
+ "learning_rate": 1.9940009752399462e-05,
194
+ "loss": 1.105,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 0.26,
199
+ "learning_rate": 1.9929607013837268e-05,
200
+ "loss": 1.1114,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 0.27,
205
+ "learning_rate": 1.991837611975223e-05,
206
+ "loss": 1.0798,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 0.28,
211
+ "learning_rate": 1.990631800683066e-05,
212
+ "loss": 1.075,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 0.29,
217
+ "learning_rate": 1.9893433680751105e-05,
218
+ "loss": 1.0588,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 0.3,
223
+ "learning_rate": 1.9879724216100488e-05,
224
+ "loss": 1.0657,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 0.31,
229
+ "learning_rate": 1.9865190756284467e-05,
230
+ "loss": 1.0628,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 0.31,
235
+ "learning_rate": 1.9849834513432084e-05,
236
+ "loss": 1.0119,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 0.32,
241
+ "learning_rate": 1.983365676829466e-05,
242
+ "loss": 1.0563,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 0.33,
247
+ "learning_rate": 1.981665887013899e-05,
248
+ "loss": 0.9891,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 0.34,
253
+ "learning_rate": 1.9798842236634797e-05,
254
+ "loss": 1.1157,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 0.35,
259
+ "learning_rate": 1.9780208353736493e-05,
260
+ "loss": 1.1446,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 0.36,
265
+ "learning_rate": 1.9760758775559275e-05,
266
+ "loss": 1.0876,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 0.36,
271
+ "learning_rate": 1.9740495124249462e-05,
272
+ "loss": 1.0892,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 0.37,
277
+ "learning_rate": 1.971941908984925e-05,
278
+ "loss": 1.0958,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 0.38,
283
+ "learning_rate": 1.9697532430155718e-05,
284
+ "loss": 1.1405,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 0.39,
289
+ "learning_rate": 1.9674836970574253e-05,
290
+ "loss": 0.963,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 0.4,
295
+ "learning_rate": 1.9651334603966298e-05,
296
+ "loss": 1.0596,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 0.4,
301
+ "learning_rate": 1.962702729049146e-05,
302
+ "loss": 1.2334,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 0.41,
307
+ "learning_rate": 1.960191705744407e-05,
308
+ "loss": 1.0826,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 0.42,
313
+ "learning_rate": 1.957600599908406e-05,
314
+ "loss": 0.9767,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 0.43,
319
+ "learning_rate": 1.9549296276462326e-05,
320
+ "loss": 0.9579,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 0.44,
325
+ "learning_rate": 1.9521790117240472e-05,
326
+ "loss": 0.9171,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 0.45,
331
+ "learning_rate": 1.949348981550502e-05,
332
+ "loss": 1.1456,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 0.45,
337
+ "learning_rate": 1.9464397731576093e-05,
338
+ "loss": 1.0953,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 0.46,
343
+ "learning_rate": 1.943451629181054e-05,
344
+ "loss": 1.137,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 0.47,
349
+ "learning_rate": 1.940384798839957e-05,
350
+ "loss": 1.1126,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 0.48,
355
+ "learning_rate": 1.9372395379160913e-05,
356
+ "loss": 0.9716,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 0.49,
361
+ "learning_rate": 1.9340161087325483e-05,
362
+ "loss": 0.9391,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 0.5,
367
+ "learning_rate": 1.9307147801318585e-05,
368
+ "loss": 1.0386,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 0.5,
373
+ "learning_rate": 1.9273358274535703e-05,
374
+ "loss": 0.9707,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 0.51,
379
+ "learning_rate": 1.9238795325112867e-05,
380
+ "loss": 0.989,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 0.52,
385
+ "learning_rate": 1.9203461835691596e-05,
386
+ "loss": 0.9676,
387
+ "step": 63
388
+ },
389
+ {
390
+ "epoch": 0.53,
391
+ "learning_rate": 1.916736075317848e-05,
392
+ "loss": 1.0501,
393
+ "step": 64
394
+ },
395
+ {
396
+ "epoch": 0.54,
397
+ "learning_rate": 1.9130495088499417e-05,
398
+ "loss": 0.9988,
399
+ "step": 65
400
+ },
401
+ {
402
+ "epoch": 0.55,
403
+ "learning_rate": 1.909286791634848e-05,
404
+ "loss": 1.0927,
405
+ "step": 66
406
+ },
407
+ {
408
+ "epoch": 0.55,
409
+ "learning_rate": 1.905448237493147e-05,
410
+ "loss": 1.0531,
411
+ "step": 67
412
+ },
413
+ {
414
+ "epoch": 0.56,
415
+ "learning_rate": 1.9015341665704206e-05,
416
+ "loss": 1.0239,
417
+ "step": 68
418
+ },
419
+ {
420
+ "epoch": 0.57,
421
+ "learning_rate": 1.8975449053105505e-05,
422
+ "loss": 1.0,
423
+ "step": 69
424
+ },
425
+ {
426
+ "epoch": 0.58,
427
+ "learning_rate": 1.8934807864284904e-05,
428
+ "loss": 0.967,
429
+ "step": 70
430
+ },
431
+ {
432
+ "epoch": 0.59,
433
+ "learning_rate": 1.889342148882519e-05,
434
+ "loss": 1.0019,
435
+ "step": 71
436
+ },
437
+ {
438
+ "epoch": 0.6,
439
+ "learning_rate": 1.8851293378459685e-05,
440
+ "loss": 0.9319,
441
+ "step": 72
442
+ },
443
+ {
444
+ "epoch": 0.6,
445
+ "learning_rate": 1.8808427046784365e-05,
446
+ "loss": 0.9753,
447
+ "step": 73
448
+ },
449
+ {
450
+ "epoch": 0.61,
451
+ "learning_rate": 1.876482606896482e-05,
452
+ "loss": 0.9619,
453
+ "step": 74
454
+ },
455
+ {
456
+ "epoch": 0.62,
457
+ "learning_rate": 1.872049408143808e-05,
458
+ "loss": 0.9042,
459
+ "step": 75
460
+ },
461
+ {
462
+ "epoch": 0.63,
463
+ "learning_rate": 1.8675434781609305e-05,
464
+ "loss": 1.0871,
465
+ "step": 76
466
+ },
467
+ {
468
+ "epoch": 0.64,
469
+ "learning_rate": 1.8629651927543447e-05,
470
+ "loss": 0.9747,
471
+ "step": 77
472
+ },
473
+ {
474
+ "epoch": 0.64,
475
+ "learning_rate": 1.858314933765178e-05,
476
+ "loss": 1.0254,
477
+ "step": 78
478
+ },
479
+ {
480
+ "epoch": 0.65,
481
+ "learning_rate": 1.8535930890373467e-05,
482
+ "loss": 1.0032,
483
+ "step": 79
484
+ },
485
+ {
486
+ "epoch": 0.66,
487
+ "learning_rate": 1.848800052385206e-05,
488
+ "loss": 0.8816,
489
+ "step": 80
490
+ },
491
+ {
492
+ "epoch": 0.67,
493
+ "learning_rate": 1.8439362235607074e-05,
494
+ "loss": 0.9593,
495
+ "step": 81
496
+ },
497
+ {
498
+ "epoch": 0.68,
499
+ "learning_rate": 1.8390020082200553e-05,
500
+ "loss": 1.012,
501
+ "step": 82
502
+ },
503
+ {
504
+ "epoch": 0.69,
505
+ "learning_rate": 1.833997817889878e-05,
506
+ "loss": 1.0523,
507
+ "step": 83
508
+ },
509
+ {
510
+ "epoch": 0.69,
511
+ "learning_rate": 1.828924069932902e-05,
512
+ "loss": 1.0015,
513
+ "step": 84
514
+ },
515
+ {
516
+ "epoch": 0.7,
517
+ "learning_rate": 1.8237811875131446e-05,
518
+ "loss": 0.9485,
519
+ "step": 85
520
+ },
521
+ {
522
+ "epoch": 0.71,
523
+ "learning_rate": 1.8185695995606196e-05,
524
+ "loss": 0.8034,
525
+ "step": 86
526
+ },
527
+ {
528
+ "epoch": 0.72,
529
+ "learning_rate": 1.8132897407355657e-05,
530
+ "loss": 0.9674,
531
+ "step": 87
532
+ },
533
+ {
534
+ "epoch": 0.73,
535
+ "learning_rate": 1.8079420513921913e-05,
536
+ "loss": 1.0236,
537
+ "step": 88
538
+ },
539
+ {
540
+ "epoch": 0.74,
541
+ "learning_rate": 1.802526977541951e-05,
542
+ "loss": 0.9783,
543
+ "step": 89
544
+ },
545
+ {
546
+ "epoch": 0.74,
547
+ "learning_rate": 1.7970449708163455e-05,
548
+ "loss": 1.0106,
549
+ "step": 90
550
+ },
551
+ {
552
+ "epoch": 0.75,
553
+ "learning_rate": 1.7914964884292543e-05,
554
+ "loss": 1.0462,
555
+ "step": 91
556
+ },
557
+ {
558
+ "epoch": 0.76,
559
+ "learning_rate": 1.785881993138803e-05,
560
+ "loss": 0.9723,
561
+ "step": 92
562
+ },
563
+ {
564
+ "epoch": 0.77,
565
+ "learning_rate": 1.7802019532087692e-05,
566
+ "loss": 0.9475,
567
+ "step": 93
568
+ },
569
+ {
570
+ "epoch": 0.78,
571
+ "learning_rate": 1.7744568423695257e-05,
572
+ "loss": 0.9122,
573
+ "step": 94
574
+ },
575
+ {
576
+ "epoch": 0.79,
577
+ "learning_rate": 1.7686471397785322e-05,
578
+ "loss": 0.9502,
579
+ "step": 95
580
+ },
581
+ {
582
+ "epoch": 0.79,
583
+ "learning_rate": 1.7627733299803714e-05,
584
+ "loss": 0.9869,
585
+ "step": 96
586
+ },
587
+ {
588
+ "epoch": 0.8,
589
+ "learning_rate": 1.7568359028663365e-05,
590
+ "loss": 0.8826,
591
+ "step": 97
592
+ },
593
+ {
594
+ "epoch": 0.81,
595
+ "learning_rate": 1.750835353633574e-05,
596
+ "loss": 0.9557,
597
+ "step": 98
598
+ },
599
+ {
600
+ "epoch": 0.82,
601
+ "learning_rate": 1.744772182743782e-05,
602
+ "loss": 0.979,
603
+ "step": 99
604
+ },
605
+ {
606
+ "epoch": 0.83,
607
+ "learning_rate": 1.7386468958814706e-05,
608
+ "loss": 1.0202,
609
+ "step": 100
610
+ },
611
+ {
612
+ "epoch": 0.83,
613
+ "learning_rate": 1.7324600039117862e-05,
614
+ "loss": 1.0266,
615
+ "step": 101
616
+ },
617
+ {
618
+ "epoch": 0.84,
619
+ "learning_rate": 1.7262120228379053e-05,
620
+ "loss": 0.9527,
621
+ "step": 102
622
+ },
623
+ {
624
+ "epoch": 0.85,
625
+ "learning_rate": 1.7199034737579962e-05,
626
+ "loss": 0.9514,
627
+ "step": 103
628
+ },
629
+ {
630
+ "epoch": 0.86,
631
+ "learning_rate": 1.71353488282176e-05,
632
+ "loss": 0.9188,
633
+ "step": 104
634
+ },
635
+ {
636
+ "epoch": 0.87,
637
+ "learning_rate": 1.7071067811865477e-05,
638
+ "loss": 0.8725,
639
+ "step": 105
640
+ },
641
+ {
642
+ "epoch": 0.88,
643
+ "learning_rate": 1.70061970497306e-05,
644
+ "loss": 0.9311,
645
+ "step": 106
646
+ },
647
+ {
648
+ "epoch": 0.88,
649
+ "learning_rate": 1.6940741952206342e-05,
650
+ "loss": 0.9228,
651
+ "step": 107
652
+ },
653
+ {
654
+ "epoch": 0.89,
655
+ "learning_rate": 1.687470797842118e-05,
656
+ "loss": 1.0714,
657
+ "step": 108
658
+ },
659
+ {
660
+ "epoch": 0.9,
661
+ "learning_rate": 1.680810063578342e-05,
662
+ "loss": 0.8246,
663
+ "step": 109
664
+ },
665
+ {
666
+ "epoch": 0.91,
667
+ "learning_rate": 1.6740925479521844e-05,
668
+ "loss": 0.9465,
669
+ "step": 110
670
+ },
671
+ {
672
+ "epoch": 0.92,
673
+ "learning_rate": 1.6673188112222394e-05,
674
+ "loss": 0.9637,
675
+ "step": 111
676
+ },
677
+ {
678
+ "epoch": 0.93,
679
+ "learning_rate": 1.66048941833609e-05,
680
+ "loss": 0.8188,
681
+ "step": 112
682
+ },
683
+ {
684
+ "epoch": 0.93,
685
+ "learning_rate": 1.6536049388831897e-05,
686
+ "loss": 0.864,
687
+ "step": 113
688
+ },
689
+ {
690
+ "epoch": 0.94,
691
+ "learning_rate": 1.646665947047358e-05,
692
+ "loss": 0.8149,
693
+ "step": 114
694
+ },
695
+ {
696
+ "epoch": 0.95,
697
+ "learning_rate": 1.6396730215588913e-05,
698
+ "loss": 0.9013,
699
+ "step": 115
700
+ },
701
+ {
702
+ "epoch": 0.96,
703
+ "learning_rate": 1.6326267456462965e-05,
704
+ "loss": 0.9409,
705
+ "step": 116
706
+ },
707
+ {
708
+ "epoch": 0.97,
709
+ "learning_rate": 1.6255277069876454e-05,
710
+ "loss": 0.9824,
711
+ "step": 117
712
+ },
713
+ {
714
+ "epoch": 0.98,
715
+ "learning_rate": 1.618376497661564e-05,
716
+ "loss": 0.9688,
717
+ "step": 118
718
+ },
719
+ {
720
+ "epoch": 0.98,
721
+ "learning_rate": 1.6111737140978495e-05,
722
+ "loss": 0.8832,
723
+ "step": 119
724
+ },
725
+ {
726
+ "epoch": 0.99,
727
+ "learning_rate": 1.603919957027727e-05,
728
+ "loss": 1.015,
729
+ "step": 120
730
+ },
731
+ {
732
+ "epoch": 1.0,
733
+ "learning_rate": 1.5966158314337472e-05,
734
+ "loss": 0.9867,
735
+ "step": 121
736
+ },
737
+ {
738
+ "epoch": 1.01,
739
+ "learning_rate": 1.589261946499329e-05,
740
+ "loss": 0.9525,
741
+ "step": 122
742
+ },
743
+ {
744
+ "epoch": 1.02,
745
+ "learning_rate": 1.581858915557953e-05,
746
+ "loss": 0.8725,
747
+ "step": 123
748
+ },
749
+ {
750
+ "epoch": 1.02,
751
+ "learning_rate": 1.574407356042005e-05,
752
+ "loss": 0.8788,
753
+ "step": 124
754
+ },
755
+ {
756
+ "epoch": 1.03,
757
+ "learning_rate": 1.5669078894312848e-05,
758
+ "loss": 0.997,
759
+ "step": 125
760
+ },
761
+ {
762
+ "epoch": 1.04,
763
+ "learning_rate": 1.5593611412011685e-05,
764
+ "loss": 0.9908,
765
+ "step": 126
766
+ },
767
+ {
768
+ "epoch": 1.05,
769
+ "learning_rate": 1.551767740770446e-05,
770
+ "loss": 0.8651,
771
+ "step": 127
772
+ },
773
+ {
774
+ "epoch": 1.06,
775
+ "learning_rate": 1.544128321448824e-05,
776
+ "loss": 0.9856,
777
+ "step": 128
778
+ },
779
+ {
780
+ "epoch": 1.07,
781
+ "learning_rate": 1.5364435203841058e-05,
782
+ "loss": 0.9477,
783
+ "step": 129
784
+ },
785
+ {
786
+ "epoch": 1.07,
787
+ "learning_rate": 1.5287139785090534e-05,
788
+ "loss": 0.872,
789
+ "step": 130
790
+ },
791
+ {
792
+ "epoch": 1.08,
793
+ "learning_rate": 1.5209403404879305e-05,
794
+ "loss": 0.882,
795
+ "step": 131
796
+ },
797
+ {
798
+ "epoch": 1.09,
799
+ "learning_rate": 1.5131232546627355e-05,
800
+ "loss": 0.9071,
801
+ "step": 132
802
+ },
803
+ {
804
+ "epoch": 1.1,
805
+ "learning_rate": 1.5052633729991296e-05,
806
+ "loss": 0.9204,
807
+ "step": 133
808
+ },
809
+ {
810
+ "epoch": 1.11,
811
+ "learning_rate": 1.4973613510320595e-05,
812
+ "loss": 0.9915,
813
+ "step": 134
814
+ },
815
+ {
816
+ "epoch": 1.12,
817
+ "learning_rate": 1.4894178478110856e-05,
818
+ "loss": 0.8548,
819
+ "step": 135
820
+ },
821
+ {
822
+ "epoch": 1.12,
823
+ "learning_rate": 1.4814335258454144e-05,
824
+ "loss": 0.8516,
825
+ "step": 136
826
+ },
827
+ {
828
+ "epoch": 1.13,
829
+ "learning_rate": 1.4734090510486435e-05,
830
+ "loss": 0.8408,
831
+ "step": 137
832
+ },
833
+ {
834
+ "epoch": 1.14,
835
+ "learning_rate": 1.4653450926832236e-05,
836
+ "loss": 0.9548,
837
+ "step": 138
838
+ },
839
+ {
840
+ "epoch": 1.15,
841
+ "learning_rate": 1.4572423233046386e-05,
842
+ "loss": 0.8366,
843
+ "step": 139
844
+ },
845
+ {
846
+ "epoch": 1.16,
847
+ "learning_rate": 1.449101418705315e-05,
848
+ "loss": 0.9097,
849
+ "step": 140
850
+ },
851
+ {
852
+ "epoch": 1.17,
853
+ "learning_rate": 1.4409230578582566e-05,
854
+ "loss": 0.9336,
855
+ "step": 141
856
+ },
857
+ {
858
+ "epoch": 1.17,
859
+ "learning_rate": 1.4327079228604177e-05,
860
+ "loss": 0.9178,
861
+ "step": 142
862
+ },
863
+ {
864
+ "epoch": 1.18,
865
+ "learning_rate": 1.4244566988758152e-05,
866
+ "loss": 0.9283,
867
+ "step": 143
868
+ },
869
+ {
870
+ "epoch": 1.19,
871
+ "learning_rate": 1.4161700740783815e-05,
872
+ "loss": 0.8792,
873
+ "step": 144
874
+ },
875
+ {
876
+ "epoch": 1.2,
877
+ "learning_rate": 1.4078487395945712e-05,
878
+ "loss": 0.9653,
879
+ "step": 145
880
+ },
881
+ {
882
+ "epoch": 1.21,
883
+ "learning_rate": 1.3994933894457193e-05,
884
+ "loss": 0.8916,
885
+ "step": 146
886
+ },
887
+ {
888
+ "epoch": 1.21,
889
+ "learning_rate": 1.391104720490156e-05,
890
+ "loss": 0.9913,
891
+ "step": 147
892
+ },
893
+ {
894
+ "epoch": 1.22,
895
+ "learning_rate": 1.3826834323650899e-05,
896
+ "loss": 0.8563,
897
+ "step": 148
898
+ },
899
+ {
900
+ "epoch": 1.23,
901
+ "learning_rate": 1.3742302274282532e-05,
902
+ "loss": 0.9575,
903
+ "step": 149
904
+ },
905
+ {
906
+ "epoch": 1.24,
907
+ "learning_rate": 1.3657458106993257e-05,
908
+ "loss": 0.9216,
909
+ "step": 150
910
+ },
911
+ {
912
+ "epoch": 1.25,
913
+ "learning_rate": 1.3572308898011328e-05,
914
+ "loss": 0.9395,
915
+ "step": 151
916
+ },
917
+ {
918
+ "epoch": 1.26,
919
+ "learning_rate": 1.3486861749006286e-05,
920
+ "loss": 0.8954,
921
+ "step": 152
922
+ },
923
+ {
924
+ "epoch": 1.26,
925
+ "learning_rate": 1.3401123786496664e-05,
926
+ "loss": 0.9628,
927
+ "step": 153
928
+ },
929
+ {
930
+ "epoch": 1.27,
931
+ "learning_rate": 1.3315102161255603e-05,
932
+ "loss": 0.8323,
933
+ "step": 154
934
+ },
935
+ {
936
+ "epoch": 1.28,
937
+ "learning_rate": 1.3228804047714462e-05,
938
+ "loss": 0.8951,
939
+ "step": 155
940
+ },
941
+ {
942
+ "epoch": 1.29,
943
+ "learning_rate": 1.3142236643364481e-05,
944
+ "loss": 0.9588,
945
+ "step": 156
946
+ },
947
+ {
948
+ "epoch": 1.3,
949
+ "learning_rate": 1.3055407168156438e-05,
950
+ "loss": 0.8521,
951
+ "step": 157
952
+ },
953
+ {
954
+ "epoch": 1.31,
955
+ "learning_rate": 1.2968322863898533e-05,
956
+ "loss": 0.9239,
957
+ "step": 158
958
+ },
959
+ {
960
+ "epoch": 1.31,
961
+ "learning_rate": 1.2880990993652379e-05,
962
+ "loss": 0.8886,
963
+ "step": 159
964
+ },
965
+ {
966
+ "epoch": 1.32,
967
+ "learning_rate": 1.2793418841127242e-05,
968
+ "loss": 0.8379,
969
+ "step": 160
970
+ },
971
+ {
972
+ "epoch": 1.33,
973
+ "learning_rate": 1.2705613710072575e-05,
974
+ "loss": 0.9035,
975
+ "step": 161
976
+ },
977
+ {
978
+ "epoch": 1.34,
979
+ "learning_rate": 1.2617582923668855e-05,
980
+ "loss": 0.8227,
981
+ "step": 162
982
+ },
983
+ {
984
+ "epoch": 1.35,
985
+ "learning_rate": 1.2529333823916807e-05,
986
+ "loss": 0.9045,
987
+ "step": 163
988
+ },
989
+ {
990
+ "epoch": 1.36,
991
+ "learning_rate": 1.2440873771025079e-05,
992
+ "loss": 0.8571,
993
+ "step": 164
994
+ },
995
+ {
996
+ "epoch": 1.36,
997
+ "learning_rate": 1.2352210142796359e-05,
998
+ "loss": 0.8233,
999
+ "step": 165
1000
+ },
1001
+ {
1002
+ "epoch": 1.37,
1003
+ "learning_rate": 1.2263350334012059e-05,
1004
+ "loss": 0.9579,
1005
+ "step": 166
1006
+ },
1007
+ {
1008
+ "epoch": 1.38,
1009
+ "learning_rate": 1.2174301755815572e-05,
1010
+ "loss": 0.9478,
1011
+ "step": 167
1012
+ },
1013
+ {
1014
+ "epoch": 1.39,
1015
+ "learning_rate": 1.208507183509416e-05,
1016
+ "loss": 0.8041,
1017
+ "step": 168
1018
+ },
1019
+ {
1020
+ "epoch": 1.4,
1021
+ "learning_rate": 1.199566801385953e-05,
1022
+ "loss": 0.8119,
1023
+ "step": 169
1024
+ },
1025
+ {
1026
+ "epoch": 1.4,
1027
+ "learning_rate": 1.190609774862715e-05,
1028
+ "loss": 0.9701,
1029
+ "step": 170
1030
+ },
1031
+ {
1032
+ "epoch": 1.41,
1033
+ "learning_rate": 1.1816368509794365e-05,
1034
+ "loss": 0.9351,
1035
+ "step": 171
1036
+ },
1037
+ {
1038
+ "epoch": 1.42,
1039
+ "learning_rate": 1.1726487781017337e-05,
1040
+ "loss": 0.8202,
1041
+ "step": 172
1042
+ },
1043
+ {
1044
+ "epoch": 1.43,
1045
+ "learning_rate": 1.1636463058586882e-05,
1046
+ "loss": 0.8849,
1047
+ "step": 173
1048
+ },
1049
+ {
1050
+ "epoch": 1.44,
1051
+ "learning_rate": 1.1546301850803283e-05,
1052
+ "loss": 0.9304,
1053
+ "step": 174
1054
+ },
1055
+ {
1056
+ "epoch": 1.45,
1057
+ "learning_rate": 1.1456011677350052e-05,
1058
+ "loss": 0.9295,
1059
+ "step": 175
1060
+ },
1061
+ {
1062
+ "epoch": 1.45,
1063
+ "learning_rate": 1.1365600068666781e-05,
1064
+ "loss": 0.9849,
1065
+ "step": 176
1066
+ },
1067
+ {
1068
+ "epoch": 1.46,
1069
+ "learning_rate": 1.127507456532108e-05,
1070
+ "loss": 0.7768,
1071
+ "step": 177
1072
+ },
1073
+ {
1074
+ "epoch": 1.47,
1075
+ "learning_rate": 1.1184442717379687e-05,
1076
+ "loss": 1.0072,
1077
+ "step": 178
1078
+ },
1079
+ {
1080
+ "epoch": 1.48,
1081
+ "learning_rate": 1.1093712083778748e-05,
1082
+ "loss": 0.9502,
1083
+ "step": 179
1084
+ },
1085
+ {
1086
+ "epoch": 1.49,
1087
+ "learning_rate": 1.1002890231693395e-05,
1088
+ "loss": 0.7969,
1089
+ "step": 180
1090
+ },
1091
+ {
1092
+ "epoch": 1.5,
1093
+ "learning_rate": 1.0911984735906635e-05,
1094
+ "loss": 0.8685,
1095
+ "step": 181
1096
+ },
1097
+ {
1098
+ "epoch": 1.5,
1099
+ "learning_rate": 1.0821003178177572e-05,
1100
+ "loss": 0.8699,
1101
+ "step": 182
1102
+ },
1103
+ {
1104
+ "epoch": 1.51,
1105
+ "learning_rate": 1.0729953146609076e-05,
1106
+ "loss": 0.9276,
1107
+ "step": 183
1108
+ },
1109
+ {
1110
+ "epoch": 1.52,
1111
+ "learning_rate": 1.0638842235014923e-05,
1112
+ "loss": 0.8302,
1113
+ "step": 184
1114
+ },
1115
+ {
1116
+ "epoch": 1.53,
1117
+ "learning_rate": 1.0547678042286435e-05,
1118
+ "loss": 0.7993,
1119
+ "step": 185
1120
+ },
1121
+ {
1122
+ "epoch": 1.54,
1123
+ "learning_rate": 1.045646817175874e-05,
1124
+ "loss": 0.8794,
1125
+ "step": 186
1126
+ },
1127
+ {
1128
+ "epoch": 1.55,
1129
+ "learning_rate": 1.0365220230576592e-05,
1130
+ "loss": 0.8809,
1131
+ "step": 187
1132
+ },
1133
+ {
1134
+ "epoch": 1.55,
1135
+ "learning_rate": 1.027394182905995e-05,
1136
+ "loss": 0.9458,
1137
+ "step": 188
1138
+ },
1139
+ {
1140
+ "epoch": 1.56,
1141
+ "learning_rate": 1.0182640580069249e-05,
1142
+ "loss": 0.7746,
1143
+ "step": 189
1144
+ },
1145
+ {
1146
+ "epoch": 1.57,
1147
+ "learning_rate": 1.009132409837046e-05,
1148
+ "loss": 0.8053,
1149
+ "step": 190
1150
+ },
1151
+ {
1152
+ "epoch": 1.58,
1153
+ "learning_rate": 1e-05,
1154
+ "loss": 0.8711,
1155
+ "step": 191
1156
+ },
1157
+ {
1158
+ "epoch": 1.59,
1159
+ "learning_rate": 9.908675901629542e-06,
1160
+ "loss": 0.8419,
1161
+ "step": 192
1162
+ },
1163
+ {
1164
+ "epoch": 1.6,
1165
+ "learning_rate": 9.817359419930753e-06,
1166
+ "loss": 0.8391,
1167
+ "step": 193
1168
+ },
1169
+ {
1170
+ "epoch": 1.6,
1171
+ "learning_rate": 9.726058170940053e-06,
1172
+ "loss": 0.8785,
1173
+ "step": 194
1174
+ },
1175
+ {
1176
+ "epoch": 1.61,
1177
+ "learning_rate": 9.634779769423412e-06,
1178
+ "loss": 0.8864,
1179
+ "step": 195
1180
+ },
1181
+ {
1182
+ "epoch": 1.62,
1183
+ "learning_rate": 9.543531828241263e-06,
1184
+ "loss": 0.9405,
1185
+ "step": 196
1186
+ },
1187
+ {
1188
+ "epoch": 1.63,
1189
+ "learning_rate": 9.452321957713563e-06,
1190
+ "loss": 0.8087,
1191
+ "step": 197
1192
+ },
1193
+ {
1194
+ "epoch": 1.64,
1195
+ "learning_rate": 9.361157764985079e-06,
1196
+ "loss": 0.9207,
1197
+ "step": 198
1198
+ },
1199
+ {
1200
+ "epoch": 1.64,
1201
+ "learning_rate": 9.270046853390924e-06,
1202
+ "loss": 0.8302,
1203
+ "step": 199
1204
+ },
1205
+ {
1206
+ "epoch": 1.65,
1207
+ "learning_rate": 9.17899682182243e-06,
1208
+ "loss": 0.9462,
1209
+ "step": 200
1210
+ },
1211
+ {
1212
+ "epoch": 1.66,
1213
+ "learning_rate": 9.088015264093365e-06,
1214
+ "loss": 1.0384,
1215
+ "step": 201
1216
+ },
1217
+ {
1218
+ "epoch": 1.67,
1219
+ "learning_rate": 8.997109768306607e-06,
1220
+ "loss": 0.9399,
1221
+ "step": 202
1222
+ },
1223
+ {
1224
+ "epoch": 1.68,
1225
+ "learning_rate": 8.906287916221259e-06,
1226
+ "loss": 0.8899,
1227
+ "step": 203
1228
+ },
1229
+ {
1230
+ "epoch": 1.69,
1231
+ "learning_rate": 8.81555728262032e-06,
1232
+ "loss": 0.9902,
1233
+ "step": 204
1234
+ },
1235
+ {
1236
+ "epoch": 1.69,
1237
+ "learning_rate": 8.724925434678923e-06,
1238
+ "loss": 0.8855,
1239
+ "step": 205
1240
+ },
1241
+ {
1242
+ "epoch": 1.7,
1243
+ "learning_rate": 8.634399931333226e-06,
1244
+ "loss": 0.8417,
1245
+ "step": 206
1246
+ },
1247
+ {
1248
+ "epoch": 1.71,
1249
+ "learning_rate": 8.543988322649954e-06,
1250
+ "loss": 0.8521,
1251
+ "step": 207
1252
+ },
1253
+ {
1254
+ "epoch": 1.72,
1255
+ "learning_rate": 8.45369814919672e-06,
1256
+ "loss": 0.867,
1257
+ "step": 208
1258
+ },
1259
+ {
1260
+ "epoch": 1.73,
1261
+ "learning_rate": 8.363536941413121e-06,
1262
+ "loss": 0.8874,
1263
+ "step": 209
1264
+ },
1265
+ {
1266
+ "epoch": 1.74,
1267
+ "learning_rate": 8.273512218982666e-06,
1268
+ "loss": 0.8213,
1269
+ "step": 210
1270
+ },
1271
+ {
1272
+ "epoch": 1.74,
1273
+ "learning_rate": 8.183631490205636e-06,
1274
+ "loss": 0.7704,
1275
+ "step": 211
1276
+ },
1277
+ {
1278
+ "epoch": 1.75,
1279
+ "learning_rate": 8.093902251372854e-06,
1280
+ "loss": 0.8162,
1281
+ "step": 212
1282
+ },
1283
+ {
1284
+ "epoch": 1.76,
1285
+ "learning_rate": 8.004331986140474e-06,
1286
+ "loss": 0.8831,
1287
+ "step": 213
1288
+ },
1289
+ {
1290
+ "epoch": 1.77,
1291
+ "learning_rate": 7.914928164905844e-06,
1292
+ "loss": 0.7004,
1293
+ "step": 214
1294
+ },
1295
+ {
1296
+ "epoch": 1.78,
1297
+ "learning_rate": 7.825698244184432e-06,
1298
+ "loss": 0.8225,
1299
+ "step": 215
1300
+ },
1301
+ {
1302
+ "epoch": 1.79,
1303
+ "learning_rate": 7.736649665987944e-06,
1304
+ "loss": 0.823,
1305
+ "step": 216
1306
+ },
1307
+ {
1308
+ "epoch": 1.79,
1309
+ "learning_rate": 7.647789857203644e-06,
1310
+ "loss": 0.8252,
1311
+ "step": 217
1312
+ },
1313
+ {
1314
+ "epoch": 1.8,
1315
+ "learning_rate": 7.559126228974921e-06,
1316
+ "loss": 0.8729,
1317
+ "step": 218
1318
+ },
1319
+ {
1320
+ "epoch": 1.81,
1321
+ "learning_rate": 7.470666176083193e-06,
1322
+ "loss": 0.9415,
1323
+ "step": 219
1324
+ },
1325
+ {
1326
+ "epoch": 1.82,
1327
+ "learning_rate": 7.382417076331148e-06,
1328
+ "loss": 0.9198,
1329
+ "step": 220
1330
+ },
1331
+ {
1332
+ "epoch": 1.83,
1333
+ "learning_rate": 7.294386289927425e-06,
1334
+ "loss": 0.9263,
1335
+ "step": 221
1336
+ },
1337
+ {
1338
+ "epoch": 1.83,
1339
+ "learning_rate": 7.206581158872761e-06,
1340
+ "loss": 0.9364,
1341
+ "step": 222
1342
+ },
1343
+ {
1344
+ "epoch": 1.84,
1345
+ "learning_rate": 7.119009006347625e-06,
1346
+ "loss": 0.8889,
1347
+ "step": 223
1348
+ },
1349
+ {
1350
+ "epoch": 1.85,
1351
+ "learning_rate": 7.031677136101471e-06,
1352
+ "loss": 0.8712,
1353
+ "step": 224
1354
+ },
1355
+ {
1356
+ "epoch": 1.86,
1357
+ "learning_rate": 6.944592831843566e-06,
1358
+ "loss": 0.895,
1359
+ "step": 225
1360
+ },
1361
+ {
1362
+ "epoch": 1.87,
1363
+ "learning_rate": 6.857763356635525e-06,
1364
+ "loss": 0.7805,
1365
+ "step": 226
1366
+ },
1367
+ {
1368
+ "epoch": 1.88,
1369
+ "learning_rate": 6.771195952285541e-06,
1370
+ "loss": 0.7608,
1371
+ "step": 227
1372
+ },
1373
+ {
1374
+ "epoch": 1.88,
1375
+ "learning_rate": 6.684897838744403e-06,
1376
+ "loss": 0.8335,
1377
+ "step": 228
1378
+ },
1379
+ {
1380
+ "epoch": 1.89,
1381
+ "learning_rate": 6.5988762135033405e-06,
1382
+ "loss": 0.8861,
1383
+ "step": 229
1384
+ },
1385
+ {
1386
+ "epoch": 1.9,
1387
+ "learning_rate": 6.513138250993716e-06,
1388
+ "loss": 0.9386,
1389
+ "step": 230
1390
+ },
1391
+ {
1392
+ "epoch": 1.91,
1393
+ "learning_rate": 6.427691101988673e-06,
1394
+ "loss": 0.9067,
1395
+ "step": 231
1396
+ },
1397
+ {
1398
+ "epoch": 1.92,
1399
+ "learning_rate": 6.342541893006746e-06,
1400
+ "loss": 0.9105,
1401
+ "step": 232
1402
+ },
1403
+ {
1404
+ "epoch": 1.93,
1405
+ "learning_rate": 6.257697725717469e-06,
1406
+ "loss": 0.8314,
1407
+ "step": 233
1408
+ },
1409
+ {
1410
+ "epoch": 1.93,
1411
+ "learning_rate": 6.173165676349103e-06,
1412
+ "loss": 0.8538,
1413
+ "step": 234
1414
+ },
1415
+ {
1416
+ "epoch": 1.94,
1417
+ "learning_rate": 6.088952795098442e-06,
1418
+ "loss": 0.7411,
1419
+ "step": 235
1420
+ },
1421
+ {
1422
+ "epoch": 1.95,
1423
+ "learning_rate": 6.00506610554281e-06,
1424
+ "loss": 0.8632,
1425
+ "step": 236
1426
+ },
1427
+ {
1428
+ "epoch": 1.96,
1429
+ "learning_rate": 5.921512604054289e-06,
1430
+ "loss": 0.8846,
1431
+ "step": 237
1432
+ },
1433
+ {
1434
+ "epoch": 1.97,
1435
+ "learning_rate": 5.838299259216187e-06,
1436
+ "loss": 0.8266,
1437
+ "step": 238
1438
+ },
1439
+ {
1440
+ "epoch": 1.98,
1441
+ "learning_rate": 5.755433011241851e-06,
1442
+ "loss": 0.9274,
1443
+ "step": 239
1444
+ },
1445
+ {
1446
+ "epoch": 1.98,
1447
+ "learning_rate": 5.672920771395822e-06,
1448
+ "loss": 0.9221,
1449
+ "step": 240
1450
+ },
1451
+ {
1452
+ "epoch": 1.99,
1453
+ "learning_rate": 5.590769421417435e-06,
1454
+ "loss": 0.8928,
1455
+ "step": 241
1456
+ },
1457
+ {
1458
+ "epoch": 2.0,
1459
+ "learning_rate": 5.50898581294685e-06,
1460
+ "loss": 0.8753,
1461
+ "step": 242
1462
+ },
1463
+ {
1464
+ "epoch": 2.01,
1465
+ "learning_rate": 5.427576766953615e-06,
1466
+ "loss": 0.8497,
1467
+ "step": 243
1468
+ },
1469
+ {
1470
+ "epoch": 2.02,
1471
+ "learning_rate": 5.346549073167766e-06,
1472
+ "loss": 0.7893,
1473
+ "step": 244
1474
+ },
1475
+ {
1476
+ "epoch": 2.02,
1477
+ "learning_rate": 5.265909489513568e-06,
1478
+ "loss": 0.8574,
1479
+ "step": 245
1480
+ },
1481
+ {
1482
+ "epoch": 2.03,
1483
+ "learning_rate": 5.185664741545862e-06,
1484
+ "loss": 0.7664,
1485
+ "step": 246
1486
+ },
1487
+ {
1488
+ "epoch": 2.04,
1489
+ "learning_rate": 5.105821521889147e-06,
1490
+ "loss": 0.7805,
1491
+ "step": 247
1492
+ },
1493
+ {
1494
+ "epoch": 2.05,
1495
+ "learning_rate": 5.026386489679408e-06,
1496
+ "loss": 0.7907,
1497
+ "step": 248
1498
+ },
1499
+ {
1500
+ "epoch": 2.06,
1501
+ "learning_rate": 4.947366270008708e-06,
1502
+ "loss": 0.9125,
1503
+ "step": 249
1504
+ },
1505
+ {
1506
+ "epoch": 2.07,
1507
+ "learning_rate": 4.868767453372649e-06,
1508
+ "loss": 0.9681,
1509
+ "step": 250
1510
+ },
1511
+ {
1512
+ "epoch": 2.07,
1513
+ "learning_rate": 4.790596595120699e-06,
1514
+ "loss": 0.9316,
1515
+ "step": 251
1516
+ },
1517
+ {
1518
+ "epoch": 2.08,
1519
+ "learning_rate": 4.712860214909466e-06,
1520
+ "loss": 0.8419,
1521
+ "step": 252
1522
+ },
1523
+ {
1524
+ "epoch": 2.09,
1525
+ "learning_rate": 4.635564796158946e-06,
1526
+ "loss": 0.8667,
1527
+ "step": 253
1528
+ },
1529
+ {
1530
+ "epoch": 2.1,
1531
+ "learning_rate": 4.558716785511764e-06,
1532
+ "loss": 0.753,
1533
+ "step": 254
1534
+ },
1535
+ {
1536
+ "epoch": 2.11,
1537
+ "learning_rate": 4.482322592295541e-06,
1538
+ "loss": 0.8154,
1539
+ "step": 255
1540
+ },
1541
+ {
1542
+ "epoch": 2.12,
1543
+ "learning_rate": 4.406388587988318e-06,
1544
+ "loss": 0.8494,
1545
+ "step": 256
1546
+ },
1547
+ {
1548
+ "epoch": 2.12,
1549
+ "learning_rate": 4.330921105687155e-06,
1550
+ "loss": 0.7057,
1551
+ "step": 257
1552
+ },
1553
+ {
1554
+ "epoch": 2.13,
1555
+ "learning_rate": 4.255926439579948e-06,
1556
+ "loss": 0.8995,
1557
+ "step": 258
1558
+ },
1559
+ {
1560
+ "epoch": 2.14,
1561
+ "learning_rate": 4.181410844420473e-06,
1562
+ "loss": 0.8642,
1563
+ "step": 259
1564
+ },
1565
+ {
1566
+ "epoch": 2.15,
1567
+ "learning_rate": 4.107380535006709e-06,
1568
+ "loss": 0.7852,
1569
+ "step": 260
1570
+ },
1571
+ {
1572
+ "epoch": 2.16,
1573
+ "learning_rate": 4.033841685662529e-06,
1574
+ "loss": 0.7933,
1575
+ "step": 261
1576
+ },
1577
+ {
1578
+ "epoch": 2.17,
1579
+ "learning_rate": 3.960800429722734e-06,
1580
+ "loss": 0.8312,
1581
+ "step": 262
1582
+ },
1583
+ {
1584
+ "epoch": 2.17,
1585
+ "learning_rate": 3.888262859021508e-06,
1586
+ "loss": 0.8643,
1587
+ "step": 263
1588
+ },
1589
+ {
1590
+ "epoch": 2.18,
1591
+ "learning_rate": 3.81623502338436e-06,
1592
+ "loss": 0.775,
1593
+ "step": 264
1594
+ },
1595
+ {
1596
+ "epoch": 2.19,
1597
+ "learning_rate": 3.7447229301235443e-06,
1598
+ "loss": 0.8607,
1599
+ "step": 265
1600
+ },
1601
+ {
1602
+ "epoch": 2.2,
1603
+ "learning_rate": 3.6737325435370376e-06,
1604
+ "loss": 0.8145,
1605
+ "step": 266
1606
+ },
1607
+ {
1608
+ "epoch": 2.21,
1609
+ "learning_rate": 3.6032697844110896e-06,
1610
+ "loss": 0.8945,
1611
+ "step": 267
1612
+ },
1613
+ {
1614
+ "epoch": 2.21,
1615
+ "learning_rate": 3.5333405295264255e-06,
1616
+ "loss": 0.9856,
1617
+ "step": 268
1618
+ },
1619
+ {
1620
+ "epoch": 2.22,
1621
+ "learning_rate": 3.463950611168111e-06,
1622
+ "loss": 0.8377,
1623
+ "step": 269
1624
+ },
1625
+ {
1626
+ "epoch": 2.23,
1627
+ "learning_rate": 3.395105816639106e-06,
1628
+ "loss": 0.915,
1629
+ "step": 270
1630
+ },
1631
+ {
1632
+ "epoch": 2.24,
1633
+ "learning_rate": 3.326811887777607e-06,
1634
+ "loss": 0.8007,
1635
+ "step": 271
1636
+ },
1637
+ {
1638
+ "epoch": 2.25,
1639
+ "learning_rate": 3.2590745204781537e-06,
1640
+ "loss": 0.8139,
1641
+ "step": 272
1642
+ },
1643
+ {
1644
+ "epoch": 2.26,
1645
+ "learning_rate": 3.191899364216581e-06,
1646
+ "loss": 0.8724,
1647
+ "step": 273
1648
+ },
1649
+ {
1650
+ "epoch": 2.26,
1651
+ "learning_rate": 3.125292021578822e-06,
1652
+ "loss": 0.8596,
1653
+ "step": 274
1654
+ },
1655
+ {
1656
+ "epoch": 2.27,
1657
+ "learning_rate": 3.0592580477936606e-06,
1658
+ "loss": 0.8309,
1659
+ "step": 275
1660
+ },
1661
+ {
1662
+ "epoch": 2.28,
1663
+ "learning_rate": 2.993802950269402e-06,
1664
+ "loss": 0.8712,
1665
+ "step": 276
1666
+ },
1667
+ {
1668
+ "epoch": 2.29,
1669
+ "learning_rate": 2.9289321881345257e-06,
1670
+ "loss": 0.8146,
1671
+ "step": 277
1672
+ },
1673
+ {
1674
+ "epoch": 2.3,
1675
+ "learning_rate": 2.864651171782402e-06,
1676
+ "loss": 0.814,
1677
+ "step": 278
1678
+ },
1679
+ {
1680
+ "epoch": 2.31,
1681
+ "learning_rate": 2.8009652624200436e-06,
1682
+ "loss": 0.7858,
1683
+ "step": 279
1684
+ },
1685
+ {
1686
+ "epoch": 2.31,
1687
+ "learning_rate": 2.7378797716209506e-06,
1688
+ "loss": 0.8521,
1689
+ "step": 280
1690
+ },
1691
+ {
1692
+ "epoch": 2.32,
1693
+ "learning_rate": 2.675399960882138e-06,
1694
+ "loss": 0.9599,
1695
+ "step": 281
1696
+ },
1697
+ {
1698
+ "epoch": 2.33,
1699
+ "learning_rate": 2.6135310411852977e-06,
1700
+ "loss": 0.7842,
1701
+ "step": 282
1702
+ },
1703
+ {
1704
+ "epoch": 2.34,
1705
+ "learning_rate": 2.5522781725621814e-06,
1706
+ "loss": 0.8024,
1707
+ "step": 283
1708
+ },
1709
+ {
1710
+ "epoch": 2.35,
1711
+ "learning_rate": 2.491646463664261e-06,
1712
+ "loss": 0.7793,
1713
+ "step": 284
1714
+ },
1715
+ {
1716
+ "epoch": 2.36,
1717
+ "learning_rate": 2.4316409713366353e-06,
1718
+ "loss": 0.8248,
1719
+ "step": 285
1720
+ },
1721
+ {
1722
+ "epoch": 2.36,
1723
+ "learning_rate": 2.3722667001962898e-06,
1724
+ "loss": 0.7695,
1725
+ "step": 286
1726
+ },
1727
+ {
1728
+ "epoch": 2.37,
1729
+ "learning_rate": 2.3135286022146785e-06,
1730
+ "loss": 0.8053,
1731
+ "step": 287
1732
+ },
1733
+ {
1734
+ "epoch": 2.38,
1735
+ "learning_rate": 2.255431576304744e-06,
1736
+ "loss": 0.8474,
1737
+ "step": 288
1738
+ },
1739
+ {
1740
+ "epoch": 2.39,
1741
+ "learning_rate": 2.1979804679123108e-06,
1742
+ "loss": 0.9379,
1743
+ "step": 289
1744
+ },
1745
+ {
1746
+ "epoch": 2.4,
1747
+ "learning_rate": 2.141180068611971e-06,
1748
+ "loss": 0.8415,
1749
+ "step": 290
1750
+ },
1751
+ {
1752
+ "epoch": 2.4,
1753
+ "learning_rate": 2.08503511570746e-06,
1754
+ "loss": 0.7226,
1755
+ "step": 291
1756
+ },
1757
+ {
1758
+ "epoch": 2.41,
1759
+ "learning_rate": 2.0295502918365473e-06,
1760
+ "loss": 0.8963,
1761
+ "step": 292
1762
+ },
1763
+ {
1764
+ "epoch": 2.42,
1765
+ "learning_rate": 1.9747302245804944e-06,
1766
+ "loss": 0.8423,
1767
+ "step": 293
1768
+ },
1769
+ {
1770
+ "epoch": 2.43,
1771
+ "learning_rate": 1.920579486078091e-06,
1772
+ "loss": 0.7995,
1773
+ "step": 294
1774
+ },
1775
+ {
1776
+ "epoch": 2.44,
1777
+ "learning_rate": 1.8671025926443464e-06,
1778
+ "loss": 0.8051,
1779
+ "step": 295
1780
+ },
1781
+ {
1782
+ "epoch": 2.45,
1783
+ "learning_rate": 1.8143040043938054e-06,
1784
+ "loss": 0.7731,
1785
+ "step": 296
1786
+ },
1787
+ {
1788
+ "epoch": 2.45,
1789
+ "learning_rate": 1.7621881248685569e-06,
1790
+ "loss": 0.8458,
1791
+ "step": 297
1792
+ },
1793
+ {
1794
+ "epoch": 2.46,
1795
+ "learning_rate": 1.7107593006709799e-06,
1796
+ "loss": 0.7302,
1797
+ "step": 298
1798
+ },
1799
+ {
1800
+ "epoch": 2.47,
1801
+ "learning_rate": 1.660021821101222e-06,
1802
+ "loss": 0.881,
1803
+ "step": 299
1804
+ },
1805
+ {
1806
+ "epoch": 2.48,
1807
+ "learning_rate": 1.6099799177994491e-06,
1808
+ "loss": 0.7728,
1809
+ "step": 300
1810
+ },
1811
+ {
1812
+ "epoch": 2.49,
1813
+ "learning_rate": 1.5606377643929305e-06,
1814
+ "loss": 0.8095,
1815
+ "step": 301
1816
+ },
1817
+ {
1818
+ "epoch": 2.5,
1819
+ "learning_rate": 1.5119994761479429e-06,
1820
+ "loss": 0.8324,
1821
+ "step": 302
1822
+ },
1823
+ {
1824
+ "epoch": 2.5,
1825
+ "learning_rate": 1.4640691096265358e-06,
1826
+ "loss": 0.8192,
1827
+ "step": 303
1828
+ },
1829
+ {
1830
+ "epoch": 2.51,
1831
+ "learning_rate": 1.4168506623482202e-06,
1832
+ "loss": 0.7712,
1833
+ "step": 304
1834
+ },
1835
+ {
1836
+ "epoch": 2.52,
1837
+ "learning_rate": 1.3703480724565577e-06,
1838
+ "loss": 0.7861,
1839
+ "step": 305
1840
+ },
1841
+ {
1842
+ "epoch": 2.53,
1843
+ "learning_rate": 1.3245652183906965e-06,
1844
+ "loss": 0.7886,
1845
+ "step": 306
1846
+ },
1847
+ {
1848
+ "epoch": 2.54,
1849
+ "learning_rate": 1.279505918561923e-06,
1850
+ "loss": 0.8942,
1851
+ "step": 307
1852
+ },
1853
+ {
1854
+ "epoch": 2.55,
1855
+ "learning_rate": 1.2351739310351796e-06,
1856
+ "loss": 0.911,
1857
+ "step": 308
1858
+ },
1859
+ {
1860
+ "epoch": 2.55,
1861
+ "learning_rate": 1.1915729532156372e-06,
1862
+ "loss": 0.7743,
1863
+ "step": 309
1864
+ },
1865
+ {
1866
+ "epoch": 2.56,
1867
+ "learning_rate": 1.1487066215403186e-06,
1868
+ "loss": 0.8076,
1869
+ "step": 310
1870
+ },
1871
+ {
1872
+ "epoch": 2.57,
1873
+ "learning_rate": 1.1065785111748117e-06,
1874
+ "loss": 0.7571,
1875
+ "step": 311
1876
+ },
1877
+ {
1878
+ "epoch": 2.58,
1879
+ "learning_rate": 1.0651921357150997e-06,
1880
+ "loss": 0.8203,
1881
+ "step": 312
1882
+ },
1883
+ {
1884
+ "epoch": 2.59,
1885
+ "learning_rate": 1.0245509468944992e-06,
1886
+ "loss": 0.7785,
1887
+ "step": 313
1888
+ },
1889
+ {
1890
+ "epoch": 2.6,
1891
+ "learning_rate": 9.84658334295796e-07,
1892
+ "loss": 0.8648,
1893
+ "step": 314
1894
+ },
1895
+ {
1896
+ "epoch": 2.6,
1897
+ "learning_rate": 9.455176250685338e-07,
1898
+ "loss": 0.8401,
1899
+ "step": 315
1900
+ },
1901
+ {
1902
+ "epoch": 2.61,
1903
+ "learning_rate": 9.071320836515263e-07,
1904
+ "loss": 0.8123,
1905
+ "step": 316
1906
+ },
1907
+ {
1908
+ "epoch": 2.62,
1909
+ "learning_rate": 8.695049115005838e-07,
1910
+ "loss": 0.7879,
1911
+ "step": 317
1912
+ },
1913
+ {
1914
+ "epoch": 2.63,
1915
+ "learning_rate": 8.326392468215206e-07,
1916
+ "loss": 0.8958,
1917
+ "step": 318
1918
+ },
1919
+ {
1920
+ "epoch": 2.64,
1921
+ "learning_rate": 7.965381643084069e-07,
1922
+ "loss": 0.8691,
1923
+ "step": 319
1924
+ },
1925
+ {
1926
+ "epoch": 2.64,
1927
+ "learning_rate": 7.612046748871327e-07,
1928
+ "loss": 0.7841,
1929
+ "step": 320
1930
+ },
1931
+ {
1932
+ "epoch": 2.65,
1933
+ "learning_rate": 7.266417254642966e-07,
1934
+ "loss": 0.7674,
1935
+ "step": 321
1936
+ },
1937
+ {
1938
+ "epoch": 2.66,
1939
+ "learning_rate": 6.928521986814196e-07,
1940
+ "loss": 0.7693,
1941
+ "step": 322
1942
+ },
1943
+ {
1944
+ "epoch": 2.67,
1945
+ "learning_rate": 6.598389126745209e-07,
1946
+ "loss": 0.8653,
1947
+ "step": 323
1948
+ },
1949
+ {
1950
+ "epoch": 2.68,
1951
+ "learning_rate": 6.276046208390873e-07,
1952
+ "loss": 0.8795,
1953
+ "step": 324
1954
+ },
1955
+ {
1956
+ "epoch": 2.69,
1957
+ "learning_rate": 5.961520116004326e-07,
1958
+ "loss": 0.8787,
1959
+ "step": 325
1960
+ },
1961
+ {
1962
+ "epoch": 2.69,
1963
+ "learning_rate": 5.654837081894626e-07,
1964
+ "loss": 0.8687,
1965
+ "step": 326
1966
+ },
1967
+ {
1968
+ "epoch": 2.7,
1969
+ "learning_rate": 5.35602268423906e-07,
1970
+ "loss": 0.8541,
1971
+ "step": 327
1972
+ },
1973
+ {
1974
+ "epoch": 2.71,
1975
+ "learning_rate": 5.065101844949793e-07,
1976
+ "loss": 0.9161,
1977
+ "step": 328
1978
+ },
1979
+ {
1980
+ "epoch": 2.72,
1981
+ "learning_rate": 4.782098827595305e-07,
1982
+ "loss": 0.7652,
1983
+ "step": 329
1984
+ },
1985
+ {
1986
+ "epoch": 2.73,
1987
+ "learning_rate": 4.5070372353767543e-07,
1988
+ "loss": 0.8382,
1989
+ "step": 330
1990
+ },
1991
+ {
1992
+ "epoch": 2.74,
1993
+ "learning_rate": 4.2399400091594154e-07,
1994
+ "loss": 0.9081,
1995
+ "step": 331
1996
+ },
1997
+ {
1998
+ "epoch": 2.74,
1999
+ "learning_rate": 3.9808294255593293e-07,
2000
+ "loss": 0.8119,
2001
+ "step": 332
2002
+ },
2003
+ {
2004
+ "epoch": 2.75,
2005
+ "learning_rate": 3.7297270950854224e-07,
2006
+ "loss": 1.0043,
2007
+ "step": 333
2008
+ },
2009
+ {
2010
+ "epoch": 2.76,
2011
+ "learning_rate": 3.486653960337061e-07,
2012
+ "loss": 0.8723,
2013
+ "step": 334
2014
+ },
2015
+ {
2016
+ "epoch": 2.77,
2017
+ "learning_rate": 3.2516302942574794e-07,
2018
+ "loss": 0.7953,
2019
+ "step": 335
2020
+ },
2021
+ {
2022
+ "epoch": 2.78,
2023
+ "learning_rate": 3.024675698442858e-07,
2024
+ "loss": 0.8223,
2025
+ "step": 336
2026
+ },
2027
+ {
2028
+ "epoch": 2.79,
2029
+ "learning_rate": 2.805809101507539e-07,
2030
+ "loss": 0.9616,
2031
+ "step": 337
2032
+ },
2033
+ {
2034
+ "epoch": 2.79,
2035
+ "learning_rate": 2.595048757505392e-07,
2036
+ "loss": 0.7757,
2037
+ "step": 338
2038
+ },
2039
+ {
2040
+ "epoch": 2.8,
2041
+ "learning_rate": 2.392412244407294e-07,
2042
+ "loss": 0.833,
2043
+ "step": 339
2044
+ },
2045
+ {
2046
+ "epoch": 2.81,
2047
+ "learning_rate": 2.1979164626350745e-07,
2048
+ "loss": 0.8236,
2049
+ "step": 340
2050
+ },
2051
+ {
2052
+ "epoch": 2.82,
2053
+ "learning_rate": 2.0115776336520622e-07,
2054
+ "loss": 0.8654,
2055
+ "step": 341
2056
+ },
2057
+ {
2058
+ "epoch": 2.83,
2059
+ "learning_rate": 1.8334112986100994e-07,
2060
+ "loss": 0.818,
2061
+ "step": 342
2062
+ },
2063
+ {
2064
+ "epoch": 2.83,
2065
+ "learning_rate": 1.6634323170533928e-07,
2066
+ "loss": 0.8791,
2067
+ "step": 343
2068
+ },
2069
+ {
2070
+ "epoch": 2.84,
2071
+ "learning_rate": 1.5016548656791697e-07,
2072
+ "loss": 0.9477,
2073
+ "step": 344
2074
+ },
2075
+ {
2076
+ "epoch": 2.85,
2077
+ "learning_rate": 1.348092437155346e-07,
2078
+ "loss": 0.8957,
2079
+ "step": 345
2080
+ },
2081
+ {
2082
+ "epoch": 2.86,
2083
+ "learning_rate": 1.20275783899515e-07,
2084
+ "loss": 0.8467,
2085
+ "step": 346
2086
+ },
2087
+ {
2088
+ "epoch": 2.87,
2089
+ "learning_rate": 1.0656631924889749e-07,
2090
+ "loss": 0.8196,
2091
+ "step": 347
2092
+ },
2093
+ {
2094
+ "epoch": 2.88,
2095
+ "learning_rate": 9.368199316934446e-08,
2096
+ "loss": 0.7764,
2097
+ "step": 348
2098
+ },
2099
+ {
2100
+ "epoch": 2.88,
2101
+ "learning_rate": 8.162388024777202e-08,
2102
+ "loss": 0.8987,
2103
+ "step": 349
2104
+ },
2105
+ {
2106
+ "epoch": 2.89,
2107
+ "learning_rate": 7.039298616273393e-08,
2108
+ "loss": 0.9182,
2109
+ "step": 350
2110
+ },
2111
+ {
2112
+ "epoch": 2.9,
2113
+ "learning_rate": 5.999024760054095e-08,
2114
+ "loss": 0.8248,
2115
+ "step": 351
2116
+ },
2117
+ {
2118
+ "epoch": 2.91,
2119
+ "learning_rate": 5.041653217713993e-08,
2120
+ "loss": 0.8595,
2121
+ "step": 352
2122
+ },
2123
+ {
2124
+ "epoch": 2.92,
2125
+ "learning_rate": 4.167263836575286e-08,
2126
+ "loss": 0.6834,
2127
+ "step": 353
2128
+ },
2129
+ {
2130
+ "epoch": 2.93,
2131
+ "learning_rate": 3.3759295430281226e-08,
2132
+ "loss": 0.6846,
2133
+ "step": 354
2134
+ },
2135
+ {
2136
+ "epoch": 2.93,
2137
+ "learning_rate": 2.667716336448356e-08,
2138
+ "loss": 0.8627,
2139
+ "step": 355
2140
+ },
2141
+ {
2142
+ "epoch": 2.94,
2143
+ "learning_rate": 2.0426832836930588e-08,
2144
+ "loss": 0.8074,
2145
+ "step": 356
2146
+ },
2147
+ {
2148
+ "epoch": 2.95,
2149
+ "learning_rate": 1.50088251417424e-08,
2150
+ "loss": 0.8568,
2151
+ "step": 357
2152
+ },
2153
+ {
2154
+ "epoch": 2.96,
2155
+ "learning_rate": 1.0423592155108798e-08,
2156
+ "loss": 0.8512,
2157
+ "step": 358
2158
+ },
2159
+ {
2160
+ "epoch": 2.97,
2161
+ "learning_rate": 6.671516297606095e-09,
2162
+ "loss": 0.8249,
2163
+ "step": 359
2164
+ },
2165
+ {
2166
+ "epoch": 2.98,
2167
+ "learning_rate": 3.7529105022970915e-09,
2168
+ "loss": 0.8835,
2169
+ "step": 360
2170
+ },
2171
+ {
2172
+ "epoch": 2.98,
2173
+ "learning_rate": 1.6680181886352676e-09,
2174
+ "loss": 0.8837,
2175
+ "step": 361
2176
+ },
2177
+ {
2178
+ "epoch": 2.99,
2179
+ "learning_rate": 4.170132421610351e-10,
2180
+ "loss": 0.8092,
2181
+ "step": 362
2182
+ },
2183
+ {
2184
+ "epoch": 3.0,
2185
+ "learning_rate": 0.0,
2186
+ "loss": 0.8638,
2187
+ "step": 363
2188
+ },
2189
+ {
2190
+ "epoch": 3.0,
2191
+ "step": 363,
2192
+ "total_flos": 457885308682240.0,
2193
+ "train_loss": 0.9454823605942003,
2194
+ "train_runtime": 6836.4148,
2195
+ "train_samples_per_second": 5.088,
2196
+ "train_steps_per_second": 0.053
2197
+ }
2198
+ ],
2199
+ "logging_steps": 1.0,
2200
+ "max_steps": 363,
2201
+ "num_input_tokens_seen": 0,
2202
+ "num_train_epochs": 3,
2203
+ "save_steps": 500,
2204
+ "total_flos": 457885308682240.0,
2205
+ "train_batch_size": 12,
2206
+ "trial_name": null,
2207
+ "trial_params": null
2208
+ }