File size: 5,916 Bytes
fc4465d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.8,
  "eval_steps": 100,
  "global_step": 800,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.03,
      "learning_rate": 0.0001666666666666667,
      "loss": 0.8745,
      "step": 25
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00019979028262377118,
      "loss": 0.8093,
      "step": 50
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019893981312363562,
      "loss": 0.7357,
      "step": 75
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019744105246469263,
      "loss": 0.7535,
      "step": 100
    },
    {
      "epoch": 0.1,
      "eval_loss": 0.4003306031227112,
      "eval_runtime": 1.7839,
      "eval_samples_per_second": 2.242,
      "eval_steps_per_second": 0.561,
      "step": 100
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0001953038210948861,
      "loss": 0.7249,
      "step": 125
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019254212296427044,
      "loss": 0.7118,
      "step": 150
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00018917405376582145,
      "loss": 0.7467,
      "step": 175
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00018522168236559695,
      "loss": 0.6714,
      "step": 200
    },
    {
      "epoch": 0.2,
      "eval_loss": 0.3684937059879303,
      "eval_runtime": 1.7853,
      "eval_samples_per_second": 2.24,
      "eval_steps_per_second": 0.56,
      "step": 200
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00018071090619916093,
      "loss": 0.654,
      "step": 225
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00017567128158176953,
      "loss": 0.6392,
      "step": 250
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00017013583004418993,
      "loss": 0.5745,
      "step": 275
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.000164140821963114,
      "loss": 0.5364,
      "step": 300
    },
    {
      "epoch": 0.3,
      "eval_loss": 0.3665352761745453,
      "eval_runtime": 1.7852,
      "eval_samples_per_second": 2.241,
      "eval_steps_per_second": 0.56,
      "step": 300
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00015772553890390197,
      "loss": 0.5693,
      "step": 325
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00015093201623287631,
      "loss": 0.563,
      "step": 350
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00014380476768566824,
      "loss": 0.5478,
      "step": 375
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00013639049369634876,
      "loss": 0.5763,
      "step": 400
    },
    {
      "epoch": 0.4,
      "eval_loss": 0.3363753855228424,
      "eval_runtime": 1.7851,
      "eval_samples_per_second": 2.241,
      "eval_steps_per_second": 0.56,
      "step": 400
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00012873777539848283,
      "loss": 0.4891,
      "step": 425
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00012089675630312754,
      "loss": 0.5331,
      "step": 450
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00011291881373954065,
      "loss": 0.5679,
      "step": 475
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00010485622221144484,
      "loss": 0.5982,
      "step": 500
    },
    {
      "epoch": 0.5,
      "eval_loss": 0.3186224400997162,
      "eval_runtime": 1.7828,
      "eval_samples_per_second": 2.244,
      "eval_steps_per_second": 0.561,
      "step": 500
    },
    {
      "epoch": 0.53,
      "learning_rate": 9.676181087466444e-05,
      "loss": 0.5467,
      "step": 525
    },
    {
      "epoch": 0.55,
      "learning_rate": 8.868861738047158e-05,
      "loss": 0.5706,
      "step": 550
    },
    {
      "epoch": 0.57,
      "learning_rate": 8.068954035279121e-05,
      "loss": 0.504,
      "step": 575
    },
    {
      "epoch": 0.6,
      "learning_rate": 7.281699277636572e-05,
      "loss": 0.5267,
      "step": 600
    },
    {
      "epoch": 0.6,
      "eval_loss": 0.32175499200820923,
      "eval_runtime": 1.7846,
      "eval_samples_per_second": 2.241,
      "eval_steps_per_second": 0.56,
      "step": 600
    },
    {
      "epoch": 0.62,
      "learning_rate": 6.512255856701177e-05,
      "loss": 0.5414,
      "step": 625
    },
    {
      "epoch": 0.65,
      "learning_rate": 5.765665457425102e-05,
      "loss": 0.5412,
      "step": 650
    },
    {
      "epoch": 0.68,
      "learning_rate": 5.0468200231001286e-05,
      "loss": 0.4611,
      "step": 675
    },
    {
      "epoch": 0.7,
      "learning_rate": 4.360429701490934e-05,
      "loss": 0.5073,
      "step": 700
    },
    {
      "epoch": 0.7,
      "eval_loss": 0.31275978684425354,
      "eval_runtime": 1.7833,
      "eval_samples_per_second": 2.243,
      "eval_steps_per_second": 0.561,
      "step": 700
    },
    {
      "epoch": 0.72,
      "learning_rate": 3.710991982161555e-05,
      "loss": 0.4778,
      "step": 725
    },
    {
      "epoch": 0.75,
      "learning_rate": 3.102762227218957e-05,
      "loss": 0.5454,
      "step": 750
    },
    {
      "epoch": 0.78,
      "learning_rate": 2.5397257885675397e-05,
      "loss": 0.5612,
      "step": 775
    },
    {
      "epoch": 0.8,
      "learning_rate": 2.025571894372794e-05,
      "loss": 0.4983,
      "step": 800
    },
    {
      "epoch": 0.8,
      "eval_loss": 0.31457942724227905,
      "eval_runtime": 1.7821,
      "eval_samples_per_second": 2.245,
      "eval_steps_per_second": 0.561,
      "step": 800
    }
  ],
  "logging_steps": 25,
  "max_steps": 1000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9223372036854775807,
  "save_steps": 100,
  "total_flos": 1.1948058388463616e+18,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}