AmberYifan commited on
Commit
1a4c637
·
verified ·
1 Parent(s): 5e798e7

Model save

Browse files
all_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "epoch": 1.0,
3
- "total_flos": 11777605632000.0,
4
- "train_loss": 1.5383918571472168,
5
- "train_runtime": 1636.4794,
6
- "train_samples": 50301,
7
- "train_samples_per_second": 4.388,
8
- "train_steps_per_second": 0.137
9
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "total_flos": 17631303106560.0,
4
+ "train_loss": 1.5734304829583439,
5
+ "train_runtime": 5865.6403,
6
+ "train_samples": 50000,
7
+ "train_samples_per_second": 8.524,
8
+ "train_steps_per_second": 0.266
9
  }
runs/Dec19_00-39-24_gilbreth-j001.rcac.purdue.edu/events.out.tfevents.1734586892.gilbreth-j001.rcac.purdue.edu.92305.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:223681660f8b5aaf68d0bb309401b6594b099f299ee4fedb436f1df5f3dc90f2
3
- size 72314
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96f04f30ad5a9d1dfaa14f51300aa16424425a96fb06d9ca40d336322e4d6213
3
+ size 72668
train_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "epoch": 1.0,
3
- "total_flos": 11777605632000.0,
4
- "train_loss": 1.5383918571472168,
5
- "train_runtime": 1636.4794,
6
- "train_samples": 50301,
7
- "train_samples_per_second": 4.388,
8
- "train_steps_per_second": 0.137
9
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "total_flos": 17631303106560.0,
4
+ "train_loss": 1.5734304829583439,
5
+ "train_runtime": 5865.6403,
6
+ "train_samples": 50000,
7
+ "train_samples_per_second": 8.524,
8
+ "train_steps_per_second": 0.266
9
  }
trainer_state.json CHANGED
@@ -3,353 +3,2222 @@
3
  "best_model_checkpoint": null,
4
  "epoch": 1.0,
5
  "eval_steps": 500,
6
- "global_step": 225,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.0044444444444444444,
13
- "grad_norm": 16.902174244065552,
14
- "learning_rate": 8.695652173913044e-07,
15
- "loss": 2.0963,
16
  "step": 1
17
  },
18
  {
19
- "epoch": 0.022222222222222223,
20
- "grad_norm": 7.009398687249402,
21
- "learning_rate": 4.347826086956522e-06,
22
- "loss": 2.0386,
23
  "step": 5
24
  },
25
  {
26
- "epoch": 0.044444444444444446,
27
- "grad_norm": 3.847165431793462,
28
- "learning_rate": 8.695652173913044e-06,
29
- "loss": 1.8407,
30
  "step": 10
31
  },
32
  {
33
- "epoch": 0.06666666666666667,
34
- "grad_norm": 1.8435387905194667,
35
- "learning_rate": 1.3043478260869566e-05,
36
- "loss": 1.7046,
37
  "step": 15
38
  },
39
  {
40
- "epoch": 0.08888888888888889,
41
- "grad_norm": 1.5416577043323643,
42
- "learning_rate": 1.739130434782609e-05,
43
- "loss": 1.6393,
44
  "step": 20
45
  },
46
  {
47
- "epoch": 0.1111111111111111,
48
- "grad_norm": 1.4298947508822206,
49
- "learning_rate": 1.999516282291988e-05,
50
- "loss": 1.6362,
51
  "step": 25
52
  },
53
  {
54
- "epoch": 0.13333333333333333,
55
- "grad_norm": 1.3933473839401893,
56
- "learning_rate": 1.9940798309400527e-05,
57
- "loss": 1.6027,
58
  "step": 30
59
  },
60
  {
61
- "epoch": 0.15555555555555556,
62
- "grad_norm": 1.518431185821292,
63
- "learning_rate": 1.982635248222264e-05,
64
- "loss": 1.6116,
65
  "step": 35
66
  },
67
  {
68
- "epoch": 0.17777777777777778,
69
- "grad_norm": 1.4964220141465232,
70
- "learning_rate": 1.9652517041934357e-05,
71
- "loss": 1.6207,
72
  "step": 40
73
  },
74
  {
75
- "epoch": 0.2,
76
- "grad_norm": 1.3273747890888088,
77
- "learning_rate": 1.9420342634699893e-05,
78
- "loss": 1.5851,
79
  "step": 45
80
  },
81
  {
82
- "epoch": 0.2222222222222222,
83
- "grad_norm": 1.3559947683219293,
84
- "learning_rate": 1.913123250228619e-05,
85
- "loss": 1.5698,
86
  "step": 50
87
  },
88
  {
89
- "epoch": 0.24444444444444444,
90
- "grad_norm": 1.4346793931071362,
91
- "learning_rate": 1.878693400099269e-05,
92
- "loss": 1.5886,
93
  "step": 55
94
  },
95
  {
96
- "epoch": 0.26666666666666666,
97
- "grad_norm": 1.4956510210420204,
98
- "learning_rate": 1.8389528040783014e-05,
99
- "loss": 1.5665,
100
  "step": 60
101
  },
102
  {
103
- "epoch": 0.28888888888888886,
104
- "grad_norm": 1.2995167467095625,
105
- "learning_rate": 1.7941416508447537e-05,
106
- "loss": 1.5525,
107
  "step": 65
108
  },
109
  {
110
- "epoch": 0.3111111111111111,
111
- "grad_norm": 1.3135664549473283,
112
- "learning_rate": 1.7445307750810153e-05,
113
- "loss": 1.5339,
114
  "step": 70
115
  },
116
  {
117
- "epoch": 0.3333333333333333,
118
- "grad_norm": 1.2301844065790093,
119
- "learning_rate": 1.690420020571747e-05,
120
- "loss": 1.5359,
121
  "step": 75
122
  },
123
  {
124
- "epoch": 0.35555555555555557,
125
- "grad_norm": 1.241596243663996,
126
- "learning_rate": 1.6321364279743267e-05,
127
- "loss": 1.5251,
128
  "step": 80
129
  },
130
  {
131
- "epoch": 0.37777777777777777,
132
- "grad_norm": 1.3171185796153217,
133
- "learning_rate": 1.570032258213783e-05,
134
- "loss": 1.5166,
135
  "step": 85
136
  },
137
  {
138
- "epoch": 0.4,
139
- "grad_norm": 1.2799777894642266,
140
- "learning_rate": 1.50448286344864e-05,
141
- "loss": 1.5316,
142
  "step": 90
143
  },
144
  {
145
- "epoch": 0.4222222222222222,
146
- "grad_norm": 1.2503649653962412,
147
- "learning_rate": 1.4358844184753713e-05,
148
- "loss": 1.5384,
149
  "step": 95
150
  },
151
  {
152
- "epoch": 0.4444444444444444,
153
- "grad_norm": 1.2234087623622982,
154
- "learning_rate": 1.3646515262826551e-05,
155
- "loss": 1.5068,
156
  "step": 100
157
  },
158
  {
159
- "epoch": 0.4666666666666667,
160
- "grad_norm": 1.2352190020575813,
161
- "learning_rate": 1.2912147122272523e-05,
162
- "loss": 1.5157,
163
  "step": 105
164
  },
165
  {
166
- "epoch": 0.4888888888888889,
167
- "grad_norm": 1.2137578254278512,
168
- "learning_rate": 1.2160178219764838e-05,
169
- "loss": 1.4907,
170
  "step": 110
171
  },
172
  {
173
- "epoch": 0.5111111111111111,
174
- "grad_norm": 1.2333755755507012,
175
- "learning_rate": 1.1395153389439232e-05,
176
- "loss": 1.4864,
177
  "step": 115
178
  },
179
  {
180
- "epoch": 0.5333333333333333,
181
- "grad_norm": 1.239317098102939,
182
- "learning_rate": 1.0621696374314807e-05,
183
- "loss": 1.4872,
184
  "step": 120
185
  },
186
  {
187
- "epoch": 0.5555555555555556,
188
- "grad_norm": 1.1935616120101977,
189
- "learning_rate": 9.844481880796492e-06,
190
- "loss": 1.5288,
191
  "step": 125
192
  },
193
  {
194
- "epoch": 0.5777777777777777,
195
- "grad_norm": 1.167038478793757,
196
- "learning_rate": 9.068207325159285e-06,
197
- "loss": 1.4918,
198
  "step": 130
199
  },
200
  {
201
- "epoch": 0.6,
202
- "grad_norm": 1.2606116528575086,
203
- "learning_rate": 8.297564442776014e-06,
204
- "loss": 1.4989,
205
  "step": 135
206
  },
207
  {
208
- "epoch": 0.6222222222222222,
209
- "grad_norm": 1.2053439169353648,
210
- "learning_rate": 7.537210931679988e-06,
211
- "loss": 1.499,
212
  "step": 140
213
  },
214
  {
215
- "epoch": 0.6444444444444445,
216
- "grad_norm": 1.2078865568862998,
217
- "learning_rate": 6.791742301846325e-06,
218
- "loss": 1.5059,
219
  "step": 145
220
  },
221
  {
222
- "epoch": 0.6666666666666666,
223
- "grad_norm": 1.181773149819734,
224
- "learning_rate": 6.065664100332478e-06,
225
- "loss": 1.482,
226
  "step": 150
227
  },
228
  {
229
- "epoch": 0.6888888888888889,
230
- "grad_norm": 1.1586295971120542,
231
- "learning_rate": 5.3633646801467255e-06,
232
- "loss": 1.4776,
233
  "step": 155
234
  },
235
  {
236
- "epoch": 0.7111111111111111,
237
- "grad_norm": 1.1426794972054166,
238
- "learning_rate": 4.6890886774272485e-06,
239
- "loss": 1.4794,
240
  "step": 160
241
  },
242
  {
243
- "epoch": 0.7333333333333333,
244
- "grad_norm": 1.2053169655060443,
245
- "learning_rate": 4.046911357233343e-06,
246
- "loss": 1.4616,
247
  "step": 165
248
  },
249
  {
250
- "epoch": 0.7555555555555555,
251
- "grad_norm": 1.1647726703293662,
252
- "learning_rate": 3.440713983000601e-06,
253
- "loss": 1.4921,
254
  "step": 170
255
  },
256
  {
257
- "epoch": 0.7777777777777778,
258
- "grad_norm": 1.1515379297439883,
259
- "learning_rate": 2.8741603585249312e-06,
260
- "loss": 1.4614,
261
  "step": 175
262
  },
263
  {
264
- "epoch": 0.8,
265
- "grad_norm": 1.1677038359307508,
266
- "learning_rate": 2.3506746842535244e-06,
267
- "loss": 1.4821,
268
  "step": 180
269
  },
270
  {
271
- "epoch": 0.8222222222222222,
272
- "grad_norm": 1.157505348471252,
273
- "learning_rate": 1.8734208617174986e-06,
274
- "loss": 1.4643,
275
  "step": 185
276
  },
277
  {
278
- "epoch": 0.8444444444444444,
279
- "grad_norm": 1.1694689724300111,
280
- "learning_rate": 1.4452833711883629e-06,
281
- "loss": 1.4734,
282
  "step": 190
283
  },
284
  {
285
- "epoch": 0.8666666666666667,
286
- "grad_norm": 1.1512148511863012,
287
- "learning_rate": 1.0688498381320855e-06,
288
- "loss": 1.4435,
289
  "step": 195
290
  },
291
  {
292
- "epoch": 0.8888888888888888,
293
- "grad_norm": 1.1323651049667787,
294
- "learning_rate": 7.463953938275859e-07,
295
- "loss": 1.447,
296
  "step": 200
297
  },
298
  {
299
- "epoch": 0.9111111111111111,
300
- "grad_norm": 1.1423892630102332,
301
- "learning_rate": 4.798689246727006e-07,
302
- "loss": 1.4368,
303
  "step": 205
304
  },
305
  {
306
- "epoch": 0.9333333333333333,
307
- "grad_norm": 1.1409480033032104,
308
- "learning_rate": 2.708812932856253e-07,
309
- "loss": 1.4754,
310
  "step": 210
311
  },
312
  {
313
- "epoch": 0.9555555555555556,
314
- "grad_norm": 1.1449815403515953,
315
- "learning_rate": 1.206956025924333e-07,
316
- "loss": 1.473,
317
  "step": 215
318
  },
319
  {
320
- "epoch": 0.9777777777777777,
321
- "grad_norm": 1.1871235983216775,
322
- "learning_rate": 3.0219561743707326e-08,
323
- "loss": 1.4529,
324
  "step": 220
325
  },
326
  {
327
- "epoch": 1.0,
328
- "grad_norm": 1.1249933194182675,
329
- "learning_rate": 0.0,
330
- "loss": 1.4638,
331
  "step": 225
332
  },
333
  {
334
- "epoch": 1.0,
335
- "eval_loss": 1.4236433506011963,
336
- "eval_runtime": 54.2532,
337
- "eval_samples_per_second": 22.063,
338
- "eval_steps_per_second": 0.7,
339
- "step": 225
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
340
  },
341
  {
342
  "epoch": 1.0,
343
- "step": 225,
344
- "total_flos": 11777605632000.0,
345
- "train_loss": 1.5383918571472168,
346
- "train_runtime": 1636.4794,
347
- "train_samples_per_second": 4.388,
348
- "train_steps_per_second": 0.137
349
  }
350
  ],
351
  "logging_steps": 5,
352
- "max_steps": 225,
353
  "num_input_tokens_seen": 0,
354
  "num_train_epochs": 1,
355
  "save_steps": 500,
@@ -365,7 +2234,7 @@
365
  "attributes": {}
366
  }
367
  },
368
- "total_flos": 11777605632000.0,
369
  "train_batch_size": 8,
370
  "trial_name": null,
371
  "trial_params": null
 
3
  "best_model_checkpoint": null,
4
  "epoch": 1.0,
5
  "eval_steps": 500,
6
+ "global_step": 1563,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.0006397952655150352,
13
+ "grad_norm": 7.394080615918296,
14
+ "learning_rate": 1.2738853503184715e-07,
15
+ "loss": 2.0305,
16
  "step": 1
17
  },
18
  {
19
+ "epoch": 0.003198976327575176,
20
+ "grad_norm": 6.988123754534515,
21
+ "learning_rate": 6.369426751592357e-07,
22
+ "loss": 1.9432,
23
  "step": 5
24
  },
25
  {
26
+ "epoch": 0.006397952655150352,
27
+ "grad_norm": 6.389634280271642,
28
+ "learning_rate": 1.2738853503184715e-06,
29
+ "loss": 2.003,
30
  "step": 10
31
  },
32
  {
33
+ "epoch": 0.009596928982725527,
34
+ "grad_norm": 4.815514441114148,
35
+ "learning_rate": 1.9108280254777074e-06,
36
+ "loss": 1.8623,
37
  "step": 15
38
  },
39
  {
40
+ "epoch": 0.012795905310300703,
41
+ "grad_norm": 4.254380514471883,
42
+ "learning_rate": 2.547770700636943e-06,
43
+ "loss": 1.8562,
44
  "step": 20
45
  },
46
  {
47
+ "epoch": 0.01599488163787588,
48
+ "grad_norm": 3.992810395688516,
49
+ "learning_rate": 3.1847133757961785e-06,
50
+ "loss": 1.7801,
51
  "step": 25
52
  },
53
  {
54
+ "epoch": 0.019193857965451054,
55
+ "grad_norm": 3.7657804821863046,
56
+ "learning_rate": 3.821656050955415e-06,
57
+ "loss": 1.7563,
58
  "step": 30
59
  },
60
  {
61
+ "epoch": 0.022392834293026232,
62
+ "grad_norm": 3.5537232539203414,
63
+ "learning_rate": 4.45859872611465e-06,
64
+ "loss": 1.6801,
65
  "step": 35
66
  },
67
  {
68
+ "epoch": 0.025591810620601407,
69
+ "grad_norm": 3.22896206640905,
70
+ "learning_rate": 5.095541401273886e-06,
71
+ "loss": 1.6648,
72
  "step": 40
73
  },
74
  {
75
+ "epoch": 0.028790786948176585,
76
+ "grad_norm": 3.403433611826566,
77
+ "learning_rate": 5.732484076433121e-06,
78
+ "loss": 1.6292,
79
  "step": 45
80
  },
81
  {
82
+ "epoch": 0.03198976327575176,
83
+ "grad_norm": 3.4679951074737265,
84
+ "learning_rate": 6.369426751592357e-06,
85
+ "loss": 1.6593,
86
  "step": 50
87
  },
88
  {
89
+ "epoch": 0.035188739603326934,
90
+ "grad_norm": 3.156456048051111,
91
+ "learning_rate": 7.006369426751593e-06,
92
+ "loss": 1.6613,
93
  "step": 55
94
  },
95
  {
96
+ "epoch": 0.03838771593090211,
97
+ "grad_norm": 3.086307127274183,
98
+ "learning_rate": 7.64331210191083e-06,
99
+ "loss": 1.6561,
100
  "step": 60
101
  },
102
  {
103
+ "epoch": 0.04158669225847729,
104
+ "grad_norm": 3.172716776400222,
105
+ "learning_rate": 8.280254777070064e-06,
106
+ "loss": 1.6567,
107
  "step": 65
108
  },
109
  {
110
+ "epoch": 0.044785668586052464,
111
+ "grad_norm": 3.302196355125012,
112
+ "learning_rate": 8.9171974522293e-06,
113
+ "loss": 1.636,
114
  "step": 70
115
  },
116
  {
117
+ "epoch": 0.04798464491362764,
118
+ "grad_norm": 3.4368418751057446,
119
+ "learning_rate": 9.554140127388536e-06,
120
+ "loss": 1.6074,
121
  "step": 75
122
  },
123
  {
124
+ "epoch": 0.05118362124120281,
125
+ "grad_norm": 3.1917269735549625,
126
+ "learning_rate": 1.0191082802547772e-05,
127
+ "loss": 1.6616,
128
  "step": 80
129
  },
130
  {
131
+ "epoch": 0.05438259756877799,
132
+ "grad_norm": 3.3917094379269206,
133
+ "learning_rate": 1.0828025477707008e-05,
134
+ "loss": 1.6223,
135
  "step": 85
136
  },
137
  {
138
+ "epoch": 0.05758157389635317,
139
+ "grad_norm": 3.2284167705131375,
140
+ "learning_rate": 1.1464968152866242e-05,
141
+ "loss": 1.6181,
142
  "step": 90
143
  },
144
  {
145
+ "epoch": 0.060780550223928344,
146
+ "grad_norm": 3.1149786469782645,
147
+ "learning_rate": 1.2101910828025478e-05,
148
+ "loss": 1.6075,
149
  "step": 95
150
  },
151
  {
152
+ "epoch": 0.06397952655150352,
153
+ "grad_norm": 3.2532995287482813,
154
+ "learning_rate": 1.2738853503184714e-05,
155
+ "loss": 1.6283,
156
  "step": 100
157
  },
158
  {
159
+ "epoch": 0.0671785028790787,
160
+ "grad_norm": 3.4021186832363957,
161
+ "learning_rate": 1.337579617834395e-05,
162
+ "loss": 1.6266,
163
  "step": 105
164
  },
165
  {
166
+ "epoch": 0.07037747920665387,
167
+ "grad_norm": 3.49083558012156,
168
+ "learning_rate": 1.4012738853503186e-05,
169
+ "loss": 1.613,
170
  "step": 110
171
  },
172
  {
173
+ "epoch": 0.07357645553422905,
174
+ "grad_norm": 3.197274845693601,
175
+ "learning_rate": 1.464968152866242e-05,
176
+ "loss": 1.6213,
177
  "step": 115
178
  },
179
  {
180
+ "epoch": 0.07677543186180422,
181
+ "grad_norm": 3.15979564252741,
182
+ "learning_rate": 1.528662420382166e-05,
183
+ "loss": 1.6228,
184
  "step": 120
185
  },
186
  {
187
+ "epoch": 0.0799744081893794,
188
+ "grad_norm": 3.308420733595098,
189
+ "learning_rate": 1.5923566878980894e-05,
190
+ "loss": 1.6463,
191
  "step": 125
192
  },
193
  {
194
+ "epoch": 0.08317338451695458,
195
+ "grad_norm": 3.1632407335742525,
196
+ "learning_rate": 1.6560509554140128e-05,
197
+ "loss": 1.6282,
198
  "step": 130
199
  },
200
  {
201
+ "epoch": 0.08637236084452975,
202
+ "grad_norm": 3.1631210507580163,
203
+ "learning_rate": 1.7197452229299365e-05,
204
+ "loss": 1.6365,
205
  "step": 135
206
  },
207
  {
208
+ "epoch": 0.08957133717210493,
209
+ "grad_norm": 3.189101122277436,
210
+ "learning_rate": 1.78343949044586e-05,
211
+ "loss": 1.6921,
212
  "step": 140
213
  },
214
  {
215
+ "epoch": 0.0927703134996801,
216
+ "grad_norm": 3.3936802906197086,
217
+ "learning_rate": 1.8471337579617837e-05,
218
+ "loss": 1.6784,
219
  "step": 145
220
  },
221
  {
222
+ "epoch": 0.09596928982725528,
223
+ "grad_norm": 3.1547164505418053,
224
+ "learning_rate": 1.910828025477707e-05,
225
+ "loss": 1.6326,
226
  "step": 150
227
  },
228
  {
229
+ "epoch": 0.09916826615483046,
230
+ "grad_norm": 3.1142443602043923,
231
+ "learning_rate": 1.9745222929936306e-05,
232
+ "loss": 1.6999,
233
  "step": 155
234
  },
235
  {
236
+ "epoch": 0.10236724248240563,
237
+ "grad_norm": 3.0457646937300837,
238
+ "learning_rate": 1.9999775332635076e-05,
239
+ "loss": 1.6366,
240
  "step": 160
241
  },
242
  {
243
+ "epoch": 0.10556621880998081,
244
+ "grad_norm": 3.0372482724825525,
245
+ "learning_rate": 1.999840240196313e-05,
246
+ "loss": 1.6012,
247
  "step": 165
248
  },
249
  {
250
+ "epoch": 0.10876519513755598,
251
+ "grad_norm": 3.211113164573299,
252
+ "learning_rate": 1.9995781526975738e-05,
253
+ "loss": 1.6572,
254
  "step": 170
255
  },
256
  {
257
+ "epoch": 0.11196417146513116,
258
+ "grad_norm": 2.8705010535094875,
259
+ "learning_rate": 1.9991913034795768e-05,
260
+ "loss": 1.6988,
261
  "step": 175
262
  },
263
  {
264
+ "epoch": 0.11516314779270634,
265
+ "grad_norm": 3.075350854034086,
266
+ "learning_rate": 1.9986797408266636e-05,
267
+ "loss": 1.6673,
268
  "step": 180
269
  },
270
  {
271
+ "epoch": 0.1183621241202815,
272
+ "grad_norm": 2.8930449752507803,
273
+ "learning_rate": 1.9980435285892056e-05,
274
+ "loss": 1.7404,
275
  "step": 185
276
  },
277
  {
278
+ "epoch": 0.12156110044785669,
279
+ "grad_norm": 2.997023488149924,
280
+ "learning_rate": 1.9972827461756335e-05,
281
+ "loss": 1.6516,
282
  "step": 190
283
  },
284
  {
285
+ "epoch": 0.12476007677543186,
286
+ "grad_norm": 3.0525943500136594,
287
+ "learning_rate": 1.9963974885425267e-05,
288
+ "loss": 1.6142,
289
  "step": 195
290
  },
291
  {
292
+ "epoch": 0.12795905310300704,
293
+ "grad_norm": 3.032903483565325,
294
+ "learning_rate": 1.9953878661827603e-05,
295
+ "loss": 1.6857,
296
  "step": 200
297
  },
298
  {
299
+ "epoch": 0.13115802943058222,
300
+ "grad_norm": 2.8448154468271416,
301
+ "learning_rate": 1.994254005111715e-05,
302
+ "loss": 1.6578,
303
  "step": 205
304
  },
305
  {
306
+ "epoch": 0.1343570057581574,
307
+ "grad_norm": 2.9094110750911395,
308
+ "learning_rate": 1.992996046851548e-05,
309
+ "loss": 1.6407,
310
  "step": 210
311
  },
312
  {
313
+ "epoch": 0.13755598208573255,
314
+ "grad_norm": 2.9037930260697182,
315
+ "learning_rate": 1.9916141484135297e-05,
316
+ "loss": 1.6858,
317
  "step": 215
318
  },
319
  {
320
+ "epoch": 0.14075495841330773,
321
+ "grad_norm": 2.8984434910658834,
322
+ "learning_rate": 1.990108482278446e-05,
323
+ "loss": 1.6633,
324
  "step": 220
325
  },
326
  {
327
+ "epoch": 0.14395393474088292,
328
+ "grad_norm": 2.7339743533257255,
329
+ "learning_rate": 1.9884792363750684e-05,
330
+ "loss": 1.7033,
331
  "step": 225
332
  },
333
  {
334
+ "epoch": 0.1471529110684581,
335
+ "grad_norm": 2.945202398619138,
336
+ "learning_rate": 1.9867266140567024e-05,
337
+ "loss": 1.6713,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.15035188739603328,
342
+ "grad_norm": 2.7793460261472984,
343
+ "learning_rate": 1.9848508340758014e-05,
344
+ "loss": 1.694,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.15355086372360843,
349
+ "grad_norm": 2.803292273662775,
350
+ "learning_rate": 1.9828521305566647e-05,
351
+ "loss": 1.6802,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.15674984005118361,
356
+ "grad_norm": 2.7907576962985816,
357
+ "learning_rate": 1.9807307529662175e-05,
358
+ "loss": 1.7578,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.1599488163787588,
363
+ "grad_norm": 2.905959935226371,
364
+ "learning_rate": 1.9784869660828708e-05,
365
+ "loss": 1.6559,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.16314779270633398,
370
+ "grad_norm": 3.000333928564516,
371
+ "learning_rate": 1.9761210499634754e-05,
372
+ "loss": 1.6492,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.16634676903390916,
377
+ "grad_norm": 2.8638985431140584,
378
+ "learning_rate": 1.973633299908365e-05,
379
+ "loss": 1.6195,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.1695457453614843,
384
+ "grad_norm": 3.1338815620020557,
385
+ "learning_rate": 1.9710240264245005e-05,
386
+ "loss": 1.7182,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.1727447216890595,
391
+ "grad_norm": 2.735922550084266,
392
+ "learning_rate": 1.9682935551867132e-05,
393
+ "loss": 1.6404,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.17594369801663468,
398
+ "grad_norm": 2.7772426797312852,
399
+ "learning_rate": 1.9654422269970545e-05,
400
+ "loss": 1.6768,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.17914267434420986,
405
+ "grad_norm": 2.9636810758877568,
406
+ "learning_rate": 1.9624703977422624e-05,
407
+ "loss": 1.6454,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.18234165067178504,
412
+ "grad_norm": 2.7840158936469974,
413
+ "learning_rate": 1.959378438349338e-05,
414
+ "loss": 1.6454,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.1855406269993602,
419
+ "grad_norm": 2.8310598910760163,
420
+ "learning_rate": 1.956166734739251e-05,
421
+ "loss": 1.6648,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.18873960332693537,
426
+ "grad_norm": 2.714786142604982,
427
+ "learning_rate": 1.95283568777877e-05,
428
+ "loss": 1.6666,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.19193857965451055,
433
+ "grad_norm": 2.9756653362793504,
434
+ "learning_rate": 1.9493857132304295e-05,
435
+ "loss": 1.6332,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.19513755598208574,
440
+ "grad_norm": 2.663479791243424,
441
+ "learning_rate": 1.9458172417006347e-05,
442
+ "loss": 1.7517,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.19833653230966092,
447
+ "grad_norm": 2.787541324182297,
448
+ "learning_rate": 1.942130718585919e-05,
449
+ "loss": 1.6247,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.20153550863723607,
454
+ "grad_norm": 2.9978313664286005,
455
+ "learning_rate": 1.938326604017349e-05,
456
+ "loss": 1.6562,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.20473448496481125,
461
+ "grad_norm": 2.8618671523467274,
462
+ "learning_rate": 1.9344053728030952e-05,
463
+ "loss": 1.6709,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.20793346129238643,
468
+ "grad_norm": 2.691578696625765,
469
+ "learning_rate": 1.9303675143691683e-05,
470
+ "loss": 1.6802,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.21113243761996162,
475
+ "grad_norm": 2.8907063332178002,
476
+ "learning_rate": 1.9262135326983326e-05,
477
+ "loss": 1.7082,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.2143314139475368,
482
+ "grad_norm": 2.9725776193939706,
483
+ "learning_rate": 1.921943946267201e-05,
484
+ "loss": 1.626,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.21753039027511195,
489
+ "grad_norm": 2.8615891525639974,
490
+ "learning_rate": 1.9175592879815217e-05,
491
+ "loss": 1.6959,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.22072936660268713,
496
+ "grad_norm": 2.8919731781020857,
497
+ "learning_rate": 1.9130601051096655e-05,
498
+ "loss": 1.6268,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.22392834293026231,
503
+ "grad_norm": 2.9924454366979343,
504
+ "learning_rate": 1.9084469592143154e-05,
505
+ "loss": 1.6537,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.2271273192578375,
510
+ "grad_norm": 2.781125301226174,
511
+ "learning_rate": 1.9037204260823788e-05,
512
+ "loss": 1.6043,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.23032629558541268,
517
+ "grad_norm": 2.8421749381590007,
518
+ "learning_rate": 1.89888109565312e-05,
519
+ "loss": 1.7348,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.23352527191298783,
524
+ "grad_norm": 2.7140292893955418,
525
+ "learning_rate": 1.893929571944527e-05,
526
+ "loss": 1.6701,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.236724248240563,
531
+ "grad_norm": 2.946356544423079,
532
+ "learning_rate": 1.8888664729779205e-05,
533
+ "loss": 1.6862,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.2399232245681382,
538
+ "grad_norm": 2.839893452790028,
539
+ "learning_rate": 1.883692430700818e-05,
540
+ "loss": 1.6464,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.24312220089571338,
545
+ "grad_norm": 3.0052515914390736,
546
+ "learning_rate": 1.8784080909080568e-05,
547
+ "loss": 1.6302,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.24632117722328856,
552
+ "grad_norm": 2.6820394128865805,
553
+ "learning_rate": 1.8730141131611882e-05,
554
+ "loss": 1.6555,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.2495201535508637,
559
+ "grad_norm": 2.634143252481978,
560
+ "learning_rate": 1.867511170706157e-05,
561
+ "loss": 1.6004,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.2527191298784389,
566
+ "grad_norm": 2.7745186332846634,
567
+ "learning_rate": 1.861899950389269e-05,
568
+ "loss": 1.6785,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.2559181062060141,
573
+ "grad_norm": 2.7324330094342284,
574
+ "learning_rate": 1.856181152571463e-05,
575
+ "loss": 1.6163,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.2591170825335892,
580
+ "grad_norm": 2.9535285722755775,
581
+ "learning_rate": 1.850355491040897e-05,
582
+ "loss": 1.6173,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.26231605886116444,
587
+ "grad_norm": 2.9149621130030536,
588
+ "learning_rate": 1.8444236929238556e-05,
589
+ "loss": 1.6581,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.2655150351887396,
594
+ "grad_norm": 2.6067627751049094,
595
+ "learning_rate": 1.8383864985939944e-05,
596
+ "loss": 1.6164,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.2687140115163148,
601
+ "grad_norm": 2.7496620680313786,
602
+ "learning_rate": 1.8322446615799317e-05,
603
+ "loss": 1.617,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.27191298784388995,
608
+ "grad_norm": 2.7116588879744805,
609
+ "learning_rate": 1.825998948471197e-05,
610
+ "loss": 1.5945,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.2751119641714651,
615
+ "grad_norm": 2.6386390309428003,
616
+ "learning_rate": 1.819650138822548e-05,
617
+ "loss": 1.6485,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.2783109404990403,
622
+ "grad_norm": 2.4403141850907986,
623
+ "learning_rate": 1.8131990250566733e-05,
624
+ "loss": 1.5296,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.28150991682661547,
629
+ "grad_norm": 2.690663842410636,
630
+ "learning_rate": 1.8066464123652857e-05,
631
+ "loss": 1.6769,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.2847088931541907,
636
+ "grad_norm": 2.4053093033366375,
637
+ "learning_rate": 1.7999931186086225e-05,
638
+ "loss": 1.616,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.28790786948176583,
643
+ "grad_norm": 2.655658834658945,
644
+ "learning_rate": 1.793239974213364e-05,
645
+ "loss": 1.585,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.291106845809341,
650
+ "grad_norm": 2.7334995955366566,
651
+ "learning_rate": 1.786387822068987e-05,
652
+ "loss": 1.6489,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.2943058221369162,
657
+ "grad_norm": 2.7528589911283365,
658
+ "learning_rate": 1.7794375174225565e-05,
659
+ "loss": 1.6601,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.29750479846449135,
664
+ "grad_norm": 2.5929884221027937,
665
+ "learning_rate": 1.7723899277719815e-05,
666
+ "loss": 1.6194,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.30070377479206656,
671
+ "grad_norm": 2.67165006812173,
672
+ "learning_rate": 1.7652459327577377e-05,
673
+ "loss": 1.6281,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.3039027511196417,
678
+ "grad_norm": 2.5803192411036164,
679
+ "learning_rate": 1.7580064240530746e-05,
680
+ "loss": 1.6054,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.30710172744721687,
685
+ "grad_norm": 2.7629487887046844,
686
+ "learning_rate": 1.7506723052527243e-05,
687
+ "loss": 1.6157,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.3103007037747921,
692
+ "grad_norm": 2.818119974179455,
693
+ "learning_rate": 1.7432444917601183e-05,
694
+ "loss": 1.629,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.31349968010236723,
699
+ "grad_norm": 2.6002526488275213,
700
+ "learning_rate": 1.735723910673132e-05,
701
+ "loss": 1.6047,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.31669865642994244,
706
+ "grad_norm": 2.637737666270034,
707
+ "learning_rate": 1.7281115006683687e-05,
708
+ "loss": 1.594,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.3198976327575176,
713
+ "grad_norm": 2.450430698280842,
714
+ "learning_rate": 1.7204082118840035e-05,
715
+ "loss": 1.6339,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.32309660908509275,
720
+ "grad_norm": 2.6454010985724237,
721
+ "learning_rate": 1.712615005801185e-05,
722
+ "loss": 1.6465,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.32629558541266795,
727
+ "grad_norm": 2.632364572436156,
728
+ "learning_rate": 1.704732855124037e-05,
729
+ "loss": 1.668,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.3294945617402431,
734
+ "grad_norm": 2.6939062066847734,
735
+ "learning_rate": 1.6967627436582445e-05,
736
+ "loss": 1.6473,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.3326935380678183,
741
+ "grad_norm": 2.704537381781226,
742
+ "learning_rate": 1.6887056661882644e-05,
743
+ "loss": 1.6555,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.33589251439539347,
748
+ "grad_norm": 2.673030043305989,
749
+ "learning_rate": 1.6805626283531592e-05,
750
+ "loss": 1.5817,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.3390914907229686,
755
+ "grad_norm": 2.5627610542356263,
756
+ "learning_rate": 1.6723346465210815e-05,
757
+ "loss": 1.6425,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.34229046705054383,
762
+ "grad_norm": 2.490955616710756,
763
+ "learning_rate": 1.6640227476624163e-05,
764
+ "loss": 1.652,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.345489443378119,
769
+ "grad_norm": 2.7836678293691914,
770
+ "learning_rate": 1.655627969221598e-05,
771
+ "loss": 1.5775,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.3486884197056942,
776
+ "grad_norm": 2.879150296148446,
777
+ "learning_rate": 1.6471513589876247e-05,
778
+ "loss": 1.6193,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.35188739603326935,
783
+ "grad_norm": 2.544183815219073,
784
+ "learning_rate": 1.638593974963278e-05,
785
+ "loss": 1.6253,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.3550863723608445,
790
+ "grad_norm": 2.5247797493256354,
791
+ "learning_rate": 1.6299568852330703e-05,
792
+ "loss": 1.6498,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.3582853486884197,
797
+ "grad_norm": 2.641960224176829,
798
+ "learning_rate": 1.6212411678299306e-05,
799
+ "loss": 1.5938,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.36148432501599487,
804
+ "grad_norm": 2.449768437546663,
805
+ "learning_rate": 1.612447910600652e-05,
806
+ "loss": 1.5764,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.3646833013435701,
811
+ "grad_norm": 2.578583632586866,
812
+ "learning_rate": 1.6035782110701125e-05,
813
+ "loss": 1.6131,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.36788227767114523,
818
+ "grad_norm": 2.480736343141984,
819
+ "learning_rate": 1.594633176304287e-05,
820
+ "loss": 1.6181,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.3710812539987204,
825
+ "grad_norm": 2.652942682958262,
826
+ "learning_rate": 1.5856139227720714e-05,
827
+ "loss": 1.6279,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.3742802303262956,
832
+ "grad_norm": 2.5484066228370748,
833
+ "learning_rate": 1.5765215762059304e-05,
834
+ "loss": 1.6044,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.37747920665387075,
839
+ "grad_norm": 2.6484189766310617,
840
+ "learning_rate": 1.5673572714613886e-05,
841
+ "loss": 1.6565,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.38067818298144596,
846
+ "grad_norm": 2.707940008356439,
847
+ "learning_rate": 1.558122152375387e-05,
848
+ "loss": 1.6113,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.3838771593090211,
853
+ "grad_norm": 2.5070863505818606,
854
+ "learning_rate": 1.548817371623513e-05,
855
+ "loss": 1.5619,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.38707613563659626,
860
+ "grad_norm": 2.3650716848486333,
861
+ "learning_rate": 1.539444090576132e-05,
862
+ "loss": 1.6134,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.3902751119641715,
867
+ "grad_norm": 2.6861687501614466,
868
+ "learning_rate": 1.5300034791534297e-05,
869
+ "loss": 1.5806,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.3934740882917466,
874
+ "grad_norm": 2.4191496743332093,
875
+ "learning_rate": 1.520496715679391e-05,
876
+ "loss": 1.5797,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.39667306461932184,
881
+ "grad_norm": 2.550326271295577,
882
+ "learning_rate": 1.5109249867347276e-05,
883
+ "loss": 1.5974,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.399872040946897,
888
+ "grad_norm": 2.3102647791766864,
889
+ "learning_rate": 1.5012894870087751e-05,
890
+ "loss": 1.6202,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.40307101727447214,
895
+ "grad_norm": 2.59762028303461,
896
+ "learning_rate": 1.4915914191503792e-05,
897
+ "loss": 1.6274,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.40626999360204735,
902
+ "grad_norm": 2.881971956760912,
903
+ "learning_rate": 1.4818319936177885e-05,
904
+ "loss": 1.5946,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.4094689699296225,
909
+ "grad_norm": 2.569538647562056,
910
+ "learning_rate": 1.4720124285275703e-05,
911
+ "loss": 1.5929,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.4126679462571977,
916
+ "grad_norm": 2.5291866469053033,
917
+ "learning_rate": 1.4621339495025731e-05,
918
+ "loss": 1.5741,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.41586692258477287,
923
+ "grad_norm": 2.688772146899729,
924
+ "learning_rate": 1.4521977895189518e-05,
925
+ "loss": 1.5687,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.419065898912348,
930
+ "grad_norm": 2.8684978363355933,
931
+ "learning_rate": 1.4422051887522735e-05,
932
+ "loss": 1.6226,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.42226487523992323,
937
+ "grad_norm": 2.3545531570138434,
938
+ "learning_rate": 1.4321573944227254e-05,
939
+ "loss": 1.5946,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.4254638515674984,
944
+ "grad_norm": 2.509229712523995,
945
+ "learning_rate": 1.4220556606394465e-05,
946
+ "loss": 1.6031,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.4286628278950736,
951
+ "grad_norm": 2.6522491425171713,
952
+ "learning_rate": 1.4119012482439929e-05,
953
+ "loss": 1.5893,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.43186180422264875,
958
+ "grad_norm": 2.6103836152679714,
959
+ "learning_rate": 1.4016954246529697e-05,
960
+ "loss": 1.5309,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.4350607805502239,
965
+ "grad_norm": 2.4597418020462323,
966
+ "learning_rate": 1.3914394636998374e-05,
967
+ "loss": 1.5641,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.4382597568777991,
972
+ "grad_norm": 2.593897343213478,
973
+ "learning_rate": 1.3811346454759211e-05,
974
+ "loss": 1.6196,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.44145873320537427,
979
+ "grad_norm": 2.6002108820265457,
980
+ "learning_rate": 1.3707822561706336e-05,
981
+ "loss": 1.6235,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.4446577095329495,
986
+ "grad_norm": 3.0420801400215853,
987
+ "learning_rate": 1.3603835879109442e-05,
988
+ "loss": 1.5103,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.44785668586052463,
993
+ "grad_norm": 2.466641868555013,
994
+ "learning_rate": 1.349939938600099e-05,
995
+ "loss": 1.5902,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.4510556621880998,
1000
+ "grad_norm": 2.571792638474329,
1001
+ "learning_rate": 1.3394526117556277e-05,
1002
+ "loss": 1.5681,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.454254638515675,
1007
+ "grad_norm": 2.550162054129212,
1008
+ "learning_rate": 1.3289229163466421e-05,
1009
+ "loss": 1.5775,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.45745361484325014,
1014
+ "grad_norm": 2.618009664290396,
1015
+ "learning_rate": 1.3183521666304611e-05,
1016
+ "loss": 1.5413,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.46065259117082535,
1021
+ "grad_norm": 2.733491223792463,
1022
+ "learning_rate": 1.3077416819885707e-05,
1023
+ "loss": 1.5837,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.4638515674984005,
1028
+ "grad_norm": 2.5097687704688925,
1029
+ "learning_rate": 1.297092786761946e-05,
1030
+ "loss": 1.611,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.46705054382597566,
1035
+ "grad_norm": 2.5184864174917982,
1036
+ "learning_rate": 1.2864068100857565e-05,
1037
+ "loss": 1.5697,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.47024952015355087,
1042
+ "grad_norm": 2.3816287608148494,
1043
+ "learning_rate": 1.2756850857234686e-05,
1044
+ "loss": 1.5068,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.473448496481126,
1049
+ "grad_norm": 2.5411269367566853,
1050
+ "learning_rate": 1.2649289519003739e-05,
1051
+ "loss": 1.5925,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.47664747280870123,
1056
+ "grad_norm": 2.6112309877103104,
1057
+ "learning_rate": 1.2541397511365584e-05,
1058
+ "loss": 1.5981,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.4798464491362764,
1063
+ "grad_norm": 2.5171345270617427,
1064
+ "learning_rate": 1.2433188300793399e-05,
1065
+ "loss": 1.5989,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.48304542546385154,
1070
+ "grad_norm": 2.5466621441825215,
1071
+ "learning_rate": 1.2324675393351818e-05,
1072
+ "loss": 1.6118,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.48624440179142675,
1077
+ "grad_norm": 2.4943933560857503,
1078
+ "learning_rate": 1.221587233301123e-05,
1079
+ "loss": 1.6128,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.4894433781190019,
1084
+ "grad_norm": 2.672340704509595,
1085
+ "learning_rate": 1.2106792699957264e-05,
1086
+ "loss": 1.5632,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.4926423544465771,
1091
+ "grad_norm": 2.4667369084948354,
1092
+ "learning_rate": 1.1997450108895807e-05,
1093
+ "loss": 1.5842,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.49584133077415227,
1098
+ "grad_norm": 2.511794674207891,
1099
+ "learning_rate": 1.1887858207353678e-05,
1100
+ "loss": 1.5659,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.4990403071017274,
1105
+ "grad_norm": 2.6412164194277743,
1106
+ "learning_rate": 1.1778030673975227e-05,
1107
+ "loss": 1.61,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.5022392834293026,
1112
+ "grad_norm": 2.478596228285701,
1113
+ "learning_rate": 1.166798121681505e-05,
1114
+ "loss": 1.522,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.5054382597568778,
1119
+ "grad_norm": 2.595939842592459,
1120
+ "learning_rate": 1.1557723571627016e-05,
1121
+ "loss": 1.5636,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.508637236084453,
1126
+ "grad_norm": 2.432326751699925,
1127
+ "learning_rate": 1.1447271500149849e-05,
1128
+ "loss": 1.5878,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.5118362124120281,
1133
+ "grad_norm": 2.6385262661777453,
1134
+ "learning_rate": 1.1336638788389473e-05,
1135
+ "loss": 1.5783,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.5150351887396033,
1140
+ "grad_norm": 2.555868661788137,
1141
+ "learning_rate": 1.122583924489832e-05,
1142
+ "loss": 1.5321,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.5182341650671785,
1147
+ "grad_norm": 2.4875755865322295,
1148
+ "learning_rate": 1.1114886699051803e-05,
1149
+ "loss": 1.5803,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.5214331413947537,
1154
+ "grad_norm": 2.5436639429408694,
1155
+ "learning_rate": 1.1003794999322246e-05,
1156
+ "loss": 1.5801,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.5246321177223289,
1161
+ "grad_norm": 2.5086288677269093,
1162
+ "learning_rate": 1.089257801155037e-05,
1163
+ "loss": 1.5719,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.527831094049904,
1168
+ "grad_norm": 2.53995010922951,
1169
+ "learning_rate": 1.0781249617214642e-05,
1170
+ "loss": 1.5719,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.5310300703774792,
1175
+ "grad_norm": 2.507596140428045,
1176
+ "learning_rate": 1.0669823711698668e-05,
1177
+ "loss": 1.5836,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.5342290467050543,
1182
+ "grad_norm": 2.5252340375115314,
1183
+ "learning_rate": 1.0558314202556866e-05,
1184
+ "loss": 1.5615,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.5374280230326296,
1189
+ "grad_norm": 2.595739313200728,
1190
+ "learning_rate": 1.0446735007778563e-05,
1191
+ "loss": 1.588,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.5406269993602048,
1196
+ "grad_norm": 2.5624942589229898,
1197
+ "learning_rate": 1.0335100054050877e-05,
1198
+ "loss": 1.5346,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.5438259756877799,
1203
+ "grad_norm": 2.46500986708702,
1204
+ "learning_rate": 1.0223423275020431e-05,
1205
+ "loss": 1.5449,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.5470249520153551,
1210
+ "grad_norm": 2.394167818299305,
1211
+ "learning_rate": 1.0111718609554254e-05,
1212
+ "loss": 1.5705,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.5502239283429302,
1217
+ "grad_norm": 2.6197177214921283,
1218
+ "learning_rate": 1e-05,
1219
+ "loss": 1.5355,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.5534229046705055,
1224
+ "grad_norm": 2.509456810430575,
1225
+ "learning_rate": 9.888281390445747e-06,
1226
+ "loss": 1.4882,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.5566218809980806,
1231
+ "grad_norm": 2.3500525614804,
1232
+ "learning_rate": 9.776576724979572e-06,
1233
+ "loss": 1.4693,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.5598208573256558,
1238
+ "grad_norm": 2.554313130115952,
1239
+ "learning_rate": 9.664899945949128e-06,
1240
+ "loss": 1.6321,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.5630198336532309,
1245
+ "grad_norm": 2.4292831573691287,
1246
+ "learning_rate": 9.553264992221442e-06,
1247
+ "loss": 1.5272,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.5662188099808061,
1252
+ "grad_norm": 2.5933356852122,
1253
+ "learning_rate": 9.441685797443138e-06,
1254
+ "loss": 1.5924,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.5694177863083814,
1259
+ "grad_norm": 2.3651540877215904,
1260
+ "learning_rate": 9.330176288301332e-06,
1261
+ "loss": 1.565,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.5726167626359565,
1266
+ "grad_norm": 2.4590451802020734,
1267
+ "learning_rate": 9.21875038278536e-06,
1268
+ "loss": 1.6479,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.5758157389635317,
1273
+ "grad_norm": 2.3702199508365185,
1274
+ "learning_rate": 9.107421988449632e-06,
1275
+ "loss": 1.5073,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.5790147152911068,
1280
+ "grad_norm": 2.5796981737540645,
1281
+ "learning_rate": 8.996205000677758e-06,
1282
+ "loss": 1.5437,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.582213691618682,
1287
+ "grad_norm": 2.6018058977122855,
1288
+ "learning_rate": 8.885113300948199e-06,
1289
+ "loss": 1.5271,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.5854126679462572,
1294
+ "grad_norm": 2.6014600033150956,
1295
+ "learning_rate": 8.774160755101685e-06,
1296
+ "loss": 1.5063,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.5886116442738324,
1301
+ "grad_norm": 2.422587375645625,
1302
+ "learning_rate": 8.663361211610529e-06,
1303
+ "loss": 1.4959,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.5918106206014075,
1308
+ "grad_norm": 2.5294546007457135,
1309
+ "learning_rate": 8.552728499850153e-06,
1310
+ "loss": 1.5216,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.5950095969289827,
1315
+ "grad_norm": 2.3542539093499344,
1316
+ "learning_rate": 8.442276428372986e-06,
1317
+ "loss": 1.5783,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.5982085732565579,
1322
+ "grad_norm": 2.5576779252359296,
1323
+ "learning_rate": 8.332018783184952e-06,
1324
+ "loss": 1.5815,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.6014075495841331,
1329
+ "grad_norm": 2.4091583012332243,
1330
+ "learning_rate": 8.221969326024776e-06,
1331
+ "loss": 1.4926,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.6046065259117083,
1336
+ "grad_norm": 2.4157626052804115,
1337
+ "learning_rate": 8.112141792646326e-06,
1338
+ "loss": 1.5961,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.6078055022392834,
1343
+ "grad_norm": 2.728678425231519,
1344
+ "learning_rate": 8.002549891104196e-06,
1345
+ "loss": 1.5204,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.6110044785668586,
1350
+ "grad_norm": 2.693508248242465,
1351
+ "learning_rate": 7.89320730004274e-06,
1352
+ "loss": 1.5202,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.6142034548944337,
1357
+ "grad_norm": 2.4606255061660742,
1358
+ "learning_rate": 7.784127666988774e-06,
1359
+ "loss": 1.5788,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.617402431222009,
1364
+ "grad_norm": 2.4415648713028584,
1365
+ "learning_rate": 7.675324606648187e-06,
1366
+ "loss": 1.4761,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.6206014075495841,
1371
+ "grad_norm": 2.6515670463268144,
1372
+ "learning_rate": 7.566811699206604e-06,
1373
+ "loss": 1.5426,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.6238003838771593,
1378
+ "grad_norm": 2.464998512720093,
1379
+ "learning_rate": 7.458602488634416e-06,
1380
+ "loss": 1.5232,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.6269993602047345,
1385
+ "grad_norm": 2.576825954460212,
1386
+ "learning_rate": 7.350710480996266e-06,
1387
+ "loss": 1.5492,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.6301983365323096,
1392
+ "grad_norm": 2.6343391183245477,
1393
+ "learning_rate": 7.243149142765317e-06,
1394
+ "loss": 1.5366,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.6333973128598849,
1399
+ "grad_norm": 2.7039136946619378,
1400
+ "learning_rate": 7.135931899142438e-06,
1401
+ "loss": 1.5308,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.63659628918746,
1406
+ "grad_norm": 2.487153313721114,
1407
+ "learning_rate": 7.029072132380543e-06,
1408
+ "loss": 1.5458,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.6397952655150352,
1413
+ "grad_norm": 2.4436815591141055,
1414
+ "learning_rate": 6.922583180114299e-06,
1415
+ "loss": 1.5467,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.6429942418426103,
1420
+ "grad_norm": 2.5798180176201737,
1421
+ "learning_rate": 6.816478333695392e-06,
1422
+ "loss": 1.4839,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.6461932181701855,
1427
+ "grad_norm": 2.4447683187654317,
1428
+ "learning_rate": 6.710770836533584e-06,
1429
+ "loss": 1.555,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.6493921944977608,
1434
+ "grad_norm": 2.466415598823523,
1435
+ "learning_rate": 6.605473882443725e-06,
1436
+ "loss": 1.4658,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.6525911708253359,
1441
+ "grad_norm": 2.447032435340423,
1442
+ "learning_rate": 6.5006006139990115e-06,
1443
+ "loss": 1.56,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.6557901471529111,
1448
+ "grad_norm": 2.487772254910239,
1449
+ "learning_rate": 6.396164120890562e-06,
1450
+ "loss": 1.5423,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.6589891234804862,
1455
+ "grad_norm": 2.375322480797237,
1456
+ "learning_rate": 6.292177438293665e-06,
1457
+ "loss": 1.5784,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.6621880998080614,
1462
+ "grad_norm": 2.63673786424632,
1463
+ "learning_rate": 6.188653545240793e-06,
1464
+ "loss": 1.4851,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.6653870761356366,
1469
+ "grad_norm": 2.372452515646806,
1470
+ "learning_rate": 6.085605363001628e-06,
1471
+ "loss": 1.4868,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.6685860524632118,
1476
+ "grad_norm": 2.5610106308123,
1477
+ "learning_rate": 5.983045753470308e-06,
1478
+ "loss": 1.5517,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.6717850287907869,
1483
+ "grad_norm": 2.4328153274434534,
1484
+ "learning_rate": 5.880987517560075e-06,
1485
+ "loss": 1.4631,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.6749840051183621,
1490
+ "grad_norm": 2.441028073653641,
1491
+ "learning_rate": 5.779443393605536e-06,
1492
+ "loss": 1.4843,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.6781829814459372,
1497
+ "grad_norm": 2.7162623374699346,
1498
+ "learning_rate": 5.678426055772746e-06,
1499
+ "loss": 1.5357,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.6813819577735125,
1504
+ "grad_norm": 2.4530732028130067,
1505
+ "learning_rate": 5.577948112477271e-06,
1506
+ "loss": 1.5454,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.6845809341010877,
1511
+ "grad_norm": 2.4890182788114696,
1512
+ "learning_rate": 5.478022104810483e-06,
1513
+ "loss": 1.5102,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.6877799104286628,
1518
+ "grad_norm": 2.42286314600682,
1519
+ "learning_rate": 5.378660504974271e-06,
1520
+ "loss": 1.4676,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.690978886756238,
1525
+ "grad_norm": 2.4804784717437576,
1526
+ "learning_rate": 5.2798757147242986e-06,
1527
+ "loss": 1.567,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.6941778630838131,
1532
+ "grad_norm": 2.7295949677609577,
1533
+ "learning_rate": 5.1816800638221176e-06,
1534
+ "loss": 1.5184,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.6973768394113884,
1539
+ "grad_norm": 2.537601563528886,
1540
+ "learning_rate": 5.084085808496211e-06,
1541
+ "loss": 1.5231,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.7005758157389635,
1546
+ "grad_norm": 2.4956593302493406,
1547
+ "learning_rate": 4.987105129912252e-06,
1548
+ "loss": 1.486,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.7037747920665387,
1553
+ "grad_norm": 2.798138201731909,
1554
+ "learning_rate": 4.890750132652724e-06,
1555
+ "loss": 1.5195,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.7069737683941139,
1560
+ "grad_norm": 2.571458670426184,
1561
+ "learning_rate": 4.795032843206091e-06,
1562
+ "loss": 1.4892,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.710172744721689,
1567
+ "grad_norm": 2.8172099210546744,
1568
+ "learning_rate": 4.699965208465702e-06,
1569
+ "loss": 1.5646,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.7133717210492643,
1574
+ "grad_norm": 2.5674334312495093,
1575
+ "learning_rate": 4.605559094238681e-06,
1576
+ "loss": 1.5747,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.7165706973768394,
1581
+ "grad_norm": 2.3341361723396075,
1582
+ "learning_rate": 4.511826283764872e-06,
1583
+ "loss": 1.548,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.7197696737044146,
1588
+ "grad_norm": 2.366148041831113,
1589
+ "learning_rate": 4.418778476246132e-06,
1590
+ "loss": 1.4312,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.7229686500319897,
1595
+ "grad_norm": 2.5343317843332955,
1596
+ "learning_rate": 4.326427285386118e-06,
1597
+ "loss": 1.5053,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.7261676263595649,
1602
+ "grad_norm": 2.359774519977056,
1603
+ "learning_rate": 4.234784237940705e-06,
1604
+ "loss": 1.4653,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.7293666026871402,
1609
+ "grad_norm": 2.4400916788306772,
1610
+ "learning_rate": 4.143860772279287e-06,
1611
+ "loss": 1.4899,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.7325655790147153,
1616
+ "grad_norm": 2.623904935527164,
1617
+ "learning_rate": 4.053668236957135e-06,
1618
+ "loss": 1.5307,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.7357645553422905,
1623
+ "grad_norm": 2.4701682729848256,
1624
+ "learning_rate": 3.964217889298882e-06,
1625
+ "loss": 1.4983,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.7389635316698656,
1630
+ "grad_norm": 2.4296405777379104,
1631
+ "learning_rate": 3.875520893993482e-06,
1632
+ "loss": 1.53,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.7421625079974408,
1637
+ "grad_norm": 2.623309835362006,
1638
+ "learning_rate": 3.787588321700697e-06,
1639
+ "loss": 1.5473,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.745361484325016,
1644
+ "grad_norm": 2.3592387568189963,
1645
+ "learning_rate": 3.7004311476692977e-06,
1646
+ "loss": 1.534,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.7485604606525912,
1651
+ "grad_norm": 2.484561103362345,
1652
+ "learning_rate": 3.6140602503672217e-06,
1653
+ "loss": 1.516,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.7517594369801663,
1658
+ "grad_norm": 2.5714704618567272,
1659
+ "learning_rate": 3.528486410123758e-06,
1660
+ "loss": 1.4717,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.7549584133077415,
1665
+ "grad_norm": 2.473733289812066,
1666
+ "learning_rate": 3.443720307784022e-06,
1667
+ "loss": 1.4859,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.7581573896353166,
1672
+ "grad_norm": 2.5807040815191384,
1673
+ "learning_rate": 3.359772523375837e-06,
1674
+ "loss": 1.5437,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.7613563659628919,
1679
+ "grad_norm": 2.6351719725329157,
1680
+ "learning_rate": 3.276653534789185e-06,
1681
+ "loss": 1.5152,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.7645553422904671,
1686
+ "grad_norm": 2.481998923911893,
1687
+ "learning_rate": 3.1943737164684094e-06,
1688
+ "loss": 1.509,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.7677543186180422,
1693
+ "grad_norm": 2.4407227083761223,
1694
+ "learning_rate": 3.11294333811736e-06,
1695
+ "loss": 1.4421,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.7709532949456174,
1700
+ "grad_norm": 2.427463345964753,
1701
+ "learning_rate": 3.032372563417556e-06,
1702
+ "loss": 1.5026,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.7741522712731925,
1707
+ "grad_norm": 2.7179825626721947,
1708
+ "learning_rate": 2.952671448759631e-06,
1709
+ "loss": 1.5082,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.7773512476007678,
1714
+ "grad_norm": 2.49463783683528,
1715
+ "learning_rate": 2.8738499419881517e-06,
1716
+ "loss": 1.5174,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.780550223928343,
1721
+ "grad_norm": 2.7159929171274317,
1722
+ "learning_rate": 2.795917881159973e-06,
1723
+ "loss": 1.4513,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.7837492002559181,
1728
+ "grad_norm": 2.499199393921607,
1729
+ "learning_rate": 2.718884993316311e-06,
1730
+ "loss": 1.5236,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.7869481765834933,
1735
+ "grad_norm": 2.494526532816132,
1736
+ "learning_rate": 2.642760893268684e-06,
1737
+ "loss": 1.492,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.7901471529110684,
1742
+ "grad_norm": 2.4433657766906984,
1743
+ "learning_rate": 2.5675550823988184e-06,
1744
+ "loss": 1.5034,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.7933461292386437,
1749
+ "grad_norm": 2.591611879746854,
1750
+ "learning_rate": 2.493276947472756e-06,
1751
+ "loss": 1.5017,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.7965451055662188,
1756
+ "grad_norm": 2.608689307398732,
1757
+ "learning_rate": 2.4199357594692564e-06,
1758
+ "loss": 1.4498,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.799744081893794,
1763
+ "grad_norm": 2.5807529550129478,
1764
+ "learning_rate": 2.347540672422627e-06,
1765
+ "loss": 1.4488,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.8029430582213691,
1770
+ "grad_norm": 2.444046888012205,
1771
+ "learning_rate": 2.2761007222801866e-06,
1772
+ "loss": 1.4879,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.8061420345489443,
1777
+ "grad_norm": 2.556218040341285,
1778
+ "learning_rate": 2.2056248257744383e-06,
1779
+ "loss": 1.4814,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.8093410108765196,
1784
+ "grad_norm": 2.3761884198072525,
1785
+ "learning_rate": 2.136121779310132e-06,
1786
+ "loss": 1.4938,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.8125399872040947,
1791
+ "grad_norm": 2.555747029316681,
1792
+ "learning_rate": 2.067600257866358e-06,
1793
+ "loss": 1.5016,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.8157389635316699,
1798
+ "grad_norm": 2.607092244917964,
1799
+ "learning_rate": 2.000068813913777e-06,
1800
+ "loss": 1.5008,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.818937939859245,
1805
+ "grad_norm": 2.3856644731191503,
1806
+ "learning_rate": 1.933535876347141e-06,
1807
+ "loss": 1.5232,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.8221369161868202,
1812
+ "grad_norm": 2.557854119192549,
1813
+ "learning_rate": 1.8680097494332682e-06,
1814
+ "loss": 1.492,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.8253358925143954,
1819
+ "grad_norm": 2.3969485171992697,
1820
+ "learning_rate": 1.8034986117745245e-06,
1821
+ "loss": 1.4561,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.8285348688419706,
1826
+ "grad_norm": 2.6466425327738823,
1827
+ "learning_rate": 1.7400105152880331e-06,
1828
+ "loss": 1.4648,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.8317338451695457,
1833
+ "grad_norm": 2.586825079027672,
1834
+ "learning_rate": 1.6775533842006853e-06,
1835
+ "loss": 1.5776,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.8349328214971209,
1840
+ "grad_norm": 2.3870646040382453,
1841
+ "learning_rate": 1.6161350140600606e-06,
1842
+ "loss": 1.4682,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.838131797824696,
1847
+ "grad_norm": 2.5215206212469217,
1848
+ "learning_rate": 1.555763070761448e-06,
1849
+ "loss": 1.5412,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.8413307741522713,
1854
+ "grad_norm": 2.3464462532435917,
1855
+ "learning_rate": 1.496445089591031e-06,
1856
+ "loss": 1.5152,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.8445297504798465,
1861
+ "grad_norm": 2.8068099408312164,
1862
+ "learning_rate": 1.4381884742853723e-06,
1863
+ "loss": 1.5109,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.8477287268074216,
1868
+ "grad_norm": 2.5858712843708047,
1869
+ "learning_rate": 1.381000496107313e-06,
1870
+ "loss": 1.463,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.8509277031349968,
1875
+ "grad_norm": 2.6346898060885446,
1876
+ "learning_rate": 1.3248882929384321e-06,
1877
+ "loss": 1.4372,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.8541266794625719,
1882
+ "grad_norm": 2.4502197712622005,
1883
+ "learning_rate": 1.2698588683881185e-06,
1884
+ "loss": 1.5104,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.8573256557901472,
1889
+ "grad_norm": 2.6070455124090723,
1890
+ "learning_rate": 1.215919090919434e-06,
1891
+ "loss": 1.5453,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.8605246321177223,
1896
+ "grad_norm": 2.613859058553336,
1897
+ "learning_rate": 1.1630756929918218e-06,
1898
+ "loss": 1.3629,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.8637236084452975,
1903
+ "grad_norm": 2.555619592197141,
1904
+ "learning_rate": 1.111335270220798e-06,
1905
+ "loss": 1.4444,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.8669225847728727,
1910
+ "grad_norm": 2.391401860119296,
1911
+ "learning_rate": 1.060704280554733e-06,
1912
+ "loss": 1.4823,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.8701215611004478,
1917
+ "grad_norm": 2.3676422364993845,
1918
+ "learning_rate": 1.0111890434688009e-06,
1919
+ "loss": 1.516,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.8733205374280231,
1924
+ "grad_norm": 2.7016986166296455,
1925
+ "learning_rate": 9.62795739176212e-07,
1926
+ "loss": 1.5778,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.8765195137555982,
1931
+ "grad_norm": 2.552693201900853,
1932
+ "learning_rate": 9.155304078568495e-07,
1933
+ "loss": 1.4319,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.8797184900831734,
1938
+ "grad_norm": 2.584684528802189,
1939
+ "learning_rate": 8.693989489033494e-07,
1940
+ "loss": 1.407,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.8829174664107485,
1945
+ "grad_norm": 2.4070124325794056,
1946
+ "learning_rate": 8.244071201847826e-07,
1947
+ "loss": 1.4465,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.8861164427383237,
1952
+ "grad_norm": 2.40972912643448,
1953
+ "learning_rate": 7.805605373279934e-07,
1954
+ "loss": 1.467,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.889315419065899,
1959
+ "grad_norm": 2.3832038340879427,
1960
+ "learning_rate": 7.378646730166783e-07,
1961
+ "loss": 1.4711,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.8925143953934741,
1966
+ "grad_norm": 2.71612283778794,
1967
+ "learning_rate": 6.963248563083203e-07,
1968
+ "loss": 1.4954,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.8957133717210493,
1973
+ "grad_norm": 2.363104397198656,
1974
+ "learning_rate": 6.559462719690501e-07,
1975
+ "loss": 1.471,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.8989123480486244,
1980
+ "grad_norm": 2.4973910430866404,
1981
+ "learning_rate": 6.167339598265109e-07,
1982
+ "loss": 1.4736,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.9021113243761996,
1987
+ "grad_norm": 2.8272793794206494,
1988
+ "learning_rate": 5.78692814140811e-07,
1989
+ "loss": 1.4466,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.9053103007037748,
1994
+ "grad_norm": 2.378150271799849,
1995
+ "learning_rate": 5.418275829936537e-07,
1996
+ "loss": 1.4711,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.90850927703135,
2001
+ "grad_norm": 2.6449329469693383,
2002
+ "learning_rate": 5.06142867695708e-07,
2003
+ "loss": 1.4544,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.9117082533589251,
2008
+ "grad_norm": 2.4686342917623842,
2009
+ "learning_rate": 4.716431222122997e-07,
2010
+ "loss": 1.4822,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.9149072296865003,
2015
+ "grad_norm": 2.5348886312509595,
2016
+ "learning_rate": 4.3833265260749157e-07,
2017
+ "loss": 1.4774,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.9181062060140754,
2022
+ "grad_norm": 2.573276808796142,
2023
+ "learning_rate": 4.062156165066211e-07,
2024
+ "loss": 1.5098,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.9213051823416507,
2029
+ "grad_norm": 2.4977650539207854,
2030
+ "learning_rate": 3.752960225773772e-07,
2031
+ "loss": 1.4559,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.9245041586692259,
2036
+ "grad_norm": 2.3752215307243594,
2037
+ "learning_rate": 3.4557773002945607e-07,
2038
+ "loss": 1.4437,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.927703134996801,
2043
+ "grad_norm": 2.5462973017160584,
2044
+ "learning_rate": 3.170644481328711e-07,
2045
+ "loss": 1.4723,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.9309021113243762,
2050
+ "grad_norm": 2.595249620944453,
2051
+ "learning_rate": 2.8975973575499526e-07,
2052
+ "loss": 1.4827,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.9341010876519513,
2057
+ "grad_norm": 2.455367708761631,
2058
+ "learning_rate": 2.636670009163522e-07,
2059
+ "loss": 1.4999,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.9373000639795266,
2064
+ "grad_norm": 2.3405669217821887,
2065
+ "learning_rate": 2.3878950036524963e-07,
2066
+ "loss": 1.3879,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.9404990403071017,
2071
+ "grad_norm": 2.6237619212466092,
2072
+ "learning_rate": 2.1513033917129334e-07,
2073
+ "loss": 1.4763,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.9436980166346769,
2078
+ "grad_norm": 2.6691853952475024,
2079
+ "learning_rate": 1.9269247033782744e-07,
2080
+ "loss": 1.4632,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.946896992962252,
2085
+ "grad_norm": 2.5498332777296624,
2086
+ "learning_rate": 1.7147869443335463e-07,
2087
+ "loss": 1.474,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.9500959692898272,
2092
+ "grad_norm": 2.459870224044313,
2093
+ "learning_rate": 1.5149165924199016e-07,
2094
+ "loss": 1.4654,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.9532949456174025,
2099
+ "grad_norm": 2.511293723941215,
2100
+ "learning_rate": 1.3273385943297746e-07,
2101
+ "loss": 1.4418,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.9564939219449776,
2106
+ "grad_norm": 2.56678375061047,
2107
+ "learning_rate": 1.1520763624931597e-07,
2108
+ "loss": 1.6092,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.9596928982725528,
2113
+ "grad_norm": 2.6727043053301394,
2114
+ "learning_rate": 9.891517721554499e-08,
2115
+ "loss": 1.4307,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.9628918746001279,
2120
+ "grad_norm": 2.5296611789075136,
2121
+ "learning_rate": 8.385851586470318e-08,
2122
+ "loss": 1.4335,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.9660908509277031,
2127
+ "grad_norm": 2.583371271354282,
2128
+ "learning_rate": 7.003953148452036e-08,
2129
+ "loss": 1.525,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.9692898272552783,
2134
+ "grad_norm": 2.5459755085081186,
2135
+ "learning_rate": 5.745994888285311e-08,
2136
+ "loss": 1.4828,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.9724888035828535,
2141
+ "grad_norm": 2.4989846165964,
2142
+ "learning_rate": 4.612133817239905e-08,
2143
+ "loss": 1.4797,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.9756877799104287,
2148
+ "grad_norm": 2.5699920030762646,
2149
+ "learning_rate": 3.602511457473479e-08,
2150
+ "loss": 1.4892,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.9788867562380038,
2155
+ "grad_norm": 2.3932347022659544,
2156
+ "learning_rate": 2.7172538243666057e-08,
2157
+ "loss": 1.4259,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.982085732565579,
2162
+ "grad_norm": 2.502306737907492,
2163
+ "learning_rate": 1.9564714107945804e-08,
2164
+ "loss": 1.533,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.9852847088931542,
2169
+ "grad_norm": 2.399652752946487,
2170
+ "learning_rate": 1.3202591733365577e-08,
2171
+ "loss": 1.4265,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.9884836852207294,
2176
+ "grad_norm": 2.4710638611047795,
2177
+ "learning_rate": 8.086965204233688e-09,
2178
+ "loss": 1.5123,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.9916826615483045,
2183
+ "grad_norm": 2.6100528553962663,
2184
+ "learning_rate": 4.218473024261149e-09,
2185
+ "loss": 1.5122,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.9948816378758797,
2190
+ "grad_norm": 2.5237627996475465,
2191
+ "learning_rate": 1.5975980368709843e-09,
2192
+ "loss": 1.426,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.9980806142034548,
2197
+ "grad_norm": 2.508010573111159,
2198
+ "learning_rate": 2.2466736492643416e-10,
2199
+ "loss": 1.4184,
2200
+ "step": 1560
2201
+ },
2202
+ {
2203
+ "epoch": 1.0,
2204
+ "eval_loss": 1.526857614517212,
2205
+ "eval_runtime": 18.9319,
2206
+ "eval_samples_per_second": 26.41,
2207
+ "eval_steps_per_second": 0.845,
2208
+ "step": 1563
2209
  },
2210
  {
2211
  "epoch": 1.0,
2212
+ "step": 1563,
2213
+ "total_flos": 17631303106560.0,
2214
+ "train_loss": 1.5734304829583439,
2215
+ "train_runtime": 5865.6403,
2216
+ "train_samples_per_second": 8.524,
2217
+ "train_steps_per_second": 0.266
2218
  }
2219
  ],
2220
  "logging_steps": 5,
2221
+ "max_steps": 1563,
2222
  "num_input_tokens_seen": 0,
2223
  "num_train_epochs": 1,
2224
  "save_steps": 500,
 
2234
  "attributes": {}
2235
  }
2236
  },
2237
+ "total_flos": 17631303106560.0,
2238
  "train_batch_size": 8,
2239
  "trial_name": null,
2240
  "trial_params": null