ausboss commited on
Commit
2fb824a
1 Parent(s): a40cd54

Upload trainer_state.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. trainer_state.json +2576 -0
trainer_state.json ADDED
@@ -0,0 +1,2576 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.1695906432748537,
5
+ "global_step": 400,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 0.0002,
13
+ "loss": 0.7121,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 0.0002,
19
+ "loss": 0.645,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.01,
24
+ "learning_rate": 0.0002,
25
+ "loss": 0.6852,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 0.0002,
31
+ "loss": 0.689,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 0.0002,
37
+ "loss": 0.7223,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.02,
42
+ "learning_rate": 0.0002,
43
+ "loss": 0.7359,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.02,
48
+ "learning_rate": 0.0002,
49
+ "loss": 0.677,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.02,
54
+ "learning_rate": 0.0002,
55
+ "loss": 0.6888,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.03,
60
+ "learning_rate": 0.0002,
61
+ "loss": 0.7475,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.03,
66
+ "learning_rate": 0.0002,
67
+ "loss": 0.6675,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.03,
72
+ "learning_rate": 0.0002,
73
+ "loss": 0.6665,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.04,
78
+ "learning_rate": 0.0002,
79
+ "loss": 0.6803,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.04,
84
+ "learning_rate": 0.0002,
85
+ "loss": 0.7004,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.04,
90
+ "learning_rate": 0.0002,
91
+ "loss": 0.7052,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.04,
96
+ "learning_rate": 0.0002,
97
+ "loss": 0.6975,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.05,
102
+ "learning_rate": 0.0002,
103
+ "loss": 0.6186,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.05,
108
+ "learning_rate": 0.0002,
109
+ "loss": 0.6533,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.05,
114
+ "learning_rate": 0.0002,
115
+ "loss": 0.7183,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.06,
120
+ "learning_rate": 0.0002,
121
+ "loss": 0.6477,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.06,
126
+ "learning_rate": 0.0002,
127
+ "loss": 0.6753,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.06,
132
+ "eval_loss": 0.7119563221931458,
133
+ "eval_runtime": 61.7384,
134
+ "eval_samples_per_second": 0.454,
135
+ "eval_steps_per_second": 0.227,
136
+ "step": 20
137
+ },
138
+ {
139
+ "epoch": 0.06,
140
+ "learning_rate": 0.0002,
141
+ "loss": 0.638,
142
+ "step": 21
143
+ },
144
+ {
145
+ "epoch": 0.06,
146
+ "learning_rate": 0.0002,
147
+ "loss": 0.6424,
148
+ "step": 22
149
+ },
150
+ {
151
+ "epoch": 0.07,
152
+ "learning_rate": 0.0002,
153
+ "loss": 0.7058,
154
+ "step": 23
155
+ },
156
+ {
157
+ "epoch": 0.07,
158
+ "learning_rate": 0.0002,
159
+ "loss": 0.65,
160
+ "step": 24
161
+ },
162
+ {
163
+ "epoch": 0.07,
164
+ "learning_rate": 0.0002,
165
+ "loss": 0.6469,
166
+ "step": 25
167
+ },
168
+ {
169
+ "epoch": 0.08,
170
+ "learning_rate": 0.0002,
171
+ "loss": 0.6803,
172
+ "step": 26
173
+ },
174
+ {
175
+ "epoch": 0.08,
176
+ "learning_rate": 0.0002,
177
+ "loss": 0.7178,
178
+ "step": 27
179
+ },
180
+ {
181
+ "epoch": 0.08,
182
+ "learning_rate": 0.0002,
183
+ "loss": 0.6187,
184
+ "step": 28
185
+ },
186
+ {
187
+ "epoch": 0.08,
188
+ "learning_rate": 0.0002,
189
+ "loss": 0.6321,
190
+ "step": 29
191
+ },
192
+ {
193
+ "epoch": 0.09,
194
+ "learning_rate": 0.0002,
195
+ "loss": 0.6292,
196
+ "step": 30
197
+ },
198
+ {
199
+ "epoch": 0.09,
200
+ "learning_rate": 0.0002,
201
+ "loss": 0.7176,
202
+ "step": 31
203
+ },
204
+ {
205
+ "epoch": 0.09,
206
+ "learning_rate": 0.0002,
207
+ "loss": 0.6792,
208
+ "step": 32
209
+ },
210
+ {
211
+ "epoch": 0.1,
212
+ "learning_rate": 0.0002,
213
+ "loss": 0.6233,
214
+ "step": 33
215
+ },
216
+ {
217
+ "epoch": 0.1,
218
+ "learning_rate": 0.0002,
219
+ "loss": 0.7009,
220
+ "step": 34
221
+ },
222
+ {
223
+ "epoch": 0.1,
224
+ "learning_rate": 0.0002,
225
+ "loss": 0.6672,
226
+ "step": 35
227
+ },
228
+ {
229
+ "epoch": 0.11,
230
+ "learning_rate": 0.0002,
231
+ "loss": 0.6915,
232
+ "step": 36
233
+ },
234
+ {
235
+ "epoch": 0.11,
236
+ "learning_rate": 0.0002,
237
+ "loss": 0.657,
238
+ "step": 37
239
+ },
240
+ {
241
+ "epoch": 0.11,
242
+ "learning_rate": 0.0002,
243
+ "loss": 0.6408,
244
+ "step": 38
245
+ },
246
+ {
247
+ "epoch": 0.11,
248
+ "learning_rate": 0.0002,
249
+ "loss": 0.6499,
250
+ "step": 39
251
+ },
252
+ {
253
+ "epoch": 0.12,
254
+ "learning_rate": 0.0002,
255
+ "loss": 0.6177,
256
+ "step": 40
257
+ },
258
+ {
259
+ "epoch": 0.12,
260
+ "eval_loss": 0.713217556476593,
261
+ "eval_runtime": 61.6956,
262
+ "eval_samples_per_second": 0.454,
263
+ "eval_steps_per_second": 0.227,
264
+ "step": 40
265
+ },
266
+ {
267
+ "epoch": 0.12,
268
+ "learning_rate": 0.0002,
269
+ "loss": 0.6803,
270
+ "step": 41
271
+ },
272
+ {
273
+ "epoch": 0.12,
274
+ "learning_rate": 0.0002,
275
+ "loss": 0.6825,
276
+ "step": 42
277
+ },
278
+ {
279
+ "epoch": 0.13,
280
+ "learning_rate": 0.0002,
281
+ "loss": 0.6566,
282
+ "step": 43
283
+ },
284
+ {
285
+ "epoch": 0.13,
286
+ "learning_rate": 0.0002,
287
+ "loss": 0.5804,
288
+ "step": 44
289
+ },
290
+ {
291
+ "epoch": 0.13,
292
+ "learning_rate": 0.0002,
293
+ "loss": 0.6501,
294
+ "step": 45
295
+ },
296
+ {
297
+ "epoch": 0.13,
298
+ "learning_rate": 0.0002,
299
+ "loss": 0.6467,
300
+ "step": 46
301
+ },
302
+ {
303
+ "epoch": 0.14,
304
+ "learning_rate": 0.0002,
305
+ "loss": 0.6288,
306
+ "step": 47
307
+ },
308
+ {
309
+ "epoch": 0.14,
310
+ "learning_rate": 0.0002,
311
+ "loss": 0.6505,
312
+ "step": 48
313
+ },
314
+ {
315
+ "epoch": 0.14,
316
+ "learning_rate": 0.0002,
317
+ "loss": 0.6884,
318
+ "step": 49
319
+ },
320
+ {
321
+ "epoch": 0.15,
322
+ "learning_rate": 0.0002,
323
+ "loss": 0.6187,
324
+ "step": 50
325
+ },
326
+ {
327
+ "epoch": 0.15,
328
+ "learning_rate": 0.0002,
329
+ "loss": 0.698,
330
+ "step": 51
331
+ },
332
+ {
333
+ "epoch": 0.15,
334
+ "learning_rate": 0.0002,
335
+ "loss": 0.6788,
336
+ "step": 52
337
+ },
338
+ {
339
+ "epoch": 0.15,
340
+ "learning_rate": 0.0002,
341
+ "loss": 0.6813,
342
+ "step": 53
343
+ },
344
+ {
345
+ "epoch": 0.16,
346
+ "learning_rate": 0.0002,
347
+ "loss": 0.7177,
348
+ "step": 54
349
+ },
350
+ {
351
+ "epoch": 0.16,
352
+ "learning_rate": 0.0002,
353
+ "loss": 0.6416,
354
+ "step": 55
355
+ },
356
+ {
357
+ "epoch": 0.16,
358
+ "learning_rate": 0.0002,
359
+ "loss": 0.7039,
360
+ "step": 56
361
+ },
362
+ {
363
+ "epoch": 0.17,
364
+ "learning_rate": 0.0002,
365
+ "loss": 0.6749,
366
+ "step": 57
367
+ },
368
+ {
369
+ "epoch": 0.17,
370
+ "learning_rate": 0.0002,
371
+ "loss": 0.6716,
372
+ "step": 58
373
+ },
374
+ {
375
+ "epoch": 0.17,
376
+ "learning_rate": 0.0002,
377
+ "loss": 0.6554,
378
+ "step": 59
379
+ },
380
+ {
381
+ "epoch": 0.18,
382
+ "learning_rate": 0.0002,
383
+ "loss": 0.7074,
384
+ "step": 60
385
+ },
386
+ {
387
+ "epoch": 0.18,
388
+ "eval_loss": 0.713684618473053,
389
+ "eval_runtime": 61.7163,
390
+ "eval_samples_per_second": 0.454,
391
+ "eval_steps_per_second": 0.227,
392
+ "step": 60
393
+ },
394
+ {
395
+ "epoch": 0.18,
396
+ "learning_rate": 0.0002,
397
+ "loss": 0.6745,
398
+ "step": 61
399
+ },
400
+ {
401
+ "epoch": 0.18,
402
+ "learning_rate": 0.0002,
403
+ "loss": 0.6201,
404
+ "step": 62
405
+ },
406
+ {
407
+ "epoch": 0.18,
408
+ "learning_rate": 0.0002,
409
+ "loss": 0.6556,
410
+ "step": 63
411
+ },
412
+ {
413
+ "epoch": 0.19,
414
+ "learning_rate": 0.0002,
415
+ "loss": 0.6458,
416
+ "step": 64
417
+ },
418
+ {
419
+ "epoch": 0.19,
420
+ "learning_rate": 0.0002,
421
+ "loss": 0.6129,
422
+ "step": 65
423
+ },
424
+ {
425
+ "epoch": 0.19,
426
+ "learning_rate": 0.0002,
427
+ "loss": 0.6337,
428
+ "step": 66
429
+ },
430
+ {
431
+ "epoch": 0.2,
432
+ "learning_rate": 0.0002,
433
+ "loss": 0.6341,
434
+ "step": 67
435
+ },
436
+ {
437
+ "epoch": 0.2,
438
+ "learning_rate": 0.0002,
439
+ "loss": 0.6955,
440
+ "step": 68
441
+ },
442
+ {
443
+ "epoch": 0.2,
444
+ "learning_rate": 0.0002,
445
+ "loss": 0.6538,
446
+ "step": 69
447
+ },
448
+ {
449
+ "epoch": 0.2,
450
+ "learning_rate": 0.0002,
451
+ "loss": 0.6962,
452
+ "step": 70
453
+ },
454
+ {
455
+ "epoch": 0.21,
456
+ "learning_rate": 0.0002,
457
+ "loss": 0.6408,
458
+ "step": 71
459
+ },
460
+ {
461
+ "epoch": 0.21,
462
+ "learning_rate": 0.0002,
463
+ "loss": 0.6327,
464
+ "step": 72
465
+ },
466
+ {
467
+ "epoch": 0.21,
468
+ "learning_rate": 0.0002,
469
+ "loss": 0.6487,
470
+ "step": 73
471
+ },
472
+ {
473
+ "epoch": 0.22,
474
+ "learning_rate": 0.0002,
475
+ "loss": 0.6332,
476
+ "step": 74
477
+ },
478
+ {
479
+ "epoch": 0.22,
480
+ "learning_rate": 0.0002,
481
+ "loss": 0.6712,
482
+ "step": 75
483
+ },
484
+ {
485
+ "epoch": 0.22,
486
+ "learning_rate": 0.0002,
487
+ "loss": 0.6065,
488
+ "step": 76
489
+ },
490
+ {
491
+ "epoch": 0.23,
492
+ "learning_rate": 0.0002,
493
+ "loss": 0.6752,
494
+ "step": 77
495
+ },
496
+ {
497
+ "epoch": 0.23,
498
+ "learning_rate": 0.0002,
499
+ "loss": 0.6965,
500
+ "step": 78
501
+ },
502
+ {
503
+ "epoch": 0.23,
504
+ "learning_rate": 0.0002,
505
+ "loss": 0.6306,
506
+ "step": 79
507
+ },
508
+ {
509
+ "epoch": 0.23,
510
+ "learning_rate": 0.0002,
511
+ "loss": 0.6789,
512
+ "step": 80
513
+ },
514
+ {
515
+ "epoch": 0.23,
516
+ "eval_loss": 0.7147287726402283,
517
+ "eval_runtime": 61.6954,
518
+ "eval_samples_per_second": 0.454,
519
+ "eval_steps_per_second": 0.227,
520
+ "step": 80
521
+ },
522
+ {
523
+ "epoch": 0.24,
524
+ "learning_rate": 0.0002,
525
+ "loss": 0.7026,
526
+ "step": 81
527
+ },
528
+ {
529
+ "epoch": 0.24,
530
+ "learning_rate": 0.0002,
531
+ "loss": 0.6344,
532
+ "step": 82
533
+ },
534
+ {
535
+ "epoch": 0.24,
536
+ "learning_rate": 0.0002,
537
+ "loss": 0.6562,
538
+ "step": 83
539
+ },
540
+ {
541
+ "epoch": 0.25,
542
+ "learning_rate": 0.0002,
543
+ "loss": 0.6402,
544
+ "step": 84
545
+ },
546
+ {
547
+ "epoch": 0.25,
548
+ "learning_rate": 0.0002,
549
+ "loss": 0.6101,
550
+ "step": 85
551
+ },
552
+ {
553
+ "epoch": 0.25,
554
+ "learning_rate": 0.0002,
555
+ "loss": 0.684,
556
+ "step": 86
557
+ },
558
+ {
559
+ "epoch": 0.25,
560
+ "learning_rate": 0.0002,
561
+ "loss": 0.7078,
562
+ "step": 87
563
+ },
564
+ {
565
+ "epoch": 0.26,
566
+ "learning_rate": 0.0002,
567
+ "loss": 0.6185,
568
+ "step": 88
569
+ },
570
+ {
571
+ "epoch": 0.26,
572
+ "learning_rate": 0.0002,
573
+ "loss": 0.6444,
574
+ "step": 89
575
+ },
576
+ {
577
+ "epoch": 0.26,
578
+ "learning_rate": 0.0002,
579
+ "loss": 0.6633,
580
+ "step": 90
581
+ },
582
+ {
583
+ "epoch": 0.27,
584
+ "learning_rate": 0.0002,
585
+ "loss": 0.64,
586
+ "step": 91
587
+ },
588
+ {
589
+ "epoch": 0.27,
590
+ "learning_rate": 0.0002,
591
+ "loss": 0.6478,
592
+ "step": 92
593
+ },
594
+ {
595
+ "epoch": 0.27,
596
+ "learning_rate": 0.0002,
597
+ "loss": 0.6391,
598
+ "step": 93
599
+ },
600
+ {
601
+ "epoch": 0.27,
602
+ "learning_rate": 0.0002,
603
+ "loss": 0.6615,
604
+ "step": 94
605
+ },
606
+ {
607
+ "epoch": 0.28,
608
+ "learning_rate": 0.0002,
609
+ "loss": 0.6087,
610
+ "step": 95
611
+ },
612
+ {
613
+ "epoch": 0.28,
614
+ "learning_rate": 0.0002,
615
+ "loss": 0.5813,
616
+ "step": 96
617
+ },
618
+ {
619
+ "epoch": 0.28,
620
+ "learning_rate": 0.0002,
621
+ "loss": 0.6382,
622
+ "step": 97
623
+ },
624
+ {
625
+ "epoch": 0.29,
626
+ "learning_rate": 0.0002,
627
+ "loss": 0.6592,
628
+ "step": 98
629
+ },
630
+ {
631
+ "epoch": 0.29,
632
+ "learning_rate": 0.0002,
633
+ "loss": 0.6993,
634
+ "step": 99
635
+ },
636
+ {
637
+ "epoch": 0.29,
638
+ "learning_rate": 0.0002,
639
+ "loss": 0.6365,
640
+ "step": 100
641
+ },
642
+ {
643
+ "epoch": 0.29,
644
+ "eval_loss": 0.7158837914466858,
645
+ "eval_runtime": 61.6652,
646
+ "eval_samples_per_second": 0.454,
647
+ "eval_steps_per_second": 0.227,
648
+ "step": 100
649
+ },
650
+ {
651
+ "epoch": 0.3,
652
+ "learning_rate": 0.0002,
653
+ "loss": 0.6701,
654
+ "step": 101
655
+ },
656
+ {
657
+ "epoch": 0.3,
658
+ "learning_rate": 0.0002,
659
+ "loss": 0.6548,
660
+ "step": 102
661
+ },
662
+ {
663
+ "epoch": 0.3,
664
+ "learning_rate": 0.0002,
665
+ "loss": 0.6537,
666
+ "step": 103
667
+ },
668
+ {
669
+ "epoch": 0.3,
670
+ "learning_rate": 0.0002,
671
+ "loss": 0.6245,
672
+ "step": 104
673
+ },
674
+ {
675
+ "epoch": 0.31,
676
+ "learning_rate": 0.0002,
677
+ "loss": 0.689,
678
+ "step": 105
679
+ },
680
+ {
681
+ "epoch": 0.31,
682
+ "learning_rate": 0.0002,
683
+ "loss": 0.6237,
684
+ "step": 106
685
+ },
686
+ {
687
+ "epoch": 0.31,
688
+ "learning_rate": 0.0002,
689
+ "loss": 0.6209,
690
+ "step": 107
691
+ },
692
+ {
693
+ "epoch": 0.32,
694
+ "learning_rate": 0.0002,
695
+ "loss": 0.6833,
696
+ "step": 108
697
+ },
698
+ {
699
+ "epoch": 0.32,
700
+ "learning_rate": 0.0002,
701
+ "loss": 0.7169,
702
+ "step": 109
703
+ },
704
+ {
705
+ "epoch": 0.32,
706
+ "learning_rate": 0.0002,
707
+ "loss": 0.6534,
708
+ "step": 110
709
+ },
710
+ {
711
+ "epoch": 0.32,
712
+ "learning_rate": 0.0002,
713
+ "loss": 0.7322,
714
+ "step": 111
715
+ },
716
+ {
717
+ "epoch": 0.33,
718
+ "learning_rate": 0.0002,
719
+ "loss": 0.6634,
720
+ "step": 112
721
+ },
722
+ {
723
+ "epoch": 0.33,
724
+ "learning_rate": 0.0002,
725
+ "loss": 0.6194,
726
+ "step": 113
727
+ },
728
+ {
729
+ "epoch": 0.33,
730
+ "learning_rate": 0.0002,
731
+ "loss": 0.6238,
732
+ "step": 114
733
+ },
734
+ {
735
+ "epoch": 0.34,
736
+ "learning_rate": 0.0002,
737
+ "loss": 0.6806,
738
+ "step": 115
739
+ },
740
+ {
741
+ "epoch": 0.34,
742
+ "learning_rate": 0.0002,
743
+ "loss": 0.7004,
744
+ "step": 116
745
+ },
746
+ {
747
+ "epoch": 0.34,
748
+ "learning_rate": 0.0002,
749
+ "loss": 0.6181,
750
+ "step": 117
751
+ },
752
+ {
753
+ "epoch": 0.35,
754
+ "learning_rate": 0.0002,
755
+ "loss": 0.6187,
756
+ "step": 118
757
+ },
758
+ {
759
+ "epoch": 0.35,
760
+ "learning_rate": 0.0002,
761
+ "loss": 0.6148,
762
+ "step": 119
763
+ },
764
+ {
765
+ "epoch": 0.35,
766
+ "learning_rate": 0.0002,
767
+ "loss": 0.588,
768
+ "step": 120
769
+ },
770
+ {
771
+ "epoch": 0.35,
772
+ "eval_loss": 0.7125279307365417,
773
+ "eval_runtime": 61.6611,
774
+ "eval_samples_per_second": 0.454,
775
+ "eval_steps_per_second": 0.227,
776
+ "step": 120
777
+ },
778
+ {
779
+ "epoch": 0.35,
780
+ "learning_rate": 0.0002,
781
+ "loss": 0.6556,
782
+ "step": 121
783
+ },
784
+ {
785
+ "epoch": 0.36,
786
+ "learning_rate": 0.0002,
787
+ "loss": 0.6815,
788
+ "step": 122
789
+ },
790
+ {
791
+ "epoch": 0.36,
792
+ "learning_rate": 0.0002,
793
+ "loss": 0.6437,
794
+ "step": 123
795
+ },
796
+ {
797
+ "epoch": 0.36,
798
+ "learning_rate": 0.0002,
799
+ "loss": 0.5877,
800
+ "step": 124
801
+ },
802
+ {
803
+ "epoch": 0.37,
804
+ "learning_rate": 0.0002,
805
+ "loss": 0.661,
806
+ "step": 125
807
+ },
808
+ {
809
+ "epoch": 0.37,
810
+ "learning_rate": 0.0002,
811
+ "loss": 0.6967,
812
+ "step": 126
813
+ },
814
+ {
815
+ "epoch": 0.37,
816
+ "learning_rate": 0.0002,
817
+ "loss": 0.5305,
818
+ "step": 127
819
+ },
820
+ {
821
+ "epoch": 0.37,
822
+ "learning_rate": 0.0002,
823
+ "loss": 0.696,
824
+ "step": 128
825
+ },
826
+ {
827
+ "epoch": 0.38,
828
+ "learning_rate": 0.0002,
829
+ "loss": 0.6206,
830
+ "step": 129
831
+ },
832
+ {
833
+ "epoch": 0.38,
834
+ "learning_rate": 0.0002,
835
+ "loss": 0.6093,
836
+ "step": 130
837
+ },
838
+ {
839
+ "epoch": 0.38,
840
+ "learning_rate": 0.0002,
841
+ "loss": 0.6691,
842
+ "step": 131
843
+ },
844
+ {
845
+ "epoch": 0.39,
846
+ "learning_rate": 0.0002,
847
+ "loss": 0.6741,
848
+ "step": 132
849
+ },
850
+ {
851
+ "epoch": 0.39,
852
+ "learning_rate": 0.0002,
853
+ "loss": 0.703,
854
+ "step": 133
855
+ },
856
+ {
857
+ "epoch": 0.39,
858
+ "learning_rate": 0.0002,
859
+ "loss": 0.6277,
860
+ "step": 134
861
+ },
862
+ {
863
+ "epoch": 0.39,
864
+ "learning_rate": 0.0002,
865
+ "loss": 0.6689,
866
+ "step": 135
867
+ },
868
+ {
869
+ "epoch": 0.4,
870
+ "learning_rate": 0.0002,
871
+ "loss": 0.6759,
872
+ "step": 136
873
+ },
874
+ {
875
+ "epoch": 0.4,
876
+ "learning_rate": 0.0002,
877
+ "loss": 0.6478,
878
+ "step": 137
879
+ },
880
+ {
881
+ "epoch": 0.4,
882
+ "learning_rate": 0.0002,
883
+ "loss": 0.6293,
884
+ "step": 138
885
+ },
886
+ {
887
+ "epoch": 0.41,
888
+ "learning_rate": 0.0002,
889
+ "loss": 0.6697,
890
+ "step": 139
891
+ },
892
+ {
893
+ "epoch": 0.41,
894
+ "learning_rate": 0.0002,
895
+ "loss": 0.5792,
896
+ "step": 140
897
+ },
898
+ {
899
+ "epoch": 0.41,
900
+ "eval_loss": 0.7092259526252747,
901
+ "eval_runtime": 61.6566,
902
+ "eval_samples_per_second": 0.454,
903
+ "eval_steps_per_second": 0.227,
904
+ "step": 140
905
+ },
906
+ {
907
+ "epoch": 0.41,
908
+ "learning_rate": 0.0002,
909
+ "loss": 0.6318,
910
+ "step": 141
911
+ },
912
+ {
913
+ "epoch": 0.42,
914
+ "learning_rate": 0.0002,
915
+ "loss": 0.6087,
916
+ "step": 142
917
+ },
918
+ {
919
+ "epoch": 0.42,
920
+ "learning_rate": 0.0002,
921
+ "loss": 0.6719,
922
+ "step": 143
923
+ },
924
+ {
925
+ "epoch": 0.42,
926
+ "learning_rate": 0.0002,
927
+ "loss": 0.6805,
928
+ "step": 144
929
+ },
930
+ {
931
+ "epoch": 0.42,
932
+ "learning_rate": 0.0002,
933
+ "loss": 0.7078,
934
+ "step": 145
935
+ },
936
+ {
937
+ "epoch": 0.43,
938
+ "learning_rate": 0.0002,
939
+ "loss": 0.7451,
940
+ "step": 146
941
+ },
942
+ {
943
+ "epoch": 0.43,
944
+ "learning_rate": 0.0002,
945
+ "loss": 0.7025,
946
+ "step": 147
947
+ },
948
+ {
949
+ "epoch": 0.43,
950
+ "learning_rate": 0.0002,
951
+ "loss": 0.6966,
952
+ "step": 148
953
+ },
954
+ {
955
+ "epoch": 0.44,
956
+ "learning_rate": 0.0002,
957
+ "loss": 0.6685,
958
+ "step": 149
959
+ },
960
+ {
961
+ "epoch": 0.44,
962
+ "learning_rate": 0.0002,
963
+ "loss": 0.6475,
964
+ "step": 150
965
+ },
966
+ {
967
+ "epoch": 0.44,
968
+ "learning_rate": 0.0002,
969
+ "loss": 0.685,
970
+ "step": 151
971
+ },
972
+ {
973
+ "epoch": 0.44,
974
+ "learning_rate": 0.0002,
975
+ "loss": 0.6586,
976
+ "step": 152
977
+ },
978
+ {
979
+ "epoch": 0.45,
980
+ "learning_rate": 0.0002,
981
+ "loss": 0.7471,
982
+ "step": 153
983
+ },
984
+ {
985
+ "epoch": 0.45,
986
+ "learning_rate": 0.0002,
987
+ "loss": 0.7459,
988
+ "step": 154
989
+ },
990
+ {
991
+ "epoch": 0.45,
992
+ "learning_rate": 0.0002,
993
+ "loss": 0.6347,
994
+ "step": 155
995
+ },
996
+ {
997
+ "epoch": 0.46,
998
+ "learning_rate": 0.0002,
999
+ "loss": 0.6863,
1000
+ "step": 156
1001
+ },
1002
+ {
1003
+ "epoch": 0.46,
1004
+ "learning_rate": 0.0002,
1005
+ "loss": 0.7217,
1006
+ "step": 157
1007
+ },
1008
+ {
1009
+ "epoch": 0.46,
1010
+ "learning_rate": 0.0002,
1011
+ "loss": 0.6961,
1012
+ "step": 158
1013
+ },
1014
+ {
1015
+ "epoch": 0.46,
1016
+ "learning_rate": 0.0002,
1017
+ "loss": 0.7294,
1018
+ "step": 159
1019
+ },
1020
+ {
1021
+ "epoch": 0.47,
1022
+ "learning_rate": 0.0002,
1023
+ "loss": 0.7065,
1024
+ "step": 160
1025
+ },
1026
+ {
1027
+ "epoch": 0.47,
1028
+ "eval_loss": 0.7031598687171936,
1029
+ "eval_runtime": 61.6722,
1030
+ "eval_samples_per_second": 0.454,
1031
+ "eval_steps_per_second": 0.227,
1032
+ "step": 160
1033
+ },
1034
+ {
1035
+ "epoch": 0.47,
1036
+ "learning_rate": 0.0002,
1037
+ "loss": 0.6617,
1038
+ "step": 161
1039
+ },
1040
+ {
1041
+ "epoch": 0.47,
1042
+ "learning_rate": 0.0002,
1043
+ "loss": 0.7022,
1044
+ "step": 162
1045
+ },
1046
+ {
1047
+ "epoch": 0.48,
1048
+ "learning_rate": 0.0002,
1049
+ "loss": 0.6815,
1050
+ "step": 163
1051
+ },
1052
+ {
1053
+ "epoch": 0.48,
1054
+ "learning_rate": 0.0002,
1055
+ "loss": 0.6593,
1056
+ "step": 164
1057
+ },
1058
+ {
1059
+ "epoch": 0.48,
1060
+ "learning_rate": 0.0002,
1061
+ "loss": 0.728,
1062
+ "step": 165
1063
+ },
1064
+ {
1065
+ "epoch": 0.49,
1066
+ "learning_rate": 0.0002,
1067
+ "loss": 0.7029,
1068
+ "step": 166
1069
+ },
1070
+ {
1071
+ "epoch": 0.49,
1072
+ "learning_rate": 0.0002,
1073
+ "loss": 0.6828,
1074
+ "step": 167
1075
+ },
1076
+ {
1077
+ "epoch": 0.49,
1078
+ "learning_rate": 0.0002,
1079
+ "loss": 0.7378,
1080
+ "step": 168
1081
+ },
1082
+ {
1083
+ "epoch": 0.49,
1084
+ "learning_rate": 0.0002,
1085
+ "loss": 0.6646,
1086
+ "step": 169
1087
+ },
1088
+ {
1089
+ "epoch": 0.5,
1090
+ "learning_rate": 0.0002,
1091
+ "loss": 0.6884,
1092
+ "step": 170
1093
+ },
1094
+ {
1095
+ "epoch": 0.5,
1096
+ "learning_rate": 0.0002,
1097
+ "loss": 0.6713,
1098
+ "step": 171
1099
+ },
1100
+ {
1101
+ "epoch": 0.5,
1102
+ "learning_rate": 0.0002,
1103
+ "loss": 0.703,
1104
+ "step": 172
1105
+ },
1106
+ {
1107
+ "epoch": 0.51,
1108
+ "learning_rate": 0.0002,
1109
+ "loss": 0.6899,
1110
+ "step": 173
1111
+ },
1112
+ {
1113
+ "epoch": 0.51,
1114
+ "learning_rate": 0.0002,
1115
+ "loss": 0.7384,
1116
+ "step": 174
1117
+ },
1118
+ {
1119
+ "epoch": 0.51,
1120
+ "learning_rate": 0.0002,
1121
+ "loss": 0.6977,
1122
+ "step": 175
1123
+ },
1124
+ {
1125
+ "epoch": 0.51,
1126
+ "learning_rate": 0.0002,
1127
+ "loss": 0.7067,
1128
+ "step": 176
1129
+ },
1130
+ {
1131
+ "epoch": 0.52,
1132
+ "learning_rate": 0.0002,
1133
+ "loss": 0.6933,
1134
+ "step": 177
1135
+ },
1136
+ {
1137
+ "epoch": 0.52,
1138
+ "learning_rate": 0.0002,
1139
+ "loss": 0.6773,
1140
+ "step": 178
1141
+ },
1142
+ {
1143
+ "epoch": 0.52,
1144
+ "learning_rate": 0.0002,
1145
+ "loss": 0.7154,
1146
+ "step": 179
1147
+ },
1148
+ {
1149
+ "epoch": 0.53,
1150
+ "learning_rate": 0.0002,
1151
+ "loss": 0.6897,
1152
+ "step": 180
1153
+ },
1154
+ {
1155
+ "epoch": 0.53,
1156
+ "eval_loss": 0.6995596885681152,
1157
+ "eval_runtime": 61.6698,
1158
+ "eval_samples_per_second": 0.454,
1159
+ "eval_steps_per_second": 0.227,
1160
+ "step": 180
1161
+ },
1162
+ {
1163
+ "epoch": 0.53,
1164
+ "learning_rate": 0.0002,
1165
+ "loss": 0.6492,
1166
+ "step": 181
1167
+ },
1168
+ {
1169
+ "epoch": 0.53,
1170
+ "learning_rate": 0.0002,
1171
+ "loss": 0.722,
1172
+ "step": 182
1173
+ },
1174
+ {
1175
+ "epoch": 0.54,
1176
+ "learning_rate": 0.0002,
1177
+ "loss": 0.7521,
1178
+ "step": 183
1179
+ },
1180
+ {
1181
+ "epoch": 0.54,
1182
+ "learning_rate": 0.0002,
1183
+ "loss": 0.7093,
1184
+ "step": 184
1185
+ },
1186
+ {
1187
+ "epoch": 0.54,
1188
+ "learning_rate": 0.0002,
1189
+ "loss": 0.72,
1190
+ "step": 185
1191
+ },
1192
+ {
1193
+ "epoch": 0.54,
1194
+ "learning_rate": 0.0002,
1195
+ "loss": 0.7001,
1196
+ "step": 186
1197
+ },
1198
+ {
1199
+ "epoch": 0.55,
1200
+ "learning_rate": 0.0002,
1201
+ "loss": 0.642,
1202
+ "step": 187
1203
+ },
1204
+ {
1205
+ "epoch": 0.55,
1206
+ "learning_rate": 0.0002,
1207
+ "loss": 0.6805,
1208
+ "step": 188
1209
+ },
1210
+ {
1211
+ "epoch": 0.55,
1212
+ "learning_rate": 0.0002,
1213
+ "loss": 0.7094,
1214
+ "step": 189
1215
+ },
1216
+ {
1217
+ "epoch": 0.56,
1218
+ "learning_rate": 0.0002,
1219
+ "loss": 0.6851,
1220
+ "step": 190
1221
+ },
1222
+ {
1223
+ "epoch": 0.56,
1224
+ "learning_rate": 0.0002,
1225
+ "loss": 0.6624,
1226
+ "step": 191
1227
+ },
1228
+ {
1229
+ "epoch": 0.56,
1230
+ "learning_rate": 0.0002,
1231
+ "loss": 0.7122,
1232
+ "step": 192
1233
+ },
1234
+ {
1235
+ "epoch": 0.56,
1236
+ "learning_rate": 0.0002,
1237
+ "loss": 0.6792,
1238
+ "step": 193
1239
+ },
1240
+ {
1241
+ "epoch": 0.57,
1242
+ "learning_rate": 0.0002,
1243
+ "loss": 0.6736,
1244
+ "step": 194
1245
+ },
1246
+ {
1247
+ "epoch": 0.57,
1248
+ "learning_rate": 0.0002,
1249
+ "loss": 0.7077,
1250
+ "step": 195
1251
+ },
1252
+ {
1253
+ "epoch": 0.57,
1254
+ "learning_rate": 0.0002,
1255
+ "loss": 0.647,
1256
+ "step": 196
1257
+ },
1258
+ {
1259
+ "epoch": 0.58,
1260
+ "learning_rate": 0.0002,
1261
+ "loss": 0.701,
1262
+ "step": 197
1263
+ },
1264
+ {
1265
+ "epoch": 0.58,
1266
+ "learning_rate": 0.0002,
1267
+ "loss": 0.7017,
1268
+ "step": 198
1269
+ },
1270
+ {
1271
+ "epoch": 0.58,
1272
+ "learning_rate": 0.0002,
1273
+ "loss": 0.7166,
1274
+ "step": 199
1275
+ },
1276
+ {
1277
+ "epoch": 0.58,
1278
+ "learning_rate": 0.0002,
1279
+ "loss": 0.7053,
1280
+ "step": 200
1281
+ },
1282
+ {
1283
+ "epoch": 0.58,
1284
+ "eval_loss": 0.6974362730979919,
1285
+ "eval_runtime": 61.6749,
1286
+ "eval_samples_per_second": 0.454,
1287
+ "eval_steps_per_second": 0.227,
1288
+ "step": 200
1289
+ },
1290
+ {
1291
+ "epoch": 0.59,
1292
+ "learning_rate": 0.0002,
1293
+ "loss": 0.7491,
1294
+ "step": 201
1295
+ },
1296
+ {
1297
+ "epoch": 0.59,
1298
+ "learning_rate": 0.0002,
1299
+ "loss": 0.684,
1300
+ "step": 202
1301
+ },
1302
+ {
1303
+ "epoch": 0.59,
1304
+ "learning_rate": 0.0002,
1305
+ "loss": 0.6663,
1306
+ "step": 203
1307
+ },
1308
+ {
1309
+ "epoch": 0.6,
1310
+ "learning_rate": 0.0002,
1311
+ "loss": 0.6929,
1312
+ "step": 204
1313
+ },
1314
+ {
1315
+ "epoch": 0.6,
1316
+ "learning_rate": 0.0002,
1317
+ "loss": 0.6709,
1318
+ "step": 205
1319
+ },
1320
+ {
1321
+ "epoch": 0.6,
1322
+ "learning_rate": 0.0002,
1323
+ "loss": 0.6705,
1324
+ "step": 206
1325
+ },
1326
+ {
1327
+ "epoch": 0.61,
1328
+ "learning_rate": 0.0002,
1329
+ "loss": 0.7128,
1330
+ "step": 207
1331
+ },
1332
+ {
1333
+ "epoch": 0.61,
1334
+ "learning_rate": 0.0002,
1335
+ "loss": 0.7086,
1336
+ "step": 208
1337
+ },
1338
+ {
1339
+ "epoch": 0.61,
1340
+ "learning_rate": 0.0002,
1341
+ "loss": 0.7026,
1342
+ "step": 209
1343
+ },
1344
+ {
1345
+ "epoch": 0.61,
1346
+ "learning_rate": 0.0002,
1347
+ "loss": 0.7333,
1348
+ "step": 210
1349
+ },
1350
+ {
1351
+ "epoch": 0.62,
1352
+ "learning_rate": 0.0002,
1353
+ "loss": 0.7072,
1354
+ "step": 211
1355
+ },
1356
+ {
1357
+ "epoch": 0.62,
1358
+ "learning_rate": 0.0002,
1359
+ "loss": 0.6791,
1360
+ "step": 212
1361
+ },
1362
+ {
1363
+ "epoch": 0.62,
1364
+ "learning_rate": 0.0002,
1365
+ "loss": 0.7324,
1366
+ "step": 213
1367
+ },
1368
+ {
1369
+ "epoch": 0.63,
1370
+ "learning_rate": 0.0002,
1371
+ "loss": 0.6743,
1372
+ "step": 214
1373
+ },
1374
+ {
1375
+ "epoch": 0.63,
1376
+ "learning_rate": 0.0002,
1377
+ "loss": 0.7017,
1378
+ "step": 215
1379
+ },
1380
+ {
1381
+ "epoch": 0.63,
1382
+ "learning_rate": 0.0002,
1383
+ "loss": 0.6592,
1384
+ "step": 216
1385
+ },
1386
+ {
1387
+ "epoch": 0.63,
1388
+ "learning_rate": 0.0002,
1389
+ "loss": 0.6691,
1390
+ "step": 217
1391
+ },
1392
+ {
1393
+ "epoch": 0.64,
1394
+ "learning_rate": 0.0002,
1395
+ "loss": 0.7093,
1396
+ "step": 218
1397
+ },
1398
+ {
1399
+ "epoch": 0.64,
1400
+ "learning_rate": 0.0002,
1401
+ "loss": 0.6677,
1402
+ "step": 219
1403
+ },
1404
+ {
1405
+ "epoch": 0.64,
1406
+ "learning_rate": 0.0002,
1407
+ "loss": 0.7233,
1408
+ "step": 220
1409
+ },
1410
+ {
1411
+ "epoch": 0.64,
1412
+ "eval_loss": 0.6950156092643738,
1413
+ "eval_runtime": 61.071,
1414
+ "eval_samples_per_second": 0.458,
1415
+ "eval_steps_per_second": 0.229,
1416
+ "step": 220
1417
+ },
1418
+ {
1419
+ "epoch": 0.65,
1420
+ "learning_rate": 0.0002,
1421
+ "loss": 0.6807,
1422
+ "step": 221
1423
+ },
1424
+ {
1425
+ "epoch": 0.65,
1426
+ "learning_rate": 0.0002,
1427
+ "loss": 0.688,
1428
+ "step": 222
1429
+ },
1430
+ {
1431
+ "epoch": 0.65,
1432
+ "learning_rate": 0.0002,
1433
+ "loss": 0.6838,
1434
+ "step": 223
1435
+ },
1436
+ {
1437
+ "epoch": 0.65,
1438
+ "learning_rate": 0.0002,
1439
+ "loss": 0.7596,
1440
+ "step": 224
1441
+ },
1442
+ {
1443
+ "epoch": 0.66,
1444
+ "learning_rate": 0.0002,
1445
+ "loss": 0.7333,
1446
+ "step": 225
1447
+ },
1448
+ {
1449
+ "epoch": 0.66,
1450
+ "learning_rate": 0.0002,
1451
+ "loss": 0.7022,
1452
+ "step": 226
1453
+ },
1454
+ {
1455
+ "epoch": 0.66,
1456
+ "learning_rate": 0.0002,
1457
+ "loss": 0.6913,
1458
+ "step": 227
1459
+ },
1460
+ {
1461
+ "epoch": 0.67,
1462
+ "learning_rate": 0.0002,
1463
+ "loss": 0.6735,
1464
+ "step": 228
1465
+ },
1466
+ {
1467
+ "epoch": 0.67,
1468
+ "learning_rate": 0.0002,
1469
+ "loss": 0.7035,
1470
+ "step": 229
1471
+ },
1472
+ {
1473
+ "epoch": 0.67,
1474
+ "learning_rate": 0.0002,
1475
+ "loss": 0.6986,
1476
+ "step": 230
1477
+ },
1478
+ {
1479
+ "epoch": 0.68,
1480
+ "learning_rate": 0.0002,
1481
+ "loss": 0.7028,
1482
+ "step": 231
1483
+ },
1484
+ {
1485
+ "epoch": 0.68,
1486
+ "learning_rate": 0.0002,
1487
+ "loss": 0.6831,
1488
+ "step": 232
1489
+ },
1490
+ {
1491
+ "epoch": 0.68,
1492
+ "learning_rate": 0.0002,
1493
+ "loss": 0.6742,
1494
+ "step": 233
1495
+ },
1496
+ {
1497
+ "epoch": 0.68,
1498
+ "learning_rate": 0.0002,
1499
+ "loss": 0.7105,
1500
+ "step": 234
1501
+ },
1502
+ {
1503
+ "epoch": 0.69,
1504
+ "learning_rate": 0.0002,
1505
+ "loss": 0.6679,
1506
+ "step": 235
1507
+ },
1508
+ {
1509
+ "epoch": 0.69,
1510
+ "learning_rate": 0.0002,
1511
+ "loss": 0.7177,
1512
+ "step": 236
1513
+ },
1514
+ {
1515
+ "epoch": 0.69,
1516
+ "learning_rate": 0.0002,
1517
+ "loss": 0.6431,
1518
+ "step": 237
1519
+ },
1520
+ {
1521
+ "epoch": 0.7,
1522
+ "learning_rate": 0.0002,
1523
+ "loss": 0.7055,
1524
+ "step": 238
1525
+ },
1526
+ {
1527
+ "epoch": 0.7,
1528
+ "learning_rate": 0.0002,
1529
+ "loss": 0.6814,
1530
+ "step": 239
1531
+ },
1532
+ {
1533
+ "epoch": 0.7,
1534
+ "learning_rate": 0.0002,
1535
+ "loss": 0.6657,
1536
+ "step": 240
1537
+ },
1538
+ {
1539
+ "epoch": 0.7,
1540
+ "eval_loss": 0.6946966052055359,
1541
+ "eval_runtime": 61.1942,
1542
+ "eval_samples_per_second": 0.458,
1543
+ "eval_steps_per_second": 0.229,
1544
+ "step": 240
1545
+ },
1546
+ {
1547
+ "epoch": 0.7,
1548
+ "learning_rate": 0.0002,
1549
+ "loss": 0.7436,
1550
+ "step": 241
1551
+ },
1552
+ {
1553
+ "epoch": 0.71,
1554
+ "learning_rate": 0.0002,
1555
+ "loss": 0.6857,
1556
+ "step": 242
1557
+ },
1558
+ {
1559
+ "epoch": 0.71,
1560
+ "learning_rate": 0.0002,
1561
+ "loss": 0.7002,
1562
+ "step": 243
1563
+ },
1564
+ {
1565
+ "epoch": 0.71,
1566
+ "learning_rate": 0.0002,
1567
+ "loss": 0.7005,
1568
+ "step": 244
1569
+ },
1570
+ {
1571
+ "epoch": 0.72,
1572
+ "learning_rate": 0.0002,
1573
+ "loss": 0.743,
1574
+ "step": 245
1575
+ },
1576
+ {
1577
+ "epoch": 0.72,
1578
+ "learning_rate": 0.0002,
1579
+ "loss": 0.6702,
1580
+ "step": 246
1581
+ },
1582
+ {
1583
+ "epoch": 0.72,
1584
+ "learning_rate": 0.0002,
1585
+ "loss": 0.6766,
1586
+ "step": 247
1587
+ },
1588
+ {
1589
+ "epoch": 0.73,
1590
+ "learning_rate": 0.0002,
1591
+ "loss": 0.7,
1592
+ "step": 248
1593
+ },
1594
+ {
1595
+ "epoch": 0.73,
1596
+ "learning_rate": 0.0002,
1597
+ "loss": 0.6664,
1598
+ "step": 249
1599
+ },
1600
+ {
1601
+ "epoch": 0.73,
1602
+ "learning_rate": 0.0002,
1603
+ "loss": 0.6856,
1604
+ "step": 250
1605
+ },
1606
+ {
1607
+ "epoch": 0.73,
1608
+ "learning_rate": 0.0002,
1609
+ "loss": 0.6954,
1610
+ "step": 251
1611
+ },
1612
+ {
1613
+ "epoch": 0.74,
1614
+ "learning_rate": 0.0002,
1615
+ "loss": 0.6818,
1616
+ "step": 252
1617
+ },
1618
+ {
1619
+ "epoch": 0.74,
1620
+ "learning_rate": 0.0002,
1621
+ "loss": 0.7305,
1622
+ "step": 253
1623
+ },
1624
+ {
1625
+ "epoch": 0.74,
1626
+ "learning_rate": 0.0002,
1627
+ "loss": 0.6953,
1628
+ "step": 254
1629
+ },
1630
+ {
1631
+ "epoch": 0.75,
1632
+ "learning_rate": 0.0002,
1633
+ "loss": 0.7008,
1634
+ "step": 255
1635
+ },
1636
+ {
1637
+ "epoch": 0.75,
1638
+ "learning_rate": 0.0002,
1639
+ "loss": 0.7128,
1640
+ "step": 256
1641
+ },
1642
+ {
1643
+ "epoch": 0.75,
1644
+ "learning_rate": 0.0002,
1645
+ "loss": 0.606,
1646
+ "step": 257
1647
+ },
1648
+ {
1649
+ "epoch": 0.75,
1650
+ "learning_rate": 0.0002,
1651
+ "loss": 0.7075,
1652
+ "step": 258
1653
+ },
1654
+ {
1655
+ "epoch": 0.76,
1656
+ "learning_rate": 0.0002,
1657
+ "loss": 0.6759,
1658
+ "step": 259
1659
+ },
1660
+ {
1661
+ "epoch": 0.76,
1662
+ "learning_rate": 0.0002,
1663
+ "loss": 0.7089,
1664
+ "step": 260
1665
+ },
1666
+ {
1667
+ "epoch": 0.76,
1668
+ "eval_loss": 0.6932913064956665,
1669
+ "eval_runtime": 61.1404,
1670
+ "eval_samples_per_second": 0.458,
1671
+ "eval_steps_per_second": 0.229,
1672
+ "step": 260
1673
+ },
1674
+ {
1675
+ "epoch": 0.76,
1676
+ "learning_rate": 0.0002,
1677
+ "loss": 0.6486,
1678
+ "step": 261
1679
+ },
1680
+ {
1681
+ "epoch": 0.77,
1682
+ "learning_rate": 0.0002,
1683
+ "loss": 0.7123,
1684
+ "step": 262
1685
+ },
1686
+ {
1687
+ "epoch": 0.77,
1688
+ "learning_rate": 0.0002,
1689
+ "loss": 0.687,
1690
+ "step": 263
1691
+ },
1692
+ {
1693
+ "epoch": 0.77,
1694
+ "learning_rate": 0.0002,
1695
+ "loss": 0.6411,
1696
+ "step": 264
1697
+ },
1698
+ {
1699
+ "epoch": 0.77,
1700
+ "learning_rate": 0.0002,
1701
+ "loss": 0.6637,
1702
+ "step": 265
1703
+ },
1704
+ {
1705
+ "epoch": 0.78,
1706
+ "learning_rate": 0.0002,
1707
+ "loss": 0.7098,
1708
+ "step": 266
1709
+ },
1710
+ {
1711
+ "epoch": 0.78,
1712
+ "learning_rate": 0.0002,
1713
+ "loss": 0.7697,
1714
+ "step": 267
1715
+ },
1716
+ {
1717
+ "epoch": 0.78,
1718
+ "learning_rate": 0.0002,
1719
+ "loss": 0.6637,
1720
+ "step": 268
1721
+ },
1722
+ {
1723
+ "epoch": 0.79,
1724
+ "learning_rate": 0.0002,
1725
+ "loss": 0.6425,
1726
+ "step": 269
1727
+ },
1728
+ {
1729
+ "epoch": 0.79,
1730
+ "learning_rate": 0.0002,
1731
+ "loss": 0.69,
1732
+ "step": 270
1733
+ },
1734
+ {
1735
+ "epoch": 0.79,
1736
+ "learning_rate": 0.0002,
1737
+ "loss": 0.6787,
1738
+ "step": 271
1739
+ },
1740
+ {
1741
+ "epoch": 0.8,
1742
+ "learning_rate": 0.0002,
1743
+ "loss": 0.7601,
1744
+ "step": 272
1745
+ },
1746
+ {
1747
+ "epoch": 0.8,
1748
+ "learning_rate": 0.0002,
1749
+ "loss": 0.6727,
1750
+ "step": 273
1751
+ },
1752
+ {
1753
+ "epoch": 0.8,
1754
+ "learning_rate": 0.0002,
1755
+ "loss": 0.6875,
1756
+ "step": 274
1757
+ },
1758
+ {
1759
+ "epoch": 0.8,
1760
+ "learning_rate": 0.0002,
1761
+ "loss": 0.6462,
1762
+ "step": 275
1763
+ },
1764
+ {
1765
+ "epoch": 0.81,
1766
+ "learning_rate": 0.0002,
1767
+ "loss": 0.7698,
1768
+ "step": 276
1769
+ },
1770
+ {
1771
+ "epoch": 0.81,
1772
+ "learning_rate": 0.0002,
1773
+ "loss": 0.6924,
1774
+ "step": 277
1775
+ },
1776
+ {
1777
+ "epoch": 0.81,
1778
+ "learning_rate": 0.0002,
1779
+ "loss": 0.705,
1780
+ "step": 278
1781
+ },
1782
+ {
1783
+ "epoch": 0.82,
1784
+ "learning_rate": 0.0002,
1785
+ "loss": 0.6528,
1786
+ "step": 279
1787
+ },
1788
+ {
1789
+ "epoch": 0.82,
1790
+ "learning_rate": 0.0002,
1791
+ "loss": 0.6635,
1792
+ "step": 280
1793
+ },
1794
+ {
1795
+ "epoch": 0.82,
1796
+ "eval_loss": 0.6923065781593323,
1797
+ "eval_runtime": 61.3221,
1798
+ "eval_samples_per_second": 0.457,
1799
+ "eval_steps_per_second": 0.228,
1800
+ "step": 280
1801
+ },
1802
+ {
1803
+ "epoch": 0.82,
1804
+ "learning_rate": 0.0002,
1805
+ "loss": 0.6604,
1806
+ "step": 281
1807
+ },
1808
+ {
1809
+ "epoch": 0.82,
1810
+ "learning_rate": 0.0002,
1811
+ "loss": 0.7112,
1812
+ "step": 282
1813
+ },
1814
+ {
1815
+ "epoch": 0.83,
1816
+ "learning_rate": 0.0002,
1817
+ "loss": 0.6731,
1818
+ "step": 283
1819
+ },
1820
+ {
1821
+ "epoch": 0.83,
1822
+ "learning_rate": 0.0002,
1823
+ "loss": 0.6982,
1824
+ "step": 284
1825
+ },
1826
+ {
1827
+ "epoch": 0.83,
1828
+ "learning_rate": 0.0002,
1829
+ "loss": 0.6717,
1830
+ "step": 285
1831
+ },
1832
+ {
1833
+ "epoch": 0.84,
1834
+ "learning_rate": 0.0002,
1835
+ "loss": 0.6451,
1836
+ "step": 286
1837
+ },
1838
+ {
1839
+ "epoch": 0.84,
1840
+ "learning_rate": 0.0002,
1841
+ "loss": 0.6553,
1842
+ "step": 287
1843
+ },
1844
+ {
1845
+ "epoch": 0.84,
1846
+ "learning_rate": 0.0002,
1847
+ "loss": 0.6849,
1848
+ "step": 288
1849
+ },
1850
+ {
1851
+ "epoch": 0.85,
1852
+ "learning_rate": 0.0002,
1853
+ "loss": 0.7654,
1854
+ "step": 289
1855
+ },
1856
+ {
1857
+ "epoch": 0.85,
1858
+ "learning_rate": 0.0002,
1859
+ "loss": 0.7549,
1860
+ "step": 290
1861
+ },
1862
+ {
1863
+ "epoch": 0.85,
1864
+ "learning_rate": 0.0002,
1865
+ "loss": 0.7094,
1866
+ "step": 291
1867
+ },
1868
+ {
1869
+ "epoch": 0.85,
1870
+ "learning_rate": 0.0002,
1871
+ "loss": 0.7293,
1872
+ "step": 292
1873
+ },
1874
+ {
1875
+ "epoch": 0.86,
1876
+ "learning_rate": 0.0002,
1877
+ "loss": 0.6716,
1878
+ "step": 293
1879
+ },
1880
+ {
1881
+ "epoch": 0.86,
1882
+ "learning_rate": 0.0002,
1883
+ "loss": 0.6856,
1884
+ "step": 294
1885
+ },
1886
+ {
1887
+ "epoch": 0.86,
1888
+ "learning_rate": 0.0002,
1889
+ "loss": 0.6923,
1890
+ "step": 295
1891
+ },
1892
+ {
1893
+ "epoch": 0.87,
1894
+ "learning_rate": 0.0002,
1895
+ "loss": 0.7298,
1896
+ "step": 296
1897
+ },
1898
+ {
1899
+ "epoch": 0.87,
1900
+ "learning_rate": 0.0002,
1901
+ "loss": 0.6967,
1902
+ "step": 297
1903
+ },
1904
+ {
1905
+ "epoch": 0.87,
1906
+ "learning_rate": 0.0002,
1907
+ "loss": 0.6626,
1908
+ "step": 298
1909
+ },
1910
+ {
1911
+ "epoch": 0.87,
1912
+ "learning_rate": 0.0002,
1913
+ "loss": 0.7118,
1914
+ "step": 299
1915
+ },
1916
+ {
1917
+ "epoch": 0.88,
1918
+ "learning_rate": 0.0002,
1919
+ "loss": 0.7034,
1920
+ "step": 300
1921
+ },
1922
+ {
1923
+ "epoch": 0.88,
1924
+ "eval_loss": 0.691140353679657,
1925
+ "eval_runtime": 61.249,
1926
+ "eval_samples_per_second": 0.457,
1927
+ "eval_steps_per_second": 0.229,
1928
+ "step": 300
1929
+ },
1930
+ {
1931
+ "epoch": 0.88,
1932
+ "learning_rate": 0.0002,
1933
+ "loss": 0.6783,
1934
+ "step": 301
1935
+ },
1936
+ {
1937
+ "epoch": 0.88,
1938
+ "learning_rate": 0.0002,
1939
+ "loss": 0.6674,
1940
+ "step": 302
1941
+ },
1942
+ {
1943
+ "epoch": 0.89,
1944
+ "learning_rate": 0.0002,
1945
+ "loss": 0.6316,
1946
+ "step": 303
1947
+ },
1948
+ {
1949
+ "epoch": 0.89,
1950
+ "learning_rate": 0.0002,
1951
+ "loss": 0.6897,
1952
+ "step": 304
1953
+ },
1954
+ {
1955
+ "epoch": 0.89,
1956
+ "learning_rate": 0.0002,
1957
+ "loss": 0.6863,
1958
+ "step": 305
1959
+ },
1960
+ {
1961
+ "epoch": 0.89,
1962
+ "learning_rate": 0.0002,
1963
+ "loss": 0.72,
1964
+ "step": 306
1965
+ },
1966
+ {
1967
+ "epoch": 0.9,
1968
+ "learning_rate": 0.0002,
1969
+ "loss": 0.6865,
1970
+ "step": 307
1971
+ },
1972
+ {
1973
+ "epoch": 0.9,
1974
+ "learning_rate": 0.0002,
1975
+ "loss": 0.6005,
1976
+ "step": 308
1977
+ },
1978
+ {
1979
+ "epoch": 0.9,
1980
+ "learning_rate": 0.0002,
1981
+ "loss": 0.6751,
1982
+ "step": 309
1983
+ },
1984
+ {
1985
+ "epoch": 0.91,
1986
+ "learning_rate": 0.0002,
1987
+ "loss": 0.6742,
1988
+ "step": 310
1989
+ },
1990
+ {
1991
+ "epoch": 0.91,
1992
+ "learning_rate": 0.0002,
1993
+ "loss": 0.6926,
1994
+ "step": 311
1995
+ },
1996
+ {
1997
+ "epoch": 0.91,
1998
+ "learning_rate": 0.0002,
1999
+ "loss": 0.6604,
2000
+ "step": 312
2001
+ },
2002
+ {
2003
+ "epoch": 0.92,
2004
+ "learning_rate": 0.0002,
2005
+ "loss": 0.7059,
2006
+ "step": 313
2007
+ },
2008
+ {
2009
+ "epoch": 0.92,
2010
+ "learning_rate": 0.0002,
2011
+ "loss": 0.6819,
2012
+ "step": 314
2013
+ },
2014
+ {
2015
+ "epoch": 0.92,
2016
+ "learning_rate": 0.0002,
2017
+ "loss": 0.6743,
2018
+ "step": 315
2019
+ },
2020
+ {
2021
+ "epoch": 0.92,
2022
+ "learning_rate": 0.0002,
2023
+ "loss": 0.6812,
2024
+ "step": 316
2025
+ },
2026
+ {
2027
+ "epoch": 0.93,
2028
+ "learning_rate": 0.0002,
2029
+ "loss": 0.6496,
2030
+ "step": 317
2031
+ },
2032
+ {
2033
+ "epoch": 0.93,
2034
+ "learning_rate": 0.0002,
2035
+ "loss": 0.7033,
2036
+ "step": 318
2037
+ },
2038
+ {
2039
+ "epoch": 0.93,
2040
+ "learning_rate": 0.0002,
2041
+ "loss": 0.6389,
2042
+ "step": 319
2043
+ },
2044
+ {
2045
+ "epoch": 0.94,
2046
+ "learning_rate": 0.0002,
2047
+ "loss": 0.7364,
2048
+ "step": 320
2049
+ },
2050
+ {
2051
+ "epoch": 0.94,
2052
+ "eval_loss": 0.6898225545883179,
2053
+ "eval_runtime": 61.3056,
2054
+ "eval_samples_per_second": 0.457,
2055
+ "eval_steps_per_second": 0.228,
2056
+ "step": 320
2057
+ },
2058
+ {
2059
+ "epoch": 0.94,
2060
+ "learning_rate": 0.0002,
2061
+ "loss": 0.692,
2062
+ "step": 321
2063
+ },
2064
+ {
2065
+ "epoch": 0.94,
2066
+ "learning_rate": 0.0002,
2067
+ "loss": 0.738,
2068
+ "step": 322
2069
+ },
2070
+ {
2071
+ "epoch": 0.94,
2072
+ "learning_rate": 0.0002,
2073
+ "loss": 0.7223,
2074
+ "step": 323
2075
+ },
2076
+ {
2077
+ "epoch": 0.95,
2078
+ "learning_rate": 0.0002,
2079
+ "loss": 0.6788,
2080
+ "step": 324
2081
+ },
2082
+ {
2083
+ "epoch": 0.95,
2084
+ "learning_rate": 0.0002,
2085
+ "loss": 0.6606,
2086
+ "step": 325
2087
+ },
2088
+ {
2089
+ "epoch": 0.95,
2090
+ "learning_rate": 0.0002,
2091
+ "loss": 0.7093,
2092
+ "step": 326
2093
+ },
2094
+ {
2095
+ "epoch": 0.96,
2096
+ "learning_rate": 0.0002,
2097
+ "loss": 0.6258,
2098
+ "step": 327
2099
+ },
2100
+ {
2101
+ "epoch": 0.96,
2102
+ "learning_rate": 0.0002,
2103
+ "loss": 0.6896,
2104
+ "step": 328
2105
+ },
2106
+ {
2107
+ "epoch": 0.96,
2108
+ "learning_rate": 0.0002,
2109
+ "loss": 0.6714,
2110
+ "step": 329
2111
+ },
2112
+ {
2113
+ "epoch": 0.96,
2114
+ "learning_rate": 0.0002,
2115
+ "loss": 0.66,
2116
+ "step": 330
2117
+ },
2118
+ {
2119
+ "epoch": 0.97,
2120
+ "learning_rate": 0.0002,
2121
+ "loss": 0.7295,
2122
+ "step": 331
2123
+ },
2124
+ {
2125
+ "epoch": 0.97,
2126
+ "learning_rate": 0.0002,
2127
+ "loss": 0.6773,
2128
+ "step": 332
2129
+ },
2130
+ {
2131
+ "epoch": 0.97,
2132
+ "learning_rate": 0.0002,
2133
+ "loss": 0.753,
2134
+ "step": 333
2135
+ },
2136
+ {
2137
+ "epoch": 0.98,
2138
+ "learning_rate": 0.0002,
2139
+ "loss": 0.6895,
2140
+ "step": 334
2141
+ },
2142
+ {
2143
+ "epoch": 0.98,
2144
+ "learning_rate": 0.0002,
2145
+ "loss": 0.6615,
2146
+ "step": 335
2147
+ },
2148
+ {
2149
+ "epoch": 0.98,
2150
+ "learning_rate": 0.0002,
2151
+ "loss": 0.682,
2152
+ "step": 336
2153
+ },
2154
+ {
2155
+ "epoch": 0.99,
2156
+ "learning_rate": 0.0002,
2157
+ "loss": 0.6778,
2158
+ "step": 337
2159
+ },
2160
+ {
2161
+ "epoch": 0.99,
2162
+ "learning_rate": 0.0002,
2163
+ "loss": 0.6645,
2164
+ "step": 338
2165
+ },
2166
+ {
2167
+ "epoch": 0.99,
2168
+ "learning_rate": 0.0002,
2169
+ "loss": 0.6779,
2170
+ "step": 339
2171
+ },
2172
+ {
2173
+ "epoch": 0.99,
2174
+ "learning_rate": 0.0002,
2175
+ "loss": 0.7147,
2176
+ "step": 340
2177
+ },
2178
+ {
2179
+ "epoch": 0.99,
2180
+ "eval_loss": 0.688534140586853,
2181
+ "eval_runtime": 61.3371,
2182
+ "eval_samples_per_second": 0.456,
2183
+ "eval_steps_per_second": 0.228,
2184
+ "step": 340
2185
+ },
2186
+ {
2187
+ "epoch": 1.0,
2188
+ "learning_rate": 0.0002,
2189
+ "loss": 0.6342,
2190
+ "step": 341
2191
+ },
2192
+ {
2193
+ "epoch": 1.0,
2194
+ "learning_rate": 0.0002,
2195
+ "loss": 0.7297,
2196
+ "step": 342
2197
+ },
2198
+ {
2199
+ "epoch": 1.0,
2200
+ "learning_rate": 0.0002,
2201
+ "loss": 0.6075,
2202
+ "step": 343
2203
+ },
2204
+ {
2205
+ "epoch": 1.01,
2206
+ "learning_rate": 0.0002,
2207
+ "loss": 0.5591,
2208
+ "step": 344
2209
+ },
2210
+ {
2211
+ "epoch": 1.01,
2212
+ "learning_rate": 0.0002,
2213
+ "loss": 0.6575,
2214
+ "step": 345
2215
+ },
2216
+ {
2217
+ "epoch": 1.01,
2218
+ "learning_rate": 0.0002,
2219
+ "loss": 0.6406,
2220
+ "step": 346
2221
+ },
2222
+ {
2223
+ "epoch": 1.01,
2224
+ "learning_rate": 0.0002,
2225
+ "loss": 0.6006,
2226
+ "step": 347
2227
+ },
2228
+ {
2229
+ "epoch": 1.02,
2230
+ "learning_rate": 0.0002,
2231
+ "loss": 0.6698,
2232
+ "step": 348
2233
+ },
2234
+ {
2235
+ "epoch": 1.02,
2236
+ "learning_rate": 0.0002,
2237
+ "loss": 0.6104,
2238
+ "step": 349
2239
+ },
2240
+ {
2241
+ "epoch": 1.02,
2242
+ "learning_rate": 0.0002,
2243
+ "loss": 0.6391,
2244
+ "step": 350
2245
+ },
2246
+ {
2247
+ "epoch": 1.03,
2248
+ "learning_rate": 0.0002,
2249
+ "loss": 0.6538,
2250
+ "step": 351
2251
+ },
2252
+ {
2253
+ "epoch": 1.03,
2254
+ "learning_rate": 0.0002,
2255
+ "loss": 0.6504,
2256
+ "step": 352
2257
+ },
2258
+ {
2259
+ "epoch": 1.03,
2260
+ "learning_rate": 0.0002,
2261
+ "loss": 0.653,
2262
+ "step": 353
2263
+ },
2264
+ {
2265
+ "epoch": 1.04,
2266
+ "learning_rate": 0.0002,
2267
+ "loss": 0.6621,
2268
+ "step": 354
2269
+ },
2270
+ {
2271
+ "epoch": 1.04,
2272
+ "learning_rate": 0.0002,
2273
+ "loss": 0.6518,
2274
+ "step": 355
2275
+ },
2276
+ {
2277
+ "epoch": 1.04,
2278
+ "learning_rate": 0.0002,
2279
+ "loss": 0.633,
2280
+ "step": 356
2281
+ },
2282
+ {
2283
+ "epoch": 1.04,
2284
+ "learning_rate": 0.0002,
2285
+ "loss": 0.6459,
2286
+ "step": 357
2287
+ },
2288
+ {
2289
+ "epoch": 1.05,
2290
+ "learning_rate": 0.0002,
2291
+ "loss": 0.6154,
2292
+ "step": 358
2293
+ },
2294
+ {
2295
+ "epoch": 1.05,
2296
+ "learning_rate": 0.0002,
2297
+ "loss": 0.6319,
2298
+ "step": 359
2299
+ },
2300
+ {
2301
+ "epoch": 1.05,
2302
+ "learning_rate": 0.0002,
2303
+ "loss": 0.6425,
2304
+ "step": 360
2305
+ },
2306
+ {
2307
+ "epoch": 1.05,
2308
+ "eval_loss": 0.6947513222694397,
2309
+ "eval_runtime": 61.2171,
2310
+ "eval_samples_per_second": 0.457,
2311
+ "eval_steps_per_second": 0.229,
2312
+ "step": 360
2313
+ },
2314
+ {
2315
+ "epoch": 1.06,
2316
+ "learning_rate": 0.0002,
2317
+ "loss": 0.6452,
2318
+ "step": 361
2319
+ },
2320
+ {
2321
+ "epoch": 1.06,
2322
+ "learning_rate": 0.0002,
2323
+ "loss": 0.6406,
2324
+ "step": 362
2325
+ },
2326
+ {
2327
+ "epoch": 1.06,
2328
+ "learning_rate": 0.0002,
2329
+ "loss": 0.6518,
2330
+ "step": 363
2331
+ },
2332
+ {
2333
+ "epoch": 1.06,
2334
+ "learning_rate": 0.0002,
2335
+ "loss": 0.6293,
2336
+ "step": 364
2337
+ },
2338
+ {
2339
+ "epoch": 1.07,
2340
+ "learning_rate": 0.0002,
2341
+ "loss": 0.614,
2342
+ "step": 365
2343
+ },
2344
+ {
2345
+ "epoch": 1.07,
2346
+ "learning_rate": 0.0002,
2347
+ "loss": 0.5518,
2348
+ "step": 366
2349
+ },
2350
+ {
2351
+ "epoch": 1.07,
2352
+ "learning_rate": 0.0002,
2353
+ "loss": 0.6492,
2354
+ "step": 367
2355
+ },
2356
+ {
2357
+ "epoch": 1.08,
2358
+ "learning_rate": 0.0002,
2359
+ "loss": 0.6167,
2360
+ "step": 368
2361
+ },
2362
+ {
2363
+ "epoch": 1.08,
2364
+ "learning_rate": 0.0002,
2365
+ "loss": 0.64,
2366
+ "step": 369
2367
+ },
2368
+ {
2369
+ "epoch": 1.08,
2370
+ "learning_rate": 0.0002,
2371
+ "loss": 0.5885,
2372
+ "step": 370
2373
+ },
2374
+ {
2375
+ "epoch": 1.08,
2376
+ "learning_rate": 0.0002,
2377
+ "loss": 0.6438,
2378
+ "step": 371
2379
+ },
2380
+ {
2381
+ "epoch": 1.09,
2382
+ "learning_rate": 0.0002,
2383
+ "loss": 0.6518,
2384
+ "step": 372
2385
+ },
2386
+ {
2387
+ "epoch": 1.09,
2388
+ "learning_rate": 0.0002,
2389
+ "loss": 0.6697,
2390
+ "step": 373
2391
+ },
2392
+ {
2393
+ "epoch": 1.09,
2394
+ "learning_rate": 0.0002,
2395
+ "loss": 0.6451,
2396
+ "step": 374
2397
+ },
2398
+ {
2399
+ "epoch": 1.1,
2400
+ "learning_rate": 0.0002,
2401
+ "loss": 0.598,
2402
+ "step": 375
2403
+ },
2404
+ {
2405
+ "epoch": 1.1,
2406
+ "learning_rate": 0.0002,
2407
+ "loss": 0.6624,
2408
+ "step": 376
2409
+ },
2410
+ {
2411
+ "epoch": 1.1,
2412
+ "learning_rate": 0.0002,
2413
+ "loss": 0.6355,
2414
+ "step": 377
2415
+ },
2416
+ {
2417
+ "epoch": 1.11,
2418
+ "learning_rate": 0.0002,
2419
+ "loss": 0.5376,
2420
+ "step": 378
2421
+ },
2422
+ {
2423
+ "epoch": 1.11,
2424
+ "learning_rate": 0.0002,
2425
+ "loss": 0.612,
2426
+ "step": 379
2427
+ },
2428
+ {
2429
+ "epoch": 1.11,
2430
+ "learning_rate": 0.0002,
2431
+ "loss": 0.5659,
2432
+ "step": 380
2433
+ },
2434
+ {
2435
+ "epoch": 1.11,
2436
+ "eval_loss": 0.6974608302116394,
2437
+ "eval_runtime": 61.3547,
2438
+ "eval_samples_per_second": 0.456,
2439
+ "eval_steps_per_second": 0.228,
2440
+ "step": 380
2441
+ },
2442
+ {
2443
+ "epoch": 1.11,
2444
+ "learning_rate": 0.0002,
2445
+ "loss": 0.5929,
2446
+ "step": 381
2447
+ },
2448
+ {
2449
+ "epoch": 1.12,
2450
+ "learning_rate": 0.0002,
2451
+ "loss": 0.6472,
2452
+ "step": 382
2453
+ },
2454
+ {
2455
+ "epoch": 1.12,
2456
+ "learning_rate": 0.0002,
2457
+ "loss": 0.6038,
2458
+ "step": 383
2459
+ },
2460
+ {
2461
+ "epoch": 1.12,
2462
+ "learning_rate": 0.0002,
2463
+ "loss": 0.6285,
2464
+ "step": 384
2465
+ },
2466
+ {
2467
+ "epoch": 1.13,
2468
+ "learning_rate": 0.0002,
2469
+ "loss": 0.5863,
2470
+ "step": 385
2471
+ },
2472
+ {
2473
+ "epoch": 1.13,
2474
+ "learning_rate": 0.0002,
2475
+ "loss": 0.591,
2476
+ "step": 386
2477
+ },
2478
+ {
2479
+ "epoch": 1.13,
2480
+ "learning_rate": 0.0002,
2481
+ "loss": 0.5844,
2482
+ "step": 387
2483
+ },
2484
+ {
2485
+ "epoch": 1.13,
2486
+ "learning_rate": 0.0002,
2487
+ "loss": 0.6012,
2488
+ "step": 388
2489
+ },
2490
+ {
2491
+ "epoch": 1.14,
2492
+ "learning_rate": 0.0002,
2493
+ "loss": 0.6596,
2494
+ "step": 389
2495
+ },
2496
+ {
2497
+ "epoch": 1.14,
2498
+ "learning_rate": 0.0002,
2499
+ "loss": 0.6475,
2500
+ "step": 390
2501
+ },
2502
+ {
2503
+ "epoch": 1.14,
2504
+ "learning_rate": 0.0002,
2505
+ "loss": 0.6173,
2506
+ "step": 391
2507
+ },
2508
+ {
2509
+ "epoch": 1.15,
2510
+ "learning_rate": 0.0002,
2511
+ "loss": 0.6239,
2512
+ "step": 392
2513
+ },
2514
+ {
2515
+ "epoch": 1.15,
2516
+ "learning_rate": 0.0002,
2517
+ "loss": 0.6361,
2518
+ "step": 393
2519
+ },
2520
+ {
2521
+ "epoch": 1.15,
2522
+ "learning_rate": 0.0002,
2523
+ "loss": 0.5888,
2524
+ "step": 394
2525
+ },
2526
+ {
2527
+ "epoch": 1.15,
2528
+ "learning_rate": 0.0002,
2529
+ "loss": 0.65,
2530
+ "step": 395
2531
+ },
2532
+ {
2533
+ "epoch": 1.16,
2534
+ "learning_rate": 0.0002,
2535
+ "loss": 0.6552,
2536
+ "step": 396
2537
+ },
2538
+ {
2539
+ "epoch": 1.16,
2540
+ "learning_rate": 0.0002,
2541
+ "loss": 0.6368,
2542
+ "step": 397
2543
+ },
2544
+ {
2545
+ "epoch": 1.16,
2546
+ "learning_rate": 0.0002,
2547
+ "loss": 0.6418,
2548
+ "step": 398
2549
+ },
2550
+ {
2551
+ "epoch": 1.17,
2552
+ "learning_rate": 0.0002,
2553
+ "loss": 0.6543,
2554
+ "step": 399
2555
+ },
2556
+ {
2557
+ "epoch": 1.17,
2558
+ "learning_rate": 0.0002,
2559
+ "loss": 0.5669,
2560
+ "step": 400
2561
+ },
2562
+ {
2563
+ "epoch": 1.17,
2564
+ "eval_loss": 0.702307403087616,
2565
+ "eval_runtime": 61.3341,
2566
+ "eval_samples_per_second": 0.457,
2567
+ "eval_steps_per_second": 0.228,
2568
+ "step": 400
2569
+ }
2570
+ ],
2571
+ "max_steps": 1026,
2572
+ "num_train_epochs": 3,
2573
+ "total_flos": 5.052716433014784e+17,
2574
+ "trial_name": null,
2575
+ "trial_params": null
2576
+ }