File size: 6,636 Bytes
722911a
9d0f564
 
 
f47b9f4
9d0f564
722911a
 
 
 
 
 
f47b9f4
 
 
 
 
 
f31472a
 
 
 
 
 
 
 
 
 
 
 
 
 
83a5442
 
 
 
 
 
 
 
 
 
 
 
 
 
07713b6
 
 
 
 
 
 
 
 
 
 
 
 
 
854227f
 
 
 
 
 
 
 
 
 
 
 
 
 
1f8d079
 
 
 
 
 
 
 
 
 
 
 
 
 
e492dbc
 
 
 
 
 
 
 
 
 
 
 
 
 
b3ffddc
 
 
 
 
 
 
 
 
 
 
 
 
 
f13b588
 
 
 
 
 
 
 
 
 
 
 
 
 
c2f1bcd
 
 
 
 
 
 
 
 
 
 
 
 
 
39d1885
 
 
 
 
 
 
 
 
 
 
 
 
 
49d1606
 
 
 
 
 
 
 
 
 
 
 
 
 
8795bf3
 
 
 
 
 
 
 
 
 
 
 
 
 
3c1461f
 
 
 
 
 
 
 
 
 
 
 
 
 
066c8e8
 
 
 
 
 
 
 
 
 
 
 
 
 
3be35ec
 
 
 
 
 
 
 
 
 
 
 
 
 
ea85377
 
 
 
 
 
 
 
 
 
 
 
 
 
f35d8c4
 
 
 
 
 
 
 
 
 
 
 
 
 
9d0f564
 
 
 
 
 
 
 
 
 
 
 
 
 
722911a
 
f47b9f4
066c8e8
f47b9f4
066c8e8
f47b9f4
9d0f564
f47b9f4
722911a
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
{
  "best_metric": 1.4376968145370483,
  "best_model_checkpoint": "ner-bert-ingredientstesting/checkpoint-12750",
  "epoch": 18.192320646682386,
  "eval_steps": 750,
  "global_step": 13500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "step": 742,
      "total_flos": 3.211629347340288e+16,
      "train_loss": 5.698867345434636,
      "train_runtime": 6114.1675,
      "train_samples_per_second": 15.538,
      "train_steps_per_second": 0.121
    },
    {
      "epoch": 1.01,
      "learning_rate": 4.9989218328840974e-05,
      "loss": 10.3965,
      "step": 750
    },
    {
      "epoch": 1.01,
      "eval_loss": 9.694682121276855,
      "eval_runtime": 84.6491,
      "eval_samples_per_second": 59.067,
      "eval_steps_per_second": 0.933,
      "step": 750
    },
    {
      "epoch": 2.02,
      "learning_rate": 4.897978436657682e-05,
      "loss": 4.9343,
      "step": 1500
    },
    {
      "epoch": 2.02,
      "eval_loss": 3.2859976291656494,
      "eval_runtime": 84.3631,
      "eval_samples_per_second": 59.268,
      "eval_steps_per_second": 0.936,
      "step": 1500
    },
    {
      "epoch": 3.03,
      "learning_rate": 4.796900269541779e-05,
      "loss": 2.8798,
      "step": 2250
    },
    {
      "epoch": 3.03,
      "eval_loss": 2.4815261363983154,
      "eval_runtime": 84.3896,
      "eval_samples_per_second": 59.249,
      "eval_steps_per_second": 0.936,
      "step": 2250
    },
    {
      "epoch": 4.04,
      "learning_rate": 4.6958221024258764e-05,
      "loss": 2.1885,
      "step": 3000
    },
    {
      "epoch": 4.04,
      "eval_loss": 1.9960429668426514,
      "eval_runtime": 84.3112,
      "eval_samples_per_second": 59.304,
      "eval_steps_per_second": 0.937,
      "step": 3000
    },
    {
      "epoch": 5.05,
      "learning_rate": 4.594743935309973e-05,
      "loss": 1.7594,
      "step": 3750
    },
    {
      "epoch": 5.05,
      "eval_loss": 1.7031219005584717,
      "eval_runtime": 84.3933,
      "eval_samples_per_second": 59.246,
      "eval_steps_per_second": 0.936,
      "step": 3750
    },
    {
      "epoch": 6.06,
      "learning_rate": 4.4936657681940705e-05,
      "loss": 1.4881,
      "step": 4500
    },
    {
      "epoch": 6.06,
      "eval_loss": 1.558716893196106,
      "eval_runtime": 84.4241,
      "eval_samples_per_second": 59.225,
      "eval_steps_per_second": 0.936,
      "step": 4500
    },
    {
      "epoch": 7.07,
      "learning_rate": 4.392587601078167e-05,
      "loss": 1.2897,
      "step": 5250
    },
    {
      "epoch": 7.07,
      "eval_loss": 1.5603703260421753,
      "eval_runtime": 84.4569,
      "eval_samples_per_second": 59.202,
      "eval_steps_per_second": 0.935,
      "step": 5250
    },
    {
      "epoch": 8.09,
      "learning_rate": 4.8989218328840976e-05,
      "loss": 3.6553,
      "step": 6000
    },
    {
      "epoch": 8.09,
      "eval_loss": 2.3138411045074463,
      "eval_runtime": 85.1227,
      "eval_samples_per_second": 58.739,
      "eval_steps_per_second": 0.928,
      "step": 6000
    },
    {
      "epoch": 9.1,
      "learning_rate": 4.7979784366576826e-05,
      "loss": 1.8488,
      "step": 6750
    },
    {
      "epoch": 9.1,
      "eval_loss": 1.7765036821365356,
      "eval_runtime": 84.6118,
      "eval_samples_per_second": 59.093,
      "eval_steps_per_second": 0.934,
      "step": 6750
    },
    {
      "epoch": 10.11,
      "learning_rate": 4.696900269541779e-05,
      "loss": 1.4372,
      "step": 7500
    },
    {
      "epoch": 10.11,
      "eval_loss": 1.5598968267440796,
      "eval_runtime": 84.6222,
      "eval_samples_per_second": 59.086,
      "eval_steps_per_second": 0.934,
      "step": 7500
    },
    {
      "epoch": 11.12,
      "learning_rate": 4.595822102425876e-05,
      "loss": 1.2011,
      "step": 8250
    },
    {
      "epoch": 11.12,
      "eval_loss": 1.4957914352416992,
      "eval_runtime": 84.6871,
      "eval_samples_per_second": 59.041,
      "eval_steps_per_second": 0.933,
      "step": 8250
    },
    {
      "epoch": 12.13,
      "learning_rate": 4.4947439353099734e-05,
      "loss": 1.0493,
      "step": 9000
    },
    {
      "epoch": 12.13,
      "eval_loss": 1.4617092609405518,
      "eval_runtime": 84.4178,
      "eval_samples_per_second": 59.229,
      "eval_steps_per_second": 0.936,
      "step": 9000
    },
    {
      "epoch": 13.14,
      "learning_rate": 4.39366576819407e-05,
      "loss": 0.922,
      "step": 9750
    },
    {
      "epoch": 13.14,
      "eval_loss": 1.3600549697875977,
      "eval_runtime": 84.2691,
      "eval_samples_per_second": 59.334,
      "eval_steps_per_second": 0.937,
      "step": 9750
    },
    {
      "epoch": 14.15,
      "learning_rate": 4.949528301886793e-05,
      "loss": 3.0742,
      "step": 10500
    },
    {
      "epoch": 14.15,
      "eval_loss": 2.005005359649658,
      "eval_runtime": 84.8703,
      "eval_samples_per_second": 58.913,
      "eval_steps_per_second": 0.931,
      "step": 10500
    },
    {
      "epoch": 15.16,
      "learning_rate": 4.898989218328841e-05,
      "loss": 1.4983,
      "step": 11250
    },
    {
      "epoch": 15.16,
      "eval_loss": 1.668813705444336,
      "eval_runtime": 84.5947,
      "eval_samples_per_second": 59.105,
      "eval_steps_per_second": 0.934,
      "step": 11250
    },
    {
      "epoch": 16.17,
      "learning_rate": 4.84845013477089e-05,
      "loss": 1.1598,
      "step": 12000
    },
    {
      "epoch": 16.17,
      "eval_loss": 1.5255405902862549,
      "eval_runtime": 84.5763,
      "eval_samples_per_second": 59.118,
      "eval_steps_per_second": 0.934,
      "step": 12000
    },
    {
      "epoch": 17.18,
      "learning_rate": 4.7979110512129385e-05,
      "loss": 0.9732,
      "step": 12750
    },
    {
      "epoch": 17.18,
      "eval_loss": 1.4376968145370483,
      "eval_runtime": 84.6742,
      "eval_samples_per_second": 59.05,
      "eval_steps_per_second": 0.933,
      "step": 12750
    },
    {
      "epoch": 18.19,
      "learning_rate": 4.7473719676549865e-05,
      "loss": 0.8466,
      "step": 13500
    },
    {
      "epoch": 18.19,
      "eval_loss": 1.4253113269805908,
      "eval_runtime": 84.5693,
      "eval_samples_per_second": 59.123,
      "eval_steps_per_second": 0.934,
      "step": 13500
    }
  ],
  "logging_steps": 750,
  "max_steps": 74200,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 100,
  "save_steps": 750,
  "total_flos": 5.842801055648563e+17,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}