pszemraj commited on
Commit
8f37d6c
1 Parent(s): ed83180

End of training

Browse files
Files changed (4) hide show
  1. all_results.json +15 -0
  2. eval_results.json +10 -0
  3. train_results.json +8 -0
  4. trainer_state.json +2353 -0
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.99,
3
+ "eval_accuracy": 0.4732233053015494,
4
+ "eval_loss": 3.0945498943328857,
5
+ "eval_runtime": 7.191,
6
+ "eval_samples": 2017,
7
+ "eval_samples_per_second": 280.489,
8
+ "eval_steps_per_second": 140.314,
9
+ "perplexity": 22.077299183356594,
10
+ "train_loss": 3.6050218030916037,
11
+ "train_runtime": 557.9113,
12
+ "train_samples": 18139,
13
+ "train_samples_per_second": 260.099,
14
+ "train_steps_per_second": 2.022
15
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.99,
3
+ "eval_accuracy": 0.4732233053015494,
4
+ "eval_loss": 3.0945498943328857,
5
+ "eval_runtime": 7.191,
6
+ "eval_samples": 2017,
7
+ "eval_samples_per_second": 280.489,
8
+ "eval_steps_per_second": 140.314,
9
+ "perplexity": 22.077299183356594
10
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.99,
3
+ "train_loss": 3.6050218030916037,
4
+ "train_runtime": 557.9113,
5
+ "train_samples": 18139,
6
+ "train_samples_per_second": 260.099,
7
+ "train_steps_per_second": 2.022
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2353 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.47660093674971465,
3
+ "best_model_checkpoint": "./runtime-masked/bert_uncased_L-2_H-128_A-2-mlm-multi-emails-hq/checkpoint-987",
4
+ "epoch": 7.994708994708994,
5
+ "global_step": 1128,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 1.5789473684210522e-05,
13
+ "loss": 5.0353,
14
+ "step": 3
15
+ },
16
+ {
17
+ "epoch": 0.04,
18
+ "learning_rate": 3.1578947368421045e-05,
19
+ "loss": 5.0947,
20
+ "step": 6
21
+ },
22
+ {
23
+ "epoch": 0.06,
24
+ "learning_rate": 4.7368421052631574e-05,
25
+ "loss": 5.0512,
26
+ "step": 9
27
+ },
28
+ {
29
+ "epoch": 0.08,
30
+ "learning_rate": 6.315789473684209e-05,
31
+ "loss": 4.9084,
32
+ "step": 12
33
+ },
34
+ {
35
+ "epoch": 0.11,
36
+ "learning_rate": 7.894736842105262e-05,
37
+ "loss": 4.9194,
38
+ "step": 15
39
+ },
40
+ {
41
+ "epoch": 0.13,
42
+ "learning_rate": 9.473684210526315e-05,
43
+ "loss": 4.8347,
44
+ "step": 18
45
+ },
46
+ {
47
+ "epoch": 0.15,
48
+ "learning_rate": 0.00011052631578947366,
49
+ "loss": 4.7759,
50
+ "step": 21
51
+ },
52
+ {
53
+ "epoch": 0.17,
54
+ "learning_rate": 0.00012631578947368418,
55
+ "loss": 4.7372,
56
+ "step": 24
57
+ },
58
+ {
59
+ "epoch": 0.19,
60
+ "learning_rate": 0.0001421052631578947,
61
+ "loss": 4.7002,
62
+ "step": 27
63
+ },
64
+ {
65
+ "epoch": 0.21,
66
+ "learning_rate": 0.00015789473684210524,
67
+ "loss": 4.6299,
68
+ "step": 30
69
+ },
70
+ {
71
+ "epoch": 0.23,
72
+ "learning_rate": 0.0001736842105263158,
73
+ "loss": 4.5503,
74
+ "step": 33
75
+ },
76
+ {
77
+ "epoch": 0.25,
78
+ "learning_rate": 0.0001894736842105263,
79
+ "loss": 4.5794,
80
+ "step": 36
81
+ },
82
+ {
83
+ "epoch": 0.28,
84
+ "learning_rate": 0.00020526315789473683,
85
+ "loss": 4.4404,
86
+ "step": 39
87
+ },
88
+ {
89
+ "epoch": 0.3,
90
+ "learning_rate": 0.00022105263157894733,
91
+ "loss": 4.5015,
92
+ "step": 42
93
+ },
94
+ {
95
+ "epoch": 0.32,
96
+ "learning_rate": 0.00023684210526315788,
97
+ "loss": 4.3954,
98
+ "step": 45
99
+ },
100
+ {
101
+ "epoch": 0.34,
102
+ "learning_rate": 0.00025263157894736836,
103
+ "loss": 4.3344,
104
+ "step": 48
105
+ },
106
+ {
107
+ "epoch": 0.36,
108
+ "learning_rate": 0.0002684210526315789,
109
+ "loss": 4.3077,
110
+ "step": 51
111
+ },
112
+ {
113
+ "epoch": 0.38,
114
+ "learning_rate": 0.0002842105263157894,
115
+ "loss": 4.275,
116
+ "step": 54
117
+ },
118
+ {
119
+ "epoch": 0.4,
120
+ "learning_rate": 0.0003,
121
+ "loss": 4.2386,
122
+ "step": 57
123
+ },
124
+ {
125
+ "epoch": 0.42,
126
+ "learning_rate": 0.00029999419206464364,
127
+ "loss": 4.2538,
128
+ "step": 60
129
+ },
130
+ {
131
+ "epoch": 0.44,
132
+ "learning_rate": 0.0002999767687083362,
133
+ "loss": 4.1491,
134
+ "step": 63
135
+ },
136
+ {
137
+ "epoch": 0.47,
138
+ "learning_rate": 0.0002999477312803273,
139
+ "loss": 4.1288,
140
+ "step": 66
141
+ },
142
+ {
143
+ "epoch": 0.49,
144
+ "learning_rate": 0.00029990708202925034,
145
+ "loss": 4.1081,
146
+ "step": 69
147
+ },
148
+ {
149
+ "epoch": 0.51,
150
+ "learning_rate": 0.0002998548241029483,
151
+ "loss": 4.1276,
152
+ "step": 72
153
+ },
154
+ {
155
+ "epoch": 0.53,
156
+ "learning_rate": 0.00029979096154823,
157
+ "loss": 4.0664,
158
+ "step": 75
159
+ },
160
+ {
161
+ "epoch": 0.55,
162
+ "learning_rate": 0.0002997154993105566,
163
+ "loss": 4.0946,
164
+ "step": 78
165
+ },
166
+ {
167
+ "epoch": 0.57,
168
+ "learning_rate": 0.0002996284432336587,
169
+ "loss": 4.0326,
170
+ "step": 81
171
+ },
172
+ {
173
+ "epoch": 0.59,
174
+ "learning_rate": 0.00029952980005908385,
175
+ "loss": 4.1449,
176
+ "step": 84
177
+ },
178
+ {
179
+ "epoch": 0.61,
180
+ "learning_rate": 0.0002994195774256746,
181
+ "loss": 4.0859,
182
+ "step": 87
183
+ },
184
+ {
185
+ "epoch": 0.63,
186
+ "learning_rate": 0.0002992977838689765,
187
+ "loss": 4.052,
188
+ "step": 90
189
+ },
190
+ {
191
+ "epoch": 0.66,
192
+ "learning_rate": 0.0002991644288205777,
193
+ "loss": 3.9777,
194
+ "step": 93
195
+ },
196
+ {
197
+ "epoch": 0.68,
198
+ "learning_rate": 0.00029901952260737825,
199
+ "loss": 4.0233,
200
+ "step": 96
201
+ },
202
+ {
203
+ "epoch": 0.7,
204
+ "learning_rate": 0.0002988630764507904,
205
+ "loss": 3.9186,
206
+ "step": 99
207
+ },
208
+ {
209
+ "epoch": 0.72,
210
+ "learning_rate": 0.0002986951024658695,
211
+ "loss": 3.9352,
212
+ "step": 102
213
+ },
214
+ {
215
+ "epoch": 0.74,
216
+ "learning_rate": 0.0002985156136603764,
217
+ "loss": 3.9825,
218
+ "step": 105
219
+ },
220
+ {
221
+ "epoch": 0.76,
222
+ "learning_rate": 0.0002983246239337692,
223
+ "loss": 3.9961,
224
+ "step": 108
225
+ },
226
+ {
227
+ "epoch": 0.78,
228
+ "learning_rate": 0.0002981221480761281,
229
+ "loss": 3.9801,
230
+ "step": 111
231
+ },
232
+ {
233
+ "epoch": 0.8,
234
+ "learning_rate": 0.0002979082017670087,
235
+ "loss": 3.9136,
236
+ "step": 114
237
+ },
238
+ {
239
+ "epoch": 0.83,
240
+ "learning_rate": 0.00029768280157422883,
241
+ "loss": 3.8618,
242
+ "step": 117
243
+ },
244
+ {
245
+ "epoch": 0.85,
246
+ "learning_rate": 0.00029744596495258525,
247
+ "loss": 3.8953,
248
+ "step": 120
249
+ },
250
+ {
251
+ "epoch": 0.87,
252
+ "learning_rate": 0.00029719771024250166,
253
+ "loss": 3.95,
254
+ "step": 123
255
+ },
256
+ {
257
+ "epoch": 0.89,
258
+ "learning_rate": 0.000296938056668609,
259
+ "loss": 3.8829,
260
+ "step": 126
261
+ },
262
+ {
263
+ "epoch": 0.91,
264
+ "learning_rate": 0.0002966670243382561,
265
+ "loss": 3.8937,
266
+ "step": 129
267
+ },
268
+ {
269
+ "epoch": 0.93,
270
+ "learning_rate": 0.00029638463423995305,
271
+ "loss": 3.8596,
272
+ "step": 132
273
+ },
274
+ {
275
+ "epoch": 0.95,
276
+ "learning_rate": 0.0002960909082417457,
277
+ "loss": 3.8494,
278
+ "step": 135
279
+ },
280
+ {
281
+ "epoch": 0.97,
282
+ "learning_rate": 0.0002957858690895221,
283
+ "loss": 3.8545,
284
+ "step": 138
285
+ },
286
+ {
287
+ "epoch": 0.99,
288
+ "learning_rate": 0.0002954695404052514,
289
+ "loss": 3.8974,
290
+ "step": 141
291
+ },
292
+ {
293
+ "epoch": 0.99,
294
+ "eval_accuracy": 0.42182521025962494,
295
+ "eval_loss": 3.5129101276397705,
296
+ "eval_runtime": 7.1205,
297
+ "eval_samples_per_second": 283.265,
298
+ "eval_steps_per_second": 141.703,
299
+ "step": 141
300
+ },
301
+ {
302
+ "epoch": 1.02,
303
+ "learning_rate": 0.00029514194668515416,
304
+ "loss": 4.7932,
305
+ "step": 144
306
+ },
307
+ {
308
+ "epoch": 1.04,
309
+ "learning_rate": 0.00029480311329780576,
310
+ "loss": 3.8152,
311
+ "step": 147
312
+ },
313
+ {
314
+ "epoch": 1.06,
315
+ "learning_rate": 0.0002944530664821717,
316
+ "loss": 3.7853,
317
+ "step": 150
318
+ },
319
+ {
320
+ "epoch": 1.08,
321
+ "learning_rate": 0.00029409183334557556,
322
+ "loss": 3.7879,
323
+ "step": 153
324
+ },
325
+ {
326
+ "epoch": 1.11,
327
+ "learning_rate": 0.00029371944186160016,
328
+ "loss": 3.8584,
329
+ "step": 156
330
+ },
331
+ {
332
+ "epoch": 1.13,
333
+ "learning_rate": 0.00029333592086792107,
334
+ "loss": 3.8126,
335
+ "step": 159
336
+ },
337
+ {
338
+ "epoch": 1.15,
339
+ "learning_rate": 0.0002929413000640735,
340
+ "loss": 3.8505,
341
+ "step": 162
342
+ },
343
+ {
344
+ "epoch": 1.17,
345
+ "learning_rate": 0.0002925356100091522,
346
+ "loss": 3.8638,
347
+ "step": 165
348
+ },
349
+ {
350
+ "epoch": 1.19,
351
+ "learning_rate": 0.00029211888211944553,
352
+ "loss": 3.8271,
353
+ "step": 168
354
+ },
355
+ {
356
+ "epoch": 1.21,
357
+ "learning_rate": 0.0002916911486660021,
358
+ "loss": 3.76,
359
+ "step": 171
360
+ },
361
+ {
362
+ "epoch": 1.23,
363
+ "learning_rate": 0.0002912524427721317,
364
+ "loss": 3.7647,
365
+ "step": 174
366
+ },
367
+ {
368
+ "epoch": 1.25,
369
+ "learning_rate": 0.00029080279841084075,
370
+ "loss": 3.7656,
371
+ "step": 177
372
+ },
373
+ {
374
+ "epoch": 1.28,
375
+ "learning_rate": 0.000290342250402201,
376
+ "loss": 3.7425,
377
+ "step": 180
378
+ },
379
+ {
380
+ "epoch": 1.3,
381
+ "learning_rate": 0.0002898708344106533,
382
+ "loss": 3.7809,
383
+ "step": 183
384
+ },
385
+ {
386
+ "epoch": 1.32,
387
+ "learning_rate": 0.00028938858694224574,
388
+ "loss": 3.8349,
389
+ "step": 186
390
+ },
391
+ {
392
+ "epoch": 1.34,
393
+ "learning_rate": 0.0002888955453418066,
394
+ "loss": 3.7542,
395
+ "step": 189
396
+ },
397
+ {
398
+ "epoch": 1.36,
399
+ "learning_rate": 0.0002883917477900524,
400
+ "loss": 3.7652,
401
+ "step": 192
402
+ },
403
+ {
404
+ "epoch": 1.38,
405
+ "learning_rate": 0.0002878772333006314,
406
+ "loss": 3.7324,
407
+ "step": 195
408
+ },
409
+ {
410
+ "epoch": 1.4,
411
+ "learning_rate": 0.0002873520417171021,
412
+ "loss": 3.7123,
413
+ "step": 198
414
+ },
415
+ {
416
+ "epoch": 1.42,
417
+ "learning_rate": 0.00028681621370984817,
418
+ "loss": 3.7046,
419
+ "step": 201
420
+ },
421
+ {
422
+ "epoch": 1.44,
423
+ "learning_rate": 0.0002862697907729285,
424
+ "loss": 3.6747,
425
+ "step": 204
426
+ },
427
+ {
428
+ "epoch": 1.47,
429
+ "learning_rate": 0.00028571281522086453,
430
+ "loss": 3.6714,
431
+ "step": 207
432
+ },
433
+ {
434
+ "epoch": 1.49,
435
+ "learning_rate": 0.0002851453301853628,
436
+ "loss": 3.7639,
437
+ "step": 210
438
+ },
439
+ {
440
+ "epoch": 1.51,
441
+ "learning_rate": 0.0002845673796119755,
442
+ "loss": 3.811,
443
+ "step": 213
444
+ },
445
+ {
446
+ "epoch": 1.53,
447
+ "learning_rate": 0.0002839790082566967,
448
+ "loss": 3.7407,
449
+ "step": 216
450
+ },
451
+ {
452
+ "epoch": 1.55,
453
+ "learning_rate": 0.00028338026168249714,
454
+ "loss": 3.7508,
455
+ "step": 219
456
+ },
457
+ {
458
+ "epoch": 1.57,
459
+ "learning_rate": 0.0002827711862557954,
460
+ "loss": 3.6624,
461
+ "step": 222
462
+ },
463
+ {
464
+ "epoch": 1.59,
465
+ "learning_rate": 0.00028215182914286766,
466
+ "loss": 3.7081,
467
+ "step": 225
468
+ },
469
+ {
470
+ "epoch": 1.61,
471
+ "learning_rate": 0.0002815222383061948,
472
+ "loss": 3.7027,
473
+ "step": 228
474
+ },
475
+ {
476
+ "epoch": 1.63,
477
+ "learning_rate": 0.00028088246250074857,
478
+ "loss": 3.7365,
479
+ "step": 231
480
+ },
481
+ {
482
+ "epoch": 1.66,
483
+ "learning_rate": 0.0002802325512702159,
484
+ "loss": 3.6906,
485
+ "step": 234
486
+ },
487
+ {
488
+ "epoch": 1.68,
489
+ "learning_rate": 0.0002795725549431624,
490
+ "loss": 3.7296,
491
+ "step": 237
492
+ },
493
+ {
494
+ "epoch": 1.7,
495
+ "learning_rate": 0.0002789025246291347,
496
+ "loss": 3.6572,
497
+ "step": 240
498
+ },
499
+ {
500
+ "epoch": 1.72,
501
+ "learning_rate": 0.0002782225122147029,
502
+ "loss": 3.7676,
503
+ "step": 243
504
+ },
505
+ {
506
+ "epoch": 1.74,
507
+ "learning_rate": 0.0002775325703594421,
508
+ "loss": 3.7506,
509
+ "step": 246
510
+ },
511
+ {
512
+ "epoch": 1.76,
513
+ "learning_rate": 0.00027683275249185504,
514
+ "loss": 3.6966,
515
+ "step": 249
516
+ },
517
+ {
518
+ "epoch": 1.78,
519
+ "learning_rate": 0.0002761231128052341,
520
+ "loss": 3.6229,
521
+ "step": 252
522
+ },
523
+ {
524
+ "epoch": 1.8,
525
+ "learning_rate": 0.00027540370625346507,
526
+ "loss": 3.6964,
527
+ "step": 255
528
+ },
529
+ {
530
+ "epoch": 1.83,
531
+ "learning_rate": 0.0002746745885467712,
532
+ "loss": 3.6367,
533
+ "step": 258
534
+ },
535
+ {
536
+ "epoch": 1.85,
537
+ "learning_rate": 0.00027393581614739923,
538
+ "loss": 3.6899,
539
+ "step": 261
540
+ },
541
+ {
542
+ "epoch": 1.87,
543
+ "learning_rate": 0.000273187446265247,
544
+ "loss": 3.661,
545
+ "step": 264
546
+ },
547
+ {
548
+ "epoch": 1.89,
549
+ "learning_rate": 0.00027242953685343327,
550
+ "loss": 3.7046,
551
+ "step": 267
552
+ },
553
+ {
554
+ "epoch": 1.91,
555
+ "learning_rate": 0.0002716621466038095,
556
+ "loss": 3.6271,
557
+ "step": 270
558
+ },
559
+ {
560
+ "epoch": 1.93,
561
+ "learning_rate": 0.0002708853349424152,
562
+ "loss": 3.5838,
563
+ "step": 273
564
+ },
565
+ {
566
+ "epoch": 1.95,
567
+ "learning_rate": 0.000270099162024876,
568
+ "loss": 3.6223,
569
+ "step": 276
570
+ },
571
+ {
572
+ "epoch": 1.97,
573
+ "learning_rate": 0.0002693036887317449,
574
+ "loss": 3.6492,
575
+ "step": 279
576
+ },
577
+ {
578
+ "epoch": 1.99,
579
+ "learning_rate": 0.0002684989766637882,
580
+ "loss": 3.7009,
581
+ "step": 282
582
+ },
583
+ {
584
+ "epoch": 1.99,
585
+ "eval_accuracy": 0.44521651429020515,
586
+ "eval_loss": 3.329479217529297,
587
+ "eval_runtime": 7.098,
588
+ "eval_samples_per_second": 284.164,
589
+ "eval_steps_per_second": 142.153,
590
+ "step": 282
591
+ },
592
+ {
593
+ "epoch": 2.02,
594
+ "learning_rate": 0.0002676850881372147,
595
+ "loss": 4.5343,
596
+ "step": 285
597
+ },
598
+ {
599
+ "epoch": 2.04,
600
+ "learning_rate": 0.00026686208617885055,
601
+ "loss": 3.6713,
602
+ "step": 288
603
+ },
604
+ {
605
+ "epoch": 2.06,
606
+ "learning_rate": 0.0002660300345212579,
607
+ "loss": 3.5313,
608
+ "step": 291
609
+ },
610
+ {
611
+ "epoch": 2.08,
612
+ "learning_rate": 0.0002651889975978001,
613
+ "loss": 3.6284,
614
+ "step": 294
615
+ },
616
+ {
617
+ "epoch": 2.11,
618
+ "learning_rate": 0.0002643390405376515,
619
+ "loss": 3.6498,
620
+ "step": 297
621
+ },
622
+ {
623
+ "epoch": 2.13,
624
+ "learning_rate": 0.00026348022916075436,
625
+ "loss": 3.5984,
626
+ "step": 300
627
+ },
628
+ {
629
+ "epoch": 2.15,
630
+ "learning_rate": 0.00026261262997272135,
631
+ "loss": 3.6395,
632
+ "step": 303
633
+ },
634
+ {
635
+ "epoch": 2.17,
636
+ "learning_rate": 0.00026173631015968585,
637
+ "loss": 3.6397,
638
+ "step": 306
639
+ },
640
+ {
641
+ "epoch": 2.19,
642
+ "learning_rate": 0.00026085133758309883,
643
+ "loss": 3.6392,
644
+ "step": 309
645
+ },
646
+ {
647
+ "epoch": 2.21,
648
+ "learning_rate": 0.0002599577807744739,
649
+ "loss": 3.6054,
650
+ "step": 312
651
+ },
652
+ {
653
+ "epoch": 2.23,
654
+ "learning_rate": 0.0002590557089300802,
655
+ "loss": 3.649,
656
+ "step": 315
657
+ },
658
+ {
659
+ "epoch": 2.25,
660
+ "learning_rate": 0.0002581451919055837,
661
+ "loss": 3.5249,
662
+ "step": 318
663
+ },
664
+ {
665
+ "epoch": 2.28,
666
+ "learning_rate": 0.0002572263002106381,
667
+ "loss": 3.599,
668
+ "step": 321
669
+ },
670
+ {
671
+ "epoch": 2.3,
672
+ "learning_rate": 0.00025629910500342423,
673
+ "loss": 3.6279,
674
+ "step": 324
675
+ },
676
+ {
677
+ "epoch": 2.32,
678
+ "learning_rate": 0.00025536367808513973,
679
+ "loss": 3.5986,
680
+ "step": 327
681
+ },
682
+ {
683
+ "epoch": 2.34,
684
+ "learning_rate": 0.000254420091894439,
685
+ "loss": 3.613,
686
+ "step": 330
687
+ },
688
+ {
689
+ "epoch": 2.36,
690
+ "learning_rate": 0.0002534684195018232,
691
+ "loss": 3.5667,
692
+ "step": 333
693
+ },
694
+ {
695
+ "epoch": 2.38,
696
+ "learning_rate": 0.0002525087346039822,
697
+ "loss": 3.5672,
698
+ "step": 336
699
+ },
700
+ {
701
+ "epoch": 2.4,
702
+ "learning_rate": 0.0002515411115180875,
703
+ "loss": 3.5449,
704
+ "step": 339
705
+ },
706
+ {
707
+ "epoch": 2.42,
708
+ "learning_rate": 0.00025056562517603666,
709
+ "loss": 3.5743,
710
+ "step": 342
711
+ },
712
+ {
713
+ "epoch": 2.44,
714
+ "learning_rate": 0.0002495823511186512,
715
+ "loss": 3.5829,
716
+ "step": 345
717
+ },
718
+ {
719
+ "epoch": 2.47,
720
+ "learning_rate": 0.0002485913654898268,
721
+ "loss": 3.6092,
722
+ "step": 348
723
+ },
724
+ {
725
+ "epoch": 2.49,
726
+ "learning_rate": 0.0002475927450306363,
727
+ "loss": 3.5628,
728
+ "step": 351
729
+ },
730
+ {
731
+ "epoch": 2.51,
732
+ "learning_rate": 0.0002465865670733873,
733
+ "loss": 3.613,
734
+ "step": 354
735
+ },
736
+ {
737
+ "epoch": 2.53,
738
+ "learning_rate": 0.00024557290953563366,
739
+ "loss": 3.5926,
740
+ "step": 357
741
+ },
742
+ {
743
+ "epoch": 2.55,
744
+ "learning_rate": 0.00024455185091414136,
745
+ "loss": 3.6004,
746
+ "step": 360
747
+ },
748
+ {
749
+ "epoch": 2.57,
750
+ "learning_rate": 0.00024352347027881003,
751
+ "loss": 3.6115,
752
+ "step": 363
753
+ },
754
+ {
755
+ "epoch": 2.59,
756
+ "learning_rate": 0.00024248784726654961,
757
+ "loss": 3.6296,
758
+ "step": 366
759
+ },
760
+ {
761
+ "epoch": 2.61,
762
+ "learning_rate": 0.0002414450620751136,
763
+ "loss": 3.567,
764
+ "step": 369
765
+ },
766
+ {
767
+ "epoch": 2.63,
768
+ "learning_rate": 0.00024039519545688846,
769
+ "loss": 3.5447,
770
+ "step": 372
771
+ },
772
+ {
773
+ "epoch": 2.66,
774
+ "learning_rate": 0.00023933832871264016,
775
+ "loss": 3.5445,
776
+ "step": 375
777
+ },
778
+ {
779
+ "epoch": 2.68,
780
+ "learning_rate": 0.00023827454368521844,
781
+ "loss": 3.602,
782
+ "step": 378
783
+ },
784
+ {
785
+ "epoch": 2.7,
786
+ "learning_rate": 0.00023720392275321895,
787
+ "loss": 3.5547,
788
+ "step": 381
789
+ },
790
+ {
791
+ "epoch": 2.72,
792
+ "learning_rate": 0.0002361265488246039,
793
+ "loss": 3.5888,
794
+ "step": 384
795
+ },
796
+ {
797
+ "epoch": 2.74,
798
+ "learning_rate": 0.0002350425053302817,
799
+ "loss": 3.555,
800
+ "step": 387
801
+ },
802
+ {
803
+ "epoch": 2.76,
804
+ "learning_rate": 0.0002339518762176462,
805
+ "loss": 3.5593,
806
+ "step": 390
807
+ },
808
+ {
809
+ "epoch": 2.78,
810
+ "learning_rate": 0.00023285474594407585,
811
+ "loss": 3.5636,
812
+ "step": 393
813
+ },
814
+ {
815
+ "epoch": 2.8,
816
+ "learning_rate": 0.00023175119947039342,
817
+ "loss": 3.5646,
818
+ "step": 396
819
+ },
820
+ {
821
+ "epoch": 2.83,
822
+ "learning_rate": 0.00023064132225428659,
823
+ "loss": 3.5013,
824
+ "step": 399
825
+ },
826
+ {
827
+ "epoch": 2.85,
828
+ "learning_rate": 0.0002295252002436904,
829
+ "loss": 3.4809,
830
+ "step": 402
831
+ },
832
+ {
833
+ "epoch": 2.87,
834
+ "learning_rate": 0.00022840291987013143,
835
+ "loss": 3.4732,
836
+ "step": 405
837
+ },
838
+ {
839
+ "epoch": 2.89,
840
+ "learning_rate": 0.00022727456804203436,
841
+ "loss": 3.4971,
842
+ "step": 408
843
+ },
844
+ {
845
+ "epoch": 2.91,
846
+ "learning_rate": 0.00022614023213799234,
847
+ "loss": 3.502,
848
+ "step": 411
849
+ },
850
+ {
851
+ "epoch": 2.93,
852
+ "learning_rate": 0.000225,
853
+ "loss": 3.5042,
854
+ "step": 414
855
+ },
856
+ {
857
+ "epoch": 2.95,
858
+ "learning_rate": 0.00022385395992665128,
859
+ "loss": 3.6605,
860
+ "step": 417
861
+ },
862
+ {
863
+ "epoch": 2.97,
864
+ "learning_rate": 0.0002227022006663018,
865
+ "loss": 3.5878,
866
+ "step": 420
867
+ },
868
+ {
869
+ "epoch": 2.99,
870
+ "learning_rate": 0.00022154481141019585,
871
+ "loss": 3.5845,
872
+ "step": 423
873
+ },
874
+ {
875
+ "epoch": 2.99,
876
+ "eval_accuracy": 0.45894501850558433,
877
+ "eval_loss": 3.2218551635742188,
878
+ "eval_runtime": 7.1194,
879
+ "eval_samples_per_second": 283.31,
880
+ "eval_steps_per_second": 141.725,
881
+ "step": 423
882
+ },
883
+ {
884
+ "epoch": 3.02,
885
+ "learning_rate": 0.00022038188178555992,
886
+ "loss": 4.4562,
887
+ "step": 426
888
+ },
889
+ {
890
+ "epoch": 3.04,
891
+ "learning_rate": 0.00021921350184866178,
892
+ "loss": 3.5152,
893
+ "step": 429
894
+ },
895
+ {
896
+ "epoch": 3.06,
897
+ "learning_rate": 0.0002180397620778366,
898
+ "loss": 3.5466,
899
+ "step": 432
900
+ },
901
+ {
902
+ "epoch": 3.08,
903
+ "learning_rate": 0.00021686075336648075,
904
+ "loss": 3.5805,
905
+ "step": 435
906
+ },
907
+ {
908
+ "epoch": 3.11,
909
+ "learning_rate": 0.00021567656701601247,
910
+ "loss": 3.4612,
911
+ "step": 438
912
+ },
913
+ {
914
+ "epoch": 3.13,
915
+ "learning_rate": 0.00021448729472880215,
916
+ "loss": 3.5251,
917
+ "step": 441
918
+ },
919
+ {
920
+ "epoch": 3.15,
921
+ "learning_rate": 0.00021329302860107063,
922
+ "loss": 3.5363,
923
+ "step": 444
924
+ },
925
+ {
926
+ "epoch": 3.17,
927
+ "learning_rate": 0.00021209386111575753,
928
+ "loss": 3.5013,
929
+ "step": 447
930
+ },
931
+ {
932
+ "epoch": 3.19,
933
+ "learning_rate": 0.00021088988513535931,
934
+ "loss": 3.542,
935
+ "step": 450
936
+ },
937
+ {
938
+ "epoch": 3.21,
939
+ "learning_rate": 0.0002096811938947381,
940
+ "loss": 3.5095,
941
+ "step": 453
942
+ },
943
+ {
944
+ "epoch": 3.23,
945
+ "learning_rate": 0.00020846788099390188,
946
+ "loss": 3.5267,
947
+ "step": 456
948
+ },
949
+ {
950
+ "epoch": 3.25,
951
+ "learning_rate": 0.00020725004039075587,
952
+ "loss": 3.4362,
953
+ "step": 459
954
+ },
955
+ {
956
+ "epoch": 3.28,
957
+ "learning_rate": 0.00020602776639382672,
958
+ "loss": 3.5144,
959
+ "step": 462
960
+ },
961
+ {
962
+ "epoch": 3.3,
963
+ "learning_rate": 0.00020480115365495926,
964
+ "loss": 3.4616,
965
+ "step": 465
966
+ },
967
+ {
968
+ "epoch": 3.32,
969
+ "learning_rate": 0.0002035702971619867,
970
+ "loss": 3.5137,
971
+ "step": 468
972
+ },
973
+ {
974
+ "epoch": 3.34,
975
+ "learning_rate": 0.00020233529223137502,
976
+ "loss": 3.4768,
977
+ "step": 471
978
+ },
979
+ {
980
+ "epoch": 3.36,
981
+ "learning_rate": 0.00020109623450084154,
982
+ "loss": 3.5287,
983
+ "step": 474
984
+ },
985
+ {
986
+ "epoch": 3.38,
987
+ "learning_rate": 0.00019985321992194892,
988
+ "loss": 3.5211,
989
+ "step": 477
990
+ },
991
+ {
992
+ "epoch": 3.4,
993
+ "learning_rate": 0.00019860634475267488,
994
+ "loss": 3.5589,
995
+ "step": 480
996
+ },
997
+ {
998
+ "epoch": 3.42,
999
+ "learning_rate": 0.00019735570554995776,
1000
+ "loss": 3.4963,
1001
+ "step": 483
1002
+ },
1003
+ {
1004
+ "epoch": 3.44,
1005
+ "learning_rate": 0.00019610139916221943,
1006
+ "loss": 3.5406,
1007
+ "step": 486
1008
+ },
1009
+ {
1010
+ "epoch": 3.47,
1011
+ "learning_rate": 0.0001948435227218655,
1012
+ "loss": 3.5183,
1013
+ "step": 489
1014
+ },
1015
+ {
1016
+ "epoch": 3.49,
1017
+ "learning_rate": 0.0001935821736377634,
1018
+ "loss": 3.5413,
1019
+ "step": 492
1020
+ },
1021
+ {
1022
+ "epoch": 3.51,
1023
+ "learning_rate": 0.0001923174495876989,
1024
+ "loss": 3.4245,
1025
+ "step": 495
1026
+ },
1027
+ {
1028
+ "epoch": 3.53,
1029
+ "learning_rate": 0.00019104944851081244,
1030
+ "loss": 3.5263,
1031
+ "step": 498
1032
+ },
1033
+ {
1034
+ "epoch": 3.55,
1035
+ "learning_rate": 0.00018977826860001442,
1036
+ "loss": 3.4864,
1037
+ "step": 501
1038
+ },
1039
+ {
1040
+ "epoch": 3.57,
1041
+ "learning_rate": 0.00018850400829438155,
1042
+ "loss": 3.5034,
1043
+ "step": 504
1044
+ },
1045
+ {
1046
+ "epoch": 3.59,
1047
+ "learning_rate": 0.00018722676627153358,
1048
+ "loss": 3.4382,
1049
+ "step": 507
1050
+ },
1051
+ {
1052
+ "epoch": 3.61,
1053
+ "learning_rate": 0.00018594664143999187,
1054
+ "loss": 3.5283,
1055
+ "step": 510
1056
+ },
1057
+ {
1058
+ "epoch": 3.63,
1059
+ "learning_rate": 0.00018466373293152,
1060
+ "loss": 3.5367,
1061
+ "step": 513
1062
+ },
1063
+ {
1064
+ "epoch": 3.66,
1065
+ "learning_rate": 0.00018337814009344714,
1066
+ "loss": 3.5376,
1067
+ "step": 516
1068
+ },
1069
+ {
1070
+ "epoch": 3.68,
1071
+ "learning_rate": 0.00018208996248097458,
1072
+ "loss": 3.5159,
1073
+ "step": 519
1074
+ },
1075
+ {
1076
+ "epoch": 3.7,
1077
+ "learning_rate": 0.00018079929984946637,
1078
+ "loss": 3.489,
1079
+ "step": 522
1080
+ },
1081
+ {
1082
+ "epoch": 3.72,
1083
+ "learning_rate": 0.0001795062521467242,
1084
+ "loss": 3.4791,
1085
+ "step": 525
1086
+ },
1087
+ {
1088
+ "epoch": 3.74,
1089
+ "learning_rate": 0.00017821091950524768,
1090
+ "loss": 3.4478,
1091
+ "step": 528
1092
+ },
1093
+ {
1094
+ "epoch": 3.76,
1095
+ "learning_rate": 0.00017691340223448016,
1096
+ "loss": 3.4824,
1097
+ "step": 531
1098
+ },
1099
+ {
1100
+ "epoch": 3.78,
1101
+ "learning_rate": 0.00017561380081304058,
1102
+ "loss": 3.4876,
1103
+ "step": 534
1104
+ },
1105
+ {
1106
+ "epoch": 3.8,
1107
+ "learning_rate": 0.00017431221588094307,
1108
+ "loss": 3.5219,
1109
+ "step": 537
1110
+ },
1111
+ {
1112
+ "epoch": 3.83,
1113
+ "learning_rate": 0.00017300874823180282,
1114
+ "loss": 3.4727,
1115
+ "step": 540
1116
+ },
1117
+ {
1118
+ "epoch": 3.85,
1119
+ "learning_rate": 0.00017170349880503107,
1120
+ "loss": 3.4474,
1121
+ "step": 543
1122
+ },
1123
+ {
1124
+ "epoch": 3.87,
1125
+ "learning_rate": 0.00017039656867801845,
1126
+ "loss": 3.4553,
1127
+ "step": 546
1128
+ },
1129
+ {
1130
+ "epoch": 3.89,
1131
+ "learning_rate": 0.00016908805905830752,
1132
+ "loss": 3.4837,
1133
+ "step": 549
1134
+ },
1135
+ {
1136
+ "epoch": 3.91,
1137
+ "learning_rate": 0.00016777807127575542,
1138
+ "loss": 3.4804,
1139
+ "step": 552
1140
+ },
1141
+ {
1142
+ "epoch": 3.93,
1143
+ "learning_rate": 0.00016646670677468686,
1144
+ "loss": 3.4665,
1145
+ "step": 555
1146
+ },
1147
+ {
1148
+ "epoch": 3.95,
1149
+ "learning_rate": 0.00016515406710603867,
1150
+ "loss": 3.4832,
1151
+ "step": 558
1152
+ },
1153
+ {
1154
+ "epoch": 3.97,
1155
+ "learning_rate": 0.0001638402539194953,
1156
+ "loss": 3.428,
1157
+ "step": 561
1158
+ },
1159
+ {
1160
+ "epoch": 3.99,
1161
+ "learning_rate": 0.00016252536895561753,
1162
+ "loss": 3.4976,
1163
+ "step": 564
1164
+ },
1165
+ {
1166
+ "epoch": 3.99,
1167
+ "eval_accuracy": 0.46655492116704206,
1168
+ "eval_loss": 3.1618497371673584,
1169
+ "eval_runtime": 7.1255,
1170
+ "eval_samples_per_second": 283.069,
1171
+ "eval_steps_per_second": 141.605,
1172
+ "step": 564
1173
+ },
1174
+ {
1175
+ "epoch": 4.02,
1176
+ "learning_rate": 0.00016120951403796364,
1177
+ "loss": 4.4347,
1178
+ "step": 567
1179
+ },
1180
+ {
1181
+ "epoch": 4.04,
1182
+ "learning_rate": 0.00015989279106520427,
1183
+ "loss": 3.4532,
1184
+ "step": 570
1185
+ },
1186
+ {
1187
+ "epoch": 4.06,
1188
+ "learning_rate": 0.00015857530200323163,
1189
+ "loss": 3.4226,
1190
+ "step": 573
1191
+ },
1192
+ {
1193
+ "epoch": 4.08,
1194
+ "learning_rate": 0.000157257148877263,
1195
+ "loss": 3.4455,
1196
+ "step": 576
1197
+ },
1198
+ {
1199
+ "epoch": 4.11,
1200
+ "learning_rate": 0.00015593843376394043,
1201
+ "loss": 3.4435,
1202
+ "step": 579
1203
+ },
1204
+ {
1205
+ "epoch": 4.13,
1206
+ "learning_rate": 0.00015461925878342556,
1207
+ "loss": 3.4103,
1208
+ "step": 582
1209
+ },
1210
+ {
1211
+ "epoch": 4.15,
1212
+ "learning_rate": 0.00015329972609149191,
1213
+ "loss": 3.4701,
1214
+ "step": 585
1215
+ },
1216
+ {
1217
+ "epoch": 4.17,
1218
+ "learning_rate": 0.00015197993787161384,
1219
+ "loss": 3.4195,
1220
+ "step": 588
1221
+ },
1222
+ {
1223
+ "epoch": 4.19,
1224
+ "learning_rate": 0.00015065999632705353,
1225
+ "loss": 3.4592,
1226
+ "step": 591
1227
+ },
1228
+ {
1229
+ "epoch": 4.21,
1230
+ "learning_rate": 0.00014934000367294647,
1231
+ "loss": 3.4675,
1232
+ "step": 594
1233
+ },
1234
+ {
1235
+ "epoch": 4.23,
1236
+ "learning_rate": 0.00014802006212838616,
1237
+ "loss": 3.5138,
1238
+ "step": 597
1239
+ },
1240
+ {
1241
+ "epoch": 4.25,
1242
+ "learning_rate": 0.00014670027390850809,
1243
+ "loss": 3.485,
1244
+ "step": 600
1245
+ },
1246
+ {
1247
+ "epoch": 4.28,
1248
+ "learning_rate": 0.00014538074121657447,
1249
+ "loss": 3.4549,
1250
+ "step": 603
1251
+ },
1252
+ {
1253
+ "epoch": 4.3,
1254
+ "learning_rate": 0.0001440615662360596,
1255
+ "loss": 3.4515,
1256
+ "step": 606
1257
+ },
1258
+ {
1259
+ "epoch": 4.32,
1260
+ "learning_rate": 0.000142742851122737,
1261
+ "loss": 3.4109,
1262
+ "step": 609
1263
+ },
1264
+ {
1265
+ "epoch": 4.34,
1266
+ "learning_rate": 0.00014142469799676831,
1267
+ "loss": 3.4207,
1268
+ "step": 612
1269
+ },
1270
+ {
1271
+ "epoch": 4.36,
1272
+ "learning_rate": 0.00014010720893479567,
1273
+ "loss": 3.4871,
1274
+ "step": 615
1275
+ },
1276
+ {
1277
+ "epoch": 4.38,
1278
+ "learning_rate": 0.00013879048596203636,
1279
+ "loss": 3.4328,
1280
+ "step": 618
1281
+ },
1282
+ {
1283
+ "epoch": 4.4,
1284
+ "learning_rate": 0.00013747463104438247,
1285
+ "loss": 3.4716,
1286
+ "step": 621
1287
+ },
1288
+ {
1289
+ "epoch": 4.42,
1290
+ "learning_rate": 0.0001361597460805047,
1291
+ "loss": 3.432,
1292
+ "step": 624
1293
+ },
1294
+ {
1295
+ "epoch": 4.44,
1296
+ "learning_rate": 0.00013484593289396133,
1297
+ "loss": 3.4307,
1298
+ "step": 627
1299
+ },
1300
+ {
1301
+ "epoch": 4.47,
1302
+ "learning_rate": 0.00013353329322531311,
1303
+ "loss": 3.5387,
1304
+ "step": 630
1305
+ },
1306
+ {
1307
+ "epoch": 4.49,
1308
+ "learning_rate": 0.0001322219287242446,
1309
+ "loss": 3.466,
1310
+ "step": 633
1311
+ },
1312
+ {
1313
+ "epoch": 4.51,
1314
+ "learning_rate": 0.0001309119409416925,
1315
+ "loss": 3.4677,
1316
+ "step": 636
1317
+ },
1318
+ {
1319
+ "epoch": 4.53,
1320
+ "learning_rate": 0.00012960343132198158,
1321
+ "loss": 3.3951,
1322
+ "step": 639
1323
+ },
1324
+ {
1325
+ "epoch": 4.55,
1326
+ "learning_rate": 0.00012829650119496896,
1327
+ "loss": 3.433,
1328
+ "step": 642
1329
+ },
1330
+ {
1331
+ "epoch": 4.57,
1332
+ "learning_rate": 0.00012699125176819716,
1333
+ "loss": 3.4642,
1334
+ "step": 645
1335
+ },
1336
+ {
1337
+ "epoch": 4.59,
1338
+ "learning_rate": 0.00012568778411905688,
1339
+ "loss": 3.429,
1340
+ "step": 648
1341
+ },
1342
+ {
1343
+ "epoch": 4.61,
1344
+ "learning_rate": 0.00012438619918695934,
1345
+ "loss": 3.4187,
1346
+ "step": 651
1347
+ },
1348
+ {
1349
+ "epoch": 4.63,
1350
+ "learning_rate": 0.00012308659776551984,
1351
+ "loss": 3.466,
1352
+ "step": 654
1353
+ },
1354
+ {
1355
+ "epoch": 4.66,
1356
+ "learning_rate": 0.00012178908049475228,
1357
+ "loss": 3.4039,
1358
+ "step": 657
1359
+ },
1360
+ {
1361
+ "epoch": 4.68,
1362
+ "learning_rate": 0.00012049374785327578,
1363
+ "loss": 3.4337,
1364
+ "step": 660
1365
+ },
1366
+ {
1367
+ "epoch": 4.7,
1368
+ "learning_rate": 0.00011920070015053363,
1369
+ "loss": 3.4728,
1370
+ "step": 663
1371
+ },
1372
+ {
1373
+ "epoch": 4.72,
1374
+ "learning_rate": 0.00011791003751902542,
1375
+ "loss": 3.5019,
1376
+ "step": 666
1377
+ },
1378
+ {
1379
+ "epoch": 4.74,
1380
+ "learning_rate": 0.00011662185990655284,
1381
+ "loss": 3.3873,
1382
+ "step": 669
1383
+ },
1384
+ {
1385
+ "epoch": 4.76,
1386
+ "learning_rate": 0.00011533626706848,
1387
+ "loss": 3.3441,
1388
+ "step": 672
1389
+ },
1390
+ {
1391
+ "epoch": 4.78,
1392
+ "learning_rate": 0.00011405335856000816,
1393
+ "loss": 3.4262,
1394
+ "step": 675
1395
+ },
1396
+ {
1397
+ "epoch": 4.8,
1398
+ "learning_rate": 0.00011277323372846643,
1399
+ "loss": 3.4619,
1400
+ "step": 678
1401
+ },
1402
+ {
1403
+ "epoch": 4.83,
1404
+ "learning_rate": 0.00011149599170561842,
1405
+ "loss": 3.4034,
1406
+ "step": 681
1407
+ },
1408
+ {
1409
+ "epoch": 4.85,
1410
+ "learning_rate": 0.00011022173139998555,
1411
+ "loss": 3.5172,
1412
+ "step": 684
1413
+ },
1414
+ {
1415
+ "epoch": 4.87,
1416
+ "learning_rate": 0.00010895055148918756,
1417
+ "loss": 3.4081,
1418
+ "step": 687
1419
+ },
1420
+ {
1421
+ "epoch": 4.89,
1422
+ "learning_rate": 0.00010768255041230107,
1423
+ "loss": 3.4555,
1424
+ "step": 690
1425
+ },
1426
+ {
1427
+ "epoch": 4.91,
1428
+ "learning_rate": 0.00010641782636223658,
1429
+ "loss": 3.4756,
1430
+ "step": 693
1431
+ },
1432
+ {
1433
+ "epoch": 4.93,
1434
+ "learning_rate": 0.00010515647727813445,
1435
+ "loss": 3.3765,
1436
+ "step": 696
1437
+ },
1438
+ {
1439
+ "epoch": 4.95,
1440
+ "learning_rate": 0.00010389860083778056,
1441
+ "loss": 3.4485,
1442
+ "step": 699
1443
+ },
1444
+ {
1445
+ "epoch": 4.97,
1446
+ "learning_rate": 0.00010264429445004229,
1447
+ "loss": 3.4879,
1448
+ "step": 702
1449
+ },
1450
+ {
1451
+ "epoch": 4.99,
1452
+ "learning_rate": 0.00010139365524732513,
1453
+ "loss": 3.4356,
1454
+ "step": 705
1455
+ },
1456
+ {
1457
+ "epoch": 4.99,
1458
+ "eval_accuracy": 0.4739487637146307,
1459
+ "eval_loss": 3.100182056427002,
1460
+ "eval_runtime": 7.093,
1461
+ "eval_samples_per_second": 284.366,
1462
+ "eval_steps_per_second": 142.254,
1463
+ "step": 705
1464
+ },
1465
+ {
1466
+ "epoch": 5.02,
1467
+ "learning_rate": 0.00010014678007805106,
1468
+ "loss": 4.224,
1469
+ "step": 708
1470
+ },
1471
+ {
1472
+ "epoch": 5.04,
1473
+ "learning_rate": 9.890376549915847e-05,
1474
+ "loss": 3.4427,
1475
+ "step": 711
1476
+ },
1477
+ {
1478
+ "epoch": 5.06,
1479
+ "learning_rate": 9.766470776862499e-05,
1480
+ "loss": 3.4274,
1481
+ "step": 714
1482
+ },
1483
+ {
1484
+ "epoch": 5.08,
1485
+ "learning_rate": 9.642970283801327e-05,
1486
+ "loss": 3.4132,
1487
+ "step": 717
1488
+ },
1489
+ {
1490
+ "epoch": 5.11,
1491
+ "learning_rate": 9.519884634504074e-05,
1492
+ "loss": 3.3957,
1493
+ "step": 720
1494
+ },
1495
+ {
1496
+ "epoch": 5.13,
1497
+ "learning_rate": 9.397223360617325e-05,
1498
+ "loss": 3.4081,
1499
+ "step": 723
1500
+ },
1501
+ {
1502
+ "epoch": 5.15,
1503
+ "learning_rate": 9.274995960924409e-05,
1504
+ "loss": 3.4419,
1505
+ "step": 726
1506
+ },
1507
+ {
1508
+ "epoch": 5.17,
1509
+ "learning_rate": 9.15321190060981e-05,
1510
+ "loss": 3.4608,
1511
+ "step": 729
1512
+ },
1513
+ {
1514
+ "epoch": 5.19,
1515
+ "learning_rate": 9.031880610526189e-05,
1516
+ "loss": 3.401,
1517
+ "step": 732
1518
+ },
1519
+ {
1520
+ "epoch": 5.21,
1521
+ "learning_rate": 8.91101148646407e-05,
1522
+ "loss": 3.3991,
1523
+ "step": 735
1524
+ },
1525
+ {
1526
+ "epoch": 5.23,
1527
+ "learning_rate": 8.790613888424248e-05,
1528
+ "loss": 3.4329,
1529
+ "step": 738
1530
+ },
1531
+ {
1532
+ "epoch": 5.25,
1533
+ "learning_rate": 8.670697139892933e-05,
1534
+ "loss": 3.4085,
1535
+ "step": 741
1536
+ },
1537
+ {
1538
+ "epoch": 5.28,
1539
+ "learning_rate": 8.551270527119782e-05,
1540
+ "loss": 3.4269,
1541
+ "step": 744
1542
+ },
1543
+ {
1544
+ "epoch": 5.3,
1545
+ "learning_rate": 8.432343298398748e-05,
1546
+ "loss": 3.3984,
1547
+ "step": 747
1548
+ },
1549
+ {
1550
+ "epoch": 5.32,
1551
+ "learning_rate": 8.313924663351926e-05,
1552
+ "loss": 3.3986,
1553
+ "step": 750
1554
+ },
1555
+ {
1556
+ "epoch": 5.34,
1557
+ "learning_rate": 8.196023792216334e-05,
1558
+ "loss": 3.4602,
1559
+ "step": 753
1560
+ },
1561
+ {
1562
+ "epoch": 5.36,
1563
+ "learning_rate": 8.078649815133826e-05,
1564
+ "loss": 3.4649,
1565
+ "step": 756
1566
+ },
1567
+ {
1568
+ "epoch": 5.38,
1569
+ "learning_rate": 7.961811821444008e-05,
1570
+ "loss": 3.3909,
1571
+ "step": 759
1572
+ },
1573
+ {
1574
+ "epoch": 5.4,
1575
+ "learning_rate": 7.845518858980415e-05,
1576
+ "loss": 3.3896,
1577
+ "step": 762
1578
+ },
1579
+ {
1580
+ "epoch": 5.42,
1581
+ "learning_rate": 7.729779933369818e-05,
1582
+ "loss": 3.3746,
1583
+ "step": 765
1584
+ },
1585
+ {
1586
+ "epoch": 5.44,
1587
+ "learning_rate": 7.614604007334866e-05,
1588
+ "loss": 3.4258,
1589
+ "step": 768
1590
+ },
1591
+ {
1592
+ "epoch": 5.47,
1593
+ "learning_rate": 7.500000000000002e-05,
1594
+ "loss": 3.3834,
1595
+ "step": 771
1596
+ },
1597
+ {
1598
+ "epoch": 5.49,
1599
+ "learning_rate": 7.385976786200765e-05,
1600
+ "loss": 3.3626,
1601
+ "step": 774
1602
+ },
1603
+ {
1604
+ "epoch": 5.51,
1605
+ "learning_rate": 7.272543195796558e-05,
1606
+ "loss": 3.4169,
1607
+ "step": 777
1608
+ },
1609
+ {
1610
+ "epoch": 5.53,
1611
+ "learning_rate": 7.15970801298685e-05,
1612
+ "loss": 3.4288,
1613
+ "step": 780
1614
+ },
1615
+ {
1616
+ "epoch": 5.55,
1617
+ "learning_rate": 7.047479975630955e-05,
1618
+ "loss": 3.3825,
1619
+ "step": 783
1620
+ },
1621
+ {
1622
+ "epoch": 5.57,
1623
+ "learning_rate": 6.935867774571337e-05,
1624
+ "loss": 3.3973,
1625
+ "step": 786
1626
+ },
1627
+ {
1628
+ "epoch": 5.59,
1629
+ "learning_rate": 6.82488005296066e-05,
1630
+ "loss": 3.4212,
1631
+ "step": 789
1632
+ },
1633
+ {
1634
+ "epoch": 5.61,
1635
+ "learning_rate": 6.714525405592412e-05,
1636
+ "loss": 3.4038,
1637
+ "step": 792
1638
+ },
1639
+ {
1640
+ "epoch": 5.63,
1641
+ "learning_rate": 6.604812378235381e-05,
1642
+ "loss": 3.404,
1643
+ "step": 795
1644
+ },
1645
+ {
1646
+ "epoch": 5.66,
1647
+ "learning_rate": 6.495749466971827e-05,
1648
+ "loss": 3.4048,
1649
+ "step": 798
1650
+ },
1651
+ {
1652
+ "epoch": 5.68,
1653
+ "learning_rate": 6.38734511753961e-05,
1654
+ "loss": 3.4066,
1655
+ "step": 801
1656
+ },
1657
+ {
1658
+ "epoch": 5.7,
1659
+ "learning_rate": 6.279607724678103e-05,
1660
+ "loss": 3.3839,
1661
+ "step": 804
1662
+ },
1663
+ {
1664
+ "epoch": 5.72,
1665
+ "learning_rate": 6.172545631478156e-05,
1666
+ "loss": 3.4525,
1667
+ "step": 807
1668
+ },
1669
+ {
1670
+ "epoch": 5.74,
1671
+ "learning_rate": 6.066167128735988e-05,
1672
+ "loss": 3.3788,
1673
+ "step": 810
1674
+ },
1675
+ {
1676
+ "epoch": 5.76,
1677
+ "learning_rate": 5.960480454311155e-05,
1678
+ "loss": 3.3995,
1679
+ "step": 813
1680
+ },
1681
+ {
1682
+ "epoch": 5.78,
1683
+ "learning_rate": 5.855493792488637e-05,
1684
+ "loss": 3.4489,
1685
+ "step": 816
1686
+ },
1687
+ {
1688
+ "epoch": 5.8,
1689
+ "learning_rate": 5.751215273345036e-05,
1690
+ "loss": 3.3495,
1691
+ "step": 819
1692
+ },
1693
+ {
1694
+ "epoch": 5.83,
1695
+ "learning_rate": 5.6476529721189974e-05,
1696
+ "loss": 3.4403,
1697
+ "step": 822
1698
+ },
1699
+ {
1700
+ "epoch": 5.85,
1701
+ "learning_rate": 5.5448149085858596e-05,
1702
+ "loss": 3.3715,
1703
+ "step": 825
1704
+ },
1705
+ {
1706
+ "epoch": 5.87,
1707
+ "learning_rate": 5.4427090464366323e-05,
1708
+ "loss": 3.3936,
1709
+ "step": 828
1710
+ },
1711
+ {
1712
+ "epoch": 5.89,
1713
+ "learning_rate": 5.3413432926612655e-05,
1714
+ "loss": 3.3675,
1715
+ "step": 831
1716
+ },
1717
+ {
1718
+ "epoch": 5.91,
1719
+ "learning_rate": 5.240725496936372e-05,
1720
+ "loss": 3.405,
1721
+ "step": 834
1722
+ },
1723
+ {
1724
+ "epoch": 5.93,
1725
+ "learning_rate": 5.140863451017318e-05,
1726
+ "loss": 3.4457,
1727
+ "step": 837
1728
+ },
1729
+ {
1730
+ "epoch": 5.95,
1731
+ "learning_rate": 5.0417648881348774e-05,
1732
+ "loss": 3.4159,
1733
+ "step": 840
1734
+ },
1735
+ {
1736
+ "epoch": 5.97,
1737
+ "learning_rate": 4.943437482396336e-05,
1738
+ "loss": 3.3632,
1739
+ "step": 843
1740
+ },
1741
+ {
1742
+ "epoch": 5.99,
1743
+ "learning_rate": 4.845888848191248e-05,
1744
+ "loss": 3.4493,
1745
+ "step": 846
1746
+ },
1747
+ {
1748
+ "epoch": 5.99,
1749
+ "eval_accuracy": 0.4745788157886148,
1750
+ "eval_loss": 3.1028223037719727,
1751
+ "eval_runtime": 7.1484,
1752
+ "eval_samples_per_second": 282.16,
1753
+ "eval_steps_per_second": 141.15,
1754
+ "step": 846
1755
+ },
1756
+ {
1757
+ "epoch": 6.02,
1758
+ "learning_rate": 4.74912653960177e-05,
1759
+ "loss": 4.272,
1760
+ "step": 849
1761
+ },
1762
+ {
1763
+ "epoch": 6.04,
1764
+ "learning_rate": 4.65315804981768e-05,
1765
+ "loss": 3.4332,
1766
+ "step": 852
1767
+ },
1768
+ {
1769
+ "epoch": 6.06,
1770
+ "learning_rate": 4.5579908105561016e-05,
1771
+ "loss": 3.3962,
1772
+ "step": 855
1773
+ },
1774
+ {
1775
+ "epoch": 6.08,
1776
+ "learning_rate": 4.463632191486022e-05,
1777
+ "loss": 3.3835,
1778
+ "step": 858
1779
+ },
1780
+ {
1781
+ "epoch": 6.11,
1782
+ "learning_rate": 4.3700894996575764e-05,
1783
+ "loss": 3.3852,
1784
+ "step": 861
1785
+ },
1786
+ {
1787
+ "epoch": 6.13,
1788
+ "learning_rate": 4.277369978936187e-05,
1789
+ "loss": 3.4379,
1790
+ "step": 864
1791
+ },
1792
+ {
1793
+ "epoch": 6.15,
1794
+ "learning_rate": 4.185480809441631e-05,
1795
+ "loss": 3.4083,
1796
+ "step": 867
1797
+ },
1798
+ {
1799
+ "epoch": 6.17,
1800
+ "learning_rate": 4.094429106991981e-05,
1801
+ "loss": 3.447,
1802
+ "step": 870
1803
+ },
1804
+ {
1805
+ "epoch": 6.19,
1806
+ "learning_rate": 4.004221922552608e-05,
1807
+ "loss": 3.3643,
1808
+ "step": 873
1809
+ },
1810
+ {
1811
+ "epoch": 6.21,
1812
+ "learning_rate": 3.914866241690115e-05,
1813
+ "loss": 3.4416,
1814
+ "step": 876
1815
+ },
1816
+ {
1817
+ "epoch": 6.23,
1818
+ "learning_rate": 3.826368984031414e-05,
1819
+ "loss": 3.4144,
1820
+ "step": 879
1821
+ },
1822
+ {
1823
+ "epoch": 6.25,
1824
+ "learning_rate": 3.738737002727863e-05,
1825
+ "loss": 3.3951,
1826
+ "step": 882
1827
+ },
1828
+ {
1829
+ "epoch": 6.28,
1830
+ "learning_rate": 3.651977083924563e-05,
1831
+ "loss": 3.39,
1832
+ "step": 885
1833
+ },
1834
+ {
1835
+ "epoch": 6.3,
1836
+ "learning_rate": 3.566095946234842e-05,
1837
+ "loss": 3.4053,
1838
+ "step": 888
1839
+ },
1840
+ {
1841
+ "epoch": 6.32,
1842
+ "learning_rate": 3.4811002402199874e-05,
1843
+ "loss": 3.4033,
1844
+ "step": 891
1845
+ },
1846
+ {
1847
+ "epoch": 6.34,
1848
+ "learning_rate": 3.396996547874203e-05,
1849
+ "loss": 3.2884,
1850
+ "step": 894
1851
+ },
1852
+ {
1853
+ "epoch": 6.36,
1854
+ "learning_rate": 3.3137913821149425e-05,
1855
+ "loss": 3.415,
1856
+ "step": 897
1857
+ },
1858
+ {
1859
+ "epoch": 6.38,
1860
+ "learning_rate": 3.2314911862785275e-05,
1861
+ "loss": 3.3832,
1862
+ "step": 900
1863
+ },
1864
+ {
1865
+ "epoch": 6.4,
1866
+ "learning_rate": 3.150102333621181e-05,
1867
+ "loss": 3.3488,
1868
+ "step": 903
1869
+ },
1870
+ {
1871
+ "epoch": 6.42,
1872
+ "learning_rate": 3.0696311268255093e-05,
1873
+ "loss": 3.3449,
1874
+ "step": 906
1875
+ },
1876
+ {
1877
+ "epoch": 6.44,
1878
+ "learning_rate": 2.990083797512401e-05,
1879
+ "loss": 3.3563,
1880
+ "step": 909
1881
+ },
1882
+ {
1883
+ "epoch": 6.47,
1884
+ "learning_rate": 2.9114665057584768e-05,
1885
+ "loss": 3.4071,
1886
+ "step": 912
1887
+ },
1888
+ {
1889
+ "epoch": 6.49,
1890
+ "learning_rate": 2.8337853396190503e-05,
1891
+ "loss": 3.456,
1892
+ "step": 915
1893
+ },
1894
+ {
1895
+ "epoch": 6.51,
1896
+ "learning_rate": 2.7570463146566758e-05,
1897
+ "loss": 3.4042,
1898
+ "step": 918
1899
+ },
1900
+ {
1901
+ "epoch": 6.53,
1902
+ "learning_rate": 2.6812553734752956e-05,
1903
+ "loss": 3.375,
1904
+ "step": 921
1905
+ },
1906
+ {
1907
+ "epoch": 6.55,
1908
+ "learning_rate": 2.6064183852600797e-05,
1909
+ "loss": 3.3807,
1910
+ "step": 924
1911
+ },
1912
+ {
1913
+ "epoch": 6.57,
1914
+ "learning_rate": 2.532541145322881e-05,
1915
+ "loss": 3.3436,
1916
+ "step": 927
1917
+ },
1918
+ {
1919
+ "epoch": 6.59,
1920
+ "learning_rate": 2.4596293746534905e-05,
1921
+ "loss": 3.2923,
1922
+ "step": 930
1923
+ },
1924
+ {
1925
+ "epoch": 6.61,
1926
+ "learning_rate": 2.3876887194765874e-05,
1927
+ "loss": 3.4021,
1928
+ "step": 933
1929
+ },
1930
+ {
1931
+ "epoch": 6.63,
1932
+ "learning_rate": 2.3167247508144954e-05,
1933
+ "loss": 3.3814,
1934
+ "step": 936
1935
+ },
1936
+ {
1937
+ "epoch": 6.66,
1938
+ "learning_rate": 2.24674296405579e-05,
1939
+ "loss": 3.4269,
1940
+ "step": 939
1941
+ },
1942
+ {
1943
+ "epoch": 6.68,
1944
+ "learning_rate": 2.1777487785297114e-05,
1945
+ "loss": 3.3474,
1946
+ "step": 942
1947
+ },
1948
+ {
1949
+ "epoch": 6.7,
1950
+ "learning_rate": 2.1097475370865242e-05,
1951
+ "loss": 3.4056,
1952
+ "step": 945
1953
+ },
1954
+ {
1955
+ "epoch": 6.72,
1956
+ "learning_rate": 2.0427445056837544e-05,
1957
+ "loss": 3.4254,
1958
+ "step": 948
1959
+ },
1960
+ {
1961
+ "epoch": 6.74,
1962
+ "learning_rate": 1.9767448729784046e-05,
1963
+ "loss": 3.3823,
1964
+ "step": 951
1965
+ },
1966
+ {
1967
+ "epoch": 6.76,
1968
+ "learning_rate": 1.9117537499251413e-05,
1969
+ "loss": 3.3903,
1970
+ "step": 954
1971
+ },
1972
+ {
1973
+ "epoch": 6.78,
1974
+ "learning_rate": 1.8477761693805203e-05,
1975
+ "loss": 3.3717,
1976
+ "step": 957
1977
+ },
1978
+ {
1979
+ "epoch": 6.8,
1980
+ "learning_rate": 1.7848170857132325e-05,
1981
+ "loss": 3.3791,
1982
+ "step": 960
1983
+ },
1984
+ {
1985
+ "epoch": 6.83,
1986
+ "learning_rate": 1.7228813744204556e-05,
1987
+ "loss": 3.3805,
1988
+ "step": 963
1989
+ },
1990
+ {
1991
+ "epoch": 6.85,
1992
+ "learning_rate": 1.661973831750283e-05,
1993
+ "loss": 3.3905,
1994
+ "step": 966
1995
+ },
1996
+ {
1997
+ "epoch": 6.87,
1998
+ "learning_rate": 1.6020991743303263e-05,
1999
+ "loss": 3.4504,
2000
+ "step": 969
2001
+ },
2002
+ {
2003
+ "epoch": 6.89,
2004
+ "learning_rate": 1.5432620388024512e-05,
2005
+ "loss": 3.3748,
2006
+ "step": 972
2007
+ },
2008
+ {
2009
+ "epoch": 6.91,
2010
+ "learning_rate": 1.4854669814637143e-05,
2011
+ "loss": 3.4381,
2012
+ "step": 975
2013
+ },
2014
+ {
2015
+ "epoch": 6.93,
2016
+ "learning_rate": 1.428718477913543e-05,
2017
+ "loss": 3.3435,
2018
+ "step": 978
2019
+ },
2020
+ {
2021
+ "epoch": 6.95,
2022
+ "learning_rate": 1.3730209227071436e-05,
2023
+ "loss": 3.3974,
2024
+ "step": 981
2025
+ },
2026
+ {
2027
+ "epoch": 6.97,
2028
+ "learning_rate": 1.3183786290151838e-05,
2029
+ "loss": 3.3399,
2030
+ "step": 984
2031
+ },
2032
+ {
2033
+ "epoch": 6.99,
2034
+ "learning_rate": 1.264795828289787e-05,
2035
+ "loss": 3.4199,
2036
+ "step": 987
2037
+ },
2038
+ {
2039
+ "epoch": 6.99,
2040
+ "eval_accuracy": 0.47660093674971465,
2041
+ "eval_loss": 3.0857138633728027,
2042
+ "eval_runtime": 7.115,
2043
+ "eval_samples_per_second": 283.486,
2044
+ "eval_steps_per_second": 141.813,
2045
+ "step": 987
2046
+ },
2047
+ {
2048
+ "epoch": 7.02,
2049
+ "learning_rate": 1.2122766699368603e-05,
2050
+ "loss": 4.2135,
2051
+ "step": 990
2052
+ },
2053
+ {
2054
+ "epoch": 7.04,
2055
+ "learning_rate": 1.1608252209947566e-05,
2056
+ "loss": 3.4164,
2057
+ "step": 993
2058
+ },
2059
+ {
2060
+ "epoch": 7.06,
2061
+ "learning_rate": 1.1104454658193395e-05,
2062
+ "loss": 3.4037,
2063
+ "step": 996
2064
+ },
2065
+ {
2066
+ "epoch": 7.08,
2067
+ "learning_rate": 1.061141305775422e-05,
2068
+ "loss": 3.3729,
2069
+ "step": 999
2070
+ },
2071
+ {
2072
+ "epoch": 7.11,
2073
+ "learning_rate": 1.0129165589346643e-05,
2074
+ "loss": 3.4295,
2075
+ "step": 1002
2076
+ },
2077
+ {
2078
+ "epoch": 7.13,
2079
+ "learning_rate": 9.657749597798947e-06,
2080
+ "loss": 3.4044,
2081
+ "step": 1005
2082
+ },
2083
+ {
2084
+ "epoch": 7.15,
2085
+ "learning_rate": 9.197201589159215e-06,
2086
+ "loss": 3.4028,
2087
+ "step": 1008
2088
+ },
2089
+ {
2090
+ "epoch": 7.17,
2091
+ "learning_rate": 8.747557227868263e-06,
2092
+ "loss": 3.3725,
2093
+ "step": 1011
2094
+ },
2095
+ {
2096
+ "epoch": 7.19,
2097
+ "learning_rate": 8.308851333997917e-06,
2098
+ "loss": 3.33,
2099
+ "step": 1014
2100
+ },
2101
+ {
2102
+ "epoch": 7.21,
2103
+ "learning_rate": 7.881117880554421e-06,
2104
+ "loss": 3.4139,
2105
+ "step": 1017
2106
+ },
2107
+ {
2108
+ "epoch": 7.23,
2109
+ "learning_rate": 7.4643899908477525e-06,
2110
+ "loss": 3.4329,
2111
+ "step": 1020
2112
+ },
2113
+ {
2114
+ "epoch": 7.25,
2115
+ "learning_rate": 7.058699935926526e-06,
2116
+ "loss": 3.3783,
2117
+ "step": 1023
2118
+ },
2119
+ {
2120
+ "epoch": 7.28,
2121
+ "learning_rate": 6.664079132078881e-06,
2122
+ "loss": 3.3888,
2123
+ "step": 1026
2124
+ },
2125
+ {
2126
+ "epoch": 7.3,
2127
+ "learning_rate": 6.280558138399805e-06,
2128
+ "loss": 3.3738,
2129
+ "step": 1029
2130
+ },
2131
+ {
2132
+ "epoch": 7.32,
2133
+ "learning_rate": 5.908166654424412e-06,
2134
+ "loss": 3.3097,
2135
+ "step": 1032
2136
+ },
2137
+ {
2138
+ "epoch": 7.34,
2139
+ "learning_rate": 5.546933517828317e-06,
2140
+ "loss": 3.4202,
2141
+ "step": 1035
2142
+ },
2143
+ {
2144
+ "epoch": 7.36,
2145
+ "learning_rate": 5.196886702194203e-06,
2146
+ "loss": 3.3502,
2147
+ "step": 1038
2148
+ },
2149
+ {
2150
+ "epoch": 7.38,
2151
+ "learning_rate": 4.8580533148458225e-06,
2152
+ "loss": 3.3874,
2153
+ "step": 1041
2154
+ },
2155
+ {
2156
+ "epoch": 7.4,
2157
+ "learning_rate": 4.530459594748592e-06,
2158
+ "loss": 3.3369,
2159
+ "step": 1044
2160
+ },
2161
+ {
2162
+ "epoch": 7.42,
2163
+ "learning_rate": 4.214130910477853e-06,
2164
+ "loss": 3.3929,
2165
+ "step": 1047
2166
+ },
2167
+ {
2168
+ "epoch": 7.44,
2169
+ "learning_rate": 3.90909175825429e-06,
2170
+ "loss": 3.362,
2171
+ "step": 1050
2172
+ },
2173
+ {
2174
+ "epoch": 7.47,
2175
+ "learning_rate": 3.6153657600469176e-06,
2176
+ "loss": 3.3281,
2177
+ "step": 1053
2178
+ },
2179
+ {
2180
+ "epoch": 7.49,
2181
+ "learning_rate": 3.3329756617438917e-06,
2182
+ "loss": 3.352,
2183
+ "step": 1056
2184
+ },
2185
+ {
2186
+ "epoch": 7.51,
2187
+ "learning_rate": 3.06194333139097e-06,
2188
+ "loss": 3.3818,
2189
+ "step": 1059
2190
+ },
2191
+ {
2192
+ "epoch": 7.53,
2193
+ "learning_rate": 2.8022897574982826e-06,
2194
+ "loss": 3.4417,
2195
+ "step": 1062
2196
+ },
2197
+ {
2198
+ "epoch": 7.55,
2199
+ "learning_rate": 2.554035047414732e-06,
2200
+ "loss": 3.3567,
2201
+ "step": 1065
2202
+ },
2203
+ {
2204
+ "epoch": 7.57,
2205
+ "learning_rate": 2.3171984257711385e-06,
2206
+ "loss": 3.4005,
2207
+ "step": 1068
2208
+ },
2209
+ {
2210
+ "epoch": 7.59,
2211
+ "learning_rate": 2.0917982329912987e-06,
2212
+ "loss": 3.3674,
2213
+ "step": 1071
2214
+ },
2215
+ {
2216
+ "epoch": 7.61,
2217
+ "learning_rate": 1.8778519238719203e-06,
2218
+ "loss": 3.3507,
2219
+ "step": 1074
2220
+ },
2221
+ {
2222
+ "epoch": 7.63,
2223
+ "learning_rate": 1.6753760662307215e-06,
2224
+ "loss": 3.3754,
2225
+ "step": 1077
2226
+ },
2227
+ {
2228
+ "epoch": 7.66,
2229
+ "learning_rate": 1.4843863396236388e-06,
2230
+ "loss": 3.4043,
2231
+ "step": 1080
2232
+ },
2233
+ {
2234
+ "epoch": 7.68,
2235
+ "learning_rate": 1.3048975341304835e-06,
2236
+ "loss": 3.4084,
2237
+ "step": 1083
2238
+ },
2239
+ {
2240
+ "epoch": 7.7,
2241
+ "learning_rate": 1.1369235492096397e-06,
2242
+ "loss": 3.4293,
2243
+ "step": 1086
2244
+ },
2245
+ {
2246
+ "epoch": 7.72,
2247
+ "learning_rate": 9.804773926217092e-07,
2248
+ "loss": 3.4001,
2249
+ "step": 1089
2250
+ },
2251
+ {
2252
+ "epoch": 7.74,
2253
+ "learning_rate": 8.355711794222342e-07,
2254
+ "loss": 3.3856,
2255
+ "step": 1092
2256
+ },
2257
+ {
2258
+ "epoch": 7.76,
2259
+ "learning_rate": 7.022161310234642e-07,
2260
+ "loss": 3.3659,
2261
+ "step": 1095
2262
+ },
2263
+ {
2264
+ "epoch": 7.78,
2265
+ "learning_rate": 5.80422574325401e-07,
2266
+ "loss": 3.3653,
2267
+ "step": 1098
2268
+ },
2269
+ {
2270
+ "epoch": 7.8,
2271
+ "learning_rate": 4.70199940916105e-07,
2272
+ "loss": 3.437,
2273
+ "step": 1101
2274
+ },
2275
+ {
2276
+ "epoch": 7.83,
2277
+ "learning_rate": 3.715567663412966e-07,
2278
+ "loss": 3.382,
2279
+ "step": 1104
2280
+ },
2281
+ {
2282
+ "epoch": 7.85,
2283
+ "learning_rate": 2.845006894433843e-07,
2284
+ "loss": 3.3835,
2285
+ "step": 1107
2286
+ },
2287
+ {
2288
+ "epoch": 7.87,
2289
+ "learning_rate": 2.0903845176995503e-07,
2290
+ "loss": 3.3901,
2291
+ "step": 1110
2292
+ },
2293
+ {
2294
+ "epoch": 7.89,
2295
+ "learning_rate": 1.4517589705164145e-07,
2296
+ "loss": 3.3445,
2297
+ "step": 1113
2298
+ },
2299
+ {
2300
+ "epoch": 7.91,
2301
+ "learning_rate": 9.291797074961748e-08,
2302
+ "loss": 3.4404,
2303
+ "step": 1116
2304
+ },
2305
+ {
2306
+ "epoch": 7.93,
2307
+ "learning_rate": 5.226871967267121e-08,
2308
+ "loss": 3.404,
2309
+ "step": 1119
2310
+ },
2311
+ {
2312
+ "epoch": 7.95,
2313
+ "learning_rate": 2.3231291663772245e-08,
2314
+ "loss": 3.3689,
2315
+ "step": 1122
2316
+ },
2317
+ {
2318
+ "epoch": 7.97,
2319
+ "learning_rate": 5.80793535631674e-09,
2320
+ "loss": 3.3911,
2321
+ "step": 1125
2322
+ },
2323
+ {
2324
+ "epoch": 7.99,
2325
+ "learning_rate": 0.0,
2326
+ "loss": 3.4086,
2327
+ "step": 1128
2328
+ },
2329
+ {
2330
+ "epoch": 7.99,
2331
+ "eval_accuracy": 0.47283051057151976,
2332
+ "eval_loss": 3.0980591773986816,
2333
+ "eval_runtime": 7.1137,
2334
+ "eval_samples_per_second": 283.538,
2335
+ "eval_steps_per_second": 141.839,
2336
+ "step": 1128
2337
+ },
2338
+ {
2339
+ "epoch": 7.99,
2340
+ "step": 1128,
2341
+ "total_flos": 197844098719744.0,
2342
+ "train_loss": 3.6050218030916037,
2343
+ "train_runtime": 557.9113,
2344
+ "train_samples_per_second": 260.099,
2345
+ "train_steps_per_second": 2.022
2346
+ }
2347
+ ],
2348
+ "max_steps": 1128,
2349
+ "num_train_epochs": 8,
2350
+ "total_flos": 197844098719744.0,
2351
+ "trial_name": null,
2352
+ "trial_params": null
2353
+ }