Joy28 commited on
Commit
ce170ed
1 Parent(s): f73feb6

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 49.01,
3
+ "eval_accuracy": 0.7268518518518519,
4
+ "eval_loss": 0.7417604923248291,
5
+ "eval_runtime": 287.1389,
6
+ "eval_samples_per_second": 0.752,
7
+ "eval_steps_per_second": 0.094
8
+ }
runs/Jan04_13-50-37_DESKTOP-M04OTBM/events.out.tfevents.1704419031.DESKTOP-M04OTBM.10656.1 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6cf48249178a22dc387b72a8fe9ccff993b5c7df2385645c5b8b7786b9c52635
3
- size 411
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67b9950c017939cb4b5d31dd750a4d03a5f30814441b5a0fab3ae844166bb273
3
+ size 734
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 49.01,
3
+ "eval_accuracy": 0.7268518518518519,
4
+ "eval_loss": 0.7417604923248291,
5
+ "eval_runtime": 287.1389,
6
+ "eval_samples_per_second": 0.752,
7
+ "eval_steps_per_second": 0.094
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2158 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7926267281105991,
3
+ "best_model_checkpoint": "videomae-base-finetuned-ucf101-subset-finetuned-subset-0401\\checkpoint-1568",
4
+ "epoch": 49.01117117117117,
5
+ "eval_steps": 500,
6
+ "global_step": 2775,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 1.7985611510791366e-06,
14
+ "loss": 1.7601,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 3.5971223021582732e-06,
20
+ "loss": 1.5976,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 5.3956834532374105e-06,
26
+ "loss": 1.6228,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 7.1942446043165465e-06,
32
+ "loss": 1.6085,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 8.992805755395683e-06,
38
+ "loss": 1.6151,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "eval_accuracy": 0.29493087557603687,
44
+ "eval_loss": 1.5566521883010864,
45
+ "eval_runtime": 274.0018,
46
+ "eval_samples_per_second": 0.792,
47
+ "eval_steps_per_second": 0.102,
48
+ "step": 56
49
+ },
50
+ {
51
+ "epoch": 1.0,
52
+ "learning_rate": 1.0791366906474821e-05,
53
+ "loss": 1.5422,
54
+ "step": 60
55
+ },
56
+ {
57
+ "epoch": 1.01,
58
+ "learning_rate": 1.2589928057553957e-05,
59
+ "loss": 1.525,
60
+ "step": 70
61
+ },
62
+ {
63
+ "epoch": 1.01,
64
+ "learning_rate": 1.4388489208633093e-05,
65
+ "loss": 1.4889,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 1.01,
70
+ "learning_rate": 1.618705035971223e-05,
71
+ "loss": 1.4371,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 1.02,
76
+ "learning_rate": 1.7985611510791367e-05,
77
+ "loss": 1.3412,
78
+ "step": 100
79
+ },
80
+ {
81
+ "epoch": 1.02,
82
+ "learning_rate": 1.9784172661870504e-05,
83
+ "loss": 1.3399,
84
+ "step": 110
85
+ },
86
+ {
87
+ "epoch": 1.02,
88
+ "eval_accuracy": 0.3824884792626728,
89
+ "eval_loss": 1.292936086654663,
90
+ "eval_runtime": 271.8695,
91
+ "eval_samples_per_second": 0.798,
92
+ "eval_steps_per_second": 0.103,
93
+ "step": 112
94
+ },
95
+ {
96
+ "epoch": 2.0,
97
+ "learning_rate": 2.1582733812949642e-05,
98
+ "loss": 1.2695,
99
+ "step": 120
100
+ },
101
+ {
102
+ "epoch": 2.01,
103
+ "learning_rate": 2.3381294964028776e-05,
104
+ "loss": 1.468,
105
+ "step": 130
106
+ },
107
+ {
108
+ "epoch": 2.01,
109
+ "learning_rate": 2.5179856115107914e-05,
110
+ "loss": 1.3363,
111
+ "step": 140
112
+ },
113
+ {
114
+ "epoch": 2.01,
115
+ "learning_rate": 2.697841726618705e-05,
116
+ "loss": 1.3674,
117
+ "step": 150
118
+ },
119
+ {
120
+ "epoch": 2.02,
121
+ "learning_rate": 2.8776978417266186e-05,
122
+ "loss": 1.2751,
123
+ "step": 160
124
+ },
125
+ {
126
+ "epoch": 2.02,
127
+ "eval_accuracy": 0.31336405529953915,
128
+ "eval_loss": 1.4618359804153442,
129
+ "eval_runtime": 266.4685,
130
+ "eval_samples_per_second": 0.814,
131
+ "eval_steps_per_second": 0.105,
132
+ "step": 168
133
+ },
134
+ {
135
+ "epoch": 3.0,
136
+ "learning_rate": 3.0575539568345324e-05,
137
+ "loss": 1.2817,
138
+ "step": 170
139
+ },
140
+ {
141
+ "epoch": 3.0,
142
+ "learning_rate": 3.237410071942446e-05,
143
+ "loss": 1.1931,
144
+ "step": 180
145
+ },
146
+ {
147
+ "epoch": 3.01,
148
+ "learning_rate": 3.41726618705036e-05,
149
+ "loss": 1.2165,
150
+ "step": 190
151
+ },
152
+ {
153
+ "epoch": 3.01,
154
+ "learning_rate": 3.597122302158273e-05,
155
+ "loss": 1.1886,
156
+ "step": 200
157
+ },
158
+ {
159
+ "epoch": 3.02,
160
+ "learning_rate": 3.776978417266187e-05,
161
+ "loss": 1.1798,
162
+ "step": 210
163
+ },
164
+ {
165
+ "epoch": 3.02,
166
+ "learning_rate": 3.956834532374101e-05,
167
+ "loss": 1.3725,
168
+ "step": 220
169
+ },
170
+ {
171
+ "epoch": 3.02,
172
+ "eval_accuracy": 0.6497695852534562,
173
+ "eval_loss": 0.9079896211624146,
174
+ "eval_runtime": 274.4774,
175
+ "eval_samples_per_second": 0.791,
176
+ "eval_steps_per_second": 0.102,
177
+ "step": 224
178
+ },
179
+ {
180
+ "epoch": 4.0,
181
+ "learning_rate": 4.136690647482014e-05,
182
+ "loss": 1.1989,
183
+ "step": 230
184
+ },
185
+ {
186
+ "epoch": 4.01,
187
+ "learning_rate": 4.3165467625899284e-05,
188
+ "loss": 1.162,
189
+ "step": 240
190
+ },
191
+ {
192
+ "epoch": 4.01,
193
+ "learning_rate": 4.496402877697842e-05,
194
+ "loss": 1.0652,
195
+ "step": 250
196
+ },
197
+ {
198
+ "epoch": 4.01,
199
+ "learning_rate": 4.676258992805755e-05,
200
+ "loss": 1.0403,
201
+ "step": 260
202
+ },
203
+ {
204
+ "epoch": 4.02,
205
+ "learning_rate": 4.8561151079136694e-05,
206
+ "loss": 1.0948,
207
+ "step": 270
208
+ },
209
+ {
210
+ "epoch": 4.02,
211
+ "learning_rate": 4.9959951942330803e-05,
212
+ "loss": 1.0782,
213
+ "step": 280
214
+ },
215
+ {
216
+ "epoch": 4.02,
217
+ "eval_accuracy": 0.5299539170506913,
218
+ "eval_loss": 1.1473454236984253,
219
+ "eval_runtime": 276.687,
220
+ "eval_samples_per_second": 0.784,
221
+ "eval_steps_per_second": 0.101,
222
+ "step": 280
223
+ },
224
+ {
225
+ "epoch": 5.0,
226
+ "learning_rate": 4.975971165398479e-05,
227
+ "loss": 1.211,
228
+ "step": 290
229
+ },
230
+ {
231
+ "epoch": 5.01,
232
+ "learning_rate": 4.955947136563877e-05,
233
+ "loss": 1.1643,
234
+ "step": 300
235
+ },
236
+ {
237
+ "epoch": 5.01,
238
+ "learning_rate": 4.935923107729276e-05,
239
+ "loss": 1.2066,
240
+ "step": 310
241
+ },
242
+ {
243
+ "epoch": 5.01,
244
+ "learning_rate": 4.915899078894674e-05,
245
+ "loss": 1.0381,
246
+ "step": 320
247
+ },
248
+ {
249
+ "epoch": 5.02,
250
+ "learning_rate": 4.895875050060073e-05,
251
+ "loss": 1.1514,
252
+ "step": 330
253
+ },
254
+ {
255
+ "epoch": 5.02,
256
+ "eval_accuracy": 0.6359447004608295,
257
+ "eval_loss": 0.8952929377555847,
258
+ "eval_runtime": 268.376,
259
+ "eval_samples_per_second": 0.809,
260
+ "eval_steps_per_second": 0.104,
261
+ "step": 336
262
+ },
263
+ {
264
+ "epoch": 6.0,
265
+ "learning_rate": 4.875851021225471e-05,
266
+ "loss": 1.2202,
267
+ "step": 340
268
+ },
269
+ {
270
+ "epoch": 6.01,
271
+ "learning_rate": 4.8558269923908696e-05,
272
+ "loss": 1.0416,
273
+ "step": 350
274
+ },
275
+ {
276
+ "epoch": 6.01,
277
+ "learning_rate": 4.835802963556268e-05,
278
+ "loss": 1.0473,
279
+ "step": 360
280
+ },
281
+ {
282
+ "epoch": 6.01,
283
+ "learning_rate": 4.8157789347216665e-05,
284
+ "loss": 1.011,
285
+ "step": 370
286
+ },
287
+ {
288
+ "epoch": 6.02,
289
+ "learning_rate": 4.795754905887065e-05,
290
+ "loss": 0.9304,
291
+ "step": 380
292
+ },
293
+ {
294
+ "epoch": 6.02,
295
+ "learning_rate": 4.7757308770524635e-05,
296
+ "loss": 1.0593,
297
+ "step": 390
298
+ },
299
+ {
300
+ "epoch": 6.02,
301
+ "eval_accuracy": 0.4608294930875576,
302
+ "eval_loss": 1.3371587991714478,
303
+ "eval_runtime": 270.4609,
304
+ "eval_samples_per_second": 0.802,
305
+ "eval_steps_per_second": 0.104,
306
+ "step": 392
307
+ },
308
+ {
309
+ "epoch": 7.0,
310
+ "learning_rate": 4.755706848217862e-05,
311
+ "loss": 1.1446,
312
+ "step": 400
313
+ },
314
+ {
315
+ "epoch": 7.01,
316
+ "learning_rate": 4.7356828193832604e-05,
317
+ "loss": 0.9072,
318
+ "step": 410
319
+ },
320
+ {
321
+ "epoch": 7.01,
322
+ "learning_rate": 4.715658790548659e-05,
323
+ "loss": 1.0265,
324
+ "step": 420
325
+ },
326
+ {
327
+ "epoch": 7.01,
328
+ "learning_rate": 4.6956347617140574e-05,
329
+ "loss": 1.2447,
330
+ "step": 430
331
+ },
332
+ {
333
+ "epoch": 7.02,
334
+ "learning_rate": 4.675610732879456e-05,
335
+ "loss": 1.1193,
336
+ "step": 440
337
+ },
338
+ {
339
+ "epoch": 7.02,
340
+ "eval_accuracy": 0.631336405529954,
341
+ "eval_loss": 0.9654818177223206,
342
+ "eval_runtime": 278.2137,
343
+ "eval_samples_per_second": 0.78,
344
+ "eval_steps_per_second": 0.101,
345
+ "step": 448
346
+ },
347
+ {
348
+ "epoch": 8.0,
349
+ "learning_rate": 4.655586704044854e-05,
350
+ "loss": 1.1604,
351
+ "step": 450
352
+ },
353
+ {
354
+ "epoch": 8.0,
355
+ "learning_rate": 4.635562675210253e-05,
356
+ "loss": 0.9825,
357
+ "step": 460
358
+ },
359
+ {
360
+ "epoch": 8.01,
361
+ "learning_rate": 4.615538646375651e-05,
362
+ "loss": 0.9826,
363
+ "step": 470
364
+ },
365
+ {
366
+ "epoch": 8.01,
367
+ "learning_rate": 4.59551461754105e-05,
368
+ "loss": 1.1202,
369
+ "step": 480
370
+ },
371
+ {
372
+ "epoch": 8.02,
373
+ "learning_rate": 4.575490588706448e-05,
374
+ "loss": 0.8152,
375
+ "step": 490
376
+ },
377
+ {
378
+ "epoch": 8.02,
379
+ "learning_rate": 4.5554665598718466e-05,
380
+ "loss": 0.719,
381
+ "step": 500
382
+ },
383
+ {
384
+ "epoch": 8.02,
385
+ "eval_accuracy": 0.6728110599078341,
386
+ "eval_loss": 0.8527050018310547,
387
+ "eval_runtime": 277.8107,
388
+ "eval_samples_per_second": 0.781,
389
+ "eval_steps_per_second": 0.101,
390
+ "step": 504
391
+ },
392
+ {
393
+ "epoch": 9.0,
394
+ "learning_rate": 4.535442531037245e-05,
395
+ "loss": 0.8601,
396
+ "step": 510
397
+ },
398
+ {
399
+ "epoch": 9.01,
400
+ "learning_rate": 4.5154185022026436e-05,
401
+ "loss": 1.1352,
402
+ "step": 520
403
+ },
404
+ {
405
+ "epoch": 9.01,
406
+ "learning_rate": 4.495394473368042e-05,
407
+ "loss": 0.9668,
408
+ "step": 530
409
+ },
410
+ {
411
+ "epoch": 9.01,
412
+ "learning_rate": 4.4753704445334405e-05,
413
+ "loss": 0.7672,
414
+ "step": 540
415
+ },
416
+ {
417
+ "epoch": 9.02,
418
+ "learning_rate": 4.455346415698839e-05,
419
+ "loss": 0.7687,
420
+ "step": 550
421
+ },
422
+ {
423
+ "epoch": 9.02,
424
+ "learning_rate": 4.4353223868642374e-05,
425
+ "loss": 1.0157,
426
+ "step": 560
427
+ },
428
+ {
429
+ "epoch": 9.02,
430
+ "eval_accuracy": 0.5023041474654378,
431
+ "eval_loss": 1.2763272523880005,
432
+ "eval_runtime": 272.8951,
433
+ "eval_samples_per_second": 0.795,
434
+ "eval_steps_per_second": 0.103,
435
+ "step": 560
436
+ },
437
+ {
438
+ "epoch": 10.0,
439
+ "learning_rate": 4.415298358029636e-05,
440
+ "loss": 0.9306,
441
+ "step": 570
442
+ },
443
+ {
444
+ "epoch": 10.01,
445
+ "learning_rate": 4.3952743291950344e-05,
446
+ "loss": 0.9805,
447
+ "step": 580
448
+ },
449
+ {
450
+ "epoch": 10.01,
451
+ "learning_rate": 4.375250300360433e-05,
452
+ "loss": 0.9256,
453
+ "step": 590
454
+ },
455
+ {
456
+ "epoch": 10.01,
457
+ "learning_rate": 4.355226271525831e-05,
458
+ "loss": 0.8119,
459
+ "step": 600
460
+ },
461
+ {
462
+ "epoch": 10.02,
463
+ "learning_rate": 4.33520224269123e-05,
464
+ "loss": 0.6991,
465
+ "step": 610
466
+ },
467
+ {
468
+ "epoch": 10.02,
469
+ "eval_accuracy": 0.6405529953917051,
470
+ "eval_loss": 0.8840082287788391,
471
+ "eval_runtime": 280.3211,
472
+ "eval_samples_per_second": 0.774,
473
+ "eval_steps_per_second": 0.1,
474
+ "step": 616
475
+ },
476
+ {
477
+ "epoch": 11.0,
478
+ "learning_rate": 4.315178213856628e-05,
479
+ "loss": 0.8636,
480
+ "step": 620
481
+ },
482
+ {
483
+ "epoch": 11.01,
484
+ "learning_rate": 4.295154185022027e-05,
485
+ "loss": 0.7816,
486
+ "step": 630
487
+ },
488
+ {
489
+ "epoch": 11.01,
490
+ "learning_rate": 4.275130156187425e-05,
491
+ "loss": 0.8792,
492
+ "step": 640
493
+ },
494
+ {
495
+ "epoch": 11.01,
496
+ "learning_rate": 4.2551061273528236e-05,
497
+ "loss": 0.712,
498
+ "step": 650
499
+ },
500
+ {
501
+ "epoch": 11.02,
502
+ "learning_rate": 4.235082098518222e-05,
503
+ "loss": 0.7734,
504
+ "step": 660
505
+ },
506
+ {
507
+ "epoch": 11.02,
508
+ "learning_rate": 4.2150580696836206e-05,
509
+ "loss": 0.9019,
510
+ "step": 670
511
+ },
512
+ {
513
+ "epoch": 11.02,
514
+ "eval_accuracy": 0.663594470046083,
515
+ "eval_loss": 0.8940696716308594,
516
+ "eval_runtime": 279.8573,
517
+ "eval_samples_per_second": 0.775,
518
+ "eval_steps_per_second": 0.1,
519
+ "step": 672
520
+ },
521
+ {
522
+ "epoch": 12.0,
523
+ "learning_rate": 4.195034040849019e-05,
524
+ "loss": 0.7887,
525
+ "step": 680
526
+ },
527
+ {
528
+ "epoch": 12.01,
529
+ "learning_rate": 4.1750100120144175e-05,
530
+ "loss": 0.8002,
531
+ "step": 690
532
+ },
533
+ {
534
+ "epoch": 12.01,
535
+ "learning_rate": 4.154985983179816e-05,
536
+ "loss": 0.831,
537
+ "step": 700
538
+ },
539
+ {
540
+ "epoch": 12.01,
541
+ "learning_rate": 4.1349619543452144e-05,
542
+ "loss": 0.7228,
543
+ "step": 710
544
+ },
545
+ {
546
+ "epoch": 12.02,
547
+ "learning_rate": 4.114937925510613e-05,
548
+ "loss": 0.7456,
549
+ "step": 720
550
+ },
551
+ {
552
+ "epoch": 12.02,
553
+ "eval_accuracy": 0.6036866359447005,
554
+ "eval_loss": 1.0455368757247925,
555
+ "eval_runtime": 274.8884,
556
+ "eval_samples_per_second": 0.789,
557
+ "eval_steps_per_second": 0.102,
558
+ "step": 728
559
+ },
560
+ {
561
+ "epoch": 13.0,
562
+ "learning_rate": 4.0949138966760114e-05,
563
+ "loss": 0.9421,
564
+ "step": 730
565
+ },
566
+ {
567
+ "epoch": 13.0,
568
+ "learning_rate": 4.07488986784141e-05,
569
+ "loss": 0.7592,
570
+ "step": 740
571
+ },
572
+ {
573
+ "epoch": 13.01,
574
+ "learning_rate": 4.054865839006808e-05,
575
+ "loss": 0.8108,
576
+ "step": 750
577
+ },
578
+ {
579
+ "epoch": 13.01,
580
+ "learning_rate": 4.034841810172207e-05,
581
+ "loss": 0.9203,
582
+ "step": 760
583
+ },
584
+ {
585
+ "epoch": 13.02,
586
+ "learning_rate": 4.014817781337605e-05,
587
+ "loss": 0.8958,
588
+ "step": 770
589
+ },
590
+ {
591
+ "epoch": 13.02,
592
+ "learning_rate": 3.994793752503004e-05,
593
+ "loss": 0.6631,
594
+ "step": 780
595
+ },
596
+ {
597
+ "epoch": 13.02,
598
+ "eval_accuracy": 0.7557603686635944,
599
+ "eval_loss": 0.6456125974655151,
600
+ "eval_runtime": 277.0195,
601
+ "eval_samples_per_second": 0.783,
602
+ "eval_steps_per_second": 0.101,
603
+ "step": 784
604
+ },
605
+ {
606
+ "epoch": 14.0,
607
+ "learning_rate": 3.974769723668402e-05,
608
+ "loss": 0.8673,
609
+ "step": 790
610
+ },
611
+ {
612
+ "epoch": 14.01,
613
+ "learning_rate": 3.9547456948338006e-05,
614
+ "loss": 0.8763,
615
+ "step": 800
616
+ },
617
+ {
618
+ "epoch": 14.01,
619
+ "learning_rate": 3.934721665999199e-05,
620
+ "loss": 0.8349,
621
+ "step": 810
622
+ },
623
+ {
624
+ "epoch": 14.01,
625
+ "learning_rate": 3.9146976371645976e-05,
626
+ "loss": 0.8159,
627
+ "step": 820
628
+ },
629
+ {
630
+ "epoch": 14.02,
631
+ "learning_rate": 3.894673608329996e-05,
632
+ "loss": 0.7039,
633
+ "step": 830
634
+ },
635
+ {
636
+ "epoch": 14.02,
637
+ "learning_rate": 3.8746495794953945e-05,
638
+ "loss": 0.7143,
639
+ "step": 840
640
+ },
641
+ {
642
+ "epoch": 14.02,
643
+ "eval_accuracy": 0.6682027649769585,
644
+ "eval_loss": 0.8886568546295166,
645
+ "eval_runtime": 286.2633,
646
+ "eval_samples_per_second": 0.758,
647
+ "eval_steps_per_second": 0.098,
648
+ "step": 840
649
+ },
650
+ {
651
+ "epoch": 15.0,
652
+ "learning_rate": 3.854625550660793e-05,
653
+ "loss": 0.8193,
654
+ "step": 850
655
+ },
656
+ {
657
+ "epoch": 15.01,
658
+ "learning_rate": 3.8346015218261915e-05,
659
+ "loss": 0.8348,
660
+ "step": 860
661
+ },
662
+ {
663
+ "epoch": 15.01,
664
+ "learning_rate": 3.81457749299159e-05,
665
+ "loss": 0.7888,
666
+ "step": 870
667
+ },
668
+ {
669
+ "epoch": 15.01,
670
+ "learning_rate": 3.7945534641569884e-05,
671
+ "loss": 0.6679,
672
+ "step": 880
673
+ },
674
+ {
675
+ "epoch": 15.02,
676
+ "learning_rate": 3.774529435322387e-05,
677
+ "loss": 0.6639,
678
+ "step": 890
679
+ },
680
+ {
681
+ "epoch": 15.02,
682
+ "eval_accuracy": 0.7603686635944701,
683
+ "eval_loss": 0.686262845993042,
684
+ "eval_runtime": 285.4117,
685
+ "eval_samples_per_second": 0.76,
686
+ "eval_steps_per_second": 0.098,
687
+ "step": 896
688
+ },
689
+ {
690
+ "epoch": 16.0,
691
+ "learning_rate": 3.754505406487785e-05,
692
+ "loss": 0.613,
693
+ "step": 900
694
+ },
695
+ {
696
+ "epoch": 16.01,
697
+ "learning_rate": 3.734481377653184e-05,
698
+ "loss": 0.6563,
699
+ "step": 910
700
+ },
701
+ {
702
+ "epoch": 16.01,
703
+ "learning_rate": 3.714457348818582e-05,
704
+ "loss": 0.6923,
705
+ "step": 920
706
+ },
707
+ {
708
+ "epoch": 16.01,
709
+ "learning_rate": 3.694433319983981e-05,
710
+ "loss": 0.7364,
711
+ "step": 930
712
+ },
713
+ {
714
+ "epoch": 16.02,
715
+ "learning_rate": 3.674409291149379e-05,
716
+ "loss": 0.6295,
717
+ "step": 940
718
+ },
719
+ {
720
+ "epoch": 16.02,
721
+ "learning_rate": 3.6543852623147777e-05,
722
+ "loss": 0.5195,
723
+ "step": 950
724
+ },
725
+ {
726
+ "epoch": 16.02,
727
+ "eval_accuracy": 0.6221198156682027,
728
+ "eval_loss": 0.9474737644195557,
729
+ "eval_runtime": 276.3588,
730
+ "eval_samples_per_second": 0.785,
731
+ "eval_steps_per_second": 0.101,
732
+ "step": 952
733
+ },
734
+ {
735
+ "epoch": 17.0,
736
+ "learning_rate": 3.634361233480176e-05,
737
+ "loss": 0.6942,
738
+ "step": 960
739
+ },
740
+ {
741
+ "epoch": 17.01,
742
+ "learning_rate": 3.6143372046455746e-05,
743
+ "loss": 0.6058,
744
+ "step": 970
745
+ },
746
+ {
747
+ "epoch": 17.01,
748
+ "learning_rate": 3.594313175810973e-05,
749
+ "loss": 0.6432,
750
+ "step": 980
751
+ },
752
+ {
753
+ "epoch": 17.01,
754
+ "learning_rate": 3.5742891469763715e-05,
755
+ "loss": 0.7314,
756
+ "step": 990
757
+ },
758
+ {
759
+ "epoch": 17.02,
760
+ "learning_rate": 3.55426511814177e-05,
761
+ "loss": 0.9211,
762
+ "step": 1000
763
+ },
764
+ {
765
+ "epoch": 17.02,
766
+ "eval_accuracy": 0.7373271889400922,
767
+ "eval_loss": 0.7338827848434448,
768
+ "eval_runtime": 290.88,
769
+ "eval_samples_per_second": 0.746,
770
+ "eval_steps_per_second": 0.096,
771
+ "step": 1008
772
+ },
773
+ {
774
+ "epoch": 18.0,
775
+ "learning_rate": 3.5342410893071685e-05,
776
+ "loss": 0.8028,
777
+ "step": 1010
778
+ },
779
+ {
780
+ "epoch": 18.0,
781
+ "learning_rate": 3.514217060472567e-05,
782
+ "loss": 0.8868,
783
+ "step": 1020
784
+ },
785
+ {
786
+ "epoch": 18.01,
787
+ "learning_rate": 3.4941930316379654e-05,
788
+ "loss": 0.6356,
789
+ "step": 1030
790
+ },
791
+ {
792
+ "epoch": 18.01,
793
+ "learning_rate": 3.474169002803364e-05,
794
+ "loss": 0.761,
795
+ "step": 1040
796
+ },
797
+ {
798
+ "epoch": 18.02,
799
+ "learning_rate": 3.454144973968762e-05,
800
+ "loss": 0.6927,
801
+ "step": 1050
802
+ },
803
+ {
804
+ "epoch": 18.02,
805
+ "learning_rate": 3.434120945134161e-05,
806
+ "loss": 0.5328,
807
+ "step": 1060
808
+ },
809
+ {
810
+ "epoch": 18.02,
811
+ "eval_accuracy": 0.6543778801843319,
812
+ "eval_loss": 0.9085342288017273,
813
+ "eval_runtime": 286.8458,
814
+ "eval_samples_per_second": 0.757,
815
+ "eval_steps_per_second": 0.098,
816
+ "step": 1064
817
+ },
818
+ {
819
+ "epoch": 19.0,
820
+ "learning_rate": 3.414096916299559e-05,
821
+ "loss": 0.5897,
822
+ "step": 1070
823
+ },
824
+ {
825
+ "epoch": 19.01,
826
+ "learning_rate": 3.394072887464958e-05,
827
+ "loss": 0.828,
828
+ "step": 1080
829
+ },
830
+ {
831
+ "epoch": 19.01,
832
+ "learning_rate": 3.374048858630356e-05,
833
+ "loss": 0.645,
834
+ "step": 1090
835
+ },
836
+ {
837
+ "epoch": 19.01,
838
+ "learning_rate": 3.354024829795755e-05,
839
+ "loss": 0.5495,
840
+ "step": 1100
841
+ },
842
+ {
843
+ "epoch": 19.02,
844
+ "learning_rate": 3.334000800961153e-05,
845
+ "loss": 0.8181,
846
+ "step": 1110
847
+ },
848
+ {
849
+ "epoch": 19.02,
850
+ "learning_rate": 3.3139767721265516e-05,
851
+ "loss": 0.6818,
852
+ "step": 1120
853
+ },
854
+ {
855
+ "epoch": 19.02,
856
+ "eval_accuracy": 0.7096774193548387,
857
+ "eval_loss": 0.7976797223091125,
858
+ "eval_runtime": 278.2303,
859
+ "eval_samples_per_second": 0.78,
860
+ "eval_steps_per_second": 0.101,
861
+ "step": 1120
862
+ },
863
+ {
864
+ "epoch": 20.0,
865
+ "learning_rate": 3.29395274329195e-05,
866
+ "loss": 0.6042,
867
+ "step": 1130
868
+ },
869
+ {
870
+ "epoch": 20.01,
871
+ "learning_rate": 3.2739287144573485e-05,
872
+ "loss": 0.6727,
873
+ "step": 1140
874
+ },
875
+ {
876
+ "epoch": 20.01,
877
+ "learning_rate": 3.253904685622747e-05,
878
+ "loss": 0.6864,
879
+ "step": 1150
880
+ },
881
+ {
882
+ "epoch": 20.01,
883
+ "learning_rate": 3.2338806567881455e-05,
884
+ "loss": 0.7044,
885
+ "step": 1160
886
+ },
887
+ {
888
+ "epoch": 20.02,
889
+ "learning_rate": 3.213856627953544e-05,
890
+ "loss": 0.6132,
891
+ "step": 1170
892
+ },
893
+ {
894
+ "epoch": 20.02,
895
+ "eval_accuracy": 0.7373271889400922,
896
+ "eval_loss": 0.711599588394165,
897
+ "eval_runtime": 282.6691,
898
+ "eval_samples_per_second": 0.768,
899
+ "eval_steps_per_second": 0.099,
900
+ "step": 1176
901
+ },
902
+ {
903
+ "epoch": 21.0,
904
+ "learning_rate": 3.1938325991189424e-05,
905
+ "loss": 0.5863,
906
+ "step": 1180
907
+ },
908
+ {
909
+ "epoch": 21.01,
910
+ "learning_rate": 3.173808570284341e-05,
911
+ "loss": 0.7034,
912
+ "step": 1190
913
+ },
914
+ {
915
+ "epoch": 21.01,
916
+ "learning_rate": 3.1537845414497393e-05,
917
+ "loss": 0.5395,
918
+ "step": 1200
919
+ },
920
+ {
921
+ "epoch": 21.01,
922
+ "learning_rate": 3.133760512615138e-05,
923
+ "loss": 0.5865,
924
+ "step": 1210
925
+ },
926
+ {
927
+ "epoch": 21.02,
928
+ "learning_rate": 3.113736483780536e-05,
929
+ "loss": 0.8626,
930
+ "step": 1220
931
+ },
932
+ {
933
+ "epoch": 21.02,
934
+ "learning_rate": 3.0937124549459354e-05,
935
+ "loss": 0.4113,
936
+ "step": 1230
937
+ },
938
+ {
939
+ "epoch": 21.02,
940
+ "eval_accuracy": 0.5852534562211982,
941
+ "eval_loss": 1.0191233158111572,
942
+ "eval_runtime": 294.6201,
943
+ "eval_samples_per_second": 0.737,
944
+ "eval_steps_per_second": 0.095,
945
+ "step": 1232
946
+ },
947
+ {
948
+ "epoch": 22.0,
949
+ "learning_rate": 3.073688426111334e-05,
950
+ "loss": 0.5072,
951
+ "step": 1240
952
+ },
953
+ {
954
+ "epoch": 22.01,
955
+ "learning_rate": 3.0536643972767324e-05,
956
+ "loss": 0.4606,
957
+ "step": 1250
958
+ },
959
+ {
960
+ "epoch": 22.01,
961
+ "learning_rate": 3.0336403684421305e-05,
962
+ "loss": 0.5524,
963
+ "step": 1260
964
+ },
965
+ {
966
+ "epoch": 22.01,
967
+ "learning_rate": 3.013616339607529e-05,
968
+ "loss": 0.5717,
969
+ "step": 1270
970
+ },
971
+ {
972
+ "epoch": 22.02,
973
+ "learning_rate": 2.9935923107729274e-05,
974
+ "loss": 0.7443,
975
+ "step": 1280
976
+ },
977
+ {
978
+ "epoch": 22.02,
979
+ "eval_accuracy": 0.5714285714285714,
980
+ "eval_loss": 1.2705073356628418,
981
+ "eval_runtime": 293.0804,
982
+ "eval_samples_per_second": 0.74,
983
+ "eval_steps_per_second": 0.096,
984
+ "step": 1288
985
+ },
986
+ {
987
+ "epoch": 23.0,
988
+ "learning_rate": 2.973568281938326e-05,
989
+ "loss": 0.6123,
990
+ "step": 1290
991
+ },
992
+ {
993
+ "epoch": 23.0,
994
+ "learning_rate": 2.9535442531037244e-05,
995
+ "loss": 0.6612,
996
+ "step": 1300
997
+ },
998
+ {
999
+ "epoch": 23.01,
1000
+ "learning_rate": 2.9335202242691228e-05,
1001
+ "loss": 0.5372,
1002
+ "step": 1310
1003
+ },
1004
+ {
1005
+ "epoch": 23.01,
1006
+ "learning_rate": 2.9134961954345213e-05,
1007
+ "loss": 0.664,
1008
+ "step": 1320
1009
+ },
1010
+ {
1011
+ "epoch": 23.02,
1012
+ "learning_rate": 2.8934721665999198e-05,
1013
+ "loss": 0.554,
1014
+ "step": 1330
1015
+ },
1016
+ {
1017
+ "epoch": 23.02,
1018
+ "learning_rate": 2.8734481377653182e-05,
1019
+ "loss": 0.6904,
1020
+ "step": 1340
1021
+ },
1022
+ {
1023
+ "epoch": 23.02,
1024
+ "eval_accuracy": 0.663594470046083,
1025
+ "eval_loss": 0.8419041633605957,
1026
+ "eval_runtime": 273.5294,
1027
+ "eval_samples_per_second": 0.793,
1028
+ "eval_steps_per_second": 0.102,
1029
+ "step": 1344
1030
+ },
1031
+ {
1032
+ "epoch": 24.0,
1033
+ "learning_rate": 2.8534241089307167e-05,
1034
+ "loss": 0.4684,
1035
+ "step": 1350
1036
+ },
1037
+ {
1038
+ "epoch": 24.01,
1039
+ "learning_rate": 2.833400080096115e-05,
1040
+ "loss": 0.6528,
1041
+ "step": 1360
1042
+ },
1043
+ {
1044
+ "epoch": 24.01,
1045
+ "learning_rate": 2.8133760512615136e-05,
1046
+ "loss": 0.6146,
1047
+ "step": 1370
1048
+ },
1049
+ {
1050
+ "epoch": 24.01,
1051
+ "learning_rate": 2.793352022426912e-05,
1052
+ "loss": 0.6946,
1053
+ "step": 1380
1054
+ },
1055
+ {
1056
+ "epoch": 24.02,
1057
+ "learning_rate": 2.7733279935923106e-05,
1058
+ "loss": 0.7524,
1059
+ "step": 1390
1060
+ },
1061
+ {
1062
+ "epoch": 24.02,
1063
+ "learning_rate": 2.753303964757709e-05,
1064
+ "loss": 0.5888,
1065
+ "step": 1400
1066
+ },
1067
+ {
1068
+ "epoch": 24.02,
1069
+ "eval_accuracy": 0.695852534562212,
1070
+ "eval_loss": 0.7481154799461365,
1071
+ "eval_runtime": 282.3869,
1072
+ "eval_samples_per_second": 0.768,
1073
+ "eval_steps_per_second": 0.099,
1074
+ "step": 1400
1075
+ },
1076
+ {
1077
+ "epoch": 25.0,
1078
+ "learning_rate": 2.7332799359231075e-05,
1079
+ "loss": 0.5538,
1080
+ "step": 1410
1081
+ },
1082
+ {
1083
+ "epoch": 25.01,
1084
+ "learning_rate": 2.713255907088506e-05,
1085
+ "loss": 0.6264,
1086
+ "step": 1420
1087
+ },
1088
+ {
1089
+ "epoch": 25.01,
1090
+ "learning_rate": 2.6932318782539044e-05,
1091
+ "loss": 0.6003,
1092
+ "step": 1430
1093
+ },
1094
+ {
1095
+ "epoch": 25.01,
1096
+ "learning_rate": 2.673207849419303e-05,
1097
+ "loss": 0.3861,
1098
+ "step": 1440
1099
+ },
1100
+ {
1101
+ "epoch": 25.02,
1102
+ "learning_rate": 2.6531838205847014e-05,
1103
+ "loss": 0.6739,
1104
+ "step": 1450
1105
+ },
1106
+ {
1107
+ "epoch": 25.02,
1108
+ "eval_accuracy": 0.7096774193548387,
1109
+ "eval_loss": 0.9969804883003235,
1110
+ "eval_runtime": 299.6469,
1111
+ "eval_samples_per_second": 0.724,
1112
+ "eval_steps_per_second": 0.093,
1113
+ "step": 1456
1114
+ },
1115
+ {
1116
+ "epoch": 26.0,
1117
+ "learning_rate": 2.6331597917501e-05,
1118
+ "loss": 0.5608,
1119
+ "step": 1460
1120
+ },
1121
+ {
1122
+ "epoch": 26.01,
1123
+ "learning_rate": 2.613135762915499e-05,
1124
+ "loss": 0.5111,
1125
+ "step": 1470
1126
+ },
1127
+ {
1128
+ "epoch": 26.01,
1129
+ "learning_rate": 2.5931117340808974e-05,
1130
+ "loss": 0.8708,
1131
+ "step": 1480
1132
+ },
1133
+ {
1134
+ "epoch": 26.01,
1135
+ "learning_rate": 2.573087705246296e-05,
1136
+ "loss": 0.4313,
1137
+ "step": 1490
1138
+ },
1139
+ {
1140
+ "epoch": 26.02,
1141
+ "learning_rate": 2.5530636764116944e-05,
1142
+ "loss": 0.6762,
1143
+ "step": 1500
1144
+ },
1145
+ {
1146
+ "epoch": 26.02,
1147
+ "learning_rate": 2.533039647577093e-05,
1148
+ "loss": 0.6595,
1149
+ "step": 1510
1150
+ },
1151
+ {
1152
+ "epoch": 26.02,
1153
+ "eval_accuracy": 0.5806451612903226,
1154
+ "eval_loss": 1.3474303483963013,
1155
+ "eval_runtime": 295.6937,
1156
+ "eval_samples_per_second": 0.734,
1157
+ "eval_steps_per_second": 0.095,
1158
+ "step": 1512
1159
+ },
1160
+ {
1161
+ "epoch": 27.0,
1162
+ "learning_rate": 2.5130156187424913e-05,
1163
+ "loss": 0.4747,
1164
+ "step": 1520
1165
+ },
1166
+ {
1167
+ "epoch": 27.01,
1168
+ "learning_rate": 2.4929915899078894e-05,
1169
+ "loss": 0.4853,
1170
+ "step": 1530
1171
+ },
1172
+ {
1173
+ "epoch": 27.01,
1174
+ "learning_rate": 2.472967561073288e-05,
1175
+ "loss": 0.7735,
1176
+ "step": 1540
1177
+ },
1178
+ {
1179
+ "epoch": 27.01,
1180
+ "learning_rate": 2.4529435322386864e-05,
1181
+ "loss": 0.6031,
1182
+ "step": 1550
1183
+ },
1184
+ {
1185
+ "epoch": 27.02,
1186
+ "learning_rate": 2.432919503404085e-05,
1187
+ "loss": 0.5574,
1188
+ "step": 1560
1189
+ },
1190
+ {
1191
+ "epoch": 27.02,
1192
+ "eval_accuracy": 0.7926267281105991,
1193
+ "eval_loss": 0.6245233416557312,
1194
+ "eval_runtime": 272.7592,
1195
+ "eval_samples_per_second": 0.796,
1196
+ "eval_steps_per_second": 0.103,
1197
+ "step": 1568
1198
+ },
1199
+ {
1200
+ "epoch": 28.0,
1201
+ "learning_rate": 2.4128954745694833e-05,
1202
+ "loss": 0.5116,
1203
+ "step": 1570
1204
+ },
1205
+ {
1206
+ "epoch": 28.0,
1207
+ "learning_rate": 2.3928714457348818e-05,
1208
+ "loss": 0.4803,
1209
+ "step": 1580
1210
+ },
1211
+ {
1212
+ "epoch": 28.01,
1213
+ "learning_rate": 2.3728474169002803e-05,
1214
+ "loss": 0.6004,
1215
+ "step": 1590
1216
+ },
1217
+ {
1218
+ "epoch": 28.01,
1219
+ "learning_rate": 2.3528233880656787e-05,
1220
+ "loss": 0.6322,
1221
+ "step": 1600
1222
+ },
1223
+ {
1224
+ "epoch": 28.02,
1225
+ "learning_rate": 2.3327993592310772e-05,
1226
+ "loss": 0.6244,
1227
+ "step": 1610
1228
+ },
1229
+ {
1230
+ "epoch": 28.02,
1231
+ "learning_rate": 2.3127753303964757e-05,
1232
+ "loss": 0.5627,
1233
+ "step": 1620
1234
+ },
1235
+ {
1236
+ "epoch": 28.02,
1237
+ "eval_accuracy": 0.7142857142857143,
1238
+ "eval_loss": 0.771838366985321,
1239
+ "eval_runtime": 280.8358,
1240
+ "eval_samples_per_second": 0.773,
1241
+ "eval_steps_per_second": 0.1,
1242
+ "step": 1624
1243
+ },
1244
+ {
1245
+ "epoch": 29.0,
1246
+ "learning_rate": 2.292751301561874e-05,
1247
+ "loss": 0.5542,
1248
+ "step": 1630
1249
+ },
1250
+ {
1251
+ "epoch": 29.01,
1252
+ "learning_rate": 2.272727272727273e-05,
1253
+ "loss": 0.5876,
1254
+ "step": 1640
1255
+ },
1256
+ {
1257
+ "epoch": 29.01,
1258
+ "learning_rate": 2.2527032438926714e-05,
1259
+ "loss": 0.6163,
1260
+ "step": 1650
1261
+ },
1262
+ {
1263
+ "epoch": 29.01,
1264
+ "learning_rate": 2.23267921505807e-05,
1265
+ "loss": 0.6306,
1266
+ "step": 1660
1267
+ },
1268
+ {
1269
+ "epoch": 29.02,
1270
+ "learning_rate": 2.2126551862234683e-05,
1271
+ "loss": 0.5298,
1272
+ "step": 1670
1273
+ },
1274
+ {
1275
+ "epoch": 29.02,
1276
+ "learning_rate": 2.1926311573888668e-05,
1277
+ "loss": 0.6417,
1278
+ "step": 1680
1279
+ },
1280
+ {
1281
+ "epoch": 29.02,
1282
+ "eval_accuracy": 0.7603686635944701,
1283
+ "eval_loss": 0.650582492351532,
1284
+ "eval_runtime": 296.0664,
1285
+ "eval_samples_per_second": 0.733,
1286
+ "eval_steps_per_second": 0.095,
1287
+ "step": 1680
1288
+ },
1289
+ {
1290
+ "epoch": 30.0,
1291
+ "learning_rate": 2.1726071285542653e-05,
1292
+ "loss": 0.5207,
1293
+ "step": 1690
1294
+ },
1295
+ {
1296
+ "epoch": 30.01,
1297
+ "learning_rate": 2.1525830997196637e-05,
1298
+ "loss": 0.6844,
1299
+ "step": 1700
1300
+ },
1301
+ {
1302
+ "epoch": 30.01,
1303
+ "learning_rate": 2.1325590708850622e-05,
1304
+ "loss": 0.5786,
1305
+ "step": 1710
1306
+ },
1307
+ {
1308
+ "epoch": 30.01,
1309
+ "learning_rate": 2.1125350420504607e-05,
1310
+ "loss": 0.6469,
1311
+ "step": 1720
1312
+ },
1313
+ {
1314
+ "epoch": 30.02,
1315
+ "learning_rate": 2.092511013215859e-05,
1316
+ "loss": 0.3854,
1317
+ "step": 1730
1318
+ },
1319
+ {
1320
+ "epoch": 30.02,
1321
+ "eval_accuracy": 0.6543778801843319,
1322
+ "eval_loss": 0.9524322152137756,
1323
+ "eval_runtime": 299.1402,
1324
+ "eval_samples_per_second": 0.725,
1325
+ "eval_steps_per_second": 0.094,
1326
+ "step": 1736
1327
+ },
1328
+ {
1329
+ "epoch": 31.0,
1330
+ "learning_rate": 2.0724869843812576e-05,
1331
+ "loss": 0.5848,
1332
+ "step": 1740
1333
+ },
1334
+ {
1335
+ "epoch": 31.01,
1336
+ "learning_rate": 2.052462955546656e-05,
1337
+ "loss": 0.7229,
1338
+ "step": 1750
1339
+ },
1340
+ {
1341
+ "epoch": 31.01,
1342
+ "learning_rate": 2.0324389267120545e-05,
1343
+ "loss": 0.3224,
1344
+ "step": 1760
1345
+ },
1346
+ {
1347
+ "epoch": 31.01,
1348
+ "learning_rate": 2.012414897877453e-05,
1349
+ "loss": 0.6137,
1350
+ "step": 1770
1351
+ },
1352
+ {
1353
+ "epoch": 31.02,
1354
+ "learning_rate": 1.9923908690428515e-05,
1355
+ "loss": 0.6177,
1356
+ "step": 1780
1357
+ },
1358
+ {
1359
+ "epoch": 31.02,
1360
+ "learning_rate": 1.9723668402082503e-05,
1361
+ "loss": 0.354,
1362
+ "step": 1790
1363
+ },
1364
+ {
1365
+ "epoch": 31.02,
1366
+ "eval_accuracy": 0.5944700460829493,
1367
+ "eval_loss": 1.0662328004837036,
1368
+ "eval_runtime": 276.3099,
1369
+ "eval_samples_per_second": 0.785,
1370
+ "eval_steps_per_second": 0.101,
1371
+ "step": 1792
1372
+ },
1373
+ {
1374
+ "epoch": 32.0,
1375
+ "learning_rate": 1.9523428113736487e-05,
1376
+ "loss": 0.5629,
1377
+ "step": 1800
1378
+ },
1379
+ {
1380
+ "epoch": 32.01,
1381
+ "learning_rate": 1.9323187825390472e-05,
1382
+ "loss": 0.5925,
1383
+ "step": 1810
1384
+ },
1385
+ {
1386
+ "epoch": 32.01,
1387
+ "learning_rate": 1.9122947537044457e-05,
1388
+ "loss": 0.5397,
1389
+ "step": 1820
1390
+ },
1391
+ {
1392
+ "epoch": 32.01,
1393
+ "learning_rate": 1.892270724869844e-05,
1394
+ "loss": 0.6561,
1395
+ "step": 1830
1396
+ },
1397
+ {
1398
+ "epoch": 32.02,
1399
+ "learning_rate": 1.8722466960352426e-05,
1400
+ "loss": 0.7568,
1401
+ "step": 1840
1402
+ },
1403
+ {
1404
+ "epoch": 32.02,
1405
+ "eval_accuracy": 0.7603686635944701,
1406
+ "eval_loss": 0.7328762412071228,
1407
+ "eval_runtime": 283.5786,
1408
+ "eval_samples_per_second": 0.765,
1409
+ "eval_steps_per_second": 0.099,
1410
+ "step": 1848
1411
+ },
1412
+ {
1413
+ "epoch": 33.0,
1414
+ "learning_rate": 1.852222667200641e-05,
1415
+ "loss": 0.6542,
1416
+ "step": 1850
1417
+ },
1418
+ {
1419
+ "epoch": 33.0,
1420
+ "learning_rate": 1.8321986383660396e-05,
1421
+ "loss": 0.5953,
1422
+ "step": 1860
1423
+ },
1424
+ {
1425
+ "epoch": 33.01,
1426
+ "learning_rate": 1.812174609531438e-05,
1427
+ "loss": 0.6237,
1428
+ "step": 1870
1429
+ },
1430
+ {
1431
+ "epoch": 33.01,
1432
+ "learning_rate": 1.7921505806968365e-05,
1433
+ "loss": 0.4957,
1434
+ "step": 1880
1435
+ },
1436
+ {
1437
+ "epoch": 33.02,
1438
+ "learning_rate": 1.772126551862235e-05,
1439
+ "loss": 0.4511,
1440
+ "step": 1890
1441
+ },
1442
+ {
1443
+ "epoch": 33.02,
1444
+ "learning_rate": 1.7521025230276334e-05,
1445
+ "loss": 0.5359,
1446
+ "step": 1900
1447
+ },
1448
+ {
1449
+ "epoch": 33.02,
1450
+ "eval_accuracy": 0.6774193548387096,
1451
+ "eval_loss": 0.895764172077179,
1452
+ "eval_runtime": 304.4353,
1453
+ "eval_samples_per_second": 0.713,
1454
+ "eval_steps_per_second": 0.092,
1455
+ "step": 1904
1456
+ },
1457
+ {
1458
+ "epoch": 34.0,
1459
+ "learning_rate": 1.732078494193032e-05,
1460
+ "loss": 0.4236,
1461
+ "step": 1910
1462
+ },
1463
+ {
1464
+ "epoch": 34.01,
1465
+ "learning_rate": 1.7120544653584304e-05,
1466
+ "loss": 0.5042,
1467
+ "step": 1920
1468
+ },
1469
+ {
1470
+ "epoch": 34.01,
1471
+ "learning_rate": 1.6920304365238288e-05,
1472
+ "loss": 0.3626,
1473
+ "step": 1930
1474
+ },
1475
+ {
1476
+ "epoch": 34.01,
1477
+ "learning_rate": 1.6720064076892273e-05,
1478
+ "loss": 0.4452,
1479
+ "step": 1940
1480
+ },
1481
+ {
1482
+ "epoch": 34.02,
1483
+ "learning_rate": 1.6519823788546258e-05,
1484
+ "loss": 0.41,
1485
+ "step": 1950
1486
+ },
1487
+ {
1488
+ "epoch": 34.02,
1489
+ "learning_rate": 1.6319583500200242e-05,
1490
+ "loss": 0.5946,
1491
+ "step": 1960
1492
+ },
1493
+ {
1494
+ "epoch": 34.02,
1495
+ "eval_accuracy": 0.6912442396313364,
1496
+ "eval_loss": 0.8311697244644165,
1497
+ "eval_runtime": 308.1115,
1498
+ "eval_samples_per_second": 0.704,
1499
+ "eval_steps_per_second": 0.091,
1500
+ "step": 1960
1501
+ },
1502
+ {
1503
+ "epoch": 35.0,
1504
+ "learning_rate": 1.6119343211854227e-05,
1505
+ "loss": 0.3616,
1506
+ "step": 1970
1507
+ },
1508
+ {
1509
+ "epoch": 35.01,
1510
+ "learning_rate": 1.591910292350821e-05,
1511
+ "loss": 0.5359,
1512
+ "step": 1980
1513
+ },
1514
+ {
1515
+ "epoch": 35.01,
1516
+ "learning_rate": 1.5718862635162196e-05,
1517
+ "loss": 0.4199,
1518
+ "step": 1990
1519
+ },
1520
+ {
1521
+ "epoch": 35.01,
1522
+ "learning_rate": 1.551862234681618e-05,
1523
+ "loss": 0.6426,
1524
+ "step": 2000
1525
+ },
1526
+ {
1527
+ "epoch": 35.02,
1528
+ "learning_rate": 1.5318382058470166e-05,
1529
+ "loss": 0.5673,
1530
+ "step": 2010
1531
+ },
1532
+ {
1533
+ "epoch": 35.02,
1534
+ "eval_accuracy": 0.7050691244239631,
1535
+ "eval_loss": 0.7244735360145569,
1536
+ "eval_runtime": 296.8166,
1537
+ "eval_samples_per_second": 0.731,
1538
+ "eval_steps_per_second": 0.094,
1539
+ "step": 2016
1540
+ },
1541
+ {
1542
+ "epoch": 36.0,
1543
+ "learning_rate": 1.511814177012415e-05,
1544
+ "loss": 0.5008,
1545
+ "step": 2020
1546
+ },
1547
+ {
1548
+ "epoch": 36.01,
1549
+ "learning_rate": 1.4917901481778135e-05,
1550
+ "loss": 0.618,
1551
+ "step": 2030
1552
+ },
1553
+ {
1554
+ "epoch": 36.01,
1555
+ "learning_rate": 1.471766119343212e-05,
1556
+ "loss": 0.4247,
1557
+ "step": 2040
1558
+ },
1559
+ {
1560
+ "epoch": 36.01,
1561
+ "learning_rate": 1.4517420905086104e-05,
1562
+ "loss": 0.4958,
1563
+ "step": 2050
1564
+ },
1565
+ {
1566
+ "epoch": 36.02,
1567
+ "learning_rate": 1.4317180616740089e-05,
1568
+ "loss": 0.5354,
1569
+ "step": 2060
1570
+ },
1571
+ {
1572
+ "epoch": 36.02,
1573
+ "learning_rate": 1.4116940328394074e-05,
1574
+ "loss": 0.4291,
1575
+ "step": 2070
1576
+ },
1577
+ {
1578
+ "epoch": 36.02,
1579
+ "eval_accuracy": 0.6912442396313364,
1580
+ "eval_loss": 0.8293845653533936,
1581
+ "eval_runtime": 280.8321,
1582
+ "eval_samples_per_second": 0.773,
1583
+ "eval_steps_per_second": 0.1,
1584
+ "step": 2072
1585
+ },
1586
+ {
1587
+ "epoch": 37.0,
1588
+ "learning_rate": 1.3916700040048058e-05,
1589
+ "loss": 0.2799,
1590
+ "step": 2080
1591
+ },
1592
+ {
1593
+ "epoch": 37.01,
1594
+ "learning_rate": 1.3716459751702043e-05,
1595
+ "loss": 0.3613,
1596
+ "step": 2090
1597
+ },
1598
+ {
1599
+ "epoch": 37.01,
1600
+ "learning_rate": 1.3516219463356028e-05,
1601
+ "loss": 0.3897,
1602
+ "step": 2100
1603
+ },
1604
+ {
1605
+ "epoch": 37.01,
1606
+ "learning_rate": 1.3315979175010012e-05,
1607
+ "loss": 0.7273,
1608
+ "step": 2110
1609
+ },
1610
+ {
1611
+ "epoch": 37.02,
1612
+ "learning_rate": 1.3115738886663997e-05,
1613
+ "loss": 0.5245,
1614
+ "step": 2120
1615
+ },
1616
+ {
1617
+ "epoch": 37.02,
1618
+ "eval_accuracy": 0.7004608294930875,
1619
+ "eval_loss": 0.8930543661117554,
1620
+ "eval_runtime": 291.8107,
1621
+ "eval_samples_per_second": 0.744,
1622
+ "eval_steps_per_second": 0.096,
1623
+ "step": 2128
1624
+ },
1625
+ {
1626
+ "epoch": 38.0,
1627
+ "learning_rate": 1.2915498598317982e-05,
1628
+ "loss": 0.4403,
1629
+ "step": 2130
1630
+ },
1631
+ {
1632
+ "epoch": 38.0,
1633
+ "learning_rate": 1.2715258309971966e-05,
1634
+ "loss": 0.47,
1635
+ "step": 2140
1636
+ },
1637
+ {
1638
+ "epoch": 38.01,
1639
+ "learning_rate": 1.2515018021625951e-05,
1640
+ "loss": 0.5665,
1641
+ "step": 2150
1642
+ },
1643
+ {
1644
+ "epoch": 38.01,
1645
+ "learning_rate": 1.2314777733279936e-05,
1646
+ "loss": 0.4663,
1647
+ "step": 2160
1648
+ },
1649
+ {
1650
+ "epoch": 38.02,
1651
+ "learning_rate": 1.211453744493392e-05,
1652
+ "loss": 0.5298,
1653
+ "step": 2170
1654
+ },
1655
+ {
1656
+ "epoch": 38.02,
1657
+ "learning_rate": 1.1914297156587905e-05,
1658
+ "loss": 0.4113,
1659
+ "step": 2180
1660
+ },
1661
+ {
1662
+ "epoch": 38.02,
1663
+ "eval_accuracy": 0.6912442396313364,
1664
+ "eval_loss": 0.7470101118087769,
1665
+ "eval_runtime": 301.4121,
1666
+ "eval_samples_per_second": 0.72,
1667
+ "eval_steps_per_second": 0.093,
1668
+ "step": 2184
1669
+ },
1670
+ {
1671
+ "epoch": 39.0,
1672
+ "learning_rate": 1.171405686824189e-05,
1673
+ "loss": 0.5107,
1674
+ "step": 2190
1675
+ },
1676
+ {
1677
+ "epoch": 39.01,
1678
+ "learning_rate": 1.1513816579895874e-05,
1679
+ "loss": 0.3318,
1680
+ "step": 2200
1681
+ },
1682
+ {
1683
+ "epoch": 39.01,
1684
+ "learning_rate": 1.131357629154986e-05,
1685
+ "loss": 0.3652,
1686
+ "step": 2210
1687
+ },
1688
+ {
1689
+ "epoch": 39.01,
1690
+ "learning_rate": 1.1113336003203845e-05,
1691
+ "loss": 0.5929,
1692
+ "step": 2220
1693
+ },
1694
+ {
1695
+ "epoch": 39.02,
1696
+ "learning_rate": 1.091309571485783e-05,
1697
+ "loss": 0.6747,
1698
+ "step": 2230
1699
+ },
1700
+ {
1701
+ "epoch": 39.02,
1702
+ "learning_rate": 1.0712855426511815e-05,
1703
+ "loss": 0.456,
1704
+ "step": 2240
1705
+ },
1706
+ {
1707
+ "epoch": 39.02,
1708
+ "eval_accuracy": 0.6728110599078341,
1709
+ "eval_loss": 0.83251953125,
1710
+ "eval_runtime": 296.4637,
1711
+ "eval_samples_per_second": 0.732,
1712
+ "eval_steps_per_second": 0.094,
1713
+ "step": 2240
1714
+ },
1715
+ {
1716
+ "epoch": 40.0,
1717
+ "learning_rate": 1.05126151381658e-05,
1718
+ "loss": 0.4135,
1719
+ "step": 2250
1720
+ },
1721
+ {
1722
+ "epoch": 40.01,
1723
+ "learning_rate": 1.0312374849819784e-05,
1724
+ "loss": 0.4386,
1725
+ "step": 2260
1726
+ },
1727
+ {
1728
+ "epoch": 40.01,
1729
+ "learning_rate": 1.0112134561473769e-05,
1730
+ "loss": 0.3827,
1731
+ "step": 2270
1732
+ },
1733
+ {
1734
+ "epoch": 40.01,
1735
+ "learning_rate": 9.911894273127754e-06,
1736
+ "loss": 0.5813,
1737
+ "step": 2280
1738
+ },
1739
+ {
1740
+ "epoch": 40.02,
1741
+ "learning_rate": 9.71165398478174e-06,
1742
+ "loss": 0.6955,
1743
+ "step": 2290
1744
+ },
1745
+ {
1746
+ "epoch": 40.02,
1747
+ "eval_accuracy": 0.7788018433179723,
1748
+ "eval_loss": 0.6940905451774597,
1749
+ "eval_runtime": 283.1651,
1750
+ "eval_samples_per_second": 0.766,
1751
+ "eval_steps_per_second": 0.099,
1752
+ "step": 2296
1753
+ },
1754
+ {
1755
+ "epoch": 41.0,
1756
+ "learning_rate": 9.511413696435725e-06,
1757
+ "loss": 0.6248,
1758
+ "step": 2300
1759
+ },
1760
+ {
1761
+ "epoch": 41.01,
1762
+ "learning_rate": 9.31117340808971e-06,
1763
+ "loss": 0.4685,
1764
+ "step": 2310
1765
+ },
1766
+ {
1767
+ "epoch": 41.01,
1768
+ "learning_rate": 9.110933119743694e-06,
1769
+ "loss": 0.5245,
1770
+ "step": 2320
1771
+ },
1772
+ {
1773
+ "epoch": 41.01,
1774
+ "learning_rate": 8.910692831397679e-06,
1775
+ "loss": 0.4043,
1776
+ "step": 2330
1777
+ },
1778
+ {
1779
+ "epoch": 41.02,
1780
+ "learning_rate": 8.710452543051663e-06,
1781
+ "loss": 0.5549,
1782
+ "step": 2340
1783
+ },
1784
+ {
1785
+ "epoch": 41.02,
1786
+ "learning_rate": 8.510212254705648e-06,
1787
+ "loss": 0.6283,
1788
+ "step": 2350
1789
+ },
1790
+ {
1791
+ "epoch": 41.02,
1792
+ "eval_accuracy": 0.663594470046083,
1793
+ "eval_loss": 0.966249406337738,
1794
+ "eval_runtime": 294.1729,
1795
+ "eval_samples_per_second": 0.738,
1796
+ "eval_steps_per_second": 0.095,
1797
+ "step": 2352
1798
+ },
1799
+ {
1800
+ "epoch": 42.0,
1801
+ "learning_rate": 8.309971966359633e-06,
1802
+ "loss": 0.3517,
1803
+ "step": 2360
1804
+ },
1805
+ {
1806
+ "epoch": 42.01,
1807
+ "learning_rate": 8.109731678013617e-06,
1808
+ "loss": 0.3444,
1809
+ "step": 2370
1810
+ },
1811
+ {
1812
+ "epoch": 42.01,
1813
+ "learning_rate": 7.909491389667602e-06,
1814
+ "loss": 0.5992,
1815
+ "step": 2380
1816
+ },
1817
+ {
1818
+ "epoch": 42.01,
1819
+ "learning_rate": 7.709251101321587e-06,
1820
+ "loss": 0.4173,
1821
+ "step": 2390
1822
+ },
1823
+ {
1824
+ "epoch": 42.02,
1825
+ "learning_rate": 7.509010812975571e-06,
1826
+ "loss": 0.6465,
1827
+ "step": 2400
1828
+ },
1829
+ {
1830
+ "epoch": 42.02,
1831
+ "eval_accuracy": 0.6129032258064516,
1832
+ "eval_loss": 1.128628134727478,
1833
+ "eval_runtime": 305.5849,
1834
+ "eval_samples_per_second": 0.71,
1835
+ "eval_steps_per_second": 0.092,
1836
+ "step": 2408
1837
+ },
1838
+ {
1839
+ "epoch": 43.0,
1840
+ "learning_rate": 7.308770524629556e-06,
1841
+ "loss": 0.4979,
1842
+ "step": 2410
1843
+ },
1844
+ {
1845
+ "epoch": 43.0,
1846
+ "learning_rate": 7.108530236283541e-06,
1847
+ "loss": 0.2924,
1848
+ "step": 2420
1849
+ },
1850
+ {
1851
+ "epoch": 43.01,
1852
+ "learning_rate": 6.908289947937525e-06,
1853
+ "loss": 0.4724,
1854
+ "step": 2430
1855
+ },
1856
+ {
1857
+ "epoch": 43.01,
1858
+ "learning_rate": 6.70804965959151e-06,
1859
+ "loss": 0.6343,
1860
+ "step": 2440
1861
+ },
1862
+ {
1863
+ "epoch": 43.02,
1864
+ "learning_rate": 6.507809371245495e-06,
1865
+ "loss": 0.3307,
1866
+ "step": 2450
1867
+ },
1868
+ {
1869
+ "epoch": 43.02,
1870
+ "learning_rate": 6.307569082899479e-06,
1871
+ "loss": 0.4387,
1872
+ "step": 2460
1873
+ },
1874
+ {
1875
+ "epoch": 43.02,
1876
+ "eval_accuracy": 0.6175115207373272,
1877
+ "eval_loss": 0.95246422290802,
1878
+ "eval_runtime": 297.8793,
1879
+ "eval_samples_per_second": 0.728,
1880
+ "eval_steps_per_second": 0.094,
1881
+ "step": 2464
1882
+ },
1883
+ {
1884
+ "epoch": 44.0,
1885
+ "learning_rate": 6.107328794553464e-06,
1886
+ "loss": 0.297,
1887
+ "step": 2470
1888
+ },
1889
+ {
1890
+ "epoch": 44.01,
1891
+ "learning_rate": 5.907088506207449e-06,
1892
+ "loss": 0.2411,
1893
+ "step": 2480
1894
+ },
1895
+ {
1896
+ "epoch": 44.01,
1897
+ "learning_rate": 5.706848217861433e-06,
1898
+ "loss": 0.4188,
1899
+ "step": 2490
1900
+ },
1901
+ {
1902
+ "epoch": 44.01,
1903
+ "learning_rate": 5.506607929515419e-06,
1904
+ "loss": 0.2823,
1905
+ "step": 2500
1906
+ },
1907
+ {
1908
+ "epoch": 44.02,
1909
+ "learning_rate": 5.306367641169404e-06,
1910
+ "loss": 0.641,
1911
+ "step": 2510
1912
+ },
1913
+ {
1914
+ "epoch": 44.02,
1915
+ "learning_rate": 5.106127352823388e-06,
1916
+ "loss": 0.2879,
1917
+ "step": 2520
1918
+ },
1919
+ {
1920
+ "epoch": 44.02,
1921
+ "eval_accuracy": 0.631336405529954,
1922
+ "eval_loss": 1.0277422666549683,
1923
+ "eval_runtime": 279.3381,
1924
+ "eval_samples_per_second": 0.777,
1925
+ "eval_steps_per_second": 0.1,
1926
+ "step": 2520
1927
+ },
1928
+ {
1929
+ "epoch": 45.0,
1930
+ "learning_rate": 4.905887064477374e-06,
1931
+ "loss": 0.4336,
1932
+ "step": 2530
1933
+ },
1934
+ {
1935
+ "epoch": 45.01,
1936
+ "learning_rate": 4.7056467761313585e-06,
1937
+ "loss": 0.4613,
1938
+ "step": 2540
1939
+ },
1940
+ {
1941
+ "epoch": 45.01,
1942
+ "learning_rate": 4.505406487785343e-06,
1943
+ "loss": 0.467,
1944
+ "step": 2550
1945
+ },
1946
+ {
1947
+ "epoch": 45.01,
1948
+ "learning_rate": 4.305166199439328e-06,
1949
+ "loss": 0.6047,
1950
+ "step": 2560
1951
+ },
1952
+ {
1953
+ "epoch": 45.02,
1954
+ "learning_rate": 4.1049259110933125e-06,
1955
+ "loss": 0.5188,
1956
+ "step": 2570
1957
+ },
1958
+ {
1959
+ "epoch": 45.02,
1960
+ "eval_accuracy": 0.6359447004608295,
1961
+ "eval_loss": 1.0630711317062378,
1962
+ "eval_runtime": 289.6705,
1963
+ "eval_samples_per_second": 0.749,
1964
+ "eval_steps_per_second": 0.097,
1965
+ "step": 2576
1966
+ },
1967
+ {
1968
+ "epoch": 46.0,
1969
+ "learning_rate": 3.904685622747297e-06,
1970
+ "loss": 0.4725,
1971
+ "step": 2580
1972
+ },
1973
+ {
1974
+ "epoch": 46.01,
1975
+ "learning_rate": 3.704445334401282e-06,
1976
+ "loss": 0.3882,
1977
+ "step": 2590
1978
+ },
1979
+ {
1980
+ "epoch": 46.01,
1981
+ "learning_rate": 3.5042050460552665e-06,
1982
+ "loss": 0.554,
1983
+ "step": 2600
1984
+ },
1985
+ {
1986
+ "epoch": 46.01,
1987
+ "learning_rate": 3.303964757709251e-06,
1988
+ "loss": 0.3049,
1989
+ "step": 2610
1990
+ },
1991
+ {
1992
+ "epoch": 46.02,
1993
+ "learning_rate": 3.103724469363236e-06,
1994
+ "loss": 0.5718,
1995
+ "step": 2620
1996
+ },
1997
+ {
1998
+ "epoch": 46.02,
1999
+ "learning_rate": 2.9034841810172205e-06,
2000
+ "loss": 0.4464,
2001
+ "step": 2630
2002
+ },
2003
+ {
2004
+ "epoch": 46.02,
2005
+ "eval_accuracy": 0.6359447004608295,
2006
+ "eval_loss": 0.9313023090362549,
2007
+ "eval_runtime": 308.1544,
2008
+ "eval_samples_per_second": 0.704,
2009
+ "eval_steps_per_second": 0.091,
2010
+ "step": 2632
2011
+ },
2012
+ {
2013
+ "epoch": 47.0,
2014
+ "learning_rate": 2.7032438926712056e-06,
2015
+ "loss": 0.5462,
2016
+ "step": 2640
2017
+ },
2018
+ {
2019
+ "epoch": 47.01,
2020
+ "learning_rate": 2.5030036043251903e-06,
2021
+ "loss": 0.286,
2022
+ "step": 2650
2023
+ },
2024
+ {
2025
+ "epoch": 47.01,
2026
+ "learning_rate": 2.3027633159791754e-06,
2027
+ "loss": 0.3264,
2028
+ "step": 2660
2029
+ },
2030
+ {
2031
+ "epoch": 47.01,
2032
+ "learning_rate": 2.10252302763316e-06,
2033
+ "loss": 0.3228,
2034
+ "step": 2670
2035
+ },
2036
+ {
2037
+ "epoch": 47.02,
2038
+ "learning_rate": 1.9022827392871447e-06,
2039
+ "loss": 0.6155,
2040
+ "step": 2680
2041
+ },
2042
+ {
2043
+ "epoch": 47.02,
2044
+ "eval_accuracy": 0.6267281105990783,
2045
+ "eval_loss": 0.9699475169181824,
2046
+ "eval_runtime": 300.7358,
2047
+ "eval_samples_per_second": 0.722,
2048
+ "eval_steps_per_second": 0.093,
2049
+ "step": 2688
2050
+ },
2051
+ {
2052
+ "epoch": 48.0,
2053
+ "learning_rate": 1.7020424509411294e-06,
2054
+ "loss": 0.2717,
2055
+ "step": 2690
2056
+ },
2057
+ {
2058
+ "epoch": 48.0,
2059
+ "learning_rate": 1.501802162595114e-06,
2060
+ "loss": 0.3441,
2061
+ "step": 2700
2062
+ },
2063
+ {
2064
+ "epoch": 48.01,
2065
+ "learning_rate": 1.301561874249099e-06,
2066
+ "loss": 0.4568,
2067
+ "step": 2710
2068
+ },
2069
+ {
2070
+ "epoch": 48.01,
2071
+ "learning_rate": 1.1013215859030839e-06,
2072
+ "loss": 0.4951,
2073
+ "step": 2720
2074
+ },
2075
+ {
2076
+ "epoch": 48.02,
2077
+ "learning_rate": 9.010812975570685e-07,
2078
+ "loss": 0.3652,
2079
+ "step": 2730
2080
+ },
2081
+ {
2082
+ "epoch": 48.02,
2083
+ "learning_rate": 7.008410092110533e-07,
2084
+ "loss": 0.3921,
2085
+ "step": 2740
2086
+ },
2087
+ {
2088
+ "epoch": 48.02,
2089
+ "eval_accuracy": 0.631336405529954,
2090
+ "eval_loss": 1.0026726722717285,
2091
+ "eval_runtime": 287.0603,
2092
+ "eval_samples_per_second": 0.756,
2093
+ "eval_steps_per_second": 0.098,
2094
+ "step": 2744
2095
+ },
2096
+ {
2097
+ "epoch": 49.0,
2098
+ "learning_rate": 5.006007208650381e-07,
2099
+ "loss": 0.4077,
2100
+ "step": 2750
2101
+ },
2102
+ {
2103
+ "epoch": 49.01,
2104
+ "learning_rate": 3.003604325190229e-07,
2105
+ "loss": 0.3483,
2106
+ "step": 2760
2107
+ },
2108
+ {
2109
+ "epoch": 49.01,
2110
+ "learning_rate": 1.0012014417300761e-07,
2111
+ "loss": 0.3345,
2112
+ "step": 2770
2113
+ },
2114
+ {
2115
+ "epoch": 49.01,
2116
+ "eval_accuracy": 0.6221198156682027,
2117
+ "eval_loss": 1.0278483629226685,
2118
+ "eval_runtime": 278.1216,
2119
+ "eval_samples_per_second": 0.78,
2120
+ "eval_steps_per_second": 0.101,
2121
+ "step": 2775
2122
+ },
2123
+ {
2124
+ "epoch": 49.01,
2125
+ "step": 2775,
2126
+ "total_flos": 2.7602315185605673e+19,
2127
+ "train_loss": 0.7044631591143908,
2128
+ "train_runtime": 49084.8601,
2129
+ "train_samples_per_second": 0.452,
2130
+ "train_steps_per_second": 0.057
2131
+ },
2132
+ {
2133
+ "epoch": 49.01,
2134
+ "eval_accuracy": 0.7268518518518519,
2135
+ "eval_loss": 0.7417604923248291,
2136
+ "eval_runtime": 302.9136,
2137
+ "eval_samples_per_second": 0.713,
2138
+ "eval_steps_per_second": 0.089,
2139
+ "step": 2775
2140
+ },
2141
+ {
2142
+ "epoch": 49.01,
2143
+ "eval_accuracy": 0.7268518518518519,
2144
+ "eval_loss": 0.7417604923248291,
2145
+ "eval_runtime": 287.1389,
2146
+ "eval_samples_per_second": 0.752,
2147
+ "eval_steps_per_second": 0.094,
2148
+ "step": 2775
2149
+ }
2150
+ ],
2151
+ "logging_steps": 10,
2152
+ "max_steps": 2775,
2153
+ "num_train_epochs": 9223372036854775807,
2154
+ "save_steps": 500,
2155
+ "total_flos": 2.7602315185605673e+19,
2156
+ "trial_name": null,
2157
+ "trial_params": null
2158
+ }