enoriega commited on
Commit
7589c51
·
1 Parent(s): 1bb2e2e

Finished training

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.77,
3
+ "eval_accuracy": 0.4171891327063741,
4
+ "eval_loss": 3.979358434677124,
5
+ "eval_runtime": 17.2044,
6
+ "eval_samples_per_second": 581.246,
7
+ "eval_steps_per_second": 18.193,
8
+ "perplexity": 53.48271056576051,
9
+ "train_loss": 2.085782461101506,
10
+ "train_runtime": 24097.4857,
11
+ "train_samples_per_second": 256.517,
12
+ "train_steps_per_second": 0.032
13
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.77,
3
+ "eval_accuracy": 0.4171891327063741,
4
+ "eval_loss": 3.979358434677124,
5
+ "eval_runtime": 17.2044,
6
+ "eval_samples_per_second": 581.246,
7
+ "eval_steps_per_second": 18.193,
8
+ "perplexity": 53.48271056576051
9
+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:280d8da048da610b7355ac0ebdc3d0d8bedc8b7099b1001035b9c67ebfd514b4
3
  size 438128811
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0797d0da972ba4288f5ba9200ae0b0a2c2c047a5e7bfa8178c184d3511fbf4d3
3
  size 438128811
runs/May11_21-27-26_r5u15n1.puma.hpc.arizona.edu/events.out.tfevents.1652329658.r5u15n1.puma.hpc.arizona.edu.40214.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9b41ea32686c63a94ef025a2ed5c7dba502a2b1a431f4ab756c6691b6f05d875
3
- size 42310
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d626ce569cbe0f46534aa1a1b83824caca7fda3e8307dfff7ea1801f4a3cd823
3
+ size 42664
runs/May11_21-27-26_r5u15n1.puma.hpc.arizona.edu/events.out.tfevents.1652353773.r5u15n1.puma.hpc.arizona.edu.40214.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f7905ad94d38a185ea5c02e353f02e8061619271cad9ff31d8f92c9ebe2227fd
3
+ size 363
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.77,
3
+ "train_loss": 2.085782461101506,
4
+ "train_runtime": 24097.4857,
5
+ "train_samples_per_second": 256.517,
6
+ "train_steps_per_second": 0.032
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1357 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.4225879484500174,
3
+ "best_model_checkpoint": "/groups/claytonm/enoriega/kw_pubmed/kw_pubmed_5000_0.00006/checkpoint-585",
4
+ "epoch": 4.770047108764301,
5
+ "global_step": 735,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 5.961038961038961e-05,
13
+ "loss": 4.0597,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.06,
18
+ "learning_rate": 5.922077922077922e-05,
19
+ "loss": 3.63,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.1,
24
+ "learning_rate": 5.883116883116883e-05,
25
+ "loss": 3.467,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.1,
30
+ "eval_accuracy": 0.3901079763148729,
31
+ "eval_loss": 3.7511544227600098,
32
+ "eval_runtime": 16.5637,
33
+ "eval_samples_per_second": 603.729,
34
+ "eval_steps_per_second": 18.897,
35
+ "step": 15
36
+ },
37
+ {
38
+ "epoch": 0.13,
39
+ "learning_rate": 5.844155844155844e-05,
40
+ "loss": 3.3347,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 0.16,
45
+ "learning_rate": 5.805194805194805e-05,
46
+ "loss": 3.2169,
47
+ "step": 25
48
+ },
49
+ {
50
+ "epoch": 0.19,
51
+ "learning_rate": 5.7662337662337664e-05,
52
+ "loss": 3.1359,
53
+ "step": 30
54
+ },
55
+ {
56
+ "epoch": 0.19,
57
+ "eval_accuracy": 0.39041274817136884,
58
+ "eval_loss": 3.7756261825561523,
59
+ "eval_runtime": 16.5475,
60
+ "eval_samples_per_second": 604.322,
61
+ "eval_steps_per_second": 18.915,
62
+ "step": 30
63
+ },
64
+ {
65
+ "epoch": 0.23,
66
+ "learning_rate": 5.7272727272727274e-05,
67
+ "loss": 3.076,
68
+ "step": 35
69
+ },
70
+ {
71
+ "epoch": 0.26,
72
+ "learning_rate": 5.6883116883116884e-05,
73
+ "loss": 2.9729,
74
+ "step": 40
75
+ },
76
+ {
77
+ "epoch": 0.29,
78
+ "learning_rate": 5.6493506493506495e-05,
79
+ "loss": 2.931,
80
+ "step": 45
81
+ },
82
+ {
83
+ "epoch": 0.29,
84
+ "eval_accuracy": 0.39467955416231276,
85
+ "eval_loss": 3.798929452896118,
86
+ "eval_runtime": 16.648,
87
+ "eval_samples_per_second": 600.672,
88
+ "eval_steps_per_second": 18.801,
89
+ "step": 45
90
+ },
91
+ {
92
+ "epoch": 0.32,
93
+ "learning_rate": 5.6103896103896105e-05,
94
+ "loss": 2.8682,
95
+ "step": 50
96
+ },
97
+ {
98
+ "epoch": 0.36,
99
+ "learning_rate": 5.5714285714285715e-05,
100
+ "loss": 2.8255,
101
+ "step": 55
102
+ },
103
+ {
104
+ "epoch": 0.39,
105
+ "learning_rate": 5.5324675324675326e-05,
106
+ "loss": 2.7794,
107
+ "step": 60
108
+ },
109
+ {
110
+ "epoch": 0.39,
111
+ "eval_accuracy": 0.39803204458376873,
112
+ "eval_loss": 3.7885875701904297,
113
+ "eval_runtime": 16.6293,
114
+ "eval_samples_per_second": 601.348,
115
+ "eval_steps_per_second": 18.822,
116
+ "step": 60
117
+ },
118
+ {
119
+ "epoch": 0.42,
120
+ "learning_rate": 5.4935064935064936e-05,
121
+ "loss": 2.7529,
122
+ "step": 65
123
+ },
124
+ {
125
+ "epoch": 0.45,
126
+ "learning_rate": 5.4545454545454546e-05,
127
+ "loss": 2.699,
128
+ "step": 70
129
+ },
130
+ {
131
+ "epoch": 0.49,
132
+ "learning_rate": 5.4155844155844157e-05,
133
+ "loss": 2.6464,
134
+ "step": 75
135
+ },
136
+ {
137
+ "epoch": 0.49,
138
+ "eval_accuracy": 0.4050853361198189,
139
+ "eval_loss": 3.7896740436553955,
140
+ "eval_runtime": 17.133,
141
+ "eval_samples_per_second": 583.668,
142
+ "eval_steps_per_second": 18.269,
143
+ "step": 75
144
+ },
145
+ {
146
+ "epoch": 0.52,
147
+ "learning_rate": 5.376623376623377e-05,
148
+ "loss": 2.6402,
149
+ "step": 80
150
+ },
151
+ {
152
+ "epoch": 0.55,
153
+ "learning_rate": 5.337662337662338e-05,
154
+ "loss": 2.6216,
155
+ "step": 85
156
+ },
157
+ {
158
+ "epoch": 0.58,
159
+ "learning_rate": 5.298701298701299e-05,
160
+ "loss": 2.5798,
161
+ "step": 90
162
+ },
163
+ {
164
+ "epoch": 0.58,
165
+ "eval_accuracy": 0.40316962730755834,
166
+ "eval_loss": 3.832270383834839,
167
+ "eval_runtime": 17.2068,
168
+ "eval_samples_per_second": 581.165,
169
+ "eval_steps_per_second": 18.19,
170
+ "step": 90
171
+ },
172
+ {
173
+ "epoch": 0.61,
174
+ "learning_rate": 5.267532467532468e-05,
175
+ "loss": 2.5716,
176
+ "step": 95
177
+ },
178
+ {
179
+ "epoch": 0.65,
180
+ "learning_rate": 5.228571428571429e-05,
181
+ "loss": 2.5615,
182
+ "step": 100
183
+ },
184
+ {
185
+ "epoch": 0.68,
186
+ "learning_rate": 5.18961038961039e-05,
187
+ "loss": 2.5126,
188
+ "step": 105
189
+ },
190
+ {
191
+ "epoch": 0.68,
192
+ "eval_accuracy": 0.40687042842215254,
193
+ "eval_loss": 3.8271889686584473,
194
+ "eval_runtime": 17.1827,
195
+ "eval_samples_per_second": 581.981,
196
+ "eval_steps_per_second": 18.216,
197
+ "step": 105
198
+ },
199
+ {
200
+ "epoch": 0.71,
201
+ "learning_rate": 5.150649350649351e-05,
202
+ "loss": 2.4727,
203
+ "step": 110
204
+ },
205
+ {
206
+ "epoch": 0.74,
207
+ "learning_rate": 5.111688311688312e-05,
208
+ "loss": 2.5236,
209
+ "step": 115
210
+ },
211
+ {
212
+ "epoch": 0.78,
213
+ "learning_rate": 5.072727272727273e-05,
214
+ "loss": 2.4631,
215
+ "step": 120
216
+ },
217
+ {
218
+ "epoch": 0.78,
219
+ "eval_accuracy": 0.39885928247997215,
220
+ "eval_loss": 3.866598129272461,
221
+ "eval_runtime": 17.205,
222
+ "eval_samples_per_second": 581.228,
223
+ "eval_steps_per_second": 18.192,
224
+ "step": 120
225
+ },
226
+ {
227
+ "epoch": 0.81,
228
+ "learning_rate": 5.033766233766233e-05,
229
+ "loss": 2.4563,
230
+ "step": 125
231
+ },
232
+ {
233
+ "epoch": 0.84,
234
+ "learning_rate": 4.994805194805195e-05,
235
+ "loss": 2.4166,
236
+ "step": 130
237
+ },
238
+ {
239
+ "epoch": 0.87,
240
+ "learning_rate": 4.955844155844156e-05,
241
+ "loss": 2.4321,
242
+ "step": 135
243
+ },
244
+ {
245
+ "epoch": 0.87,
246
+ "eval_accuracy": 0.4076541274817137,
247
+ "eval_loss": 3.8538074493408203,
248
+ "eval_runtime": 17.5232,
249
+ "eval_samples_per_second": 570.673,
250
+ "eval_steps_per_second": 17.862,
251
+ "step": 135
252
+ },
253
+ {
254
+ "epoch": 0.91,
255
+ "learning_rate": 4.916883116883117e-05,
256
+ "loss": 2.3705,
257
+ "step": 140
258
+ },
259
+ {
260
+ "epoch": 0.94,
261
+ "learning_rate": 4.877922077922078e-05,
262
+ "loss": 2.3907,
263
+ "step": 145
264
+ },
265
+ {
266
+ "epoch": 0.97,
267
+ "learning_rate": 4.838961038961039e-05,
268
+ "loss": 2.357,
269
+ "step": 150
270
+ },
271
+ {
272
+ "epoch": 0.97,
273
+ "eval_accuracy": 0.4062173458725183,
274
+ "eval_loss": 3.8510184288024902,
275
+ "eval_runtime": 17.1923,
276
+ "eval_samples_per_second": 581.656,
277
+ "eval_steps_per_second": 18.206,
278
+ "step": 150
279
+ },
280
+ {
281
+ "epoch": 1.01,
282
+ "learning_rate": 4.8e-05,
283
+ "loss": 2.5669,
284
+ "step": 155
285
+ },
286
+ {
287
+ "epoch": 1.04,
288
+ "learning_rate": 4.761038961038961e-05,
289
+ "loss": 2.2904,
290
+ "step": 160
291
+ },
292
+ {
293
+ "epoch": 1.07,
294
+ "learning_rate": 4.722077922077922e-05,
295
+ "loss": 2.2463,
296
+ "step": 165
297
+ },
298
+ {
299
+ "epoch": 1.07,
300
+ "eval_accuracy": 0.4090909090909091,
301
+ "eval_loss": 3.870206117630005,
302
+ "eval_runtime": 17.2036,
303
+ "eval_samples_per_second": 581.273,
304
+ "eval_steps_per_second": 18.194,
305
+ "step": 165
306
+ },
307
+ {
308
+ "epoch": 1.1,
309
+ "learning_rate": 4.683116883116883e-05,
310
+ "loss": 2.2434,
311
+ "step": 170
312
+ },
313
+ {
314
+ "epoch": 1.14,
315
+ "learning_rate": 4.644155844155844e-05,
316
+ "loss": 2.2517,
317
+ "step": 175
318
+ },
319
+ {
320
+ "epoch": 1.17,
321
+ "learning_rate": 4.605194805194805e-05,
322
+ "loss": 2.2312,
323
+ "step": 180
324
+ },
325
+ {
326
+ "epoch": 1.17,
327
+ "eval_accuracy": 0.4103099965168931,
328
+ "eval_loss": 3.878140687942505,
329
+ "eval_runtime": 17.2005,
330
+ "eval_samples_per_second": 581.377,
331
+ "eval_steps_per_second": 18.197,
332
+ "step": 180
333
+ },
334
+ {
335
+ "epoch": 1.2,
336
+ "learning_rate": 4.566233766233766e-05,
337
+ "loss": 2.2025,
338
+ "step": 185
339
+ },
340
+ {
341
+ "epoch": 1.23,
342
+ "learning_rate": 4.5272727272727274e-05,
343
+ "loss": 2.199,
344
+ "step": 190
345
+ },
346
+ {
347
+ "epoch": 1.27,
348
+ "learning_rate": 4.4883116883116884e-05,
349
+ "loss": 2.1948,
350
+ "step": 195
351
+ },
352
+ {
353
+ "epoch": 1.27,
354
+ "eval_accuracy": 0.4127917102055033,
355
+ "eval_loss": 3.8671493530273438,
356
+ "eval_runtime": 17.2222,
357
+ "eval_samples_per_second": 580.645,
358
+ "eval_steps_per_second": 18.174,
359
+ "step": 195
360
+ },
361
+ {
362
+ "epoch": 1.3,
363
+ "learning_rate": 4.4493506493506494e-05,
364
+ "loss": 2.1707,
365
+ "step": 200
366
+ },
367
+ {
368
+ "epoch": 1.33,
369
+ "learning_rate": 4.4103896103896105e-05,
370
+ "loss": 2.1603,
371
+ "step": 205
372
+ },
373
+ {
374
+ "epoch": 1.36,
375
+ "learning_rate": 4.3714285714285715e-05,
376
+ "loss": 2.1735,
377
+ "step": 210
378
+ },
379
+ {
380
+ "epoch": 1.36,
381
+ "eval_accuracy": 0.4157088122605364,
382
+ "eval_loss": 3.863778829574585,
383
+ "eval_runtime": 17.1906,
384
+ "eval_samples_per_second": 581.713,
385
+ "eval_steps_per_second": 18.208,
386
+ "step": 210
387
+ },
388
+ {
389
+ "epoch": 1.39,
390
+ "learning_rate": 4.3324675324675325e-05,
391
+ "loss": 2.1833,
392
+ "step": 215
393
+ },
394
+ {
395
+ "epoch": 1.43,
396
+ "learning_rate": 4.2935064935064936e-05,
397
+ "loss": 2.1442,
398
+ "step": 220
399
+ },
400
+ {
401
+ "epoch": 1.46,
402
+ "learning_rate": 4.2545454545454546e-05,
403
+ "loss": 2.1541,
404
+ "step": 225
405
+ },
406
+ {
407
+ "epoch": 1.46,
408
+ "eval_accuracy": 0.4085249042145594,
409
+ "eval_loss": 3.8899924755096436,
410
+ "eval_runtime": 17.2073,
411
+ "eval_samples_per_second": 581.148,
412
+ "eval_steps_per_second": 18.19,
413
+ "step": 225
414
+ },
415
+ {
416
+ "epoch": 1.49,
417
+ "learning_rate": 4.2155844155844156e-05,
418
+ "loss": 2.1361,
419
+ "step": 230
420
+ },
421
+ {
422
+ "epoch": 1.52,
423
+ "learning_rate": 4.1766233766233767e-05,
424
+ "loss": 2.1254,
425
+ "step": 235
426
+ },
427
+ {
428
+ "epoch": 1.56,
429
+ "learning_rate": 4.137662337662338e-05,
430
+ "loss": 2.1117,
431
+ "step": 240
432
+ },
433
+ {
434
+ "epoch": 1.56,
435
+ "eval_accuracy": 0.414272030651341,
436
+ "eval_loss": 3.9167368412017822,
437
+ "eval_runtime": 17.1975,
438
+ "eval_samples_per_second": 581.48,
439
+ "eval_steps_per_second": 18.2,
440
+ "step": 240
441
+ },
442
+ {
443
+ "epoch": 1.59,
444
+ "learning_rate": 4.098701298701299e-05,
445
+ "loss": 2.1208,
446
+ "step": 245
447
+ },
448
+ {
449
+ "epoch": 1.62,
450
+ "learning_rate": 4.05974025974026e-05,
451
+ "loss": 2.0991,
452
+ "step": 250
453
+ },
454
+ {
455
+ "epoch": 1.65,
456
+ "learning_rate": 4.020779220779221e-05,
457
+ "loss": 2.1094,
458
+ "step": 255
459
+ },
460
+ {
461
+ "epoch": 1.65,
462
+ "eval_accuracy": 0.4169278996865204,
463
+ "eval_loss": 3.8918027877807617,
464
+ "eval_runtime": 17.2198,
465
+ "eval_samples_per_second": 580.727,
466
+ "eval_steps_per_second": 18.177,
467
+ "step": 255
468
+ },
469
+ {
470
+ "epoch": 1.69,
471
+ "learning_rate": 3.9818181818181825e-05,
472
+ "loss": 2.1038,
473
+ "step": 260
474
+ },
475
+ {
476
+ "epoch": 1.72,
477
+ "learning_rate": 3.942857142857143e-05,
478
+ "loss": 2.0806,
479
+ "step": 265
480
+ },
481
+ {
482
+ "epoch": 1.75,
483
+ "learning_rate": 3.9038961038961046e-05,
484
+ "loss": 2.0917,
485
+ "step": 270
486
+ },
487
+ {
488
+ "epoch": 1.75,
489
+ "eval_accuracy": 0.41300940438871475,
490
+ "eval_loss": 3.920091152191162,
491
+ "eval_runtime": 17.181,
492
+ "eval_samples_per_second": 582.037,
493
+ "eval_steps_per_second": 18.218,
494
+ "step": 270
495
+ },
496
+ {
497
+ "epoch": 1.78,
498
+ "learning_rate": 3.864935064935065e-05,
499
+ "loss": 2.0582,
500
+ "step": 275
501
+ },
502
+ {
503
+ "epoch": 1.82,
504
+ "learning_rate": 3.8259740259740266e-05,
505
+ "loss": 2.0541,
506
+ "step": 280
507
+ },
508
+ {
509
+ "epoch": 1.85,
510
+ "learning_rate": 3.787012987012987e-05,
511
+ "loss": 2.0453,
512
+ "step": 285
513
+ },
514
+ {
515
+ "epoch": 1.85,
516
+ "eval_accuracy": 0.41814698711250436,
517
+ "eval_loss": 3.8712852001190186,
518
+ "eval_runtime": 17.1826,
519
+ "eval_samples_per_second": 581.984,
520
+ "eval_steps_per_second": 18.216,
521
+ "step": 285
522
+ },
523
+ {
524
+ "epoch": 1.88,
525
+ "learning_rate": 3.748051948051949e-05,
526
+ "loss": 2.0351,
527
+ "step": 290
528
+ },
529
+ {
530
+ "epoch": 1.91,
531
+ "learning_rate": 3.709090909090909e-05,
532
+ "loss": 2.0527,
533
+ "step": 295
534
+ },
535
+ {
536
+ "epoch": 1.94,
537
+ "learning_rate": 3.670129870129871e-05,
538
+ "loss": 2.0247,
539
+ "step": 300
540
+ },
541
+ {
542
+ "epoch": 1.94,
543
+ "eval_accuracy": 0.41762452107279696,
544
+ "eval_loss": 3.8774173259735107,
545
+ "eval_runtime": 17.2528,
546
+ "eval_samples_per_second": 579.615,
547
+ "eval_steps_per_second": 18.142,
548
+ "step": 300
549
+ },
550
+ {
551
+ "epoch": 1.98,
552
+ "learning_rate": 3.631168831168831e-05,
553
+ "loss": 2.0146,
554
+ "step": 305
555
+ },
556
+ {
557
+ "epoch": 2.01,
558
+ "learning_rate": 3.592207792207792e-05,
559
+ "loss": 2.2296,
560
+ "step": 310
561
+ },
562
+ {
563
+ "epoch": 2.05,
564
+ "learning_rate": 3.553246753246753e-05,
565
+ "loss": 1.9703,
566
+ "step": 315
567
+ },
568
+ {
569
+ "epoch": 2.05,
570
+ "eval_accuracy": 0.4164925113200975,
571
+ "eval_loss": 3.891786813735962,
572
+ "eval_runtime": 17.1846,
573
+ "eval_samples_per_second": 581.915,
574
+ "eval_steps_per_second": 18.214,
575
+ "step": 315
576
+ },
577
+ {
578
+ "epoch": 2.08,
579
+ "learning_rate": 3.514285714285714e-05,
580
+ "loss": 1.9429,
581
+ "step": 320
582
+ },
583
+ {
584
+ "epoch": 2.11,
585
+ "learning_rate": 3.475324675324675e-05,
586
+ "loss": 1.9408,
587
+ "step": 325
588
+ },
589
+ {
590
+ "epoch": 2.14,
591
+ "learning_rate": 3.436363636363636e-05,
592
+ "loss": 1.9492,
593
+ "step": 330
594
+ },
595
+ {
596
+ "epoch": 2.14,
597
+ "eval_accuracy": 0.41610066179031696,
598
+ "eval_loss": 3.928813934326172,
599
+ "eval_runtime": 17.2139,
600
+ "eval_samples_per_second": 580.927,
601
+ "eval_steps_per_second": 18.183,
602
+ "step": 330
603
+ },
604
+ {
605
+ "epoch": 2.17,
606
+ "learning_rate": 3.397402597402597e-05,
607
+ "loss": 1.9459,
608
+ "step": 335
609
+ },
610
+ {
611
+ "epoch": 2.21,
612
+ "learning_rate": 3.3584415584415584e-05,
613
+ "loss": 1.9532,
614
+ "step": 340
615
+ },
616
+ {
617
+ "epoch": 2.24,
618
+ "learning_rate": 3.3194805194805194e-05,
619
+ "loss": 1.9351,
620
+ "step": 345
621
+ },
622
+ {
623
+ "epoch": 2.24,
624
+ "eval_accuracy": 0.4128352490421456,
625
+ "eval_loss": 3.947727680206299,
626
+ "eval_runtime": 17.2191,
627
+ "eval_samples_per_second": 580.75,
628
+ "eval_steps_per_second": 18.177,
629
+ "step": 345
630
+ },
631
+ {
632
+ "epoch": 2.27,
633
+ "learning_rate": 3.2805194805194804e-05,
634
+ "loss": 1.9483,
635
+ "step": 350
636
+ },
637
+ {
638
+ "epoch": 2.3,
639
+ "learning_rate": 3.2415584415584415e-05,
640
+ "loss": 1.9433,
641
+ "step": 355
642
+ },
643
+ {
644
+ "epoch": 2.34,
645
+ "learning_rate": 3.2025974025974025e-05,
646
+ "loss": 1.9001,
647
+ "step": 360
648
+ },
649
+ {
650
+ "epoch": 2.34,
651
+ "eval_accuracy": 0.4186259143155695,
652
+ "eval_loss": 3.9299826622009277,
653
+ "eval_runtime": 17.1998,
654
+ "eval_samples_per_second": 581.401,
655
+ "eval_steps_per_second": 18.198,
656
+ "step": 360
657
+ },
658
+ {
659
+ "epoch": 2.37,
660
+ "learning_rate": 3.1636363636363635e-05,
661
+ "loss": 1.9127,
662
+ "step": 365
663
+ },
664
+ {
665
+ "epoch": 2.4,
666
+ "learning_rate": 3.1246753246753246e-05,
667
+ "loss": 1.9051,
668
+ "step": 370
669
+ },
670
+ {
671
+ "epoch": 2.43,
672
+ "learning_rate": 3.0857142857142856e-05,
673
+ "loss": 1.9082,
674
+ "step": 375
675
+ },
676
+ {
677
+ "epoch": 2.43,
678
+ "eval_accuracy": 0.4161442006269592,
679
+ "eval_loss": 3.9622690677642822,
680
+ "eval_runtime": 17.2078,
681
+ "eval_samples_per_second": 581.133,
682
+ "eval_steps_per_second": 18.189,
683
+ "step": 375
684
+ },
685
+ {
686
+ "epoch": 2.47,
687
+ "learning_rate": 3.046753246753247e-05,
688
+ "loss": 1.8929,
689
+ "step": 380
690
+ },
691
+ {
692
+ "epoch": 2.5,
693
+ "learning_rate": 3.0077922077922077e-05,
694
+ "loss": 1.912,
695
+ "step": 385
696
+ },
697
+ {
698
+ "epoch": 2.53,
699
+ "learning_rate": 2.968831168831169e-05,
700
+ "loss": 1.8804,
701
+ "step": 390
702
+ },
703
+ {
704
+ "epoch": 2.53,
705
+ "eval_accuracy": 0.4174503657262278,
706
+ "eval_loss": 3.9447922706604004,
707
+ "eval_runtime": 17.219,
708
+ "eval_samples_per_second": 580.753,
709
+ "eval_steps_per_second": 18.178,
710
+ "step": 390
711
+ },
712
+ {
713
+ "epoch": 2.56,
714
+ "learning_rate": 2.92987012987013e-05,
715
+ "loss": 1.8821,
716
+ "step": 395
717
+ },
718
+ {
719
+ "epoch": 2.6,
720
+ "learning_rate": 2.890909090909091e-05,
721
+ "loss": 1.8962,
722
+ "step": 400
723
+ },
724
+ {
725
+ "epoch": 2.63,
726
+ "learning_rate": 2.851948051948052e-05,
727
+ "loss": 1.8962,
728
+ "step": 405
729
+ },
730
+ {
731
+ "epoch": 2.63,
732
+ "eval_accuracy": 0.4183646812957158,
733
+ "eval_loss": 3.939225673675537,
734
+ "eval_runtime": 17.2072,
735
+ "eval_samples_per_second": 581.153,
736
+ "eval_steps_per_second": 18.19,
737
+ "step": 405
738
+ },
739
+ {
740
+ "epoch": 2.66,
741
+ "learning_rate": 2.812987012987013e-05,
742
+ "loss": 1.8903,
743
+ "step": 410
744
+ },
745
+ {
746
+ "epoch": 2.69,
747
+ "learning_rate": 2.774025974025974e-05,
748
+ "loss": 1.8881,
749
+ "step": 415
750
+ },
751
+ {
752
+ "epoch": 2.72,
753
+ "learning_rate": 2.735064935064935e-05,
754
+ "loss": 1.884,
755
+ "step": 420
756
+ },
757
+ {
758
+ "epoch": 2.72,
759
+ "eval_accuracy": 0.4125740160222919,
760
+ "eval_loss": 3.95487380027771,
761
+ "eval_runtime": 17.2137,
762
+ "eval_samples_per_second": 580.934,
763
+ "eval_steps_per_second": 18.183,
764
+ "step": 420
765
+ },
766
+ {
767
+ "epoch": 2.76,
768
+ "learning_rate": 2.696103896103896e-05,
769
+ "loss": 1.8694,
770
+ "step": 425
771
+ },
772
+ {
773
+ "epoch": 2.79,
774
+ "learning_rate": 2.657142857142857e-05,
775
+ "loss": 1.872,
776
+ "step": 430
777
+ },
778
+ {
779
+ "epoch": 2.82,
780
+ "learning_rate": 2.618181818181818e-05,
781
+ "loss": 1.8689,
782
+ "step": 435
783
+ },
784
+ {
785
+ "epoch": 2.82,
786
+ "eval_accuracy": 0.4190613026819923,
787
+ "eval_loss": 3.909341812133789,
788
+ "eval_runtime": 17.2189,
789
+ "eval_samples_per_second": 580.758,
790
+ "eval_steps_per_second": 18.178,
791
+ "step": 435
792
+ },
793
+ {
794
+ "epoch": 2.85,
795
+ "learning_rate": 2.579220779220779e-05,
796
+ "loss": 1.877,
797
+ "step": 440
798
+ },
799
+ {
800
+ "epoch": 2.89,
801
+ "learning_rate": 2.54025974025974e-05,
802
+ "loss": 1.8685,
803
+ "step": 445
804
+ },
805
+ {
806
+ "epoch": 2.92,
807
+ "learning_rate": 2.501298701298701e-05,
808
+ "loss": 1.8522,
809
+ "step": 450
810
+ },
811
+ {
812
+ "epoch": 2.92,
813
+ "eval_accuracy": 0.4203239289446186,
814
+ "eval_loss": 3.9448978900909424,
815
+ "eval_runtime": 17.2358,
816
+ "eval_samples_per_second": 580.188,
817
+ "eval_steps_per_second": 18.16,
818
+ "step": 450
819
+ },
820
+ {
821
+ "epoch": 2.95,
822
+ "learning_rate": 2.4623376623376625e-05,
823
+ "loss": 1.8654,
824
+ "step": 455
825
+ },
826
+ {
827
+ "epoch": 2.98,
828
+ "learning_rate": 2.4233766233766235e-05,
829
+ "loss": 1.8605,
830
+ "step": 460
831
+ },
832
+ {
833
+ "epoch": 3.02,
834
+ "learning_rate": 2.3844155844155845e-05,
835
+ "loss": 2.037,
836
+ "step": 465
837
+ },
838
+ {
839
+ "epoch": 3.02,
840
+ "eval_accuracy": 0.41705851619644724,
841
+ "eval_loss": 3.981081008911133,
842
+ "eval_runtime": 17.206,
843
+ "eval_samples_per_second": 581.194,
844
+ "eval_steps_per_second": 18.191,
845
+ "step": 465
846
+ },
847
+ {
848
+ "epoch": 3.05,
849
+ "learning_rate": 2.3454545454545456e-05,
850
+ "loss": 1.8046,
851
+ "step": 470
852
+ },
853
+ {
854
+ "epoch": 3.08,
855
+ "learning_rate": 2.3064935064935066e-05,
856
+ "loss": 1.8011,
857
+ "step": 475
858
+ },
859
+ {
860
+ "epoch": 3.12,
861
+ "learning_rate": 2.2675324675324676e-05,
862
+ "loss": 1.8038,
863
+ "step": 480
864
+ },
865
+ {
866
+ "epoch": 3.12,
867
+ "eval_accuracy": 0.4150992685475444,
868
+ "eval_loss": 3.9613595008850098,
869
+ "eval_runtime": 17.1973,
870
+ "eval_samples_per_second": 581.488,
871
+ "eval_steps_per_second": 18.201,
872
+ "step": 480
873
+ },
874
+ {
875
+ "epoch": 3.15,
876
+ "learning_rate": 2.2285714285714287e-05,
877
+ "loss": 1.8073,
878
+ "step": 485
879
+ },
880
+ {
881
+ "epoch": 3.18,
882
+ "learning_rate": 2.1896103896103897e-05,
883
+ "loss": 1.783,
884
+ "step": 490
885
+ },
886
+ {
887
+ "epoch": 3.21,
888
+ "learning_rate": 2.1506493506493507e-05,
889
+ "loss": 1.805,
890
+ "step": 495
891
+ },
892
+ {
893
+ "epoch": 3.21,
894
+ "eval_accuracy": 0.41819052594914663,
895
+ "eval_loss": 3.9464197158813477,
896
+ "eval_runtime": 17.2204,
897
+ "eval_samples_per_second": 580.705,
898
+ "eval_steps_per_second": 18.176,
899
+ "step": 495
900
+ },
901
+ {
902
+ "epoch": 3.25,
903
+ "learning_rate": 2.1116883116883118e-05,
904
+ "loss": 1.7972,
905
+ "step": 500
906
+ },
907
+ {
908
+ "epoch": 3.28,
909
+ "learning_rate": 2.0727272727272728e-05,
910
+ "loss": 1.7782,
911
+ "step": 505
912
+ },
913
+ {
914
+ "epoch": 3.31,
915
+ "learning_rate": 2.033766233766234e-05,
916
+ "loss": 1.8135,
917
+ "step": 510
918
+ },
919
+ {
920
+ "epoch": 3.31,
921
+ "eval_accuracy": 0.41592650644374785,
922
+ "eval_loss": 3.9678966999053955,
923
+ "eval_runtime": 17.1877,
924
+ "eval_samples_per_second": 581.811,
925
+ "eval_steps_per_second": 18.211,
926
+ "step": 510
927
+ },
928
+ {
929
+ "epoch": 3.34,
930
+ "learning_rate": 1.994805194805195e-05,
931
+ "loss": 1.7835,
932
+ "step": 515
933
+ },
934
+ {
935
+ "epoch": 3.38,
936
+ "learning_rate": 1.955844155844156e-05,
937
+ "loss": 1.782,
938
+ "step": 520
939
+ },
940
+ {
941
+ "epoch": 3.41,
942
+ "learning_rate": 1.916883116883117e-05,
943
+ "loss": 1.7927,
944
+ "step": 525
945
+ },
946
+ {
947
+ "epoch": 3.41,
948
+ "eval_accuracy": 0.419932079414838,
949
+ "eval_loss": 3.9554903507232666,
950
+ "eval_runtime": 17.1692,
951
+ "eval_samples_per_second": 582.437,
952
+ "eval_steps_per_second": 18.23,
953
+ "step": 525
954
+ },
955
+ {
956
+ "epoch": 3.44,
957
+ "learning_rate": 1.877922077922078e-05,
958
+ "loss": 1.7979,
959
+ "step": 530
960
+ },
961
+ {
962
+ "epoch": 3.47,
963
+ "learning_rate": 1.838961038961039e-05,
964
+ "loss": 1.7894,
965
+ "step": 535
966
+ },
967
+ {
968
+ "epoch": 3.5,
969
+ "learning_rate": 1.8e-05,
970
+ "loss": 1.7723,
971
+ "step": 540
972
+ },
973
+ {
974
+ "epoch": 3.5,
975
+ "eval_accuracy": 0.41936607453848834,
976
+ "eval_loss": 3.970630645751953,
977
+ "eval_runtime": 17.1943,
978
+ "eval_samples_per_second": 581.588,
979
+ "eval_steps_per_second": 18.204,
980
+ "step": 540
981
+ },
982
+ {
983
+ "epoch": 3.54,
984
+ "learning_rate": 1.761038961038961e-05,
985
+ "loss": 1.797,
986
+ "step": 545
987
+ },
988
+ {
989
+ "epoch": 3.57,
990
+ "learning_rate": 1.722077922077922e-05,
991
+ "loss": 1.7836,
992
+ "step": 550
993
+ },
994
+ {
995
+ "epoch": 3.6,
996
+ "learning_rate": 1.683116883116883e-05,
997
+ "loss": 1.7893,
998
+ "step": 555
999
+ },
1000
+ {
1001
+ "epoch": 3.6,
1002
+ "eval_accuracy": 0.4174068268895855,
1003
+ "eval_loss": 3.984471321105957,
1004
+ "eval_runtime": 17.1471,
1005
+ "eval_samples_per_second": 583.19,
1006
+ "eval_steps_per_second": 18.254,
1007
+ "step": 555
1008
+ },
1009
+ {
1010
+ "epoch": 3.63,
1011
+ "learning_rate": 1.6441558441558442e-05,
1012
+ "loss": 1.7891,
1013
+ "step": 560
1014
+ },
1015
+ {
1016
+ "epoch": 3.67,
1017
+ "learning_rate": 1.6051948051948052e-05,
1018
+ "loss": 1.7564,
1019
+ "step": 565
1020
+ },
1021
+ {
1022
+ "epoch": 3.7,
1023
+ "learning_rate": 1.5662337662337662e-05,
1024
+ "loss": 1.7725,
1025
+ "step": 570
1026
+ },
1027
+ {
1028
+ "epoch": 3.7,
1029
+ "eval_accuracy": 0.41762452107279696,
1030
+ "eval_loss": 3.9673519134521484,
1031
+ "eval_runtime": 16.8716,
1032
+ "eval_samples_per_second": 592.713,
1033
+ "eval_steps_per_second": 18.552,
1034
+ "step": 570
1035
+ },
1036
+ {
1037
+ "epoch": 3.73,
1038
+ "learning_rate": 1.5272727272727273e-05,
1039
+ "loss": 1.7631,
1040
+ "step": 575
1041
+ },
1042
+ {
1043
+ "epoch": 3.76,
1044
+ "learning_rate": 1.4883116883116883e-05,
1045
+ "loss": 1.7441,
1046
+ "step": 580
1047
+ },
1048
+ {
1049
+ "epoch": 3.8,
1050
+ "learning_rate": 1.4493506493506493e-05,
1051
+ "loss": 1.7721,
1052
+ "step": 585
1053
+ },
1054
+ {
1055
+ "epoch": 3.8,
1056
+ "eval_accuracy": 0.4225879484500174,
1057
+ "eval_loss": 3.9382729530334473,
1058
+ "eval_runtime": 17.13,
1059
+ "eval_samples_per_second": 583.773,
1060
+ "eval_steps_per_second": 18.272,
1061
+ "step": 585
1062
+ },
1063
+ {
1064
+ "epoch": 3.83,
1065
+ "learning_rate": 1.4103896103896104e-05,
1066
+ "loss": 1.7317,
1067
+ "step": 590
1068
+ },
1069
+ {
1070
+ "epoch": 3.86,
1071
+ "learning_rate": 1.3714285714285714e-05,
1072
+ "loss": 1.7738,
1073
+ "step": 595
1074
+ },
1075
+ {
1076
+ "epoch": 3.89,
1077
+ "learning_rate": 1.3324675324675324e-05,
1078
+ "loss": 1.7533,
1079
+ "step": 600
1080
+ },
1081
+ {
1082
+ "epoch": 3.89,
1083
+ "eval_accuracy": 0.4196708463949843,
1084
+ "eval_loss": 3.96612811088562,
1085
+ "eval_runtime": 17.1432,
1086
+ "eval_samples_per_second": 583.32,
1087
+ "eval_steps_per_second": 18.258,
1088
+ "step": 600
1089
+ },
1090
+ {
1091
+ "epoch": 3.93,
1092
+ "learning_rate": 1.2935064935064935e-05,
1093
+ "loss": 1.7658,
1094
+ "step": 605
1095
+ },
1096
+ {
1097
+ "epoch": 3.96,
1098
+ "learning_rate": 1.2545454545454545e-05,
1099
+ "loss": 1.7635,
1100
+ "step": 610
1101
+ },
1102
+ {
1103
+ "epoch": 3.99,
1104
+ "learning_rate": 1.2155844155844157e-05,
1105
+ "loss": 1.7437,
1106
+ "step": 615
1107
+ },
1108
+ {
1109
+ "epoch": 3.99,
1110
+ "eval_accuracy": 0.41910484151863464,
1111
+ "eval_loss": 3.972932815551758,
1112
+ "eval_runtime": 17.2356,
1113
+ "eval_samples_per_second": 580.195,
1114
+ "eval_steps_per_second": 18.16,
1115
+ "step": 615
1116
+ },
1117
+ {
1118
+ "epoch": 4.03,
1119
+ "learning_rate": 1.1766233766233768e-05,
1120
+ "loss": 1.9054,
1121
+ "step": 620
1122
+ },
1123
+ {
1124
+ "epoch": 4.06,
1125
+ "learning_rate": 1.1376623376623378e-05,
1126
+ "loss": 1.7217,
1127
+ "step": 625
1128
+ },
1129
+ {
1130
+ "epoch": 4.09,
1131
+ "learning_rate": 1.0987012987012988e-05,
1132
+ "loss": 1.7418,
1133
+ "step": 630
1134
+ },
1135
+ {
1136
+ "epoch": 4.09,
1137
+ "eval_accuracy": 0.4188000696621386,
1138
+ "eval_loss": 4.000043869018555,
1139
+ "eval_runtime": 17.2412,
1140
+ "eval_samples_per_second": 580.005,
1141
+ "eval_steps_per_second": 18.154,
1142
+ "step": 630
1143
+ },
1144
+ {
1145
+ "epoch": 4.12,
1146
+ "learning_rate": 1.0597402597402599e-05,
1147
+ "loss": 1.6958,
1148
+ "step": 635
1149
+ },
1150
+ {
1151
+ "epoch": 4.16,
1152
+ "learning_rate": 1.0207792207792209e-05,
1153
+ "loss": 1.7156,
1154
+ "step": 640
1155
+ },
1156
+ {
1157
+ "epoch": 4.19,
1158
+ "learning_rate": 9.81818181818182e-06,
1159
+ "loss": 1.7237,
1160
+ "step": 645
1161
+ },
1162
+ {
1163
+ "epoch": 4.19,
1164
+ "eval_accuracy": 0.42106408916753746,
1165
+ "eval_loss": 3.971540927886963,
1166
+ "eval_runtime": 17.1943,
1167
+ "eval_samples_per_second": 581.589,
1168
+ "eval_steps_per_second": 18.204,
1169
+ "step": 645
1170
+ },
1171
+ {
1172
+ "epoch": 4.22,
1173
+ "learning_rate": 9.428571428571428e-06,
1174
+ "loss": 1.7111,
1175
+ "step": 650
1176
+ },
1177
+ {
1178
+ "epoch": 4.25,
1179
+ "learning_rate": 9.038961038961038e-06,
1180
+ "loss": 1.7228,
1181
+ "step": 655
1182
+ },
1183
+ {
1184
+ "epoch": 4.28,
1185
+ "learning_rate": 8.649350649350649e-06,
1186
+ "loss": 1.7029,
1187
+ "step": 660
1188
+ },
1189
+ {
1190
+ "epoch": 4.28,
1191
+ "eval_accuracy": 0.41919191919191917,
1192
+ "eval_loss": 4.000442981719971,
1193
+ "eval_runtime": 17.2363,
1194
+ "eval_samples_per_second": 580.172,
1195
+ "eval_steps_per_second": 18.159,
1196
+ "step": 660
1197
+ },
1198
+ {
1199
+ "epoch": 4.32,
1200
+ "learning_rate": 8.259740259740259e-06,
1201
+ "loss": 1.7336,
1202
+ "step": 665
1203
+ },
1204
+ {
1205
+ "epoch": 4.35,
1206
+ "learning_rate": 7.87012987012987e-06,
1207
+ "loss": 1.7146,
1208
+ "step": 670
1209
+ },
1210
+ {
1211
+ "epoch": 4.38,
1212
+ "learning_rate": 7.48051948051948e-06,
1213
+ "loss": 1.7096,
1214
+ "step": 675
1215
+ },
1216
+ {
1217
+ "epoch": 4.38,
1218
+ "eval_accuracy": 0.4215430163706026,
1219
+ "eval_loss": 3.9922502040863037,
1220
+ "eval_runtime": 17.1842,
1221
+ "eval_samples_per_second": 581.93,
1222
+ "eval_steps_per_second": 18.214,
1223
+ "step": 675
1224
+ },
1225
+ {
1226
+ "epoch": 4.41,
1227
+ "learning_rate": 7.090909090909091e-06,
1228
+ "loss": 1.7183,
1229
+ "step": 680
1230
+ },
1231
+ {
1232
+ "epoch": 4.45,
1233
+ "learning_rate": 6.701298701298701e-06,
1234
+ "loss": 1.7323,
1235
+ "step": 685
1236
+ },
1237
+ {
1238
+ "epoch": 4.48,
1239
+ "learning_rate": 6.311688311688311e-06,
1240
+ "loss": 1.7087,
1241
+ "step": 690
1242
+ },
1243
+ {
1244
+ "epoch": 4.48,
1245
+ "eval_accuracy": 0.42254440961337514,
1246
+ "eval_loss": 3.9751763343811035,
1247
+ "eval_runtime": 17.2048,
1248
+ "eval_samples_per_second": 581.233,
1249
+ "eval_steps_per_second": 18.193,
1250
+ "step": 690
1251
+ },
1252
+ {
1253
+ "epoch": 4.51,
1254
+ "learning_rate": 5.9220779220779226e-06,
1255
+ "loss": 1.7267,
1256
+ "step": 695
1257
+ },
1258
+ {
1259
+ "epoch": 4.54,
1260
+ "learning_rate": 5.532467532467533e-06,
1261
+ "loss": 1.6924,
1262
+ "step": 700
1263
+ },
1264
+ {
1265
+ "epoch": 4.58,
1266
+ "learning_rate": 5.142857142857143e-06,
1267
+ "loss": 1.7101,
1268
+ "step": 705
1269
+ },
1270
+ {
1271
+ "epoch": 4.58,
1272
+ "eval_accuracy": 0.42080285614768376,
1273
+ "eval_loss": 3.9924566745758057,
1274
+ "eval_runtime": 17.2206,
1275
+ "eval_samples_per_second": 580.699,
1276
+ "eval_steps_per_second": 18.176,
1277
+ "step": 705
1278
+ },
1279
+ {
1280
+ "epoch": 4.61,
1281
+ "learning_rate": 4.7532467532467536e-06,
1282
+ "loss": 1.7133,
1283
+ "step": 710
1284
+ },
1285
+ {
1286
+ "epoch": 4.64,
1287
+ "learning_rate": 4.363636363636364e-06,
1288
+ "loss": 1.7042,
1289
+ "step": 715
1290
+ },
1291
+ {
1292
+ "epoch": 4.67,
1293
+ "learning_rate": 3.974025974025973e-06,
1294
+ "loss": 1.7061,
1295
+ "step": 720
1296
+ },
1297
+ {
1298
+ "epoch": 4.67,
1299
+ "eval_accuracy": 0.4183211424590735,
1300
+ "eval_loss": 3.9925851821899414,
1301
+ "eval_runtime": 17.1622,
1302
+ "eval_samples_per_second": 582.675,
1303
+ "eval_steps_per_second": 18.238,
1304
+ "step": 720
1305
+ },
1306
+ {
1307
+ "epoch": 4.71,
1308
+ "learning_rate": 3.5844155844155846e-06,
1309
+ "loss": 1.7194,
1310
+ "step": 725
1311
+ },
1312
+ {
1313
+ "epoch": 4.74,
1314
+ "learning_rate": 3.194805194805195e-06,
1315
+ "loss": 1.7283,
1316
+ "step": 730
1317
+ },
1318
+ {
1319
+ "epoch": 4.77,
1320
+ "learning_rate": 2.8051948051948052e-06,
1321
+ "loss": 1.7227,
1322
+ "step": 735
1323
+ },
1324
+ {
1325
+ "epoch": 4.77,
1326
+ "eval_accuracy": 0.41671020550330895,
1327
+ "eval_loss": 4.021413326263428,
1328
+ "eval_runtime": 17.2026,
1329
+ "eval_samples_per_second": 581.308,
1330
+ "eval_steps_per_second": 18.195,
1331
+ "step": 735
1332
+ },
1333
+ {
1334
+ "epoch": 4.77,
1335
+ "step": 735,
1336
+ "total_flos": 4.8027460072854234e+17,
1337
+ "train_loss": 2.085782461101506,
1338
+ "train_runtime": 24097.4857,
1339
+ "train_samples_per_second": 256.517,
1340
+ "train_steps_per_second": 0.032
1341
+ },
1342
+ {
1343
+ "epoch": 4.77,
1344
+ "eval_accuracy": 0.4171891327063741,
1345
+ "eval_loss": 3.979358434677124,
1346
+ "eval_runtime": 17.2044,
1347
+ "eval_samples_per_second": 581.246,
1348
+ "eval_steps_per_second": 18.193,
1349
+ "step": 735
1350
+ }
1351
+ ],
1352
+ "max_steps": 770,
1353
+ "num_train_epochs": 5,
1354
+ "total_flos": 4.8027460072854234e+17,
1355
+ "trial_name": null,
1356
+ "trial_params": null
1357
+ }