crncskn commited on
Commit
38b5f3d
1 Parent(s): 8e40efb

End of training

Browse files
README.md CHANGED
@@ -1,5 +1,6 @@
1
  ---
2
  tags:
 
3
  - generated_from_trainer
4
  datasets:
5
  - imagefolder
@@ -13,7 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # prtrnlng2
15
 
16
- This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder dataset.
 
 
17
 
18
  ## Model description
19
 
 
1
  ---
2
  tags:
3
+ - masked-auto-encoding
4
  - generated_from_trainer
5
  datasets:
6
  - imagefolder
 
14
 
15
  # prtrnlng2
16
 
17
+ This model is a fine-tuned version of [](https://huggingface.co/) on the /home/lung/LungAll dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.5091
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 50.0,
3
+ "eval_loss": 0.5090942978858948,
4
+ "eval_runtime": 27.4368,
5
+ "eval_samples_per_second": 110.946,
6
+ "eval_steps_per_second": 13.886,
7
+ "train_loss": 0.5550972292020724,
8
+ "train_runtime": 13976.6946,
9
+ "train_samples_per_second": 61.703,
10
+ "train_steps_per_second": 7.713
11
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 50.0,
3
+ "eval_loss": 0.5090942978858948,
4
+ "eval_runtime": 27.4368,
5
+ "eval_samples_per_second": 110.946,
6
+ "eval_steps_per_second": 13.886
7
+ }
runs/Mar20_21-36-58_c29773f36be4/events.out.tfevents.1710984671.c29773f36be4.4971.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf68289397e098b18e7b7a669891504a518ba06583c4a1cea5e7c1b70d220cce
3
+ size 364
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 50.0,
3
+ "train_loss": 0.5550972292020724,
4
+ "train_runtime": 13976.6946,
5
+ "train_samples_per_second": 61.703,
6
+ "train_steps_per_second": 7.713
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1535 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 50.0,
5
+ "eval_steps": 500,
6
+ "global_step": 107800,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.23,
13
+ "grad_norm": 0.16410106420516968,
14
+ "learning_rate": 3.110505565862709e-05,
15
+ "loss": 0.8386,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.46,
20
+ "grad_norm": 0.42184513807296753,
21
+ "learning_rate": 3.0960111317254176e-05,
22
+ "loss": 0.8027,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.7,
27
+ "grad_norm": 0.24314333498477936,
28
+ "learning_rate": 3.0815166975881264e-05,
29
+ "loss": 0.782,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.93,
34
+ "grad_norm": 0.6049493551254272,
35
+ "learning_rate": 3.067022263450835e-05,
36
+ "loss": 0.7584,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 1.16,
41
+ "grad_norm": 0.6963891386985779,
42
+ "learning_rate": 3.0525278293135433e-05,
43
+ "loss": 0.7384,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 1.39,
48
+ "grad_norm": 0.4310186803340912,
49
+ "learning_rate": 3.038033395176252e-05,
50
+ "loss": 0.7254,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 1.62,
55
+ "grad_norm": 0.713209331035614,
56
+ "learning_rate": 3.0235389610389613e-05,
57
+ "loss": 0.7181,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 1.86,
62
+ "grad_norm": 0.6885315775871277,
63
+ "learning_rate": 3.0090445269016697e-05,
64
+ "loss": 0.703,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 2.09,
69
+ "grad_norm": 0.48805415630340576,
70
+ "learning_rate": 2.9945500927643785e-05,
71
+ "loss": 0.6923,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 2.32,
76
+ "grad_norm": 0.40450435876846313,
77
+ "learning_rate": 2.9800556586270873e-05,
78
+ "loss": 0.691,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 2.55,
83
+ "grad_norm": 0.5716784596443176,
84
+ "learning_rate": 2.965561224489796e-05,
85
+ "loss": 0.6831,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 2.78,
90
+ "grad_norm": 0.512924075126648,
91
+ "learning_rate": 2.951066790352505e-05,
92
+ "loss": 0.6783,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 3.01,
97
+ "grad_norm": 0.5809201598167419,
98
+ "learning_rate": 2.9365723562152134e-05,
99
+ "loss": 0.6682,
100
+ "step": 6500
101
+ },
102
+ {
103
+ "epoch": 3.25,
104
+ "grad_norm": 1.9776902198791504,
105
+ "learning_rate": 2.922077922077922e-05,
106
+ "loss": 0.6654,
107
+ "step": 7000
108
+ },
109
+ {
110
+ "epoch": 3.48,
111
+ "grad_norm": 0.5193782448768616,
112
+ "learning_rate": 2.9075834879406306e-05,
113
+ "loss": 0.6649,
114
+ "step": 7500
115
+ },
116
+ {
117
+ "epoch": 3.71,
118
+ "grad_norm": 0.5309423804283142,
119
+ "learning_rate": 2.8930890538033397e-05,
120
+ "loss": 0.6616,
121
+ "step": 8000
122
+ },
123
+ {
124
+ "epoch": 3.94,
125
+ "grad_norm": 0.5730230212211609,
126
+ "learning_rate": 2.8785946196660482e-05,
127
+ "loss": 0.6559,
128
+ "step": 8500
129
+ },
130
+ {
131
+ "epoch": 4.17,
132
+ "grad_norm": 2.4345550537109375,
133
+ "learning_rate": 2.864100185528757e-05,
134
+ "loss": 0.6535,
135
+ "step": 9000
136
+ },
137
+ {
138
+ "epoch": 4.41,
139
+ "grad_norm": 0.6113856434822083,
140
+ "learning_rate": 2.8496057513914658e-05,
141
+ "loss": 0.6479,
142
+ "step": 9500
143
+ },
144
+ {
145
+ "epoch": 4.64,
146
+ "grad_norm": 0.5557487607002258,
147
+ "learning_rate": 2.8351113172541746e-05,
148
+ "loss": 0.6416,
149
+ "step": 10000
150
+ },
151
+ {
152
+ "epoch": 4.87,
153
+ "grad_norm": 0.5874636173248291,
154
+ "learning_rate": 2.8206168831168834e-05,
155
+ "loss": 0.6399,
156
+ "step": 10500
157
+ },
158
+ {
159
+ "epoch": 5.1,
160
+ "grad_norm": 0.4734204411506653,
161
+ "learning_rate": 2.8061224489795918e-05,
162
+ "loss": 0.6375,
163
+ "step": 11000
164
+ },
165
+ {
166
+ "epoch": 5.33,
167
+ "grad_norm": 0.5736048221588135,
168
+ "learning_rate": 2.7916280148423006e-05,
169
+ "loss": 0.6336,
170
+ "step": 11500
171
+ },
172
+ {
173
+ "epoch": 5.57,
174
+ "grad_norm": 0.5358075499534607,
175
+ "learning_rate": 2.777133580705009e-05,
176
+ "loss": 0.6255,
177
+ "step": 12000
178
+ },
179
+ {
180
+ "epoch": 5.8,
181
+ "grad_norm": 0.39945241808891296,
182
+ "learning_rate": 2.7626391465677182e-05,
183
+ "loss": 0.6245,
184
+ "step": 12500
185
+ },
186
+ {
187
+ "epoch": 6.03,
188
+ "grad_norm": 0.6585483551025391,
189
+ "learning_rate": 2.7481447124304266e-05,
190
+ "loss": 0.619,
191
+ "step": 13000
192
+ },
193
+ {
194
+ "epoch": 6.26,
195
+ "grad_norm": 0.5212920308113098,
196
+ "learning_rate": 2.7336502782931354e-05,
197
+ "loss": 0.6195,
198
+ "step": 13500
199
+ },
200
+ {
201
+ "epoch": 6.49,
202
+ "grad_norm": 0.6320118308067322,
203
+ "learning_rate": 2.7191558441558442e-05,
204
+ "loss": 0.6114,
205
+ "step": 14000
206
+ },
207
+ {
208
+ "epoch": 6.73,
209
+ "grad_norm": 0.7715293169021606,
210
+ "learning_rate": 2.704661410018553e-05,
211
+ "loss": 0.6088,
212
+ "step": 14500
213
+ },
214
+ {
215
+ "epoch": 6.96,
216
+ "grad_norm": 0.571773111820221,
217
+ "learning_rate": 2.6901669758812618e-05,
218
+ "loss": 0.6103,
219
+ "step": 15000
220
+ },
221
+ {
222
+ "epoch": 7.19,
223
+ "grad_norm": 0.6421319246292114,
224
+ "learning_rate": 2.6756725417439703e-05,
225
+ "loss": 0.6025,
226
+ "step": 15500
227
+ },
228
+ {
229
+ "epoch": 7.42,
230
+ "grad_norm": 0.5680719017982483,
231
+ "learning_rate": 2.661178107606679e-05,
232
+ "loss": 0.5998,
233
+ "step": 16000
234
+ },
235
+ {
236
+ "epoch": 7.65,
237
+ "grad_norm": 0.5537917613983154,
238
+ "learning_rate": 2.646683673469388e-05,
239
+ "loss": 0.5981,
240
+ "step": 16500
241
+ },
242
+ {
243
+ "epoch": 7.88,
244
+ "grad_norm": 0.4245034158229828,
245
+ "learning_rate": 2.6321892393320966e-05,
246
+ "loss": 0.5959,
247
+ "step": 17000
248
+ },
249
+ {
250
+ "epoch": 8.12,
251
+ "grad_norm": 0.48047196865081787,
252
+ "learning_rate": 2.617694805194805e-05,
253
+ "loss": 0.5952,
254
+ "step": 17500
255
+ },
256
+ {
257
+ "epoch": 8.35,
258
+ "grad_norm": 0.4809471368789673,
259
+ "learning_rate": 2.603200371057514e-05,
260
+ "loss": 0.5923,
261
+ "step": 18000
262
+ },
263
+ {
264
+ "epoch": 8.58,
265
+ "grad_norm": 0.4537654519081116,
266
+ "learning_rate": 2.5887059369202227e-05,
267
+ "loss": 0.5878,
268
+ "step": 18500
269
+ },
270
+ {
271
+ "epoch": 8.81,
272
+ "grad_norm": 0.5159969329833984,
273
+ "learning_rate": 2.5742115027829315e-05,
274
+ "loss": 0.5933,
275
+ "step": 19000
276
+ },
277
+ {
278
+ "epoch": 9.04,
279
+ "grad_norm": 0.9971024990081787,
280
+ "learning_rate": 2.5597170686456403e-05,
281
+ "loss": 0.588,
282
+ "step": 19500
283
+ },
284
+ {
285
+ "epoch": 9.28,
286
+ "grad_norm": 0.4496227204799652,
287
+ "learning_rate": 2.5452226345083487e-05,
288
+ "loss": 0.5877,
289
+ "step": 20000
290
+ },
291
+ {
292
+ "epoch": 9.51,
293
+ "grad_norm": 0.5145105719566345,
294
+ "learning_rate": 2.5307282003710575e-05,
295
+ "loss": 0.5821,
296
+ "step": 20500
297
+ },
298
+ {
299
+ "epoch": 9.74,
300
+ "grad_norm": 0.5195399522781372,
301
+ "learning_rate": 2.5162337662337663e-05,
302
+ "loss": 0.5827,
303
+ "step": 21000
304
+ },
305
+ {
306
+ "epoch": 9.97,
307
+ "grad_norm": 0.5431232452392578,
308
+ "learning_rate": 2.501739332096475e-05,
309
+ "loss": 0.5845,
310
+ "step": 21500
311
+ },
312
+ {
313
+ "epoch": 10.2,
314
+ "grad_norm": 0.4878028333187103,
315
+ "learning_rate": 2.4872448979591835e-05,
316
+ "loss": 0.5828,
317
+ "step": 22000
318
+ },
319
+ {
320
+ "epoch": 10.44,
321
+ "grad_norm": 0.591066837310791,
322
+ "learning_rate": 2.4727504638218923e-05,
323
+ "loss": 0.5819,
324
+ "step": 22500
325
+ },
326
+ {
327
+ "epoch": 10.67,
328
+ "grad_norm": 16.133996963500977,
329
+ "learning_rate": 2.458256029684601e-05,
330
+ "loss": 0.5765,
331
+ "step": 23000
332
+ },
333
+ {
334
+ "epoch": 10.9,
335
+ "grad_norm": 0.5531517863273621,
336
+ "learning_rate": 2.44376159554731e-05,
337
+ "loss": 0.5781,
338
+ "step": 23500
339
+ },
340
+ {
341
+ "epoch": 11.13,
342
+ "grad_norm": 0.4941064417362213,
343
+ "learning_rate": 2.4292671614100187e-05,
344
+ "loss": 0.5774,
345
+ "step": 24000
346
+ },
347
+ {
348
+ "epoch": 11.36,
349
+ "grad_norm": 0.5101198554039001,
350
+ "learning_rate": 2.414772727272727e-05,
351
+ "loss": 0.5717,
352
+ "step": 24500
353
+ },
354
+ {
355
+ "epoch": 11.6,
356
+ "grad_norm": 0.40433865785598755,
357
+ "learning_rate": 2.400278293135436e-05,
358
+ "loss": 0.5729,
359
+ "step": 25000
360
+ },
361
+ {
362
+ "epoch": 11.83,
363
+ "grad_norm": 0.5296735763549805,
364
+ "learning_rate": 2.3857838589981448e-05,
365
+ "loss": 0.5766,
366
+ "step": 25500
367
+ },
368
+ {
369
+ "epoch": 12.06,
370
+ "grad_norm": 0.40421661734580994,
371
+ "learning_rate": 2.3712894248608535e-05,
372
+ "loss": 0.5674,
373
+ "step": 26000
374
+ },
375
+ {
376
+ "epoch": 12.29,
377
+ "grad_norm": 0.48923459649086,
378
+ "learning_rate": 2.356794990723562e-05,
379
+ "loss": 0.5673,
380
+ "step": 26500
381
+ },
382
+ {
383
+ "epoch": 12.52,
384
+ "grad_norm": 0.4543541371822357,
385
+ "learning_rate": 2.3423005565862708e-05,
386
+ "loss": 0.5682,
387
+ "step": 27000
388
+ },
389
+ {
390
+ "epoch": 12.76,
391
+ "grad_norm": 0.405658096075058,
392
+ "learning_rate": 2.32780612244898e-05,
393
+ "loss": 0.5654,
394
+ "step": 27500
395
+ },
396
+ {
397
+ "epoch": 12.99,
398
+ "grad_norm": 0.4983844459056854,
399
+ "learning_rate": 2.3133116883116884e-05,
400
+ "loss": 0.5657,
401
+ "step": 28000
402
+ },
403
+ {
404
+ "epoch": 13.22,
405
+ "grad_norm": 1.2178577184677124,
406
+ "learning_rate": 2.2988172541743972e-05,
407
+ "loss": 0.5638,
408
+ "step": 28500
409
+ },
410
+ {
411
+ "epoch": 13.45,
412
+ "grad_norm": 0.4428790509700775,
413
+ "learning_rate": 2.2843228200371056e-05,
414
+ "loss": 0.5658,
415
+ "step": 29000
416
+ },
417
+ {
418
+ "epoch": 13.68,
419
+ "grad_norm": 0.5377063155174255,
420
+ "learning_rate": 2.2698283858998144e-05,
421
+ "loss": 0.5609,
422
+ "step": 29500
423
+ },
424
+ {
425
+ "epoch": 13.91,
426
+ "grad_norm": 0.4518877863883972,
427
+ "learning_rate": 2.2553339517625232e-05,
428
+ "loss": 0.5629,
429
+ "step": 30000
430
+ },
431
+ {
432
+ "epoch": 14.15,
433
+ "grad_norm": 0.5720136761665344,
434
+ "learning_rate": 2.240839517625232e-05,
435
+ "loss": 0.5639,
436
+ "step": 30500
437
+ },
438
+ {
439
+ "epoch": 14.38,
440
+ "grad_norm": 0.6480860114097595,
441
+ "learning_rate": 2.2263450834879408e-05,
442
+ "loss": 0.5622,
443
+ "step": 31000
444
+ },
445
+ {
446
+ "epoch": 14.61,
447
+ "grad_norm": 0.40764591097831726,
448
+ "learning_rate": 2.2118506493506492e-05,
449
+ "loss": 0.5615,
450
+ "step": 31500
451
+ },
452
+ {
453
+ "epoch": 14.84,
454
+ "grad_norm": 0.60052889585495,
455
+ "learning_rate": 2.1973562152133584e-05,
456
+ "loss": 0.5542,
457
+ "step": 32000
458
+ },
459
+ {
460
+ "epoch": 15.07,
461
+ "grad_norm": 0.5227585434913635,
462
+ "learning_rate": 2.182861781076067e-05,
463
+ "loss": 0.5556,
464
+ "step": 32500
465
+ },
466
+ {
467
+ "epoch": 15.31,
468
+ "grad_norm": 0.5119400024414062,
469
+ "learning_rate": 2.1683673469387756e-05,
470
+ "loss": 0.556,
471
+ "step": 33000
472
+ },
473
+ {
474
+ "epoch": 15.54,
475
+ "grad_norm": 0.4895058870315552,
476
+ "learning_rate": 2.153872912801484e-05,
477
+ "loss": 0.5569,
478
+ "step": 33500
479
+ },
480
+ {
481
+ "epoch": 15.77,
482
+ "grad_norm": 0.5205515623092651,
483
+ "learning_rate": 2.1393784786641932e-05,
484
+ "loss": 0.555,
485
+ "step": 34000
486
+ },
487
+ {
488
+ "epoch": 16.0,
489
+ "grad_norm": 0.4375595152378082,
490
+ "learning_rate": 2.1248840445269017e-05,
491
+ "loss": 0.5544,
492
+ "step": 34500
493
+ },
494
+ {
495
+ "epoch": 16.23,
496
+ "grad_norm": 0.4849925637245178,
497
+ "learning_rate": 2.1103896103896105e-05,
498
+ "loss": 0.5536,
499
+ "step": 35000
500
+ },
501
+ {
502
+ "epoch": 16.47,
503
+ "grad_norm": 0.5083441734313965,
504
+ "learning_rate": 2.0958951762523192e-05,
505
+ "loss": 0.5522,
506
+ "step": 35500
507
+ },
508
+ {
509
+ "epoch": 16.7,
510
+ "grad_norm": 0.561335027217865,
511
+ "learning_rate": 2.0814007421150277e-05,
512
+ "loss": 0.5523,
513
+ "step": 36000
514
+ },
515
+ {
516
+ "epoch": 16.93,
517
+ "grad_norm": 0.463858962059021,
518
+ "learning_rate": 2.066906307977737e-05,
519
+ "loss": 0.5506,
520
+ "step": 36500
521
+ },
522
+ {
523
+ "epoch": 17.16,
524
+ "grad_norm": 0.5114089250564575,
525
+ "learning_rate": 2.0524118738404453e-05,
526
+ "loss": 0.5512,
527
+ "step": 37000
528
+ },
529
+ {
530
+ "epoch": 17.39,
531
+ "grad_norm": 0.9562047123908997,
532
+ "learning_rate": 2.037917439703154e-05,
533
+ "loss": 0.5506,
534
+ "step": 37500
535
+ },
536
+ {
537
+ "epoch": 17.63,
538
+ "grad_norm": 0.755348265171051,
539
+ "learning_rate": 2.0234230055658625e-05,
540
+ "loss": 0.5473,
541
+ "step": 38000
542
+ },
543
+ {
544
+ "epoch": 17.86,
545
+ "grad_norm": 0.5000788569450378,
546
+ "learning_rate": 2.0089285714285717e-05,
547
+ "loss": 0.5443,
548
+ "step": 38500
549
+ },
550
+ {
551
+ "epoch": 18.09,
552
+ "grad_norm": 0.5531164407730103,
553
+ "learning_rate": 1.99443413729128e-05,
554
+ "loss": 0.548,
555
+ "step": 39000
556
+ },
557
+ {
558
+ "epoch": 18.32,
559
+ "grad_norm": 0.49754297733306885,
560
+ "learning_rate": 1.979939703153989e-05,
561
+ "loss": 0.5475,
562
+ "step": 39500
563
+ },
564
+ {
565
+ "epoch": 18.55,
566
+ "grad_norm": 0.462971955537796,
567
+ "learning_rate": 1.9654452690166977e-05,
568
+ "loss": 0.5459,
569
+ "step": 40000
570
+ },
571
+ {
572
+ "epoch": 18.78,
573
+ "grad_norm": 0.9089665412902832,
574
+ "learning_rate": 1.950950834879406e-05,
575
+ "loss": 0.5491,
576
+ "step": 40500
577
+ },
578
+ {
579
+ "epoch": 19.02,
580
+ "grad_norm": 0.47444915771484375,
581
+ "learning_rate": 1.9364564007421153e-05,
582
+ "loss": 0.5433,
583
+ "step": 41000
584
+ },
585
+ {
586
+ "epoch": 19.25,
587
+ "grad_norm": 0.45020779967308044,
588
+ "learning_rate": 1.9219619666048237e-05,
589
+ "loss": 0.5423,
590
+ "step": 41500
591
+ },
592
+ {
593
+ "epoch": 19.48,
594
+ "grad_norm": 0.6115174293518066,
595
+ "learning_rate": 1.9074675324675325e-05,
596
+ "loss": 0.5455,
597
+ "step": 42000
598
+ },
599
+ {
600
+ "epoch": 19.71,
601
+ "grad_norm": 2.4381721019744873,
602
+ "learning_rate": 1.892973098330241e-05,
603
+ "loss": 0.5433,
604
+ "step": 42500
605
+ },
606
+ {
607
+ "epoch": 19.94,
608
+ "grad_norm": 0.5207477807998657,
609
+ "learning_rate": 1.87847866419295e-05,
610
+ "loss": 0.5414,
611
+ "step": 43000
612
+ },
613
+ {
614
+ "epoch": 20.18,
615
+ "grad_norm": 0.4906873106956482,
616
+ "learning_rate": 1.8639842300556586e-05,
617
+ "loss": 0.5428,
618
+ "step": 43500
619
+ },
620
+ {
621
+ "epoch": 20.41,
622
+ "grad_norm": 0.4558812081813812,
623
+ "learning_rate": 1.8494897959183674e-05,
624
+ "loss": 0.5464,
625
+ "step": 44000
626
+ },
627
+ {
628
+ "epoch": 20.64,
629
+ "grad_norm": 0.5274574756622314,
630
+ "learning_rate": 1.834995361781076e-05,
631
+ "loss": 0.5387,
632
+ "step": 44500
633
+ },
634
+ {
635
+ "epoch": 20.87,
636
+ "grad_norm": 0.46367010474205017,
637
+ "learning_rate": 1.820500927643785e-05,
638
+ "loss": 0.5407,
639
+ "step": 45000
640
+ },
641
+ {
642
+ "epoch": 21.1,
643
+ "grad_norm": 0.45425930619239807,
644
+ "learning_rate": 1.8060064935064937e-05,
645
+ "loss": 0.5444,
646
+ "step": 45500
647
+ },
648
+ {
649
+ "epoch": 21.34,
650
+ "grad_norm": 0.4426890015602112,
651
+ "learning_rate": 1.7915120593692022e-05,
652
+ "loss": 0.5409,
653
+ "step": 46000
654
+ },
655
+ {
656
+ "epoch": 21.57,
657
+ "grad_norm": 0.4001689851284027,
658
+ "learning_rate": 1.777017625231911e-05,
659
+ "loss": 0.5375,
660
+ "step": 46500
661
+ },
662
+ {
663
+ "epoch": 21.8,
664
+ "grad_norm": 0.45908644795417786,
665
+ "learning_rate": 1.7625231910946194e-05,
666
+ "loss": 0.5375,
667
+ "step": 47000
668
+ },
669
+ {
670
+ "epoch": 22.03,
671
+ "grad_norm": 0.41069209575653076,
672
+ "learning_rate": 1.7480287569573286e-05,
673
+ "loss": 0.5364,
674
+ "step": 47500
675
+ },
676
+ {
677
+ "epoch": 22.26,
678
+ "grad_norm": 0.5071306824684143,
679
+ "learning_rate": 1.733534322820037e-05,
680
+ "loss": 0.5392,
681
+ "step": 48000
682
+ },
683
+ {
684
+ "epoch": 22.5,
685
+ "grad_norm": 0.5278964638710022,
686
+ "learning_rate": 1.7190398886827458e-05,
687
+ "loss": 0.5351,
688
+ "step": 48500
689
+ },
690
+ {
691
+ "epoch": 22.73,
692
+ "grad_norm": 0.5334340929985046,
693
+ "learning_rate": 1.7045454545454546e-05,
694
+ "loss": 0.5347,
695
+ "step": 49000
696
+ },
697
+ {
698
+ "epoch": 22.96,
699
+ "grad_norm": 0.47415098547935486,
700
+ "learning_rate": 1.6900510204081634e-05,
701
+ "loss": 0.5378,
702
+ "step": 49500
703
+ },
704
+ {
705
+ "epoch": 23.19,
706
+ "grad_norm": 0.4583585858345032,
707
+ "learning_rate": 1.6755565862708722e-05,
708
+ "loss": 0.5396,
709
+ "step": 50000
710
+ },
711
+ {
712
+ "epoch": 23.42,
713
+ "grad_norm": 0.42494043707847595,
714
+ "learning_rate": 1.6610621521335807e-05,
715
+ "loss": 0.5354,
716
+ "step": 50500
717
+ },
718
+ {
719
+ "epoch": 23.65,
720
+ "grad_norm": 0.46691572666168213,
721
+ "learning_rate": 1.6465677179962894e-05,
722
+ "loss": 0.5383,
723
+ "step": 51000
724
+ },
725
+ {
726
+ "epoch": 23.89,
727
+ "grad_norm": 0.5475151538848877,
728
+ "learning_rate": 1.6320732838589982e-05,
729
+ "loss": 0.5351,
730
+ "step": 51500
731
+ },
732
+ {
733
+ "epoch": 24.12,
734
+ "grad_norm": 0.4535447061061859,
735
+ "learning_rate": 1.617578849721707e-05,
736
+ "loss": 0.5346,
737
+ "step": 52000
738
+ },
739
+ {
740
+ "epoch": 24.35,
741
+ "grad_norm": 0.5584075450897217,
742
+ "learning_rate": 1.6030844155844155e-05,
743
+ "loss": 0.5345,
744
+ "step": 52500
745
+ },
746
+ {
747
+ "epoch": 24.58,
748
+ "grad_norm": 0.7527787685394287,
749
+ "learning_rate": 1.5885899814471243e-05,
750
+ "loss": 0.5273,
751
+ "step": 53000
752
+ },
753
+ {
754
+ "epoch": 24.81,
755
+ "grad_norm": 0.39385178685188293,
756
+ "learning_rate": 1.574095547309833e-05,
757
+ "loss": 0.5365,
758
+ "step": 53500
759
+ },
760
+ {
761
+ "epoch": 25.05,
762
+ "grad_norm": 0.5498375296592712,
763
+ "learning_rate": 1.559601113172542e-05,
764
+ "loss": 0.5375,
765
+ "step": 54000
766
+ },
767
+ {
768
+ "epoch": 25.28,
769
+ "grad_norm": 0.41572290658950806,
770
+ "learning_rate": 1.5451066790352507e-05,
771
+ "loss": 0.5335,
772
+ "step": 54500
773
+ },
774
+ {
775
+ "epoch": 25.51,
776
+ "grad_norm": 0.4475056827068329,
777
+ "learning_rate": 1.530612244897959e-05,
778
+ "loss": 0.5335,
779
+ "step": 55000
780
+ },
781
+ {
782
+ "epoch": 25.74,
783
+ "grad_norm": 0.48311153054237366,
784
+ "learning_rate": 1.516117810760668e-05,
785
+ "loss": 0.5329,
786
+ "step": 55500
787
+ },
788
+ {
789
+ "epoch": 25.97,
790
+ "grad_norm": 0.48509538173675537,
791
+ "learning_rate": 1.5016233766233767e-05,
792
+ "loss": 0.5307,
793
+ "step": 56000
794
+ },
795
+ {
796
+ "epoch": 26.21,
797
+ "grad_norm": 0.5727821588516235,
798
+ "learning_rate": 1.4871289424860855e-05,
799
+ "loss": 0.5316,
800
+ "step": 56500
801
+ },
802
+ {
803
+ "epoch": 26.44,
804
+ "grad_norm": 0.46595117449760437,
805
+ "learning_rate": 1.4726345083487941e-05,
806
+ "loss": 0.5309,
807
+ "step": 57000
808
+ },
809
+ {
810
+ "epoch": 26.67,
811
+ "grad_norm": 0.5022342801094055,
812
+ "learning_rate": 1.4581400742115027e-05,
813
+ "loss": 0.5354,
814
+ "step": 57500
815
+ },
816
+ {
817
+ "epoch": 26.9,
818
+ "grad_norm": 0.5400568842887878,
819
+ "learning_rate": 1.4436456400742115e-05,
820
+ "loss": 0.5268,
821
+ "step": 58000
822
+ },
823
+ {
824
+ "epoch": 27.13,
825
+ "grad_norm": 0.49959874153137207,
826
+ "learning_rate": 1.4291512059369201e-05,
827
+ "loss": 0.5316,
828
+ "step": 58500
829
+ },
830
+ {
831
+ "epoch": 27.37,
832
+ "grad_norm": 0.5435352921485901,
833
+ "learning_rate": 1.414656771799629e-05,
834
+ "loss": 0.53,
835
+ "step": 59000
836
+ },
837
+ {
838
+ "epoch": 27.6,
839
+ "grad_norm": 0.5168443918228149,
840
+ "learning_rate": 1.4001623376623376e-05,
841
+ "loss": 0.5272,
842
+ "step": 59500
843
+ },
844
+ {
845
+ "epoch": 27.83,
846
+ "grad_norm": 0.60955411195755,
847
+ "learning_rate": 1.3856679035250465e-05,
848
+ "loss": 0.5283,
849
+ "step": 60000
850
+ },
851
+ {
852
+ "epoch": 28.06,
853
+ "grad_norm": 0.5063374042510986,
854
+ "learning_rate": 1.3711734693877551e-05,
855
+ "loss": 0.5308,
856
+ "step": 60500
857
+ },
858
+ {
859
+ "epoch": 28.29,
860
+ "grad_norm": 0.46151864528656006,
861
+ "learning_rate": 1.356679035250464e-05,
862
+ "loss": 0.5282,
863
+ "step": 61000
864
+ },
865
+ {
866
+ "epoch": 28.53,
867
+ "grad_norm": 0.5224559903144836,
868
+ "learning_rate": 1.3421846011131726e-05,
869
+ "loss": 0.5261,
870
+ "step": 61500
871
+ },
872
+ {
873
+ "epoch": 28.76,
874
+ "grad_norm": 0.43721848726272583,
875
+ "learning_rate": 1.3276901669758814e-05,
876
+ "loss": 0.525,
877
+ "step": 62000
878
+ },
879
+ {
880
+ "epoch": 28.99,
881
+ "grad_norm": 0.5033512115478516,
882
+ "learning_rate": 1.31319573283859e-05,
883
+ "loss": 0.5304,
884
+ "step": 62500
885
+ },
886
+ {
887
+ "epoch": 29.22,
888
+ "grad_norm": 0.5284975171089172,
889
+ "learning_rate": 1.2987012987012988e-05,
890
+ "loss": 0.5291,
891
+ "step": 63000
892
+ },
893
+ {
894
+ "epoch": 29.45,
895
+ "grad_norm": 0.6417981386184692,
896
+ "learning_rate": 1.2842068645640074e-05,
897
+ "loss": 0.5267,
898
+ "step": 63500
899
+ },
900
+ {
901
+ "epoch": 29.68,
902
+ "grad_norm": 0.5176807045936584,
903
+ "learning_rate": 1.269712430426716e-05,
904
+ "loss": 0.5246,
905
+ "step": 64000
906
+ },
907
+ {
908
+ "epoch": 29.92,
909
+ "grad_norm": 0.46041619777679443,
910
+ "learning_rate": 1.255217996289425e-05,
911
+ "loss": 0.527,
912
+ "step": 64500
913
+ },
914
+ {
915
+ "epoch": 30.15,
916
+ "grad_norm": 0.5162688493728638,
917
+ "learning_rate": 1.2407235621521336e-05,
918
+ "loss": 0.5242,
919
+ "step": 65000
920
+ },
921
+ {
922
+ "epoch": 30.38,
923
+ "grad_norm": 0.46508926153182983,
924
+ "learning_rate": 1.2262291280148424e-05,
925
+ "loss": 0.5234,
926
+ "step": 65500
927
+ },
928
+ {
929
+ "epoch": 30.61,
930
+ "grad_norm": 0.4786316156387329,
931
+ "learning_rate": 1.211734693877551e-05,
932
+ "loss": 0.5287,
933
+ "step": 66000
934
+ },
935
+ {
936
+ "epoch": 30.84,
937
+ "grad_norm": 0.5851900577545166,
938
+ "learning_rate": 1.1972402597402598e-05,
939
+ "loss": 0.5252,
940
+ "step": 66500
941
+ },
942
+ {
943
+ "epoch": 31.08,
944
+ "grad_norm": 0.5234825611114502,
945
+ "learning_rate": 1.1827458256029684e-05,
946
+ "loss": 0.5238,
947
+ "step": 67000
948
+ },
949
+ {
950
+ "epoch": 31.31,
951
+ "grad_norm": 0.4396039843559265,
952
+ "learning_rate": 1.1682513914656772e-05,
953
+ "loss": 0.523,
954
+ "step": 67500
955
+ },
956
+ {
957
+ "epoch": 31.54,
958
+ "grad_norm": 0.4660816788673401,
959
+ "learning_rate": 1.1537569573283858e-05,
960
+ "loss": 0.5254,
961
+ "step": 68000
962
+ },
963
+ {
964
+ "epoch": 31.77,
965
+ "grad_norm": 0.4561219811439514,
966
+ "learning_rate": 1.1392625231910948e-05,
967
+ "loss": 0.5202,
968
+ "step": 68500
969
+ },
970
+ {
971
+ "epoch": 32.0,
972
+ "grad_norm": 0.4771936535835266,
973
+ "learning_rate": 1.1247680890538034e-05,
974
+ "loss": 0.526,
975
+ "step": 69000
976
+ },
977
+ {
978
+ "epoch": 32.24,
979
+ "grad_norm": 0.5595078468322754,
980
+ "learning_rate": 1.110273654916512e-05,
981
+ "loss": 0.5233,
982
+ "step": 69500
983
+ },
984
+ {
985
+ "epoch": 32.47,
986
+ "grad_norm": 0.5574076175689697,
987
+ "learning_rate": 1.0957792207792208e-05,
988
+ "loss": 0.5242,
989
+ "step": 70000
990
+ },
991
+ {
992
+ "epoch": 32.7,
993
+ "grad_norm": 0.5540217161178589,
994
+ "learning_rate": 1.0812847866419295e-05,
995
+ "loss": 0.5207,
996
+ "step": 70500
997
+ },
998
+ {
999
+ "epoch": 32.93,
1000
+ "grad_norm": 0.4957340359687805,
1001
+ "learning_rate": 1.0667903525046383e-05,
1002
+ "loss": 0.5234,
1003
+ "step": 71000
1004
+ },
1005
+ {
1006
+ "epoch": 33.16,
1007
+ "grad_norm": 0.5124360918998718,
1008
+ "learning_rate": 1.0522959183673469e-05,
1009
+ "loss": 0.5215,
1010
+ "step": 71500
1011
+ },
1012
+ {
1013
+ "epoch": 33.4,
1014
+ "grad_norm": 0.46945714950561523,
1015
+ "learning_rate": 1.0378014842300557e-05,
1016
+ "loss": 0.5253,
1017
+ "step": 72000
1018
+ },
1019
+ {
1020
+ "epoch": 33.63,
1021
+ "grad_norm": 0.379711389541626,
1022
+ "learning_rate": 1.0233070500927643e-05,
1023
+ "loss": 0.5217,
1024
+ "step": 72500
1025
+ },
1026
+ {
1027
+ "epoch": 33.86,
1028
+ "grad_norm": 0.6671276092529297,
1029
+ "learning_rate": 1.0088126159554733e-05,
1030
+ "loss": 0.5184,
1031
+ "step": 73000
1032
+ },
1033
+ {
1034
+ "epoch": 34.09,
1035
+ "grad_norm": 0.5381418466567993,
1036
+ "learning_rate": 9.943181818181819e-06,
1037
+ "loss": 0.5273,
1038
+ "step": 73500
1039
+ },
1040
+ {
1041
+ "epoch": 34.32,
1042
+ "grad_norm": 0.6995874643325806,
1043
+ "learning_rate": 9.798237476808907e-06,
1044
+ "loss": 0.5203,
1045
+ "step": 74000
1046
+ },
1047
+ {
1048
+ "epoch": 34.55,
1049
+ "grad_norm": 0.4824086129665375,
1050
+ "learning_rate": 9.653293135435993e-06,
1051
+ "loss": 0.5186,
1052
+ "step": 74500
1053
+ },
1054
+ {
1055
+ "epoch": 34.79,
1056
+ "grad_norm": 0.5302020311355591,
1057
+ "learning_rate": 9.50834879406308e-06,
1058
+ "loss": 0.5194,
1059
+ "step": 75000
1060
+ },
1061
+ {
1062
+ "epoch": 35.02,
1063
+ "grad_norm": 0.5452972054481506,
1064
+ "learning_rate": 9.363404452690167e-06,
1065
+ "loss": 0.5244,
1066
+ "step": 75500
1067
+ },
1068
+ {
1069
+ "epoch": 35.25,
1070
+ "grad_norm": 0.6910521984100342,
1071
+ "learning_rate": 9.218460111317253e-06,
1072
+ "loss": 0.5185,
1073
+ "step": 76000
1074
+ },
1075
+ {
1076
+ "epoch": 35.48,
1077
+ "grad_norm": 0.5710629224777222,
1078
+ "learning_rate": 9.073515769944341e-06,
1079
+ "loss": 0.519,
1080
+ "step": 76500
1081
+ },
1082
+ {
1083
+ "epoch": 35.71,
1084
+ "grad_norm": 0.4669000804424286,
1085
+ "learning_rate": 8.928571428571428e-06,
1086
+ "loss": 0.5171,
1087
+ "step": 77000
1088
+ },
1089
+ {
1090
+ "epoch": 35.95,
1091
+ "grad_norm": 0.508492112159729,
1092
+ "learning_rate": 8.783627087198517e-06,
1093
+ "loss": 0.5201,
1094
+ "step": 77500
1095
+ },
1096
+ {
1097
+ "epoch": 36.18,
1098
+ "grad_norm": 0.5005605816841125,
1099
+ "learning_rate": 8.638682745825603e-06,
1100
+ "loss": 0.5181,
1101
+ "step": 78000
1102
+ },
1103
+ {
1104
+ "epoch": 36.41,
1105
+ "grad_norm": 0.5115915536880493,
1106
+ "learning_rate": 8.493738404452691e-06,
1107
+ "loss": 0.517,
1108
+ "step": 78500
1109
+ },
1110
+ {
1111
+ "epoch": 36.64,
1112
+ "grad_norm": 0.5187366604804993,
1113
+ "learning_rate": 8.348794063079778e-06,
1114
+ "loss": 0.5197,
1115
+ "step": 79000
1116
+ },
1117
+ {
1118
+ "epoch": 36.87,
1119
+ "grad_norm": 0.5845080614089966,
1120
+ "learning_rate": 8.203849721706865e-06,
1121
+ "loss": 0.5209,
1122
+ "step": 79500
1123
+ },
1124
+ {
1125
+ "epoch": 37.11,
1126
+ "grad_norm": 0.6533055901527405,
1127
+ "learning_rate": 8.058905380333952e-06,
1128
+ "loss": 0.521,
1129
+ "step": 80000
1130
+ },
1131
+ {
1132
+ "epoch": 37.34,
1133
+ "grad_norm": 0.4986008107662201,
1134
+ "learning_rate": 7.913961038961038e-06,
1135
+ "loss": 0.5172,
1136
+ "step": 80500
1137
+ },
1138
+ {
1139
+ "epoch": 37.57,
1140
+ "grad_norm": 0.557759165763855,
1141
+ "learning_rate": 7.769016697588126e-06,
1142
+ "loss": 0.5169,
1143
+ "step": 81000
1144
+ },
1145
+ {
1146
+ "epoch": 37.8,
1147
+ "grad_norm": 0.651156485080719,
1148
+ "learning_rate": 7.624072356215214e-06,
1149
+ "loss": 0.5179,
1150
+ "step": 81500
1151
+ },
1152
+ {
1153
+ "epoch": 38.03,
1154
+ "grad_norm": 0.5263897180557251,
1155
+ "learning_rate": 7.479128014842301e-06,
1156
+ "loss": 0.5202,
1157
+ "step": 82000
1158
+ },
1159
+ {
1160
+ "epoch": 38.27,
1161
+ "grad_norm": 0.497855007648468,
1162
+ "learning_rate": 7.334183673469388e-06,
1163
+ "loss": 0.5169,
1164
+ "step": 82500
1165
+ },
1166
+ {
1167
+ "epoch": 38.5,
1168
+ "grad_norm": 0.5888237357139587,
1169
+ "learning_rate": 7.189239332096476e-06,
1170
+ "loss": 0.5172,
1171
+ "step": 83000
1172
+ },
1173
+ {
1174
+ "epoch": 38.73,
1175
+ "grad_norm": 0.7321680188179016,
1176
+ "learning_rate": 7.044294990723562e-06,
1177
+ "loss": 0.5175,
1178
+ "step": 83500
1179
+ },
1180
+ {
1181
+ "epoch": 38.96,
1182
+ "grad_norm": 0.5042610168457031,
1183
+ "learning_rate": 6.899350649350649e-06,
1184
+ "loss": 0.5175,
1185
+ "step": 84000
1186
+ },
1187
+ {
1188
+ "epoch": 39.19,
1189
+ "grad_norm": 0.6449227333068848,
1190
+ "learning_rate": 6.754406307977736e-06,
1191
+ "loss": 0.5185,
1192
+ "step": 84500
1193
+ },
1194
+ {
1195
+ "epoch": 39.42,
1196
+ "grad_norm": 0.4842873215675354,
1197
+ "learning_rate": 6.609461966604823e-06,
1198
+ "loss": 0.5174,
1199
+ "step": 85000
1200
+ },
1201
+ {
1202
+ "epoch": 39.66,
1203
+ "grad_norm": 0.5853040218353271,
1204
+ "learning_rate": 6.464517625231911e-06,
1205
+ "loss": 0.5158,
1206
+ "step": 85500
1207
+ },
1208
+ {
1209
+ "epoch": 39.89,
1210
+ "grad_norm": 0.6231125593185425,
1211
+ "learning_rate": 6.319573283858998e-06,
1212
+ "loss": 0.518,
1213
+ "step": 86000
1214
+ },
1215
+ {
1216
+ "epoch": 40.12,
1217
+ "grad_norm": 0.7321327328681946,
1218
+ "learning_rate": 6.174628942486085e-06,
1219
+ "loss": 0.5101,
1220
+ "step": 86500
1221
+ },
1222
+ {
1223
+ "epoch": 40.35,
1224
+ "grad_norm": 0.48840710520744324,
1225
+ "learning_rate": 6.0296846011131725e-06,
1226
+ "loss": 0.5188,
1227
+ "step": 87000
1228
+ },
1229
+ {
1230
+ "epoch": 40.58,
1231
+ "grad_norm": 0.4609430134296417,
1232
+ "learning_rate": 5.88474025974026e-06,
1233
+ "loss": 0.5156,
1234
+ "step": 87500
1235
+ },
1236
+ {
1237
+ "epoch": 40.82,
1238
+ "grad_norm": 0.7623891234397888,
1239
+ "learning_rate": 5.7397959183673475e-06,
1240
+ "loss": 0.5135,
1241
+ "step": 88000
1242
+ },
1243
+ {
1244
+ "epoch": 41.05,
1245
+ "grad_norm": 0.6465628147125244,
1246
+ "learning_rate": 5.5948515769944346e-06,
1247
+ "loss": 0.5148,
1248
+ "step": 88500
1249
+ },
1250
+ {
1251
+ "epoch": 41.28,
1252
+ "grad_norm": 0.6189027428627014,
1253
+ "learning_rate": 5.449907235621521e-06,
1254
+ "loss": 0.5162,
1255
+ "step": 89000
1256
+ },
1257
+ {
1258
+ "epoch": 41.51,
1259
+ "grad_norm": 0.48868080973625183,
1260
+ "learning_rate": 5.304962894248609e-06,
1261
+ "loss": 0.516,
1262
+ "step": 89500
1263
+ },
1264
+ {
1265
+ "epoch": 41.74,
1266
+ "grad_norm": 0.5011306405067444,
1267
+ "learning_rate": 5.160018552875696e-06,
1268
+ "loss": 0.513,
1269
+ "step": 90000
1270
+ },
1271
+ {
1272
+ "epoch": 41.98,
1273
+ "grad_norm": 0.596338152885437,
1274
+ "learning_rate": 5.015074211502783e-06,
1275
+ "loss": 0.5149,
1276
+ "step": 90500
1277
+ },
1278
+ {
1279
+ "epoch": 42.21,
1280
+ "grad_norm": 0.681685209274292,
1281
+ "learning_rate": 4.87012987012987e-06,
1282
+ "loss": 0.5139,
1283
+ "step": 91000
1284
+ },
1285
+ {
1286
+ "epoch": 42.44,
1287
+ "grad_norm": 0.6109485030174255,
1288
+ "learning_rate": 4.725185528756957e-06,
1289
+ "loss": 0.5145,
1290
+ "step": 91500
1291
+ },
1292
+ {
1293
+ "epoch": 42.67,
1294
+ "grad_norm": 0.6468715071678162,
1295
+ "learning_rate": 4.580241187384045e-06,
1296
+ "loss": 0.5138,
1297
+ "step": 92000
1298
+ },
1299
+ {
1300
+ "epoch": 42.9,
1301
+ "grad_norm": 0.47962233424186707,
1302
+ "learning_rate": 4.435296846011132e-06,
1303
+ "loss": 0.5095,
1304
+ "step": 92500
1305
+ },
1306
+ {
1307
+ "epoch": 43.14,
1308
+ "grad_norm": 0.6052845120429993,
1309
+ "learning_rate": 4.290352504638219e-06,
1310
+ "loss": 0.5129,
1311
+ "step": 93000
1312
+ },
1313
+ {
1314
+ "epoch": 43.37,
1315
+ "grad_norm": 0.49540799856185913,
1316
+ "learning_rate": 4.145408163265306e-06,
1317
+ "loss": 0.5161,
1318
+ "step": 93500
1319
+ },
1320
+ {
1321
+ "epoch": 43.6,
1322
+ "grad_norm": 0.5836204290390015,
1323
+ "learning_rate": 4.000463821892394e-06,
1324
+ "loss": 0.509,
1325
+ "step": 94000
1326
+ },
1327
+ {
1328
+ "epoch": 43.83,
1329
+ "grad_norm": 0.42629340291023254,
1330
+ "learning_rate": 3.85551948051948e-06,
1331
+ "loss": 0.5135,
1332
+ "step": 94500
1333
+ },
1334
+ {
1335
+ "epoch": 44.06,
1336
+ "grad_norm": 0.4765370488166809,
1337
+ "learning_rate": 3.710575139146568e-06,
1338
+ "loss": 0.5107,
1339
+ "step": 95000
1340
+ },
1341
+ {
1342
+ "epoch": 44.29,
1343
+ "grad_norm": 0.6870307326316833,
1344
+ "learning_rate": 3.565630797773655e-06,
1345
+ "loss": 0.5134,
1346
+ "step": 95500
1347
+ },
1348
+ {
1349
+ "epoch": 44.53,
1350
+ "grad_norm": 0.4927411675453186,
1351
+ "learning_rate": 3.4206864564007424e-06,
1352
+ "loss": 0.5083,
1353
+ "step": 96000
1354
+ },
1355
+ {
1356
+ "epoch": 44.76,
1357
+ "grad_norm": 0.5409857034683228,
1358
+ "learning_rate": 3.275742115027829e-06,
1359
+ "loss": 0.5133,
1360
+ "step": 96500
1361
+ },
1362
+ {
1363
+ "epoch": 44.99,
1364
+ "grad_norm": 0.5635824799537659,
1365
+ "learning_rate": 3.1307977736549166e-06,
1366
+ "loss": 0.5111,
1367
+ "step": 97000
1368
+ },
1369
+ {
1370
+ "epoch": 45.22,
1371
+ "grad_norm": 0.6565483212471008,
1372
+ "learning_rate": 2.9858534322820037e-06,
1373
+ "loss": 0.5099,
1374
+ "step": 97500
1375
+ },
1376
+ {
1377
+ "epoch": 45.45,
1378
+ "grad_norm": 0.659949779510498,
1379
+ "learning_rate": 2.840909090909091e-06,
1380
+ "loss": 0.5124,
1381
+ "step": 98000
1382
+ },
1383
+ {
1384
+ "epoch": 45.69,
1385
+ "grad_norm": 0.551925539970398,
1386
+ "learning_rate": 2.6959647495361782e-06,
1387
+ "loss": 0.5105,
1388
+ "step": 98500
1389
+ },
1390
+ {
1391
+ "epoch": 45.92,
1392
+ "grad_norm": 0.6591493487358093,
1393
+ "learning_rate": 2.5510204081632653e-06,
1394
+ "loss": 0.5106,
1395
+ "step": 99000
1396
+ },
1397
+ {
1398
+ "epoch": 46.15,
1399
+ "grad_norm": 0.6934979557991028,
1400
+ "learning_rate": 2.4060760667903524e-06,
1401
+ "loss": 0.5109,
1402
+ "step": 99500
1403
+ },
1404
+ {
1405
+ "epoch": 46.38,
1406
+ "grad_norm": 0.5429938435554504,
1407
+ "learning_rate": 2.26113172541744e-06,
1408
+ "loss": 0.5081,
1409
+ "step": 100000
1410
+ },
1411
+ {
1412
+ "epoch": 46.61,
1413
+ "grad_norm": 0.5906868577003479,
1414
+ "learning_rate": 2.116187384044527e-06,
1415
+ "loss": 0.5106,
1416
+ "step": 100500
1417
+ },
1418
+ {
1419
+ "epoch": 46.85,
1420
+ "grad_norm": 0.7781776785850525,
1421
+ "learning_rate": 1.971243042671614e-06,
1422
+ "loss": 0.5131,
1423
+ "step": 101000
1424
+ },
1425
+ {
1426
+ "epoch": 47.08,
1427
+ "grad_norm": 0.5847499966621399,
1428
+ "learning_rate": 1.8262987012987013e-06,
1429
+ "loss": 0.5101,
1430
+ "step": 101500
1431
+ },
1432
+ {
1433
+ "epoch": 47.31,
1434
+ "grad_norm": 0.49553003907203674,
1435
+ "learning_rate": 1.6813543599257886e-06,
1436
+ "loss": 0.5129,
1437
+ "step": 102000
1438
+ },
1439
+ {
1440
+ "epoch": 47.54,
1441
+ "grad_norm": 0.581206738948822,
1442
+ "learning_rate": 1.5364100185528757e-06,
1443
+ "loss": 0.5122,
1444
+ "step": 102500
1445
+ },
1446
+ {
1447
+ "epoch": 47.77,
1448
+ "grad_norm": 0.7169119715690613,
1449
+ "learning_rate": 1.391465677179963e-06,
1450
+ "loss": 0.5075,
1451
+ "step": 103000
1452
+ },
1453
+ {
1454
+ "epoch": 48.01,
1455
+ "grad_norm": 0.7762653231620789,
1456
+ "learning_rate": 1.24652133580705e-06,
1457
+ "loss": 0.5121,
1458
+ "step": 103500
1459
+ },
1460
+ {
1461
+ "epoch": 48.24,
1462
+ "grad_norm": 0.6211891770362854,
1463
+ "learning_rate": 1.1015769944341372e-06,
1464
+ "loss": 0.5096,
1465
+ "step": 104000
1466
+ },
1467
+ {
1468
+ "epoch": 48.47,
1469
+ "grad_norm": 0.6150048971176147,
1470
+ "learning_rate": 9.566326530612244e-07,
1471
+ "loss": 0.5141,
1472
+ "step": 104500
1473
+ },
1474
+ {
1475
+ "epoch": 48.7,
1476
+ "grad_norm": 0.5785318613052368,
1477
+ "learning_rate": 8.116883116883117e-07,
1478
+ "loss": 0.5066,
1479
+ "step": 105000
1480
+ },
1481
+ {
1482
+ "epoch": 48.93,
1483
+ "grad_norm": 0.64094078540802,
1484
+ "learning_rate": 6.667439703153989e-07,
1485
+ "loss": 0.5066,
1486
+ "step": 105500
1487
+ },
1488
+ {
1489
+ "epoch": 49.17,
1490
+ "grad_norm": 0.5458254218101501,
1491
+ "learning_rate": 5.217996289424861e-07,
1492
+ "loss": 0.5083,
1493
+ "step": 106000
1494
+ },
1495
+ {
1496
+ "epoch": 49.4,
1497
+ "grad_norm": 0.6012634634971619,
1498
+ "learning_rate": 3.768552875695733e-07,
1499
+ "loss": 0.5112,
1500
+ "step": 106500
1501
+ },
1502
+ {
1503
+ "epoch": 49.63,
1504
+ "grad_norm": 0.6441764235496521,
1505
+ "learning_rate": 2.319109461966605e-07,
1506
+ "loss": 0.5094,
1507
+ "step": 107000
1508
+ },
1509
+ {
1510
+ "epoch": 49.86,
1511
+ "grad_norm": 0.5359529852867126,
1512
+ "learning_rate": 8.696660482374769e-08,
1513
+ "loss": 0.5095,
1514
+ "step": 107500
1515
+ },
1516
+ {
1517
+ "epoch": 50.0,
1518
+ "step": 107800,
1519
+ "total_flos": 8.716413062401229e+19,
1520
+ "train_loss": 0.5550972292020724,
1521
+ "train_runtime": 13976.6946,
1522
+ "train_samples_per_second": 61.703,
1523
+ "train_steps_per_second": 7.713
1524
+ }
1525
+ ],
1526
+ "logging_steps": 500,
1527
+ "max_steps": 107800,
1528
+ "num_input_tokens_seen": 0,
1529
+ "num_train_epochs": 50,
1530
+ "save_steps": 1000000000,
1531
+ "total_flos": 8.716413062401229e+19,
1532
+ "train_batch_size": 8,
1533
+ "trial_name": null,
1534
+ "trial_params": null
1535
+ }