ahmedALM1221 commited on
Commit
4b5f698
1 Parent(s): acc38c5

Training in progress, epoch 1

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "total_flos": 1.175377212318081e+18,
4
+ "train_loss": 1.2422215939382386,
5
+ "train_runtime": 2576.2267,
6
+ "train_samples_per_second": 18.124,
7
+ "train_steps_per_second": 0.568
8
+ }
runs/Jul06_13-48-03_86ee152215b1/events.out.tfevents.1688654933.86ee152215b1.2511.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:538fef20e86300d33443fa1b6072523bf657f2edfd448876fd579cdd49657637
3
+ size 8437
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "total_flos": 1.175377212318081e+18,
4
+ "train_loss": 1.2422215939382386,
5
+ "train_runtime": 2576.2267,
6
+ "train_samples_per_second": 18.124,
7
+ "train_steps_per_second": 0.568
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1885 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8273381294964028,
3
+ "best_model_checkpoint": "convnextv2-tiny-22k-224-finetuned-eurosat-50/checkpoint-1464",
4
+ "epoch": 12.0,
5
+ "global_step": 1464,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.04,
12
+ "learning_rate": 1.8968133535660093e-08,
13
+ "loss": 2.0068,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.08,
18
+ "learning_rate": 3.7936267071320186e-08,
19
+ "loss": 2.0511,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.12,
24
+ "learning_rate": 5.6904400606980276e-08,
25
+ "loss": 1.995,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.16,
30
+ "learning_rate": 7.587253414264037e-08,
31
+ "loss": 2.0273,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.2,
36
+ "learning_rate": 9.484066767830046e-08,
37
+ "loss": 2.0036,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.25,
42
+ "learning_rate": 1.1380880121396055e-07,
43
+ "loss": 2.0435,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.29,
48
+ "learning_rate": 1.3277693474962064e-07,
49
+ "loss": 2.0563,
50
+ "step": 35
51
+ },
52
+ {
53
+ "epoch": 0.33,
54
+ "learning_rate": 1.5174506828528074e-07,
55
+ "loss": 2.0733,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.37,
60
+ "learning_rate": 1.7071320182094083e-07,
61
+ "loss": 2.0279,
62
+ "step": 45
63
+ },
64
+ {
65
+ "epoch": 0.41,
66
+ "learning_rate": 1.896813353566009e-07,
67
+ "loss": 2.0142,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.45,
72
+ "learning_rate": 2.0864946889226102e-07,
73
+ "loss": 2.0612,
74
+ "step": 55
75
+ },
76
+ {
77
+ "epoch": 0.49,
78
+ "learning_rate": 2.276176024279211e-07,
79
+ "loss": 2.0662,
80
+ "step": 60
81
+ },
82
+ {
83
+ "epoch": 0.53,
84
+ "learning_rate": 2.465857359635812e-07,
85
+ "loss": 2.0601,
86
+ "step": 65
87
+ },
88
+ {
89
+ "epoch": 0.57,
90
+ "learning_rate": 2.6555386949924127e-07,
91
+ "loss": 1.9407,
92
+ "step": 70
93
+ },
94
+ {
95
+ "epoch": 0.61,
96
+ "learning_rate": 2.845220030349014e-07,
97
+ "loss": 2.0653,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 0.66,
102
+ "learning_rate": 3.034901365705615e-07,
103
+ "loss": 2.0545,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 0.7,
108
+ "learning_rate": 3.2245827010622155e-07,
109
+ "loss": 2.0208,
110
+ "step": 85
111
+ },
112
+ {
113
+ "epoch": 0.74,
114
+ "learning_rate": 3.4142640364188166e-07,
115
+ "loss": 2.0267,
116
+ "step": 90
117
+ },
118
+ {
119
+ "epoch": 0.78,
120
+ "learning_rate": 3.6039453717754177e-07,
121
+ "loss": 2.0156,
122
+ "step": 95
123
+ },
124
+ {
125
+ "epoch": 0.82,
126
+ "learning_rate": 3.793626707132018e-07,
127
+ "loss": 2.0217,
128
+ "step": 100
129
+ },
130
+ {
131
+ "epoch": 0.86,
132
+ "learning_rate": 3.9833080424886193e-07,
133
+ "loss": 2.0383,
134
+ "step": 105
135
+ },
136
+ {
137
+ "epoch": 0.9,
138
+ "learning_rate": 4.1729893778452204e-07,
139
+ "loss": 1.9975,
140
+ "step": 110
141
+ },
142
+ {
143
+ "epoch": 0.94,
144
+ "learning_rate": 4.3626707132018215e-07,
145
+ "loss": 1.9487,
146
+ "step": 115
147
+ },
148
+ {
149
+ "epoch": 0.98,
150
+ "learning_rate": 4.552352048558422e-07,
151
+ "loss": 2.0127,
152
+ "step": 120
153
+ },
154
+ {
155
+ "epoch": 1.0,
156
+ "eval_accuracy": 0.19424460431654678,
157
+ "eval_loss": 1.9837570190429688,
158
+ "eval_runtime": 379.9947,
159
+ "eval_samples_per_second": 2.561,
160
+ "eval_steps_per_second": 0.161,
161
+ "step": 122
162
+ },
163
+ {
164
+ "epoch": 1.02,
165
+ "learning_rate": 4.742033383915023e-07,
166
+ "loss": 1.9781,
167
+ "step": 125
168
+ },
169
+ {
170
+ "epoch": 1.07,
171
+ "learning_rate": 4.931714719271624e-07,
172
+ "loss": 1.9947,
173
+ "step": 130
174
+ },
175
+ {
176
+ "epoch": 1.11,
177
+ "learning_rate": 5.121396054628225e-07,
178
+ "loss": 1.9917,
179
+ "step": 135
180
+ },
181
+ {
182
+ "epoch": 1.15,
183
+ "learning_rate": 5.311077389984825e-07,
184
+ "loss": 1.9269,
185
+ "step": 140
186
+ },
187
+ {
188
+ "epoch": 1.19,
189
+ "learning_rate": 5.500758725341426e-07,
190
+ "loss": 2.0058,
191
+ "step": 145
192
+ },
193
+ {
194
+ "epoch": 1.23,
195
+ "learning_rate": 5.690440060698028e-07,
196
+ "loss": 1.9766,
197
+ "step": 150
198
+ },
199
+ {
200
+ "epoch": 1.27,
201
+ "learning_rate": 5.880121396054629e-07,
202
+ "loss": 2.0333,
203
+ "step": 155
204
+ },
205
+ {
206
+ "epoch": 1.31,
207
+ "learning_rate": 6.06980273141123e-07,
208
+ "loss": 1.948,
209
+ "step": 160
210
+ },
211
+ {
212
+ "epoch": 1.35,
213
+ "learning_rate": 6.259484066767831e-07,
214
+ "loss": 1.9442,
215
+ "step": 165
216
+ },
217
+ {
218
+ "epoch": 1.39,
219
+ "learning_rate": 6.449165402124431e-07,
220
+ "loss": 1.9335,
221
+ "step": 170
222
+ },
223
+ {
224
+ "epoch": 1.43,
225
+ "learning_rate": 6.638846737481032e-07,
226
+ "loss": 1.9478,
227
+ "step": 175
228
+ },
229
+ {
230
+ "epoch": 1.48,
231
+ "learning_rate": 6.828528072837633e-07,
232
+ "loss": 1.9518,
233
+ "step": 180
234
+ },
235
+ {
236
+ "epoch": 1.52,
237
+ "learning_rate": 7.018209408194235e-07,
238
+ "loss": 1.9652,
239
+ "step": 185
240
+ },
241
+ {
242
+ "epoch": 1.56,
243
+ "learning_rate": 7.207890743550835e-07,
244
+ "loss": 1.9323,
245
+ "step": 190
246
+ },
247
+ {
248
+ "epoch": 1.6,
249
+ "learning_rate": 7.397572078907436e-07,
250
+ "loss": 1.8917,
251
+ "step": 195
252
+ },
253
+ {
254
+ "epoch": 1.64,
255
+ "learning_rate": 7.587253414264036e-07,
256
+ "loss": 1.8973,
257
+ "step": 200
258
+ },
259
+ {
260
+ "epoch": 1.68,
261
+ "learning_rate": 7.776934749620638e-07,
262
+ "loss": 1.8717,
263
+ "step": 205
264
+ },
265
+ {
266
+ "epoch": 1.72,
267
+ "learning_rate": 7.966616084977239e-07,
268
+ "loss": 1.9361,
269
+ "step": 210
270
+ },
271
+ {
272
+ "epoch": 1.76,
273
+ "learning_rate": 8.156297420333841e-07,
274
+ "loss": 1.8694,
275
+ "step": 215
276
+ },
277
+ {
278
+ "epoch": 1.8,
279
+ "learning_rate": 8.345978755690441e-07,
280
+ "loss": 1.9716,
281
+ "step": 220
282
+ },
283
+ {
284
+ "epoch": 1.84,
285
+ "learning_rate": 8.535660091047042e-07,
286
+ "loss": 1.9019,
287
+ "step": 225
288
+ },
289
+ {
290
+ "epoch": 1.89,
291
+ "learning_rate": 8.725341426403643e-07,
292
+ "loss": 1.9313,
293
+ "step": 230
294
+ },
295
+ {
296
+ "epoch": 1.93,
297
+ "learning_rate": 8.915022761760243e-07,
298
+ "loss": 1.887,
299
+ "step": 235
300
+ },
301
+ {
302
+ "epoch": 1.97,
303
+ "learning_rate": 9.104704097116844e-07,
304
+ "loss": 1.8499,
305
+ "step": 240
306
+ },
307
+ {
308
+ "epoch": 2.0,
309
+ "eval_accuracy": 0.24563206577595068,
310
+ "eval_loss": 1.8666632175445557,
311
+ "eval_runtime": 5.443,
312
+ "eval_samples_per_second": 178.763,
313
+ "eval_steps_per_second": 11.207,
314
+ "step": 244
315
+ },
316
+ {
317
+ "epoch": 2.01,
318
+ "learning_rate": 9.294385432473445e-07,
319
+ "loss": 1.8892,
320
+ "step": 245
321
+ },
322
+ {
323
+ "epoch": 2.05,
324
+ "learning_rate": 9.484066767830046e-07,
325
+ "loss": 1.8887,
326
+ "step": 250
327
+ },
328
+ {
329
+ "epoch": 2.09,
330
+ "learning_rate": 9.673748103186647e-07,
331
+ "loss": 1.8473,
332
+ "step": 255
333
+ },
334
+ {
335
+ "epoch": 2.13,
336
+ "learning_rate": 9.863429438543249e-07,
337
+ "loss": 1.8769,
338
+ "step": 260
339
+ },
340
+ {
341
+ "epoch": 2.17,
342
+ "learning_rate": 1.005311077389985e-06,
343
+ "loss": 1.8652,
344
+ "step": 265
345
+ },
346
+ {
347
+ "epoch": 2.21,
348
+ "learning_rate": 1.024279210925645e-06,
349
+ "loss": 1.798,
350
+ "step": 270
351
+ },
352
+ {
353
+ "epoch": 2.25,
354
+ "learning_rate": 1.043247344461305e-06,
355
+ "loss": 1.8467,
356
+ "step": 275
357
+ },
358
+ {
359
+ "epoch": 2.3,
360
+ "learning_rate": 1.062215477996965e-06,
361
+ "loss": 1.7636,
362
+ "step": 280
363
+ },
364
+ {
365
+ "epoch": 2.34,
366
+ "learning_rate": 1.0811836115326254e-06,
367
+ "loss": 1.8451,
368
+ "step": 285
369
+ },
370
+ {
371
+ "epoch": 2.38,
372
+ "learning_rate": 1.1001517450682853e-06,
373
+ "loss": 1.8375,
374
+ "step": 290
375
+ },
376
+ {
377
+ "epoch": 2.42,
378
+ "learning_rate": 1.1191198786039454e-06,
379
+ "loss": 1.8289,
380
+ "step": 295
381
+ },
382
+ {
383
+ "epoch": 2.46,
384
+ "learning_rate": 1.1380880121396055e-06,
385
+ "loss": 1.756,
386
+ "step": 300
387
+ },
388
+ {
389
+ "epoch": 2.5,
390
+ "learning_rate": 1.1570561456752656e-06,
391
+ "loss": 1.8203,
392
+ "step": 305
393
+ },
394
+ {
395
+ "epoch": 2.54,
396
+ "learning_rate": 1.1760242792109257e-06,
397
+ "loss": 1.8125,
398
+ "step": 310
399
+ },
400
+ {
401
+ "epoch": 2.58,
402
+ "learning_rate": 1.1949924127465858e-06,
403
+ "loss": 1.8137,
404
+ "step": 315
405
+ },
406
+ {
407
+ "epoch": 2.62,
408
+ "learning_rate": 1.213960546282246e-06,
409
+ "loss": 1.7922,
410
+ "step": 320
411
+ },
412
+ {
413
+ "epoch": 2.66,
414
+ "learning_rate": 1.232928679817906e-06,
415
+ "loss": 1.8181,
416
+ "step": 325
417
+ },
418
+ {
419
+ "epoch": 2.7,
420
+ "learning_rate": 1.2518968133535662e-06,
421
+ "loss": 1.7922,
422
+ "step": 330
423
+ },
424
+ {
425
+ "epoch": 2.75,
426
+ "learning_rate": 1.2708649468892263e-06,
427
+ "loss": 1.7696,
428
+ "step": 335
429
+ },
430
+ {
431
+ "epoch": 2.79,
432
+ "learning_rate": 1.2898330804248862e-06,
433
+ "loss": 1.7614,
434
+ "step": 340
435
+ },
436
+ {
437
+ "epoch": 2.83,
438
+ "learning_rate": 1.3088012139605463e-06,
439
+ "loss": 1.7979,
440
+ "step": 345
441
+ },
442
+ {
443
+ "epoch": 2.87,
444
+ "learning_rate": 1.3277693474962064e-06,
445
+ "loss": 1.7467,
446
+ "step": 350
447
+ },
448
+ {
449
+ "epoch": 2.91,
450
+ "learning_rate": 1.3467374810318665e-06,
451
+ "loss": 1.7974,
452
+ "step": 355
453
+ },
454
+ {
455
+ "epoch": 2.95,
456
+ "learning_rate": 1.3657056145675266e-06,
457
+ "loss": 1.7483,
458
+ "step": 360
459
+ },
460
+ {
461
+ "epoch": 2.99,
462
+ "learning_rate": 1.384673748103187e-06,
463
+ "loss": 1.8024,
464
+ "step": 365
465
+ },
466
+ {
467
+ "epoch": 3.0,
468
+ "eval_accuracy": 0.37923946557040084,
469
+ "eval_loss": 1.7246524095535278,
470
+ "eval_runtime": 5.4824,
471
+ "eval_samples_per_second": 177.476,
472
+ "eval_steps_per_second": 11.126,
473
+ "step": 366
474
+ },
475
+ {
476
+ "epoch": 3.03,
477
+ "learning_rate": 1.403641881638847e-06,
478
+ "loss": 1.6331,
479
+ "step": 370
480
+ },
481
+ {
482
+ "epoch": 3.07,
483
+ "learning_rate": 1.422610015174507e-06,
484
+ "loss": 1.699,
485
+ "step": 375
486
+ },
487
+ {
488
+ "epoch": 3.11,
489
+ "learning_rate": 1.441578148710167e-06,
490
+ "loss": 1.7516,
491
+ "step": 380
492
+ },
493
+ {
494
+ "epoch": 3.16,
495
+ "learning_rate": 1.4605462822458272e-06,
496
+ "loss": 1.7463,
497
+ "step": 385
498
+ },
499
+ {
500
+ "epoch": 3.2,
501
+ "learning_rate": 1.4795144157814873e-06,
502
+ "loss": 1.7216,
503
+ "step": 390
504
+ },
505
+ {
506
+ "epoch": 3.24,
507
+ "learning_rate": 1.4984825493171474e-06,
508
+ "loss": 1.7106,
509
+ "step": 395
510
+ },
511
+ {
512
+ "epoch": 3.28,
513
+ "learning_rate": 1.5174506828528073e-06,
514
+ "loss": 1.6734,
515
+ "step": 400
516
+ },
517
+ {
518
+ "epoch": 3.32,
519
+ "learning_rate": 1.5364188163884674e-06,
520
+ "loss": 1.6436,
521
+ "step": 405
522
+ },
523
+ {
524
+ "epoch": 3.36,
525
+ "learning_rate": 1.5553869499241275e-06,
526
+ "loss": 1.6588,
527
+ "step": 410
528
+ },
529
+ {
530
+ "epoch": 3.4,
531
+ "learning_rate": 1.5743550834597876e-06,
532
+ "loss": 1.6423,
533
+ "step": 415
534
+ },
535
+ {
536
+ "epoch": 3.44,
537
+ "learning_rate": 1.5933232169954477e-06,
538
+ "loss": 1.5818,
539
+ "step": 420
540
+ },
541
+ {
542
+ "epoch": 3.48,
543
+ "learning_rate": 1.6122913505311078e-06,
544
+ "loss": 1.6783,
545
+ "step": 425
546
+ },
547
+ {
548
+ "epoch": 3.52,
549
+ "learning_rate": 1.6312594840667682e-06,
550
+ "loss": 1.6432,
551
+ "step": 430
552
+ },
553
+ {
554
+ "epoch": 3.57,
555
+ "learning_rate": 1.6502276176024283e-06,
556
+ "loss": 1.6706,
557
+ "step": 435
558
+ },
559
+ {
560
+ "epoch": 3.61,
561
+ "learning_rate": 1.6691957511380882e-06,
562
+ "loss": 1.6687,
563
+ "step": 440
564
+ },
565
+ {
566
+ "epoch": 3.65,
567
+ "learning_rate": 1.6881638846737483e-06,
568
+ "loss": 1.6264,
569
+ "step": 445
570
+ },
571
+ {
572
+ "epoch": 3.69,
573
+ "learning_rate": 1.7071320182094084e-06,
574
+ "loss": 1.6226,
575
+ "step": 450
576
+ },
577
+ {
578
+ "epoch": 3.73,
579
+ "learning_rate": 1.7261001517450685e-06,
580
+ "loss": 1.7115,
581
+ "step": 455
582
+ },
583
+ {
584
+ "epoch": 3.77,
585
+ "learning_rate": 1.7450682852807286e-06,
586
+ "loss": 1.6301,
587
+ "step": 460
588
+ },
589
+ {
590
+ "epoch": 3.81,
591
+ "learning_rate": 1.7640364188163885e-06,
592
+ "loss": 1.6291,
593
+ "step": 465
594
+ },
595
+ {
596
+ "epoch": 3.85,
597
+ "learning_rate": 1.7830045523520486e-06,
598
+ "loss": 1.6008,
599
+ "step": 470
600
+ },
601
+ {
602
+ "epoch": 3.89,
603
+ "learning_rate": 1.8019726858877087e-06,
604
+ "loss": 1.5817,
605
+ "step": 475
606
+ },
607
+ {
608
+ "epoch": 3.93,
609
+ "learning_rate": 1.8209408194233688e-06,
610
+ "loss": 1.6208,
611
+ "step": 480
612
+ },
613
+ {
614
+ "epoch": 3.98,
615
+ "learning_rate": 1.839908952959029e-06,
616
+ "loss": 1.5952,
617
+ "step": 485
618
+ },
619
+ {
620
+ "epoch": 4.0,
621
+ "eval_accuracy": 0.48612538540596095,
622
+ "eval_loss": 1.5539824962615967,
623
+ "eval_runtime": 5.5954,
624
+ "eval_samples_per_second": 173.892,
625
+ "eval_steps_per_second": 10.902,
626
+ "step": 488
627
+ },
628
+ {
629
+ "epoch": 4.02,
630
+ "learning_rate": 1.858877086494689e-06,
631
+ "loss": 1.5884,
632
+ "step": 490
633
+ },
634
+ {
635
+ "epoch": 4.06,
636
+ "learning_rate": 1.8778452200303494e-06,
637
+ "loss": 1.5637,
638
+ "step": 495
639
+ },
640
+ {
641
+ "epoch": 4.1,
642
+ "learning_rate": 1.8968133535660093e-06,
643
+ "loss": 1.5989,
644
+ "step": 500
645
+ },
646
+ {
647
+ "epoch": 4.14,
648
+ "learning_rate": 1.9157814871016696e-06,
649
+ "loss": 1.5478,
650
+ "step": 505
651
+ },
652
+ {
653
+ "epoch": 4.18,
654
+ "learning_rate": 1.9347496206373295e-06,
655
+ "loss": 1.5079,
656
+ "step": 510
657
+ },
658
+ {
659
+ "epoch": 4.22,
660
+ "learning_rate": 1.9537177541729894e-06,
661
+ "loss": 1.5757,
662
+ "step": 515
663
+ },
664
+ {
665
+ "epoch": 4.26,
666
+ "learning_rate": 1.9726858877086497e-06,
667
+ "loss": 1.495,
668
+ "step": 520
669
+ },
670
+ {
671
+ "epoch": 4.3,
672
+ "learning_rate": 1.9916540212443096e-06,
673
+ "loss": 1.5159,
674
+ "step": 525
675
+ },
676
+ {
677
+ "epoch": 4.34,
678
+ "learning_rate": 2.01062215477997e-06,
679
+ "loss": 1.5065,
680
+ "step": 530
681
+ },
682
+ {
683
+ "epoch": 4.39,
684
+ "learning_rate": 2.02959028831563e-06,
685
+ "loss": 1.4111,
686
+ "step": 535
687
+ },
688
+ {
689
+ "epoch": 4.43,
690
+ "learning_rate": 2.04855842185129e-06,
691
+ "loss": 1.5118,
692
+ "step": 540
693
+ },
694
+ {
695
+ "epoch": 4.47,
696
+ "learning_rate": 2.06752655538695e-06,
697
+ "loss": 1.4989,
698
+ "step": 545
699
+ },
700
+ {
701
+ "epoch": 4.51,
702
+ "learning_rate": 2.08649468892261e-06,
703
+ "loss": 1.4438,
704
+ "step": 550
705
+ },
706
+ {
707
+ "epoch": 4.55,
708
+ "learning_rate": 2.1054628224582703e-06,
709
+ "loss": 1.469,
710
+ "step": 555
711
+ },
712
+ {
713
+ "epoch": 4.59,
714
+ "learning_rate": 2.12443095599393e-06,
715
+ "loss": 1.4363,
716
+ "step": 560
717
+ },
718
+ {
719
+ "epoch": 4.63,
720
+ "learning_rate": 2.1433990895295905e-06,
721
+ "loss": 1.3541,
722
+ "step": 565
723
+ },
724
+ {
725
+ "epoch": 4.67,
726
+ "learning_rate": 2.162367223065251e-06,
727
+ "loss": 1.4832,
728
+ "step": 570
729
+ },
730
+ {
731
+ "epoch": 4.71,
732
+ "learning_rate": 2.1813353566009107e-06,
733
+ "loss": 1.5036,
734
+ "step": 575
735
+ },
736
+ {
737
+ "epoch": 4.75,
738
+ "learning_rate": 2.2003034901365706e-06,
739
+ "loss": 1.3954,
740
+ "step": 580
741
+ },
742
+ {
743
+ "epoch": 4.8,
744
+ "learning_rate": 2.219271623672231e-06,
745
+ "loss": 1.4314,
746
+ "step": 585
747
+ },
748
+ {
749
+ "epoch": 4.84,
750
+ "learning_rate": 2.238239757207891e-06,
751
+ "loss": 1.3898,
752
+ "step": 590
753
+ },
754
+ {
755
+ "epoch": 4.88,
756
+ "learning_rate": 2.257207890743551e-06,
757
+ "loss": 1.3733,
758
+ "step": 595
759
+ },
760
+ {
761
+ "epoch": 4.92,
762
+ "learning_rate": 2.276176024279211e-06,
763
+ "loss": 1.4053,
764
+ "step": 600
765
+ },
766
+ {
767
+ "epoch": 4.96,
768
+ "learning_rate": 2.2951441578148714e-06,
769
+ "loss": 1.3945,
770
+ "step": 605
771
+ },
772
+ {
773
+ "epoch": 5.0,
774
+ "learning_rate": 2.3141122913505313e-06,
775
+ "loss": 1.3867,
776
+ "step": 610
777
+ },
778
+ {
779
+ "epoch": 5.0,
780
+ "eval_accuracy": 0.5549845837615622,
781
+ "eval_loss": 1.3568464517593384,
782
+ "eval_runtime": 5.4729,
783
+ "eval_samples_per_second": 177.784,
784
+ "eval_steps_per_second": 11.146,
785
+ "step": 610
786
+ },
787
+ {
788
+ "epoch": 5.04,
789
+ "learning_rate": 2.333080424886191e-06,
790
+ "loss": 1.3388,
791
+ "step": 615
792
+ },
793
+ {
794
+ "epoch": 5.08,
795
+ "learning_rate": 2.3520485584218515e-06,
796
+ "loss": 1.3141,
797
+ "step": 620
798
+ },
799
+ {
800
+ "epoch": 5.12,
801
+ "learning_rate": 2.3710166919575114e-06,
802
+ "loss": 1.337,
803
+ "step": 625
804
+ },
805
+ {
806
+ "epoch": 5.16,
807
+ "learning_rate": 2.3899848254931717e-06,
808
+ "loss": 1.3374,
809
+ "step": 630
810
+ },
811
+ {
812
+ "epoch": 5.2,
813
+ "learning_rate": 2.408952959028832e-06,
814
+ "loss": 1.3687,
815
+ "step": 635
816
+ },
817
+ {
818
+ "epoch": 5.25,
819
+ "learning_rate": 2.427921092564492e-06,
820
+ "loss": 1.3385,
821
+ "step": 640
822
+ },
823
+ {
824
+ "epoch": 5.29,
825
+ "learning_rate": 2.446889226100152e-06,
826
+ "loss": 1.2406,
827
+ "step": 645
828
+ },
829
+ {
830
+ "epoch": 5.33,
831
+ "learning_rate": 2.465857359635812e-06,
832
+ "loss": 1.2842,
833
+ "step": 650
834
+ },
835
+ {
836
+ "epoch": 5.37,
837
+ "learning_rate": 2.484825493171472e-06,
838
+ "loss": 1.2734,
839
+ "step": 655
840
+ },
841
+ {
842
+ "epoch": 5.41,
843
+ "learning_rate": 2.5037936267071324e-06,
844
+ "loss": 1.3318,
845
+ "step": 660
846
+ },
847
+ {
848
+ "epoch": 5.45,
849
+ "learning_rate": 2.5227617602427923e-06,
850
+ "loss": 1.2897,
851
+ "step": 665
852
+ },
853
+ {
854
+ "epoch": 5.49,
855
+ "learning_rate": 2.5417298937784526e-06,
856
+ "loss": 1.1894,
857
+ "step": 670
858
+ },
859
+ {
860
+ "epoch": 5.53,
861
+ "learning_rate": 2.5606980273141125e-06,
862
+ "loss": 1.2152,
863
+ "step": 675
864
+ },
865
+ {
866
+ "epoch": 5.57,
867
+ "learning_rate": 2.5796661608497724e-06,
868
+ "loss": 1.3102,
869
+ "step": 680
870
+ },
871
+ {
872
+ "epoch": 5.61,
873
+ "learning_rate": 2.5986342943854327e-06,
874
+ "loss": 1.2221,
875
+ "step": 685
876
+ },
877
+ {
878
+ "epoch": 5.66,
879
+ "learning_rate": 2.6176024279210926e-06,
880
+ "loss": 1.2936,
881
+ "step": 690
882
+ },
883
+ {
884
+ "epoch": 5.7,
885
+ "learning_rate": 2.636570561456753e-06,
886
+ "loss": 1.2431,
887
+ "step": 695
888
+ },
889
+ {
890
+ "epoch": 5.74,
891
+ "learning_rate": 2.655538694992413e-06,
892
+ "loss": 1.1876,
893
+ "step": 700
894
+ },
895
+ {
896
+ "epoch": 5.78,
897
+ "learning_rate": 2.6745068285280727e-06,
898
+ "loss": 1.1703,
899
+ "step": 705
900
+ },
901
+ {
902
+ "epoch": 5.82,
903
+ "learning_rate": 2.693474962063733e-06,
904
+ "loss": 1.1677,
905
+ "step": 710
906
+ },
907
+ {
908
+ "epoch": 5.86,
909
+ "learning_rate": 2.712443095599393e-06,
910
+ "loss": 1.215,
911
+ "step": 715
912
+ },
913
+ {
914
+ "epoch": 5.9,
915
+ "learning_rate": 2.7314112291350532e-06,
916
+ "loss": 1.2071,
917
+ "step": 720
918
+ },
919
+ {
920
+ "epoch": 5.94,
921
+ "learning_rate": 2.7503793626707136e-06,
922
+ "loss": 1.2239,
923
+ "step": 725
924
+ },
925
+ {
926
+ "epoch": 5.98,
927
+ "learning_rate": 2.769347496206374e-06,
928
+ "loss": 1.1846,
929
+ "step": 730
930
+ },
931
+ {
932
+ "epoch": 6.0,
933
+ "eval_accuracy": 0.6372045220966084,
934
+ "eval_loss": 1.1521209478378296,
935
+ "eval_runtime": 5.5004,
936
+ "eval_samples_per_second": 176.897,
937
+ "eval_steps_per_second": 11.09,
938
+ "step": 732
939
+ },
940
+ {
941
+ "epoch": 6.02,
942
+ "learning_rate": 2.7883156297420338e-06,
943
+ "loss": 1.2198,
944
+ "step": 735
945
+ },
946
+ {
947
+ "epoch": 6.07,
948
+ "learning_rate": 2.807283763277694e-06,
949
+ "loss": 1.1424,
950
+ "step": 740
951
+ },
952
+ {
953
+ "epoch": 6.11,
954
+ "learning_rate": 2.826251896813354e-06,
955
+ "loss": 1.1408,
956
+ "step": 745
957
+ },
958
+ {
959
+ "epoch": 6.15,
960
+ "learning_rate": 2.845220030349014e-06,
961
+ "loss": 1.1362,
962
+ "step": 750
963
+ },
964
+ {
965
+ "epoch": 6.19,
966
+ "learning_rate": 2.8641881638846742e-06,
967
+ "loss": 1.1493,
968
+ "step": 755
969
+ },
970
+ {
971
+ "epoch": 6.23,
972
+ "learning_rate": 2.883156297420334e-06,
973
+ "loss": 1.0286,
974
+ "step": 760
975
+ },
976
+ {
977
+ "epoch": 6.27,
978
+ "learning_rate": 2.9021244309559944e-06,
979
+ "loss": 1.1429,
980
+ "step": 765
981
+ },
982
+ {
983
+ "epoch": 6.31,
984
+ "learning_rate": 2.9210925644916543e-06,
985
+ "loss": 1.1113,
986
+ "step": 770
987
+ },
988
+ {
989
+ "epoch": 6.35,
990
+ "learning_rate": 2.9400606980273142e-06,
991
+ "loss": 1.1336,
992
+ "step": 775
993
+ },
994
+ {
995
+ "epoch": 6.39,
996
+ "learning_rate": 2.9590288315629746e-06,
997
+ "loss": 1.1171,
998
+ "step": 780
999
+ },
1000
+ {
1001
+ "epoch": 6.43,
1002
+ "learning_rate": 2.9779969650986345e-06,
1003
+ "loss": 1.2444,
1004
+ "step": 785
1005
+ },
1006
+ {
1007
+ "epoch": 6.48,
1008
+ "learning_rate": 2.9969650986342948e-06,
1009
+ "loss": 1.0057,
1010
+ "step": 790
1011
+ },
1012
+ {
1013
+ "epoch": 6.52,
1014
+ "learning_rate": 3.0159332321699547e-06,
1015
+ "loss": 1.0284,
1016
+ "step": 795
1017
+ },
1018
+ {
1019
+ "epoch": 6.56,
1020
+ "learning_rate": 3.0349013657056146e-06,
1021
+ "loss": 1.0093,
1022
+ "step": 800
1023
+ },
1024
+ {
1025
+ "epoch": 6.6,
1026
+ "learning_rate": 3.053869499241275e-06,
1027
+ "loss": 1.1139,
1028
+ "step": 805
1029
+ },
1030
+ {
1031
+ "epoch": 6.64,
1032
+ "learning_rate": 3.072837632776935e-06,
1033
+ "loss": 1.0426,
1034
+ "step": 810
1035
+ },
1036
+ {
1037
+ "epoch": 6.68,
1038
+ "learning_rate": 3.091805766312595e-06,
1039
+ "loss": 1.0411,
1040
+ "step": 815
1041
+ },
1042
+ {
1043
+ "epoch": 6.72,
1044
+ "learning_rate": 3.110773899848255e-06,
1045
+ "loss": 0.9774,
1046
+ "step": 820
1047
+ },
1048
+ {
1049
+ "epoch": 6.76,
1050
+ "learning_rate": 3.1297420333839153e-06,
1051
+ "loss": 1.0463,
1052
+ "step": 825
1053
+ },
1054
+ {
1055
+ "epoch": 6.8,
1056
+ "learning_rate": 3.1487101669195752e-06,
1057
+ "loss": 1.0936,
1058
+ "step": 830
1059
+ },
1060
+ {
1061
+ "epoch": 6.84,
1062
+ "learning_rate": 3.167678300455235e-06,
1063
+ "loss": 1.0528,
1064
+ "step": 835
1065
+ },
1066
+ {
1067
+ "epoch": 6.89,
1068
+ "learning_rate": 3.1866464339908955e-06,
1069
+ "loss": 0.9179,
1070
+ "step": 840
1071
+ },
1072
+ {
1073
+ "epoch": 6.93,
1074
+ "learning_rate": 3.2056145675265554e-06,
1075
+ "loss": 1.0432,
1076
+ "step": 845
1077
+ },
1078
+ {
1079
+ "epoch": 6.97,
1080
+ "learning_rate": 3.2245827010622157e-06,
1081
+ "loss": 1.0063,
1082
+ "step": 850
1083
+ },
1084
+ {
1085
+ "epoch": 7.0,
1086
+ "eval_accuracy": 0.6824254881808839,
1087
+ "eval_loss": 0.9649463891983032,
1088
+ "eval_runtime": 5.5867,
1089
+ "eval_samples_per_second": 174.163,
1090
+ "eval_steps_per_second": 10.919,
1091
+ "step": 854
1092
+ },
1093
+ {
1094
+ "epoch": 7.01,
1095
+ "learning_rate": 3.2435508345978756e-06,
1096
+ "loss": 0.9927,
1097
+ "step": 855
1098
+ },
1099
+ {
1100
+ "epoch": 7.05,
1101
+ "learning_rate": 3.2625189681335363e-06,
1102
+ "loss": 0.8729,
1103
+ "step": 860
1104
+ },
1105
+ {
1106
+ "epoch": 7.09,
1107
+ "learning_rate": 3.2814871016691962e-06,
1108
+ "loss": 0.938,
1109
+ "step": 865
1110
+ },
1111
+ {
1112
+ "epoch": 7.13,
1113
+ "learning_rate": 3.3004552352048565e-06,
1114
+ "loss": 0.9457,
1115
+ "step": 870
1116
+ },
1117
+ {
1118
+ "epoch": 7.17,
1119
+ "learning_rate": 3.3194233687405164e-06,
1120
+ "loss": 0.9752,
1121
+ "step": 875
1122
+ },
1123
+ {
1124
+ "epoch": 7.21,
1125
+ "learning_rate": 3.3383915022761763e-06,
1126
+ "loss": 0.979,
1127
+ "step": 880
1128
+ },
1129
+ {
1130
+ "epoch": 7.25,
1131
+ "learning_rate": 3.3573596358118367e-06,
1132
+ "loss": 0.9645,
1133
+ "step": 885
1134
+ },
1135
+ {
1136
+ "epoch": 7.3,
1137
+ "learning_rate": 3.3763277693474965e-06,
1138
+ "loss": 0.9079,
1139
+ "step": 890
1140
+ },
1141
+ {
1142
+ "epoch": 7.34,
1143
+ "learning_rate": 3.395295902883157e-06,
1144
+ "loss": 0.9343,
1145
+ "step": 895
1146
+ },
1147
+ {
1148
+ "epoch": 7.38,
1149
+ "learning_rate": 3.4142640364188168e-06,
1150
+ "loss": 0.9246,
1151
+ "step": 900
1152
+ },
1153
+ {
1154
+ "epoch": 7.42,
1155
+ "learning_rate": 3.4332321699544767e-06,
1156
+ "loss": 0.9111,
1157
+ "step": 905
1158
+ },
1159
+ {
1160
+ "epoch": 7.46,
1161
+ "learning_rate": 3.452200303490137e-06,
1162
+ "loss": 1.0186,
1163
+ "step": 910
1164
+ },
1165
+ {
1166
+ "epoch": 7.5,
1167
+ "learning_rate": 3.471168437025797e-06,
1168
+ "loss": 0.8782,
1169
+ "step": 915
1170
+ },
1171
+ {
1172
+ "epoch": 7.54,
1173
+ "learning_rate": 3.490136570561457e-06,
1174
+ "loss": 0.9733,
1175
+ "step": 920
1176
+ },
1177
+ {
1178
+ "epoch": 7.58,
1179
+ "learning_rate": 3.509104704097117e-06,
1180
+ "loss": 0.9269,
1181
+ "step": 925
1182
+ },
1183
+ {
1184
+ "epoch": 7.62,
1185
+ "learning_rate": 3.528072837632777e-06,
1186
+ "loss": 0.9199,
1187
+ "step": 930
1188
+ },
1189
+ {
1190
+ "epoch": 7.66,
1191
+ "learning_rate": 3.5470409711684373e-06,
1192
+ "loss": 0.8964,
1193
+ "step": 935
1194
+ },
1195
+ {
1196
+ "epoch": 7.7,
1197
+ "learning_rate": 3.5660091047040972e-06,
1198
+ "loss": 0.849,
1199
+ "step": 940
1200
+ },
1201
+ {
1202
+ "epoch": 7.75,
1203
+ "learning_rate": 3.5849772382397575e-06,
1204
+ "loss": 0.9597,
1205
+ "step": 945
1206
+ },
1207
+ {
1208
+ "epoch": 7.79,
1209
+ "learning_rate": 3.6039453717754174e-06,
1210
+ "loss": 0.8816,
1211
+ "step": 950
1212
+ },
1213
+ {
1214
+ "epoch": 7.83,
1215
+ "learning_rate": 3.6229135053110773e-06,
1216
+ "loss": 0.8838,
1217
+ "step": 955
1218
+ },
1219
+ {
1220
+ "epoch": 7.87,
1221
+ "learning_rate": 3.6418816388467377e-06,
1222
+ "loss": 0.8685,
1223
+ "step": 960
1224
+ },
1225
+ {
1226
+ "epoch": 7.91,
1227
+ "learning_rate": 3.6608497723823976e-06,
1228
+ "loss": 0.8977,
1229
+ "step": 965
1230
+ },
1231
+ {
1232
+ "epoch": 7.95,
1233
+ "learning_rate": 3.679817905918058e-06,
1234
+ "loss": 0.8598,
1235
+ "step": 970
1236
+ },
1237
+ {
1238
+ "epoch": 7.99,
1239
+ "learning_rate": 3.6987860394537178e-06,
1240
+ "loss": 0.8932,
1241
+ "step": 975
1242
+ },
1243
+ {
1244
+ "epoch": 8.0,
1245
+ "eval_accuracy": 0.7307297019527236,
1246
+ "eval_loss": 0.8284448981285095,
1247
+ "eval_runtime": 5.579,
1248
+ "eval_samples_per_second": 174.404,
1249
+ "eval_steps_per_second": 10.934,
1250
+ "step": 976
1251
+ },
1252
+ {
1253
+ "epoch": 8.03,
1254
+ "learning_rate": 3.717754172989378e-06,
1255
+ "loss": 0.8395,
1256
+ "step": 980
1257
+ },
1258
+ {
1259
+ "epoch": 8.07,
1260
+ "learning_rate": 3.736722306525038e-06,
1261
+ "loss": 0.827,
1262
+ "step": 985
1263
+ },
1264
+ {
1265
+ "epoch": 8.11,
1266
+ "learning_rate": 3.7556904400606987e-06,
1267
+ "loss": 0.8556,
1268
+ "step": 990
1269
+ },
1270
+ {
1271
+ "epoch": 8.16,
1272
+ "learning_rate": 3.7746585735963586e-06,
1273
+ "loss": 0.7637,
1274
+ "step": 995
1275
+ },
1276
+ {
1277
+ "epoch": 8.2,
1278
+ "learning_rate": 3.7936267071320185e-06,
1279
+ "loss": 0.8405,
1280
+ "step": 1000
1281
+ },
1282
+ {
1283
+ "epoch": 8.24,
1284
+ "learning_rate": 3.812594840667679e-06,
1285
+ "loss": 0.8749,
1286
+ "step": 1005
1287
+ },
1288
+ {
1289
+ "epoch": 8.28,
1290
+ "learning_rate": 3.831562974203339e-06,
1291
+ "loss": 0.7677,
1292
+ "step": 1010
1293
+ },
1294
+ {
1295
+ "epoch": 8.32,
1296
+ "learning_rate": 3.850531107738999e-06,
1297
+ "loss": 0.8192,
1298
+ "step": 1015
1299
+ },
1300
+ {
1301
+ "epoch": 8.36,
1302
+ "learning_rate": 3.869499241274659e-06,
1303
+ "loss": 0.8431,
1304
+ "step": 1020
1305
+ },
1306
+ {
1307
+ "epoch": 8.4,
1308
+ "learning_rate": 3.888467374810319e-06,
1309
+ "loss": 0.7641,
1310
+ "step": 1025
1311
+ },
1312
+ {
1313
+ "epoch": 8.44,
1314
+ "learning_rate": 3.907435508345979e-06,
1315
+ "loss": 0.8932,
1316
+ "step": 1030
1317
+ },
1318
+ {
1319
+ "epoch": 8.48,
1320
+ "learning_rate": 3.9264036418816395e-06,
1321
+ "loss": 0.8155,
1322
+ "step": 1035
1323
+ },
1324
+ {
1325
+ "epoch": 8.52,
1326
+ "learning_rate": 3.945371775417299e-06,
1327
+ "loss": 0.789,
1328
+ "step": 1040
1329
+ },
1330
+ {
1331
+ "epoch": 8.57,
1332
+ "learning_rate": 3.964339908952959e-06,
1333
+ "loss": 0.8227,
1334
+ "step": 1045
1335
+ },
1336
+ {
1337
+ "epoch": 8.61,
1338
+ "learning_rate": 3.983308042488619e-06,
1339
+ "loss": 0.788,
1340
+ "step": 1050
1341
+ },
1342
+ {
1343
+ "epoch": 8.65,
1344
+ "learning_rate": 4.00227617602428e-06,
1345
+ "loss": 0.8094,
1346
+ "step": 1055
1347
+ },
1348
+ {
1349
+ "epoch": 8.69,
1350
+ "learning_rate": 4.02124430955994e-06,
1351
+ "loss": 0.7638,
1352
+ "step": 1060
1353
+ },
1354
+ {
1355
+ "epoch": 8.73,
1356
+ "learning_rate": 4.0402124430956e-06,
1357
+ "loss": 0.8325,
1358
+ "step": 1065
1359
+ },
1360
+ {
1361
+ "epoch": 8.77,
1362
+ "learning_rate": 4.05918057663126e-06,
1363
+ "loss": 0.7966,
1364
+ "step": 1070
1365
+ },
1366
+ {
1367
+ "epoch": 8.81,
1368
+ "learning_rate": 4.0781487101669195e-06,
1369
+ "loss": 0.7768,
1370
+ "step": 1075
1371
+ },
1372
+ {
1373
+ "epoch": 8.85,
1374
+ "learning_rate": 4.09711684370258e-06,
1375
+ "loss": 0.7694,
1376
+ "step": 1080
1377
+ },
1378
+ {
1379
+ "epoch": 8.89,
1380
+ "learning_rate": 4.11608497723824e-06,
1381
+ "loss": 0.8056,
1382
+ "step": 1085
1383
+ },
1384
+ {
1385
+ "epoch": 8.93,
1386
+ "learning_rate": 4.1350531107739e-06,
1387
+ "loss": 0.9008,
1388
+ "step": 1090
1389
+ },
1390
+ {
1391
+ "epoch": 8.98,
1392
+ "learning_rate": 4.15402124430956e-06,
1393
+ "loss": 0.7576,
1394
+ "step": 1095
1395
+ },
1396
+ {
1397
+ "epoch": 9.0,
1398
+ "eval_accuracy": 0.7780061664953751,
1399
+ "eval_loss": 0.7217260003089905,
1400
+ "eval_runtime": 5.5246,
1401
+ "eval_samples_per_second": 176.122,
1402
+ "eval_steps_per_second": 11.042,
1403
+ "step": 1098
1404
+ },
1405
+ {
1406
+ "epoch": 9.02,
1407
+ "learning_rate": 4.17298937784522e-06,
1408
+ "loss": 0.8358,
1409
+ "step": 1100
1410
+ },
1411
+ {
1412
+ "epoch": 9.06,
1413
+ "learning_rate": 4.191957511380881e-06,
1414
+ "loss": 0.8025,
1415
+ "step": 1105
1416
+ },
1417
+ {
1418
+ "epoch": 9.1,
1419
+ "learning_rate": 4.2109256449165405e-06,
1420
+ "loss": 0.7243,
1421
+ "step": 1110
1422
+ },
1423
+ {
1424
+ "epoch": 9.14,
1425
+ "learning_rate": 4.2298937784522004e-06,
1426
+ "loss": 0.7422,
1427
+ "step": 1115
1428
+ },
1429
+ {
1430
+ "epoch": 9.18,
1431
+ "learning_rate": 4.24886191198786e-06,
1432
+ "loss": 0.6503,
1433
+ "step": 1120
1434
+ },
1435
+ {
1436
+ "epoch": 9.22,
1437
+ "learning_rate": 4.267830045523521e-06,
1438
+ "loss": 0.8027,
1439
+ "step": 1125
1440
+ },
1441
+ {
1442
+ "epoch": 9.26,
1443
+ "learning_rate": 4.286798179059181e-06,
1444
+ "loss": 0.7721,
1445
+ "step": 1130
1446
+ },
1447
+ {
1448
+ "epoch": 9.3,
1449
+ "learning_rate": 4.305766312594841e-06,
1450
+ "loss": 0.7889,
1451
+ "step": 1135
1452
+ },
1453
+ {
1454
+ "epoch": 9.34,
1455
+ "learning_rate": 4.324734446130502e-06,
1456
+ "loss": 0.6659,
1457
+ "step": 1140
1458
+ },
1459
+ {
1460
+ "epoch": 9.39,
1461
+ "learning_rate": 4.3437025796661615e-06,
1462
+ "loss": 0.7961,
1463
+ "step": 1145
1464
+ },
1465
+ {
1466
+ "epoch": 9.43,
1467
+ "learning_rate": 4.362670713201821e-06,
1468
+ "loss": 0.7102,
1469
+ "step": 1150
1470
+ },
1471
+ {
1472
+ "epoch": 9.47,
1473
+ "learning_rate": 4.381638846737481e-06,
1474
+ "loss": 0.7001,
1475
+ "step": 1155
1476
+ },
1477
+ {
1478
+ "epoch": 9.51,
1479
+ "learning_rate": 4.400606980273141e-06,
1480
+ "loss": 0.7438,
1481
+ "step": 1160
1482
+ },
1483
+ {
1484
+ "epoch": 9.55,
1485
+ "learning_rate": 4.419575113808802e-06,
1486
+ "loss": 0.8474,
1487
+ "step": 1165
1488
+ },
1489
+ {
1490
+ "epoch": 9.59,
1491
+ "learning_rate": 4.438543247344462e-06,
1492
+ "loss": 0.6325,
1493
+ "step": 1170
1494
+ },
1495
+ {
1496
+ "epoch": 9.63,
1497
+ "learning_rate": 4.457511380880122e-06,
1498
+ "loss": 0.6162,
1499
+ "step": 1175
1500
+ },
1501
+ {
1502
+ "epoch": 9.67,
1503
+ "learning_rate": 4.476479514415782e-06,
1504
+ "loss": 0.7161,
1505
+ "step": 1180
1506
+ },
1507
+ {
1508
+ "epoch": 9.71,
1509
+ "learning_rate": 4.4954476479514415e-06,
1510
+ "loss": 0.6548,
1511
+ "step": 1185
1512
+ },
1513
+ {
1514
+ "epoch": 9.75,
1515
+ "learning_rate": 4.514415781487102e-06,
1516
+ "loss": 0.7685,
1517
+ "step": 1190
1518
+ },
1519
+ {
1520
+ "epoch": 9.8,
1521
+ "learning_rate": 4.533383915022762e-06,
1522
+ "loss": 0.7216,
1523
+ "step": 1195
1524
+ },
1525
+ {
1526
+ "epoch": 9.84,
1527
+ "learning_rate": 4.552352048558422e-06,
1528
+ "loss": 0.7184,
1529
+ "step": 1200
1530
+ },
1531
+ {
1532
+ "epoch": 9.88,
1533
+ "learning_rate": 4.571320182094082e-06,
1534
+ "loss": 0.7909,
1535
+ "step": 1205
1536
+ },
1537
+ {
1538
+ "epoch": 9.92,
1539
+ "learning_rate": 4.590288315629743e-06,
1540
+ "loss": 0.6041,
1541
+ "step": 1210
1542
+ },
1543
+ {
1544
+ "epoch": 9.96,
1545
+ "learning_rate": 4.609256449165403e-06,
1546
+ "loss": 0.6572,
1547
+ "step": 1215
1548
+ },
1549
+ {
1550
+ "epoch": 10.0,
1551
+ "learning_rate": 4.6282245827010625e-06,
1552
+ "loss": 0.6742,
1553
+ "step": 1220
1554
+ },
1555
+ {
1556
+ "epoch": 10.0,
1557
+ "eval_accuracy": 0.7923946557040082,
1558
+ "eval_loss": 0.6411532759666443,
1559
+ "eval_runtime": 5.5151,
1560
+ "eval_samples_per_second": 176.423,
1561
+ "eval_steps_per_second": 11.06,
1562
+ "step": 1220
1563
+ },
1564
+ {
1565
+ "epoch": 10.04,
1566
+ "learning_rate": 4.647192716236722e-06,
1567
+ "loss": 0.6705,
1568
+ "step": 1225
1569
+ },
1570
+ {
1571
+ "epoch": 10.08,
1572
+ "learning_rate": 4.666160849772382e-06,
1573
+ "loss": 0.8139,
1574
+ "step": 1230
1575
+ },
1576
+ {
1577
+ "epoch": 10.12,
1578
+ "learning_rate": 4.685128983308043e-06,
1579
+ "loss": 0.7255,
1580
+ "step": 1235
1581
+ },
1582
+ {
1583
+ "epoch": 10.16,
1584
+ "learning_rate": 4.704097116843703e-06,
1585
+ "loss": 0.6437,
1586
+ "step": 1240
1587
+ },
1588
+ {
1589
+ "epoch": 10.2,
1590
+ "learning_rate": 4.723065250379363e-06,
1591
+ "loss": 0.6594,
1592
+ "step": 1245
1593
+ },
1594
+ {
1595
+ "epoch": 10.25,
1596
+ "learning_rate": 4.742033383915023e-06,
1597
+ "loss": 0.7319,
1598
+ "step": 1250
1599
+ },
1600
+ {
1601
+ "epoch": 10.29,
1602
+ "learning_rate": 4.7610015174506835e-06,
1603
+ "loss": 0.6408,
1604
+ "step": 1255
1605
+ },
1606
+ {
1607
+ "epoch": 10.33,
1608
+ "learning_rate": 4.779969650986343e-06,
1609
+ "loss": 0.6922,
1610
+ "step": 1260
1611
+ },
1612
+ {
1613
+ "epoch": 10.37,
1614
+ "learning_rate": 4.798937784522003e-06,
1615
+ "loss": 0.5613,
1616
+ "step": 1265
1617
+ },
1618
+ {
1619
+ "epoch": 10.41,
1620
+ "learning_rate": 4.817905918057664e-06,
1621
+ "loss": 0.6178,
1622
+ "step": 1270
1623
+ },
1624
+ {
1625
+ "epoch": 10.45,
1626
+ "learning_rate": 4.836874051593324e-06,
1627
+ "loss": 0.651,
1628
+ "step": 1275
1629
+ },
1630
+ {
1631
+ "epoch": 10.49,
1632
+ "learning_rate": 4.855842185128984e-06,
1633
+ "loss": 0.6139,
1634
+ "step": 1280
1635
+ },
1636
+ {
1637
+ "epoch": 10.53,
1638
+ "learning_rate": 4.874810318664644e-06,
1639
+ "loss": 0.5995,
1640
+ "step": 1285
1641
+ },
1642
+ {
1643
+ "epoch": 10.57,
1644
+ "learning_rate": 4.893778452200304e-06,
1645
+ "loss": 0.6759,
1646
+ "step": 1290
1647
+ },
1648
+ {
1649
+ "epoch": 10.61,
1650
+ "learning_rate": 4.912746585735964e-06,
1651
+ "loss": 0.5631,
1652
+ "step": 1295
1653
+ },
1654
+ {
1655
+ "epoch": 10.66,
1656
+ "learning_rate": 4.931714719271624e-06,
1657
+ "loss": 0.6437,
1658
+ "step": 1300
1659
+ },
1660
+ {
1661
+ "epoch": 10.7,
1662
+ "learning_rate": 4.950682852807284e-06,
1663
+ "loss": 0.6328,
1664
+ "step": 1305
1665
+ },
1666
+ {
1667
+ "epoch": 10.74,
1668
+ "learning_rate": 4.969650986342944e-06,
1669
+ "loss": 0.5672,
1670
+ "step": 1310
1671
+ },
1672
+ {
1673
+ "epoch": 10.78,
1674
+ "learning_rate": 4.988619119878604e-06,
1675
+ "loss": 0.6716,
1676
+ "step": 1315
1677
+ },
1678
+ {
1679
+ "epoch": 10.82,
1680
+ "learning_rate": 4.931506849315069e-06,
1681
+ "loss": 0.6037,
1682
+ "step": 1320
1683
+ },
1684
+ {
1685
+ "epoch": 10.86,
1686
+ "learning_rate": 4.76027397260274e-06,
1687
+ "loss": 0.6432,
1688
+ "step": 1325
1689
+ },
1690
+ {
1691
+ "epoch": 10.9,
1692
+ "learning_rate": 4.589041095890411e-06,
1693
+ "loss": 0.7613,
1694
+ "step": 1330
1695
+ },
1696
+ {
1697
+ "epoch": 10.94,
1698
+ "learning_rate": 4.4178082191780825e-06,
1699
+ "loss": 0.5567,
1700
+ "step": 1335
1701
+ },
1702
+ {
1703
+ "epoch": 10.98,
1704
+ "learning_rate": 4.246575342465754e-06,
1705
+ "loss": 0.6398,
1706
+ "step": 1340
1707
+ },
1708
+ {
1709
+ "epoch": 11.0,
1710
+ "eval_accuracy": 0.816032887975334,
1711
+ "eval_loss": 0.56792151927948,
1712
+ "eval_runtime": 5.5954,
1713
+ "eval_samples_per_second": 173.893,
1714
+ "eval_steps_per_second": 10.902,
1715
+ "step": 1342
1716
+ },
1717
+ {
1718
+ "epoch": 11.02,
1719
+ "learning_rate": 4.075342465753426e-06,
1720
+ "loss": 0.6378,
1721
+ "step": 1345
1722
+ },
1723
+ {
1724
+ "epoch": 11.07,
1725
+ "learning_rate": 3.904109589041096e-06,
1726
+ "loss": 0.5403,
1727
+ "step": 1350
1728
+ },
1729
+ {
1730
+ "epoch": 11.11,
1731
+ "learning_rate": 3.7328767123287675e-06,
1732
+ "loss": 0.5622,
1733
+ "step": 1355
1734
+ },
1735
+ {
1736
+ "epoch": 11.15,
1737
+ "learning_rate": 3.5616438356164386e-06,
1738
+ "loss": 0.599,
1739
+ "step": 1360
1740
+ },
1741
+ {
1742
+ "epoch": 11.19,
1743
+ "learning_rate": 3.39041095890411e-06,
1744
+ "loss": 0.5112,
1745
+ "step": 1365
1746
+ },
1747
+ {
1748
+ "epoch": 11.23,
1749
+ "learning_rate": 3.2191780821917813e-06,
1750
+ "loss": 0.6468,
1751
+ "step": 1370
1752
+ },
1753
+ {
1754
+ "epoch": 11.27,
1755
+ "learning_rate": 3.0479452054794525e-06,
1756
+ "loss": 0.5667,
1757
+ "step": 1375
1758
+ },
1759
+ {
1760
+ "epoch": 11.31,
1761
+ "learning_rate": 2.876712328767123e-06,
1762
+ "loss": 0.5676,
1763
+ "step": 1380
1764
+ },
1765
+ {
1766
+ "epoch": 11.35,
1767
+ "learning_rate": 2.705479452054795e-06,
1768
+ "loss": 0.5675,
1769
+ "step": 1385
1770
+ },
1771
+ {
1772
+ "epoch": 11.39,
1773
+ "learning_rate": 2.534246575342466e-06,
1774
+ "loss": 0.6044,
1775
+ "step": 1390
1776
+ },
1777
+ {
1778
+ "epoch": 11.43,
1779
+ "learning_rate": 2.363013698630137e-06,
1780
+ "loss": 0.5977,
1781
+ "step": 1395
1782
+ },
1783
+ {
1784
+ "epoch": 11.48,
1785
+ "learning_rate": 2.191780821917808e-06,
1786
+ "loss": 0.5705,
1787
+ "step": 1400
1788
+ },
1789
+ {
1790
+ "epoch": 11.52,
1791
+ "learning_rate": 2.0205479452054797e-06,
1792
+ "loss": 0.614,
1793
+ "step": 1405
1794
+ },
1795
+ {
1796
+ "epoch": 11.56,
1797
+ "learning_rate": 1.8493150684931507e-06,
1798
+ "loss": 0.5503,
1799
+ "step": 1410
1800
+ },
1801
+ {
1802
+ "epoch": 11.6,
1803
+ "learning_rate": 1.678082191780822e-06,
1804
+ "loss": 0.6357,
1805
+ "step": 1415
1806
+ },
1807
+ {
1808
+ "epoch": 11.64,
1809
+ "learning_rate": 1.5068493150684932e-06,
1810
+ "loss": 0.6212,
1811
+ "step": 1420
1812
+ },
1813
+ {
1814
+ "epoch": 11.68,
1815
+ "learning_rate": 1.3356164383561645e-06,
1816
+ "loss": 0.4834,
1817
+ "step": 1425
1818
+ },
1819
+ {
1820
+ "epoch": 11.72,
1821
+ "learning_rate": 1.1643835616438357e-06,
1822
+ "loss": 0.5066,
1823
+ "step": 1430
1824
+ },
1825
+ {
1826
+ "epoch": 11.76,
1827
+ "learning_rate": 9.931506849315068e-07,
1828
+ "loss": 0.5996,
1829
+ "step": 1435
1830
+ },
1831
+ {
1832
+ "epoch": 11.8,
1833
+ "learning_rate": 8.219178082191781e-07,
1834
+ "loss": 0.5948,
1835
+ "step": 1440
1836
+ },
1837
+ {
1838
+ "epoch": 11.84,
1839
+ "learning_rate": 6.506849315068493e-07,
1840
+ "loss": 0.4941,
1841
+ "step": 1445
1842
+ },
1843
+ {
1844
+ "epoch": 11.89,
1845
+ "learning_rate": 4.794520547945206e-07,
1846
+ "loss": 0.6554,
1847
+ "step": 1450
1848
+ },
1849
+ {
1850
+ "epoch": 11.93,
1851
+ "learning_rate": 3.082191780821918e-07,
1852
+ "loss": 0.4939,
1853
+ "step": 1455
1854
+ },
1855
+ {
1856
+ "epoch": 11.97,
1857
+ "learning_rate": 1.36986301369863e-07,
1858
+ "loss": 0.6243,
1859
+ "step": 1460
1860
+ },
1861
+ {
1862
+ "epoch": 12.0,
1863
+ "eval_accuracy": 0.8273381294964028,
1864
+ "eval_loss": 0.5332313776016235,
1865
+ "eval_runtime": 5.5171,
1866
+ "eval_samples_per_second": 176.361,
1867
+ "eval_steps_per_second": 11.057,
1868
+ "step": 1464
1869
+ },
1870
+ {
1871
+ "epoch": 12.0,
1872
+ "step": 1464,
1873
+ "total_flos": 1.175377212318081e+18,
1874
+ "train_loss": 1.2422215939382386,
1875
+ "train_runtime": 2576.2267,
1876
+ "train_samples_per_second": 18.124,
1877
+ "train_steps_per_second": 0.568
1878
+ }
1879
+ ],
1880
+ "max_steps": 1464,
1881
+ "num_train_epochs": 12,
1882
+ "total_flos": 1.175377212318081e+18,
1883
+ "trial_name": null,
1884
+ "trial_params": null
1885
+ }