denverbaumgartner commited on
Commit
15d739a
·
verified ·
1 Parent(s): d0c7918

Upload trainer_state.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. trainer_state.json +2221 -0
trainer_state.json ADDED
@@ -0,0 +1,2221 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.35135135135135137,
3
+ "best_model_checkpoint": "/train_synth_kaggle_sampled_all_base_00_run_01_train_rerun/checkpoint-357",
4
+ "epoch": 6.995121951219512,
5
+ "global_step": 357,
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": 0.0001,
13
+ "loss": 3.3759,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.04,
18
+ "learning_rate": 0.0001,
19
+ "loss": 2.0536,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.06,
24
+ "learning_rate": 0.0001,
25
+ "loss": 1.3874,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.08,
30
+ "learning_rate": 0.0001,
31
+ "loss": 1.1731,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.1,
36
+ "learning_rate": 0.0001,
37
+ "loss": 0.9834,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.12,
42
+ "learning_rate": 0.0001,
43
+ "loss": 0.8546,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.14,
48
+ "learning_rate": 0.0001,
49
+ "loss": 0.7398,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.16,
54
+ "learning_rate": 0.0001,
55
+ "loss": 0.7305,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.18,
60
+ "learning_rate": 0.0001,
61
+ "loss": 0.7271,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.2,
66
+ "learning_rate": 0.0001,
67
+ "loss": 1.0761,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.21,
72
+ "learning_rate": 0.0001,
73
+ "loss": 0.553,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.23,
78
+ "learning_rate": 0.0001,
79
+ "loss": 0.6037,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.25,
84
+ "learning_rate": 0.0001,
85
+ "loss": 0.7828,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.27,
90
+ "learning_rate": 0.0001,
91
+ "loss": 0.4642,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.29,
96
+ "learning_rate": 0.0001,
97
+ "loss": 0.462,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.31,
102
+ "learning_rate": 0.0001,
103
+ "loss": 0.4447,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.33,
108
+ "learning_rate": 0.0001,
109
+ "loss": 0.5029,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.35,
114
+ "learning_rate": 0.0001,
115
+ "loss": 0.4575,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.37,
120
+ "learning_rate": 0.0001,
121
+ "loss": 0.4271,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.39,
126
+ "learning_rate": 0.0001,
127
+ "loss": 0.41,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.41,
132
+ "learning_rate": 0.0001,
133
+ "loss": 0.466,
134
+ "step": 21
135
+ },
136
+ {
137
+ "epoch": 0.43,
138
+ "learning_rate": 0.0001,
139
+ "loss": 0.3523,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 0.45,
144
+ "learning_rate": 0.0001,
145
+ "loss": 0.4639,
146
+ "step": 23
147
+ },
148
+ {
149
+ "epoch": 0.47,
150
+ "learning_rate": 0.0001,
151
+ "loss": 0.3086,
152
+ "step": 24
153
+ },
154
+ {
155
+ "epoch": 0.49,
156
+ "learning_rate": 0.0001,
157
+ "loss": 0.3207,
158
+ "step": 25
159
+ },
160
+ {
161
+ "epoch": 0.51,
162
+ "learning_rate": 0.0001,
163
+ "loss": 0.3158,
164
+ "step": 26
165
+ },
166
+ {
167
+ "epoch": 0.53,
168
+ "learning_rate": 0.0001,
169
+ "loss": 0.3489,
170
+ "step": 27
171
+ },
172
+ {
173
+ "epoch": 0.55,
174
+ "learning_rate": 0.0001,
175
+ "loss": 0.3118,
176
+ "step": 28
177
+ },
178
+ {
179
+ "epoch": 0.57,
180
+ "learning_rate": 0.0001,
181
+ "loss": 0.3525,
182
+ "step": 29
183
+ },
184
+ {
185
+ "epoch": 0.59,
186
+ "learning_rate": 0.0001,
187
+ "loss": 0.3663,
188
+ "step": 30
189
+ },
190
+ {
191
+ "epoch": 0.6,
192
+ "learning_rate": 0.0001,
193
+ "loss": 0.2651,
194
+ "step": 31
195
+ },
196
+ {
197
+ "epoch": 0.62,
198
+ "learning_rate": 0.0001,
199
+ "loss": 0.403,
200
+ "step": 32
201
+ },
202
+ {
203
+ "epoch": 0.64,
204
+ "learning_rate": 0.0001,
205
+ "loss": 0.2569,
206
+ "step": 33
207
+ },
208
+ {
209
+ "epoch": 0.66,
210
+ "learning_rate": 0.0001,
211
+ "loss": 0.2629,
212
+ "step": 34
213
+ },
214
+ {
215
+ "epoch": 0.68,
216
+ "learning_rate": 0.0001,
217
+ "loss": 0.4017,
218
+ "step": 35
219
+ },
220
+ {
221
+ "epoch": 0.7,
222
+ "learning_rate": 0.0001,
223
+ "loss": 0.2565,
224
+ "step": 36
225
+ },
226
+ {
227
+ "epoch": 0.72,
228
+ "learning_rate": 0.0001,
229
+ "loss": 0.2578,
230
+ "step": 37
231
+ },
232
+ {
233
+ "epoch": 0.74,
234
+ "learning_rate": 0.0001,
235
+ "loss": 0.2865,
236
+ "step": 38
237
+ },
238
+ {
239
+ "epoch": 0.76,
240
+ "learning_rate": 0.0001,
241
+ "loss": 0.2865,
242
+ "step": 39
243
+ },
244
+ {
245
+ "epoch": 0.78,
246
+ "learning_rate": 0.0001,
247
+ "loss": 0.2676,
248
+ "step": 40
249
+ },
250
+ {
251
+ "epoch": 0.8,
252
+ "learning_rate": 0.0001,
253
+ "loss": 0.3189,
254
+ "step": 41
255
+ },
256
+ {
257
+ "epoch": 0.82,
258
+ "learning_rate": 0.0001,
259
+ "loss": 0.3188,
260
+ "step": 42
261
+ },
262
+ {
263
+ "epoch": 0.84,
264
+ "learning_rate": 0.0001,
265
+ "loss": 0.3004,
266
+ "step": 43
267
+ },
268
+ {
269
+ "epoch": 0.86,
270
+ "learning_rate": 0.0001,
271
+ "loss": 0.2068,
272
+ "step": 44
273
+ },
274
+ {
275
+ "epoch": 0.88,
276
+ "learning_rate": 0.0001,
277
+ "loss": 0.3131,
278
+ "step": 45
279
+ },
280
+ {
281
+ "epoch": 0.9,
282
+ "learning_rate": 0.0001,
283
+ "loss": 0.229,
284
+ "step": 46
285
+ },
286
+ {
287
+ "epoch": 0.92,
288
+ "learning_rate": 0.0001,
289
+ "loss": 0.2169,
290
+ "step": 47
291
+ },
292
+ {
293
+ "epoch": 0.94,
294
+ "learning_rate": 0.0001,
295
+ "loss": 0.2326,
296
+ "step": 48
297
+ },
298
+ {
299
+ "epoch": 0.96,
300
+ "learning_rate": 0.0001,
301
+ "loss": 0.3634,
302
+ "step": 49
303
+ },
304
+ {
305
+ "epoch": 0.98,
306
+ "learning_rate": 0.0001,
307
+ "loss": 0.2743,
308
+ "step": 50
309
+ },
310
+ {
311
+ "epoch": 1.0,
312
+ "learning_rate": 0.0001,
313
+ "loss": 0.1879,
314
+ "step": 51
315
+ },
316
+ {
317
+ "epoch": 1.0,
318
+ "eval_exact_match": 0.16216216216216217,
319
+ "eval_exec": 0.2756756756756757,
320
+ "eval_loss": 0.7464725971221924,
321
+ "eval_runtime": 367.6462,
322
+ "eval_samples_per_second": 0.503,
323
+ "step": 51
324
+ },
325
+ {
326
+ "epoch": 1.02,
327
+ "learning_rate": 0.0001,
328
+ "loss": 0.2133,
329
+ "step": 52
330
+ },
331
+ {
332
+ "epoch": 1.04,
333
+ "learning_rate": 0.0001,
334
+ "loss": 0.192,
335
+ "step": 53
336
+ },
337
+ {
338
+ "epoch": 1.06,
339
+ "learning_rate": 0.0001,
340
+ "loss": 0.2053,
341
+ "step": 54
342
+ },
343
+ {
344
+ "epoch": 1.08,
345
+ "learning_rate": 0.0001,
346
+ "loss": 0.1848,
347
+ "step": 55
348
+ },
349
+ {
350
+ "epoch": 1.1,
351
+ "learning_rate": 0.0001,
352
+ "loss": 0.2142,
353
+ "step": 56
354
+ },
355
+ {
356
+ "epoch": 1.12,
357
+ "learning_rate": 0.0001,
358
+ "loss": 0.1977,
359
+ "step": 57
360
+ },
361
+ {
362
+ "epoch": 1.14,
363
+ "learning_rate": 0.0001,
364
+ "loss": 0.2133,
365
+ "step": 58
366
+ },
367
+ {
368
+ "epoch": 1.16,
369
+ "learning_rate": 0.0001,
370
+ "loss": 0.1428,
371
+ "step": 59
372
+ },
373
+ {
374
+ "epoch": 1.18,
375
+ "learning_rate": 0.0001,
376
+ "loss": 0.1575,
377
+ "step": 60
378
+ },
379
+ {
380
+ "epoch": 1.2,
381
+ "learning_rate": 0.0001,
382
+ "loss": 0.1775,
383
+ "step": 61
384
+ },
385
+ {
386
+ "epoch": 1.21,
387
+ "learning_rate": 0.0001,
388
+ "loss": 0.2035,
389
+ "step": 62
390
+ },
391
+ {
392
+ "epoch": 1.23,
393
+ "learning_rate": 0.0001,
394
+ "loss": 0.2387,
395
+ "step": 63
396
+ },
397
+ {
398
+ "epoch": 1.25,
399
+ "learning_rate": 0.0001,
400
+ "loss": 0.1371,
401
+ "step": 64
402
+ },
403
+ {
404
+ "epoch": 1.27,
405
+ "learning_rate": 0.0001,
406
+ "loss": 0.2074,
407
+ "step": 65
408
+ },
409
+ {
410
+ "epoch": 1.29,
411
+ "learning_rate": 0.0001,
412
+ "loss": 0.1563,
413
+ "step": 66
414
+ },
415
+ {
416
+ "epoch": 1.31,
417
+ "learning_rate": 0.0001,
418
+ "loss": 0.1514,
419
+ "step": 67
420
+ },
421
+ {
422
+ "epoch": 1.33,
423
+ "learning_rate": 0.0001,
424
+ "loss": 0.1018,
425
+ "step": 68
426
+ },
427
+ {
428
+ "epoch": 1.35,
429
+ "learning_rate": 0.0001,
430
+ "loss": 0.1714,
431
+ "step": 69
432
+ },
433
+ {
434
+ "epoch": 1.37,
435
+ "learning_rate": 0.0001,
436
+ "loss": 0.3015,
437
+ "step": 70
438
+ },
439
+ {
440
+ "epoch": 1.39,
441
+ "learning_rate": 0.0001,
442
+ "loss": 0.2506,
443
+ "step": 71
444
+ },
445
+ {
446
+ "epoch": 1.41,
447
+ "learning_rate": 0.0001,
448
+ "loss": 0.2401,
449
+ "step": 72
450
+ },
451
+ {
452
+ "epoch": 1.43,
453
+ "learning_rate": 0.0001,
454
+ "loss": 0.1393,
455
+ "step": 73
456
+ },
457
+ {
458
+ "epoch": 1.45,
459
+ "learning_rate": 0.0001,
460
+ "loss": 0.1521,
461
+ "step": 74
462
+ },
463
+ {
464
+ "epoch": 1.47,
465
+ "learning_rate": 0.0001,
466
+ "loss": 0.1903,
467
+ "step": 75
468
+ },
469
+ {
470
+ "epoch": 1.49,
471
+ "learning_rate": 0.0001,
472
+ "loss": 0.2181,
473
+ "step": 76
474
+ },
475
+ {
476
+ "epoch": 1.51,
477
+ "learning_rate": 0.0001,
478
+ "loss": 0.2115,
479
+ "step": 77
480
+ },
481
+ {
482
+ "epoch": 1.53,
483
+ "learning_rate": 0.0001,
484
+ "loss": 0.2493,
485
+ "step": 78
486
+ },
487
+ {
488
+ "epoch": 1.55,
489
+ "learning_rate": 0.0001,
490
+ "loss": 0.202,
491
+ "step": 79
492
+ },
493
+ {
494
+ "epoch": 1.57,
495
+ "learning_rate": 0.0001,
496
+ "loss": 0.2105,
497
+ "step": 80
498
+ },
499
+ {
500
+ "epoch": 1.59,
501
+ "learning_rate": 0.0001,
502
+ "loss": 0.1555,
503
+ "step": 81
504
+ },
505
+ {
506
+ "epoch": 1.6,
507
+ "learning_rate": 0.0001,
508
+ "loss": 0.1505,
509
+ "step": 82
510
+ },
511
+ {
512
+ "epoch": 1.62,
513
+ "learning_rate": 0.0001,
514
+ "loss": 0.2083,
515
+ "step": 83
516
+ },
517
+ {
518
+ "epoch": 1.64,
519
+ "learning_rate": 0.0001,
520
+ "loss": 0.1621,
521
+ "step": 84
522
+ },
523
+ {
524
+ "epoch": 1.66,
525
+ "learning_rate": 0.0001,
526
+ "loss": 0.1271,
527
+ "step": 85
528
+ },
529
+ {
530
+ "epoch": 1.68,
531
+ "learning_rate": 0.0001,
532
+ "loss": 0.1622,
533
+ "step": 86
534
+ },
535
+ {
536
+ "epoch": 1.7,
537
+ "learning_rate": 0.0001,
538
+ "loss": 0.1225,
539
+ "step": 87
540
+ },
541
+ {
542
+ "epoch": 1.72,
543
+ "learning_rate": 0.0001,
544
+ "loss": 0.1872,
545
+ "step": 88
546
+ },
547
+ {
548
+ "epoch": 1.74,
549
+ "learning_rate": 0.0001,
550
+ "loss": 0.1493,
551
+ "step": 89
552
+ },
553
+ {
554
+ "epoch": 1.76,
555
+ "learning_rate": 0.0001,
556
+ "loss": 0.1685,
557
+ "step": 90
558
+ },
559
+ {
560
+ "epoch": 1.78,
561
+ "learning_rate": 0.0001,
562
+ "loss": 0.1341,
563
+ "step": 91
564
+ },
565
+ {
566
+ "epoch": 1.8,
567
+ "learning_rate": 0.0001,
568
+ "loss": 0.1919,
569
+ "step": 92
570
+ },
571
+ {
572
+ "epoch": 1.82,
573
+ "learning_rate": 0.0001,
574
+ "loss": 0.1806,
575
+ "step": 93
576
+ },
577
+ {
578
+ "epoch": 1.84,
579
+ "learning_rate": 0.0001,
580
+ "loss": 0.179,
581
+ "step": 94
582
+ },
583
+ {
584
+ "epoch": 1.86,
585
+ "learning_rate": 0.0001,
586
+ "loss": 0.1838,
587
+ "step": 95
588
+ },
589
+ {
590
+ "epoch": 1.88,
591
+ "learning_rate": 0.0001,
592
+ "loss": 0.1367,
593
+ "step": 96
594
+ },
595
+ {
596
+ "epoch": 1.9,
597
+ "learning_rate": 0.0001,
598
+ "loss": 0.1353,
599
+ "step": 97
600
+ },
601
+ {
602
+ "epoch": 1.92,
603
+ "learning_rate": 0.0001,
604
+ "loss": 0.198,
605
+ "step": 98
606
+ },
607
+ {
608
+ "epoch": 1.94,
609
+ "learning_rate": 0.0001,
610
+ "loss": 0.1512,
611
+ "step": 99
612
+ },
613
+ {
614
+ "epoch": 1.96,
615
+ "learning_rate": 0.0001,
616
+ "loss": 0.1563,
617
+ "step": 100
618
+ },
619
+ {
620
+ "epoch": 1.98,
621
+ "learning_rate": 0.0001,
622
+ "loss": 0.2044,
623
+ "step": 101
624
+ },
625
+ {
626
+ "epoch": 2.0,
627
+ "learning_rate": 0.0001,
628
+ "loss": 0.1437,
629
+ "step": 102
630
+ },
631
+ {
632
+ "epoch": 2.0,
633
+ "eval_exact_match": 0.12972972972972974,
634
+ "eval_exec": 0.32432432432432434,
635
+ "eval_loss": 0.7133980393409729,
636
+ "eval_runtime": 382.7403,
637
+ "eval_samples_per_second": 0.483,
638
+ "step": 102
639
+ },
640
+ {
641
+ "epoch": 2.02,
642
+ "learning_rate": 0.0001,
643
+ "loss": 0.2096,
644
+ "step": 103
645
+ },
646
+ {
647
+ "epoch": 2.04,
648
+ "learning_rate": 0.0001,
649
+ "loss": 0.1244,
650
+ "step": 104
651
+ },
652
+ {
653
+ "epoch": 2.06,
654
+ "learning_rate": 0.0001,
655
+ "loss": 0.1031,
656
+ "step": 105
657
+ },
658
+ {
659
+ "epoch": 2.08,
660
+ "learning_rate": 0.0001,
661
+ "loss": 0.1223,
662
+ "step": 106
663
+ },
664
+ {
665
+ "epoch": 2.1,
666
+ "learning_rate": 0.0001,
667
+ "loss": 0.1207,
668
+ "step": 107
669
+ },
670
+ {
671
+ "epoch": 2.12,
672
+ "learning_rate": 0.0001,
673
+ "loss": 0.0939,
674
+ "step": 108
675
+ },
676
+ {
677
+ "epoch": 2.14,
678
+ "learning_rate": 0.0001,
679
+ "loss": 0.1211,
680
+ "step": 109
681
+ },
682
+ {
683
+ "epoch": 2.16,
684
+ "learning_rate": 0.0001,
685
+ "loss": 0.0974,
686
+ "step": 110
687
+ },
688
+ {
689
+ "epoch": 2.18,
690
+ "learning_rate": 0.0001,
691
+ "loss": 0.2096,
692
+ "step": 111
693
+ },
694
+ {
695
+ "epoch": 2.2,
696
+ "learning_rate": 0.0001,
697
+ "loss": 0.1407,
698
+ "step": 112
699
+ },
700
+ {
701
+ "epoch": 2.21,
702
+ "learning_rate": 0.0001,
703
+ "loss": 0.1,
704
+ "step": 113
705
+ },
706
+ {
707
+ "epoch": 2.23,
708
+ "learning_rate": 0.0001,
709
+ "loss": 0.1496,
710
+ "step": 114
711
+ },
712
+ {
713
+ "epoch": 2.25,
714
+ "learning_rate": 0.0001,
715
+ "loss": 0.1266,
716
+ "step": 115
717
+ },
718
+ {
719
+ "epoch": 2.27,
720
+ "learning_rate": 0.0001,
721
+ "loss": 0.1363,
722
+ "step": 116
723
+ },
724
+ {
725
+ "epoch": 2.29,
726
+ "learning_rate": 0.0001,
727
+ "loss": 0.1647,
728
+ "step": 117
729
+ },
730
+ {
731
+ "epoch": 2.31,
732
+ "learning_rate": 0.0001,
733
+ "loss": 0.1231,
734
+ "step": 118
735
+ },
736
+ {
737
+ "epoch": 2.33,
738
+ "learning_rate": 0.0001,
739
+ "loss": 0.1421,
740
+ "step": 119
741
+ },
742
+ {
743
+ "epoch": 2.35,
744
+ "learning_rate": 0.0001,
745
+ "loss": 0.1862,
746
+ "step": 120
747
+ },
748
+ {
749
+ "epoch": 2.37,
750
+ "learning_rate": 0.0001,
751
+ "loss": 0.078,
752
+ "step": 121
753
+ },
754
+ {
755
+ "epoch": 2.39,
756
+ "learning_rate": 0.0001,
757
+ "loss": 0.1083,
758
+ "step": 122
759
+ },
760
+ {
761
+ "epoch": 2.41,
762
+ "learning_rate": 0.0001,
763
+ "loss": 0.0885,
764
+ "step": 123
765
+ },
766
+ {
767
+ "epoch": 2.43,
768
+ "learning_rate": 0.0001,
769
+ "loss": 0.1104,
770
+ "step": 124
771
+ },
772
+ {
773
+ "epoch": 2.45,
774
+ "learning_rate": 0.0001,
775
+ "loss": 0.1276,
776
+ "step": 125
777
+ },
778
+ {
779
+ "epoch": 2.47,
780
+ "learning_rate": 0.0001,
781
+ "loss": 0.1461,
782
+ "step": 126
783
+ },
784
+ {
785
+ "epoch": 2.49,
786
+ "learning_rate": 0.0001,
787
+ "loss": 0.1373,
788
+ "step": 127
789
+ },
790
+ {
791
+ "epoch": 2.51,
792
+ "learning_rate": 0.0001,
793
+ "loss": 0.1443,
794
+ "step": 128
795
+ },
796
+ {
797
+ "epoch": 2.53,
798
+ "learning_rate": 0.0001,
799
+ "loss": 0.1285,
800
+ "step": 129
801
+ },
802
+ {
803
+ "epoch": 2.55,
804
+ "learning_rate": 0.0001,
805
+ "loss": 0.09,
806
+ "step": 130
807
+ },
808
+ {
809
+ "epoch": 2.57,
810
+ "learning_rate": 0.0001,
811
+ "loss": 0.1002,
812
+ "step": 131
813
+ },
814
+ {
815
+ "epoch": 2.59,
816
+ "learning_rate": 0.0001,
817
+ "loss": 0.0969,
818
+ "step": 132
819
+ },
820
+ {
821
+ "epoch": 2.6,
822
+ "learning_rate": 0.0001,
823
+ "loss": 0.1384,
824
+ "step": 133
825
+ },
826
+ {
827
+ "epoch": 2.62,
828
+ "learning_rate": 0.0001,
829
+ "loss": 0.1253,
830
+ "step": 134
831
+ },
832
+ {
833
+ "epoch": 2.64,
834
+ "learning_rate": 0.0001,
835
+ "loss": 0.1151,
836
+ "step": 135
837
+ },
838
+ {
839
+ "epoch": 2.66,
840
+ "learning_rate": 0.0001,
841
+ "loss": 0.1213,
842
+ "step": 136
843
+ },
844
+ {
845
+ "epoch": 2.68,
846
+ "learning_rate": 0.0001,
847
+ "loss": 0.1261,
848
+ "step": 137
849
+ },
850
+ {
851
+ "epoch": 2.7,
852
+ "learning_rate": 0.0001,
853
+ "loss": 0.1078,
854
+ "step": 138
855
+ },
856
+ {
857
+ "epoch": 2.72,
858
+ "learning_rate": 0.0001,
859
+ "loss": 0.093,
860
+ "step": 139
861
+ },
862
+ {
863
+ "epoch": 2.74,
864
+ "learning_rate": 0.0001,
865
+ "loss": 0.1167,
866
+ "step": 140
867
+ },
868
+ {
869
+ "epoch": 2.76,
870
+ "learning_rate": 0.0001,
871
+ "loss": 0.127,
872
+ "step": 141
873
+ },
874
+ {
875
+ "epoch": 2.78,
876
+ "learning_rate": 0.0001,
877
+ "loss": 0.1336,
878
+ "step": 142
879
+ },
880
+ {
881
+ "epoch": 2.8,
882
+ "learning_rate": 0.0001,
883
+ "loss": 0.1276,
884
+ "step": 143
885
+ },
886
+ {
887
+ "epoch": 2.82,
888
+ "learning_rate": 0.0001,
889
+ "loss": 0.1152,
890
+ "step": 144
891
+ },
892
+ {
893
+ "epoch": 2.84,
894
+ "learning_rate": 0.0001,
895
+ "loss": 0.1591,
896
+ "step": 145
897
+ },
898
+ {
899
+ "epoch": 2.86,
900
+ "learning_rate": 0.0001,
901
+ "loss": 0.0968,
902
+ "step": 146
903
+ },
904
+ {
905
+ "epoch": 2.88,
906
+ "learning_rate": 0.0001,
907
+ "loss": 0.0911,
908
+ "step": 147
909
+ },
910
+ {
911
+ "epoch": 2.9,
912
+ "learning_rate": 0.0001,
913
+ "loss": 0.1135,
914
+ "step": 148
915
+ },
916
+ {
917
+ "epoch": 2.92,
918
+ "learning_rate": 0.0001,
919
+ "loss": 0.0811,
920
+ "step": 149
921
+ },
922
+ {
923
+ "epoch": 2.94,
924
+ "learning_rate": 0.0001,
925
+ "loss": 0.1472,
926
+ "step": 150
927
+ },
928
+ {
929
+ "epoch": 2.96,
930
+ "learning_rate": 0.0001,
931
+ "loss": 0.1302,
932
+ "step": 151
933
+ },
934
+ {
935
+ "epoch": 2.98,
936
+ "learning_rate": 0.0001,
937
+ "loss": 0.1385,
938
+ "step": 152
939
+ },
940
+ {
941
+ "epoch": 3.0,
942
+ "learning_rate": 0.0001,
943
+ "loss": 0.1673,
944
+ "step": 153
945
+ },
946
+ {
947
+ "epoch": 3.0,
948
+ "eval_exact_match": 0.10810810810810811,
949
+ "eval_exec": 0.3081081081081081,
950
+ "eval_loss": 0.7153419256210327,
951
+ "eval_runtime": 1791.616,
952
+ "eval_samples_per_second": 0.103,
953
+ "step": 153
954
+ },
955
+ {
956
+ "epoch": 3.02,
957
+ "learning_rate": 0.0001,
958
+ "loss": 0.1139,
959
+ "step": 154
960
+ },
961
+ {
962
+ "epoch": 3.04,
963
+ "learning_rate": 0.0001,
964
+ "loss": 0.0709,
965
+ "step": 155
966
+ },
967
+ {
968
+ "epoch": 3.06,
969
+ "learning_rate": 0.0001,
970
+ "loss": 0.0947,
971
+ "step": 156
972
+ },
973
+ {
974
+ "epoch": 3.08,
975
+ "learning_rate": 0.0001,
976
+ "loss": 0.077,
977
+ "step": 157
978
+ },
979
+ {
980
+ "epoch": 3.1,
981
+ "learning_rate": 0.0001,
982
+ "loss": 0.082,
983
+ "step": 158
984
+ },
985
+ {
986
+ "epoch": 3.12,
987
+ "learning_rate": 0.0001,
988
+ "loss": 0.0855,
989
+ "step": 159
990
+ },
991
+ {
992
+ "epoch": 3.14,
993
+ "learning_rate": 0.0001,
994
+ "loss": 0.0727,
995
+ "step": 160
996
+ },
997
+ {
998
+ "epoch": 3.16,
999
+ "learning_rate": 0.0001,
1000
+ "loss": 0.0751,
1001
+ "step": 161
1002
+ },
1003
+ {
1004
+ "epoch": 3.18,
1005
+ "learning_rate": 0.0001,
1006
+ "loss": 0.1084,
1007
+ "step": 162
1008
+ },
1009
+ {
1010
+ "epoch": 3.2,
1011
+ "learning_rate": 0.0001,
1012
+ "loss": 0.074,
1013
+ "step": 163
1014
+ },
1015
+ {
1016
+ "epoch": 3.21,
1017
+ "learning_rate": 0.0001,
1018
+ "loss": 0.067,
1019
+ "step": 164
1020
+ },
1021
+ {
1022
+ "epoch": 3.23,
1023
+ "learning_rate": 0.0001,
1024
+ "loss": 0.0883,
1025
+ "step": 165
1026
+ },
1027
+ {
1028
+ "epoch": 3.25,
1029
+ "learning_rate": 0.0001,
1030
+ "loss": 0.0852,
1031
+ "step": 166
1032
+ },
1033
+ {
1034
+ "epoch": 3.27,
1035
+ "learning_rate": 0.0001,
1036
+ "loss": 0.0585,
1037
+ "step": 167
1038
+ },
1039
+ {
1040
+ "epoch": 3.29,
1041
+ "learning_rate": 0.0001,
1042
+ "loss": 0.0955,
1043
+ "step": 168
1044
+ },
1045
+ {
1046
+ "epoch": 3.31,
1047
+ "learning_rate": 0.0001,
1048
+ "loss": 0.0983,
1049
+ "step": 169
1050
+ },
1051
+ {
1052
+ "epoch": 3.33,
1053
+ "learning_rate": 0.0001,
1054
+ "loss": 0.096,
1055
+ "step": 170
1056
+ },
1057
+ {
1058
+ "epoch": 3.35,
1059
+ "learning_rate": 0.0001,
1060
+ "loss": 0.1348,
1061
+ "step": 171
1062
+ },
1063
+ {
1064
+ "epoch": 3.37,
1065
+ "learning_rate": 0.0001,
1066
+ "loss": 0.1121,
1067
+ "step": 172
1068
+ },
1069
+ {
1070
+ "epoch": 3.39,
1071
+ "learning_rate": 0.0001,
1072
+ "loss": 0.1438,
1073
+ "step": 173
1074
+ },
1075
+ {
1076
+ "epoch": 3.41,
1077
+ "learning_rate": 0.0001,
1078
+ "loss": 0.1388,
1079
+ "step": 174
1080
+ },
1081
+ {
1082
+ "epoch": 3.43,
1083
+ "learning_rate": 0.0001,
1084
+ "loss": 0.0888,
1085
+ "step": 175
1086
+ },
1087
+ {
1088
+ "epoch": 3.45,
1089
+ "learning_rate": 0.0001,
1090
+ "loss": 0.0781,
1091
+ "step": 176
1092
+ },
1093
+ {
1094
+ "epoch": 3.47,
1095
+ "learning_rate": 0.0001,
1096
+ "loss": 0.0962,
1097
+ "step": 177
1098
+ },
1099
+ {
1100
+ "epoch": 3.49,
1101
+ "learning_rate": 0.0001,
1102
+ "loss": 0.0831,
1103
+ "step": 178
1104
+ },
1105
+ {
1106
+ "epoch": 3.51,
1107
+ "learning_rate": 0.0001,
1108
+ "loss": 0.081,
1109
+ "step": 179
1110
+ },
1111
+ {
1112
+ "epoch": 3.53,
1113
+ "learning_rate": 0.0001,
1114
+ "loss": 0.1494,
1115
+ "step": 180
1116
+ },
1117
+ {
1118
+ "epoch": 3.55,
1119
+ "learning_rate": 0.0001,
1120
+ "loss": 0.0967,
1121
+ "step": 181
1122
+ },
1123
+ {
1124
+ "epoch": 3.57,
1125
+ "learning_rate": 0.0001,
1126
+ "loss": 0.1005,
1127
+ "step": 182
1128
+ },
1129
+ {
1130
+ "epoch": 3.59,
1131
+ "learning_rate": 0.0001,
1132
+ "loss": 0.1517,
1133
+ "step": 183
1134
+ },
1135
+ {
1136
+ "epoch": 3.6,
1137
+ "learning_rate": 0.0001,
1138
+ "loss": 0.1001,
1139
+ "step": 184
1140
+ },
1141
+ {
1142
+ "epoch": 3.62,
1143
+ "learning_rate": 0.0001,
1144
+ "loss": 0.0884,
1145
+ "step": 185
1146
+ },
1147
+ {
1148
+ "epoch": 3.64,
1149
+ "learning_rate": 0.0001,
1150
+ "loss": 0.1104,
1151
+ "step": 186
1152
+ },
1153
+ {
1154
+ "epoch": 3.66,
1155
+ "learning_rate": 0.0001,
1156
+ "loss": 0.0923,
1157
+ "step": 187
1158
+ },
1159
+ {
1160
+ "epoch": 3.68,
1161
+ "learning_rate": 0.0001,
1162
+ "loss": 0.0881,
1163
+ "step": 188
1164
+ },
1165
+ {
1166
+ "epoch": 3.7,
1167
+ "learning_rate": 0.0001,
1168
+ "loss": 0.0757,
1169
+ "step": 189
1170
+ },
1171
+ {
1172
+ "epoch": 3.72,
1173
+ "learning_rate": 0.0001,
1174
+ "loss": 0.1063,
1175
+ "step": 190
1176
+ },
1177
+ {
1178
+ "epoch": 3.74,
1179
+ "learning_rate": 0.0001,
1180
+ "loss": 0.1155,
1181
+ "step": 191
1182
+ },
1183
+ {
1184
+ "epoch": 3.76,
1185
+ "learning_rate": 0.0001,
1186
+ "loss": 0.079,
1187
+ "step": 192
1188
+ },
1189
+ {
1190
+ "epoch": 3.78,
1191
+ "learning_rate": 0.0001,
1192
+ "loss": 0.1092,
1193
+ "step": 193
1194
+ },
1195
+ {
1196
+ "epoch": 3.8,
1197
+ "learning_rate": 0.0001,
1198
+ "loss": 0.0885,
1199
+ "step": 194
1200
+ },
1201
+ {
1202
+ "epoch": 3.82,
1203
+ "learning_rate": 0.0001,
1204
+ "loss": 0.0957,
1205
+ "step": 195
1206
+ },
1207
+ {
1208
+ "epoch": 3.84,
1209
+ "learning_rate": 0.0001,
1210
+ "loss": 0.0767,
1211
+ "step": 196
1212
+ },
1213
+ {
1214
+ "epoch": 3.86,
1215
+ "learning_rate": 0.0001,
1216
+ "loss": 0.1115,
1217
+ "step": 197
1218
+ },
1219
+ {
1220
+ "epoch": 3.88,
1221
+ "learning_rate": 0.0001,
1222
+ "loss": 0.0678,
1223
+ "step": 198
1224
+ },
1225
+ {
1226
+ "epoch": 3.9,
1227
+ "learning_rate": 0.0001,
1228
+ "loss": 0.0866,
1229
+ "step": 199
1230
+ },
1231
+ {
1232
+ "epoch": 3.92,
1233
+ "learning_rate": 0.0001,
1234
+ "loss": 0.1096,
1235
+ "step": 200
1236
+ },
1237
+ {
1238
+ "epoch": 3.94,
1239
+ "learning_rate": 0.0001,
1240
+ "loss": 0.0851,
1241
+ "step": 201
1242
+ },
1243
+ {
1244
+ "epoch": 3.96,
1245
+ "learning_rate": 0.0001,
1246
+ "loss": 0.1017,
1247
+ "step": 202
1248
+ },
1249
+ {
1250
+ "epoch": 3.98,
1251
+ "learning_rate": 0.0001,
1252
+ "loss": 0.0999,
1253
+ "step": 203
1254
+ },
1255
+ {
1256
+ "epoch": 4.0,
1257
+ "learning_rate": 0.0001,
1258
+ "loss": 0.1149,
1259
+ "step": 204
1260
+ },
1261
+ {
1262
+ "epoch": 4.0,
1263
+ "eval_exact_match": 0.1783783783783784,
1264
+ "eval_exec": 0.31351351351351353,
1265
+ "eval_loss": 0.717568576335907,
1266
+ "eval_runtime": 347.1085,
1267
+ "eval_samples_per_second": 0.533,
1268
+ "step": 204
1269
+ },
1270
+ {
1271
+ "epoch": 4.02,
1272
+ "learning_rate": 0.0001,
1273
+ "loss": 0.1412,
1274
+ "step": 205
1275
+ },
1276
+ {
1277
+ "epoch": 4.04,
1278
+ "learning_rate": 0.0001,
1279
+ "loss": 0.0757,
1280
+ "step": 206
1281
+ },
1282
+ {
1283
+ "epoch": 4.06,
1284
+ "learning_rate": 0.0001,
1285
+ "loss": 0.0709,
1286
+ "step": 207
1287
+ },
1288
+ {
1289
+ "epoch": 4.08,
1290
+ "learning_rate": 0.0001,
1291
+ "loss": 0.0705,
1292
+ "step": 208
1293
+ },
1294
+ {
1295
+ "epoch": 4.1,
1296
+ "learning_rate": 0.0001,
1297
+ "loss": 0.0839,
1298
+ "step": 209
1299
+ },
1300
+ {
1301
+ "epoch": 4.12,
1302
+ "learning_rate": 0.0001,
1303
+ "loss": 0.0658,
1304
+ "step": 210
1305
+ },
1306
+ {
1307
+ "epoch": 4.14,
1308
+ "learning_rate": 0.0001,
1309
+ "loss": 0.0725,
1310
+ "step": 211
1311
+ },
1312
+ {
1313
+ "epoch": 4.16,
1314
+ "learning_rate": 0.0001,
1315
+ "loss": 0.0701,
1316
+ "step": 212
1317
+ },
1318
+ {
1319
+ "epoch": 4.18,
1320
+ "learning_rate": 0.0001,
1321
+ "loss": 0.0628,
1322
+ "step": 213
1323
+ },
1324
+ {
1325
+ "epoch": 4.2,
1326
+ "learning_rate": 0.0001,
1327
+ "loss": 0.0673,
1328
+ "step": 214
1329
+ },
1330
+ {
1331
+ "epoch": 4.21,
1332
+ "learning_rate": 0.0001,
1333
+ "loss": 0.0847,
1334
+ "step": 215
1335
+ },
1336
+ {
1337
+ "epoch": 4.23,
1338
+ "learning_rate": 0.0001,
1339
+ "loss": 0.1081,
1340
+ "step": 216
1341
+ },
1342
+ {
1343
+ "epoch": 4.25,
1344
+ "learning_rate": 0.0001,
1345
+ "loss": 0.1022,
1346
+ "step": 217
1347
+ },
1348
+ {
1349
+ "epoch": 4.27,
1350
+ "learning_rate": 0.0001,
1351
+ "loss": 0.0912,
1352
+ "step": 218
1353
+ },
1354
+ {
1355
+ "epoch": 4.29,
1356
+ "learning_rate": 0.0001,
1357
+ "loss": 0.0854,
1358
+ "step": 219
1359
+ },
1360
+ {
1361
+ "epoch": 4.31,
1362
+ "learning_rate": 0.0001,
1363
+ "loss": 0.0623,
1364
+ "step": 220
1365
+ },
1366
+ {
1367
+ "epoch": 4.33,
1368
+ "learning_rate": 0.0001,
1369
+ "loss": 0.0852,
1370
+ "step": 221
1371
+ },
1372
+ {
1373
+ "epoch": 4.35,
1374
+ "learning_rate": 0.0001,
1375
+ "loss": 0.0818,
1376
+ "step": 222
1377
+ },
1378
+ {
1379
+ "epoch": 4.37,
1380
+ "learning_rate": 0.0001,
1381
+ "loss": 0.0563,
1382
+ "step": 223
1383
+ },
1384
+ {
1385
+ "epoch": 4.39,
1386
+ "learning_rate": 0.0001,
1387
+ "loss": 0.0868,
1388
+ "step": 224
1389
+ },
1390
+ {
1391
+ "epoch": 4.41,
1392
+ "learning_rate": 0.0001,
1393
+ "loss": 0.0816,
1394
+ "step": 225
1395
+ },
1396
+ {
1397
+ "epoch": 4.43,
1398
+ "learning_rate": 0.0001,
1399
+ "loss": 0.0784,
1400
+ "step": 226
1401
+ },
1402
+ {
1403
+ "epoch": 4.45,
1404
+ "learning_rate": 0.0001,
1405
+ "loss": 0.0943,
1406
+ "step": 227
1407
+ },
1408
+ {
1409
+ "epoch": 4.47,
1410
+ "learning_rate": 0.0001,
1411
+ "loss": 0.1,
1412
+ "step": 228
1413
+ },
1414
+ {
1415
+ "epoch": 4.49,
1416
+ "learning_rate": 0.0001,
1417
+ "loss": 0.0542,
1418
+ "step": 229
1419
+ },
1420
+ {
1421
+ "epoch": 4.51,
1422
+ "learning_rate": 0.0001,
1423
+ "loss": 0.0657,
1424
+ "step": 230
1425
+ },
1426
+ {
1427
+ "epoch": 4.53,
1428
+ "learning_rate": 0.0001,
1429
+ "loss": 0.0755,
1430
+ "step": 231
1431
+ },
1432
+ {
1433
+ "epoch": 4.55,
1434
+ "learning_rate": 0.0001,
1435
+ "loss": 0.0884,
1436
+ "step": 232
1437
+ },
1438
+ {
1439
+ "epoch": 4.57,
1440
+ "learning_rate": 0.0001,
1441
+ "loss": 0.0897,
1442
+ "step": 233
1443
+ },
1444
+ {
1445
+ "epoch": 4.59,
1446
+ "learning_rate": 0.0001,
1447
+ "loss": 0.0916,
1448
+ "step": 234
1449
+ },
1450
+ {
1451
+ "epoch": 4.6,
1452
+ "learning_rate": 0.0001,
1453
+ "loss": 0.0687,
1454
+ "step": 235
1455
+ },
1456
+ {
1457
+ "epoch": 4.62,
1458
+ "learning_rate": 0.0001,
1459
+ "loss": 0.0646,
1460
+ "step": 236
1461
+ },
1462
+ {
1463
+ "epoch": 4.64,
1464
+ "learning_rate": 0.0001,
1465
+ "loss": 0.085,
1466
+ "step": 237
1467
+ },
1468
+ {
1469
+ "epoch": 4.66,
1470
+ "learning_rate": 0.0001,
1471
+ "loss": 0.0887,
1472
+ "step": 238
1473
+ },
1474
+ {
1475
+ "epoch": 4.68,
1476
+ "learning_rate": 0.0001,
1477
+ "loss": 0.0517,
1478
+ "step": 239
1479
+ },
1480
+ {
1481
+ "epoch": 4.7,
1482
+ "learning_rate": 0.0001,
1483
+ "loss": 0.0558,
1484
+ "step": 240
1485
+ },
1486
+ {
1487
+ "epoch": 4.72,
1488
+ "learning_rate": 0.0001,
1489
+ "loss": 0.0712,
1490
+ "step": 241
1491
+ },
1492
+ {
1493
+ "epoch": 4.74,
1494
+ "learning_rate": 0.0001,
1495
+ "loss": 0.0791,
1496
+ "step": 242
1497
+ },
1498
+ {
1499
+ "epoch": 4.76,
1500
+ "learning_rate": 0.0001,
1501
+ "loss": 0.1257,
1502
+ "step": 243
1503
+ },
1504
+ {
1505
+ "epoch": 4.78,
1506
+ "learning_rate": 0.0001,
1507
+ "loss": 0.0589,
1508
+ "step": 244
1509
+ },
1510
+ {
1511
+ "epoch": 4.8,
1512
+ "learning_rate": 0.0001,
1513
+ "loss": 0.0713,
1514
+ "step": 245
1515
+ },
1516
+ {
1517
+ "epoch": 4.82,
1518
+ "learning_rate": 0.0001,
1519
+ "loss": 0.0893,
1520
+ "step": 246
1521
+ },
1522
+ {
1523
+ "epoch": 4.84,
1524
+ "learning_rate": 0.0001,
1525
+ "loss": 0.0832,
1526
+ "step": 247
1527
+ },
1528
+ {
1529
+ "epoch": 4.86,
1530
+ "learning_rate": 0.0001,
1531
+ "loss": 0.0849,
1532
+ "step": 248
1533
+ },
1534
+ {
1535
+ "epoch": 4.88,
1536
+ "learning_rate": 0.0001,
1537
+ "loss": 0.071,
1538
+ "step": 249
1539
+ },
1540
+ {
1541
+ "epoch": 4.9,
1542
+ "learning_rate": 0.0001,
1543
+ "loss": 0.0751,
1544
+ "step": 250
1545
+ },
1546
+ {
1547
+ "epoch": 4.92,
1548
+ "learning_rate": 0.0001,
1549
+ "loss": 0.0704,
1550
+ "step": 251
1551
+ },
1552
+ {
1553
+ "epoch": 4.94,
1554
+ "learning_rate": 0.0001,
1555
+ "loss": 0.0749,
1556
+ "step": 252
1557
+ },
1558
+ {
1559
+ "epoch": 4.96,
1560
+ "learning_rate": 0.0001,
1561
+ "loss": 0.0827,
1562
+ "step": 253
1563
+ },
1564
+ {
1565
+ "epoch": 4.98,
1566
+ "learning_rate": 0.0001,
1567
+ "loss": 0.057,
1568
+ "step": 254
1569
+ },
1570
+ {
1571
+ "epoch": 5.0,
1572
+ "learning_rate": 0.0001,
1573
+ "loss": 0.0717,
1574
+ "step": 255
1575
+ },
1576
+ {
1577
+ "epoch": 5.0,
1578
+ "eval_exact_match": 0.12972972972972974,
1579
+ "eval_exec": 0.2918918918918919,
1580
+ "eval_loss": 0.822371780872345,
1581
+ "eval_runtime": 328.0785,
1582
+ "eval_samples_per_second": 0.564,
1583
+ "step": 255
1584
+ },
1585
+ {
1586
+ "epoch": 5.02,
1587
+ "learning_rate": 0.0001,
1588
+ "loss": 0.0833,
1589
+ "step": 256
1590
+ },
1591
+ {
1592
+ "epoch": 5.04,
1593
+ "learning_rate": 0.0001,
1594
+ "loss": 0.0711,
1595
+ "step": 257
1596
+ },
1597
+ {
1598
+ "epoch": 5.06,
1599
+ "learning_rate": 0.0001,
1600
+ "loss": 0.0769,
1601
+ "step": 258
1602
+ },
1603
+ {
1604
+ "epoch": 5.08,
1605
+ "learning_rate": 0.0001,
1606
+ "loss": 0.054,
1607
+ "step": 259
1608
+ },
1609
+ {
1610
+ "epoch": 5.1,
1611
+ "learning_rate": 0.0001,
1612
+ "loss": 0.0365,
1613
+ "step": 260
1614
+ },
1615
+ {
1616
+ "epoch": 5.12,
1617
+ "learning_rate": 0.0001,
1618
+ "loss": 0.0509,
1619
+ "step": 261
1620
+ },
1621
+ {
1622
+ "epoch": 5.14,
1623
+ "learning_rate": 0.0001,
1624
+ "loss": 0.0718,
1625
+ "step": 262
1626
+ },
1627
+ {
1628
+ "epoch": 5.16,
1629
+ "learning_rate": 0.0001,
1630
+ "loss": 0.04,
1631
+ "step": 263
1632
+ },
1633
+ {
1634
+ "epoch": 5.18,
1635
+ "learning_rate": 0.0001,
1636
+ "loss": 0.053,
1637
+ "step": 264
1638
+ },
1639
+ {
1640
+ "epoch": 5.2,
1641
+ "learning_rate": 0.0001,
1642
+ "loss": 0.0508,
1643
+ "step": 265
1644
+ },
1645
+ {
1646
+ "epoch": 5.21,
1647
+ "learning_rate": 0.0001,
1648
+ "loss": 0.043,
1649
+ "step": 266
1650
+ },
1651
+ {
1652
+ "epoch": 5.23,
1653
+ "learning_rate": 0.0001,
1654
+ "loss": 0.0672,
1655
+ "step": 267
1656
+ },
1657
+ {
1658
+ "epoch": 5.25,
1659
+ "learning_rate": 0.0001,
1660
+ "loss": 0.0971,
1661
+ "step": 268
1662
+ },
1663
+ {
1664
+ "epoch": 5.27,
1665
+ "learning_rate": 0.0001,
1666
+ "loss": 0.0468,
1667
+ "step": 269
1668
+ },
1669
+ {
1670
+ "epoch": 5.29,
1671
+ "learning_rate": 0.0001,
1672
+ "loss": 0.0761,
1673
+ "step": 270
1674
+ },
1675
+ {
1676
+ "epoch": 5.31,
1677
+ "learning_rate": 0.0001,
1678
+ "loss": 0.0684,
1679
+ "step": 271
1680
+ },
1681
+ {
1682
+ "epoch": 5.33,
1683
+ "learning_rate": 0.0001,
1684
+ "loss": 0.0593,
1685
+ "step": 272
1686
+ },
1687
+ {
1688
+ "epoch": 5.35,
1689
+ "learning_rate": 0.0001,
1690
+ "loss": 0.0727,
1691
+ "step": 273
1692
+ },
1693
+ {
1694
+ "epoch": 5.37,
1695
+ "learning_rate": 0.0001,
1696
+ "loss": 0.0939,
1697
+ "step": 274
1698
+ },
1699
+ {
1700
+ "epoch": 5.39,
1701
+ "learning_rate": 0.0001,
1702
+ "loss": 0.0739,
1703
+ "step": 275
1704
+ },
1705
+ {
1706
+ "epoch": 5.41,
1707
+ "learning_rate": 0.0001,
1708
+ "loss": 0.048,
1709
+ "step": 276
1710
+ },
1711
+ {
1712
+ "epoch": 5.43,
1713
+ "learning_rate": 0.0001,
1714
+ "loss": 0.0579,
1715
+ "step": 277
1716
+ },
1717
+ {
1718
+ "epoch": 5.45,
1719
+ "learning_rate": 0.0001,
1720
+ "loss": 0.0904,
1721
+ "step": 278
1722
+ },
1723
+ {
1724
+ "epoch": 5.47,
1725
+ "learning_rate": 0.0001,
1726
+ "loss": 0.0628,
1727
+ "step": 279
1728
+ },
1729
+ {
1730
+ "epoch": 5.49,
1731
+ "learning_rate": 0.0001,
1732
+ "loss": 0.0778,
1733
+ "step": 280
1734
+ },
1735
+ {
1736
+ "epoch": 5.51,
1737
+ "learning_rate": 0.0001,
1738
+ "loss": 0.0491,
1739
+ "step": 281
1740
+ },
1741
+ {
1742
+ "epoch": 5.53,
1743
+ "learning_rate": 0.0001,
1744
+ "loss": 0.0641,
1745
+ "step": 282
1746
+ },
1747
+ {
1748
+ "epoch": 5.55,
1749
+ "learning_rate": 0.0001,
1750
+ "loss": 0.0508,
1751
+ "step": 283
1752
+ },
1753
+ {
1754
+ "epoch": 5.57,
1755
+ "learning_rate": 0.0001,
1756
+ "loss": 0.062,
1757
+ "step": 284
1758
+ },
1759
+ {
1760
+ "epoch": 5.59,
1761
+ "learning_rate": 0.0001,
1762
+ "loss": 0.0786,
1763
+ "step": 285
1764
+ },
1765
+ {
1766
+ "epoch": 5.6,
1767
+ "learning_rate": 0.0001,
1768
+ "loss": 0.048,
1769
+ "step": 286
1770
+ },
1771
+ {
1772
+ "epoch": 5.62,
1773
+ "learning_rate": 0.0001,
1774
+ "loss": 0.0516,
1775
+ "step": 287
1776
+ },
1777
+ {
1778
+ "epoch": 5.64,
1779
+ "learning_rate": 0.0001,
1780
+ "loss": 0.0515,
1781
+ "step": 288
1782
+ },
1783
+ {
1784
+ "epoch": 5.66,
1785
+ "learning_rate": 0.0001,
1786
+ "loss": 0.0889,
1787
+ "step": 289
1788
+ },
1789
+ {
1790
+ "epoch": 5.68,
1791
+ "learning_rate": 0.0001,
1792
+ "loss": 0.0989,
1793
+ "step": 290
1794
+ },
1795
+ {
1796
+ "epoch": 5.7,
1797
+ "learning_rate": 0.0001,
1798
+ "loss": 0.0844,
1799
+ "step": 291
1800
+ },
1801
+ {
1802
+ "epoch": 5.72,
1803
+ "learning_rate": 0.0001,
1804
+ "loss": 0.0843,
1805
+ "step": 292
1806
+ },
1807
+ {
1808
+ "epoch": 5.74,
1809
+ "learning_rate": 0.0001,
1810
+ "loss": 0.0601,
1811
+ "step": 293
1812
+ },
1813
+ {
1814
+ "epoch": 5.76,
1815
+ "learning_rate": 0.0001,
1816
+ "loss": 0.0604,
1817
+ "step": 294
1818
+ },
1819
+ {
1820
+ "epoch": 5.78,
1821
+ "learning_rate": 0.0001,
1822
+ "loss": 0.0791,
1823
+ "step": 295
1824
+ },
1825
+ {
1826
+ "epoch": 5.8,
1827
+ "learning_rate": 0.0001,
1828
+ "loss": 0.0727,
1829
+ "step": 296
1830
+ },
1831
+ {
1832
+ "epoch": 5.82,
1833
+ "learning_rate": 0.0001,
1834
+ "loss": 0.0617,
1835
+ "step": 297
1836
+ },
1837
+ {
1838
+ "epoch": 5.84,
1839
+ "learning_rate": 0.0001,
1840
+ "loss": 0.0587,
1841
+ "step": 298
1842
+ },
1843
+ {
1844
+ "epoch": 5.86,
1845
+ "learning_rate": 0.0001,
1846
+ "loss": 0.0627,
1847
+ "step": 299
1848
+ },
1849
+ {
1850
+ "epoch": 5.88,
1851
+ "learning_rate": 0.0001,
1852
+ "loss": 0.078,
1853
+ "step": 300
1854
+ },
1855
+ {
1856
+ "epoch": 5.9,
1857
+ "learning_rate": 0.0001,
1858
+ "loss": 0.0656,
1859
+ "step": 301
1860
+ },
1861
+ {
1862
+ "epoch": 5.92,
1863
+ "learning_rate": 0.0001,
1864
+ "loss": 0.0443,
1865
+ "step": 302
1866
+ },
1867
+ {
1868
+ "epoch": 5.94,
1869
+ "learning_rate": 0.0001,
1870
+ "loss": 0.0703,
1871
+ "step": 303
1872
+ },
1873
+ {
1874
+ "epoch": 5.96,
1875
+ "learning_rate": 0.0001,
1876
+ "loss": 0.067,
1877
+ "step": 304
1878
+ },
1879
+ {
1880
+ "epoch": 5.98,
1881
+ "learning_rate": 0.0001,
1882
+ "loss": 0.0745,
1883
+ "step": 305
1884
+ },
1885
+ {
1886
+ "epoch": 6.0,
1887
+ "learning_rate": 0.0001,
1888
+ "loss": 0.0639,
1889
+ "step": 306
1890
+ },
1891
+ {
1892
+ "epoch": 6.0,
1893
+ "eval_exact_match": 0.10270270270270271,
1894
+ "eval_exec": 0.31351351351351353,
1895
+ "eval_loss": 0.8198407292366028,
1896
+ "eval_runtime": 314.0983,
1897
+ "eval_samples_per_second": 0.589,
1898
+ "step": 306
1899
+ },
1900
+ {
1901
+ "epoch": 6.02,
1902
+ "learning_rate": 0.0001,
1903
+ "loss": 0.0544,
1904
+ "step": 307
1905
+ },
1906
+ {
1907
+ "epoch": 6.04,
1908
+ "learning_rate": 0.0001,
1909
+ "loss": 0.0427,
1910
+ "step": 308
1911
+ },
1912
+ {
1913
+ "epoch": 6.06,
1914
+ "learning_rate": 0.0001,
1915
+ "loss": 0.0408,
1916
+ "step": 309
1917
+ },
1918
+ {
1919
+ "epoch": 6.08,
1920
+ "learning_rate": 0.0001,
1921
+ "loss": 0.0527,
1922
+ "step": 310
1923
+ },
1924
+ {
1925
+ "epoch": 6.1,
1926
+ "learning_rate": 0.0001,
1927
+ "loss": 0.0541,
1928
+ "step": 311
1929
+ },
1930
+ {
1931
+ "epoch": 6.12,
1932
+ "learning_rate": 0.0001,
1933
+ "loss": 0.0392,
1934
+ "step": 312
1935
+ },
1936
+ {
1937
+ "epoch": 6.14,
1938
+ "learning_rate": 0.0001,
1939
+ "loss": 0.0585,
1940
+ "step": 313
1941
+ },
1942
+ {
1943
+ "epoch": 6.16,
1944
+ "learning_rate": 0.0001,
1945
+ "loss": 0.0813,
1946
+ "step": 314
1947
+ },
1948
+ {
1949
+ "epoch": 6.18,
1950
+ "learning_rate": 0.0001,
1951
+ "loss": 0.0497,
1952
+ "step": 315
1953
+ },
1954
+ {
1955
+ "epoch": 6.2,
1956
+ "learning_rate": 0.0001,
1957
+ "loss": 0.0629,
1958
+ "step": 316
1959
+ },
1960
+ {
1961
+ "epoch": 6.21,
1962
+ "learning_rate": 0.0001,
1963
+ "loss": 0.0457,
1964
+ "step": 317
1965
+ },
1966
+ {
1967
+ "epoch": 6.23,
1968
+ "learning_rate": 0.0001,
1969
+ "loss": 0.0519,
1970
+ "step": 318
1971
+ },
1972
+ {
1973
+ "epoch": 6.25,
1974
+ "learning_rate": 0.0001,
1975
+ "loss": 0.0647,
1976
+ "step": 319
1977
+ },
1978
+ {
1979
+ "epoch": 6.27,
1980
+ "learning_rate": 0.0001,
1981
+ "loss": 0.0391,
1982
+ "step": 320
1983
+ },
1984
+ {
1985
+ "epoch": 6.29,
1986
+ "learning_rate": 0.0001,
1987
+ "loss": 0.0464,
1988
+ "step": 321
1989
+ },
1990
+ {
1991
+ "epoch": 6.31,
1992
+ "learning_rate": 0.0001,
1993
+ "loss": 0.0398,
1994
+ "step": 322
1995
+ },
1996
+ {
1997
+ "epoch": 6.33,
1998
+ "learning_rate": 0.0001,
1999
+ "loss": 0.0425,
2000
+ "step": 323
2001
+ },
2002
+ {
2003
+ "epoch": 6.35,
2004
+ "learning_rate": 0.0001,
2005
+ "loss": 0.0491,
2006
+ "step": 324
2007
+ },
2008
+ {
2009
+ "epoch": 6.37,
2010
+ "learning_rate": 0.0001,
2011
+ "loss": 0.0528,
2012
+ "step": 325
2013
+ },
2014
+ {
2015
+ "epoch": 6.39,
2016
+ "learning_rate": 0.0001,
2017
+ "loss": 0.0605,
2018
+ "step": 326
2019
+ },
2020
+ {
2021
+ "epoch": 6.41,
2022
+ "learning_rate": 0.0001,
2023
+ "loss": 0.0568,
2024
+ "step": 327
2025
+ },
2026
+ {
2027
+ "epoch": 6.43,
2028
+ "learning_rate": 0.0001,
2029
+ "loss": 0.0547,
2030
+ "step": 328
2031
+ },
2032
+ {
2033
+ "epoch": 6.45,
2034
+ "learning_rate": 0.0001,
2035
+ "loss": 0.0861,
2036
+ "step": 329
2037
+ },
2038
+ {
2039
+ "epoch": 6.47,
2040
+ "learning_rate": 0.0001,
2041
+ "loss": 0.0467,
2042
+ "step": 330
2043
+ },
2044
+ {
2045
+ "epoch": 6.49,
2046
+ "learning_rate": 0.0001,
2047
+ "loss": 0.0375,
2048
+ "step": 331
2049
+ },
2050
+ {
2051
+ "epoch": 6.51,
2052
+ "learning_rate": 0.0001,
2053
+ "loss": 0.0965,
2054
+ "step": 332
2055
+ },
2056
+ {
2057
+ "epoch": 6.53,
2058
+ "learning_rate": 0.0001,
2059
+ "loss": 0.0476,
2060
+ "step": 333
2061
+ },
2062
+ {
2063
+ "epoch": 6.55,
2064
+ "learning_rate": 0.0001,
2065
+ "loss": 0.0557,
2066
+ "step": 334
2067
+ },
2068
+ {
2069
+ "epoch": 6.57,
2070
+ "learning_rate": 0.0001,
2071
+ "loss": 0.0592,
2072
+ "step": 335
2073
+ },
2074
+ {
2075
+ "epoch": 6.59,
2076
+ "learning_rate": 0.0001,
2077
+ "loss": 0.052,
2078
+ "step": 336
2079
+ },
2080
+ {
2081
+ "epoch": 6.6,
2082
+ "learning_rate": 0.0001,
2083
+ "loss": 0.0681,
2084
+ "step": 337
2085
+ },
2086
+ {
2087
+ "epoch": 6.62,
2088
+ "learning_rate": 0.0001,
2089
+ "loss": 0.0526,
2090
+ "step": 338
2091
+ },
2092
+ {
2093
+ "epoch": 6.64,
2094
+ "learning_rate": 0.0001,
2095
+ "loss": 0.0734,
2096
+ "step": 339
2097
+ },
2098
+ {
2099
+ "epoch": 6.66,
2100
+ "learning_rate": 0.0001,
2101
+ "loss": 0.0687,
2102
+ "step": 340
2103
+ },
2104
+ {
2105
+ "epoch": 6.68,
2106
+ "learning_rate": 0.0001,
2107
+ "loss": 0.0584,
2108
+ "step": 341
2109
+ },
2110
+ {
2111
+ "epoch": 6.7,
2112
+ "learning_rate": 0.0001,
2113
+ "loss": 0.0679,
2114
+ "step": 342
2115
+ },
2116
+ {
2117
+ "epoch": 6.72,
2118
+ "learning_rate": 0.0001,
2119
+ "loss": 0.0834,
2120
+ "step": 343
2121
+ },
2122
+ {
2123
+ "epoch": 6.74,
2124
+ "learning_rate": 0.0001,
2125
+ "loss": 0.054,
2126
+ "step": 344
2127
+ },
2128
+ {
2129
+ "epoch": 6.76,
2130
+ "learning_rate": 0.0001,
2131
+ "loss": 0.0618,
2132
+ "step": 345
2133
+ },
2134
+ {
2135
+ "epoch": 6.78,
2136
+ "learning_rate": 0.0001,
2137
+ "loss": 0.0813,
2138
+ "step": 346
2139
+ },
2140
+ {
2141
+ "epoch": 6.8,
2142
+ "learning_rate": 0.0001,
2143
+ "loss": 0.0359,
2144
+ "step": 347
2145
+ },
2146
+ {
2147
+ "epoch": 6.82,
2148
+ "learning_rate": 0.0001,
2149
+ "loss": 0.0622,
2150
+ "step": 348
2151
+ },
2152
+ {
2153
+ "epoch": 6.84,
2154
+ "learning_rate": 0.0001,
2155
+ "loss": 0.0734,
2156
+ "step": 349
2157
+ },
2158
+ {
2159
+ "epoch": 6.86,
2160
+ "learning_rate": 0.0001,
2161
+ "loss": 0.086,
2162
+ "step": 350
2163
+ },
2164
+ {
2165
+ "epoch": 6.88,
2166
+ "learning_rate": 0.0001,
2167
+ "loss": 0.0816,
2168
+ "step": 351
2169
+ },
2170
+ {
2171
+ "epoch": 6.9,
2172
+ "learning_rate": 0.0001,
2173
+ "loss": 0.073,
2174
+ "step": 352
2175
+ },
2176
+ {
2177
+ "epoch": 6.92,
2178
+ "learning_rate": 0.0001,
2179
+ "loss": 0.065,
2180
+ "step": 353
2181
+ },
2182
+ {
2183
+ "epoch": 6.94,
2184
+ "learning_rate": 0.0001,
2185
+ "loss": 0.0725,
2186
+ "step": 354
2187
+ },
2188
+ {
2189
+ "epoch": 6.96,
2190
+ "learning_rate": 0.0001,
2191
+ "loss": 0.05,
2192
+ "step": 355
2193
+ },
2194
+ {
2195
+ "epoch": 6.98,
2196
+ "learning_rate": 0.0001,
2197
+ "loss": 0.0421,
2198
+ "step": 356
2199
+ },
2200
+ {
2201
+ "epoch": 7.0,
2202
+ "learning_rate": 0.0001,
2203
+ "loss": 0.0657,
2204
+ "step": 357
2205
+ },
2206
+ {
2207
+ "epoch": 7.0,
2208
+ "eval_exact_match": 0.10810810810810811,
2209
+ "eval_exec": 0.35135135135135137,
2210
+ "eval_loss": 0.8267735838890076,
2211
+ "eval_runtime": 335.9131,
2212
+ "eval_samples_per_second": 0.551,
2213
+ "step": 357
2214
+ }
2215
+ ],
2216
+ "max_steps": 1275,
2217
+ "num_train_epochs": 25,
2218
+ "total_flos": 4.52971520232407e+16,
2219
+ "trial_name": null,
2220
+ "trial_params": null
2221
+ }