andrew-healey commited on
Commit
f6dc53c
·
verified ·
1 Parent(s): 49938e3

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1342/args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1342", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 17500, "warmup_steps": 200, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1342, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": 3.25e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3.25e-5_30720_4_1342", "n_embd": 256}
attention_kindselective_n_heads4_seed1342/dataloader_17499.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:584ddc45f1addd41e01adcc6cf70f582d8774c147c912cd238caff8ebf7fb069
3
+ size 964
attention_kindselective_n_heads4_seed1342/log2.txt ADDED
@@ -0,0 +1,528 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ max_steps: 17500
2
+ 0 val loss 11.2907
3
+ 0 val perplexity 80077.4453
4
+ 0 train 11.286213 (lr=1.6250e-07) (hash(x)=150332693)
5
+ 100 val loss 9.9210
6
+ 100 val perplexity 20352.7031
7
+ 100 train 9.943149 (lr=1.6412e-05) (hash(x)=148948662)
8
+ 200 val loss 8.8456
9
+ 200 val perplexity 6943.5645
10
+ 200 train 8.764943 (lr=3.2500e-05) (hash(x)=149277319)
11
+ 300 val loss 7.8158
12
+ 300 val perplexity 2479.5896
13
+ 300 train 7.699074 (lr=3.2498e-05) (hash(x)=146429920)
14
+ 400 val loss 7.5422
15
+ 400 val perplexity 1886.0404
16
+ 400 train 7.658668 (lr=3.2490e-05) (hash(x)=155934075)
17
+ 500 val loss 7.4469
18
+ 500 val perplexity 1714.5961
19
+ 500 train 7.449210 (lr=3.2478e-05) (hash(x)=157510366)
20
+ 600 val loss 7.3775
21
+ 600 val perplexity 1599.5120
22
+ 600 train 7.494113 (lr=3.2461e-05) (hash(x)=165402628)
23
+ 700 val loss 7.3098
24
+ 700 val perplexity 1494.8848
25
+ 700 train 7.372377 (lr=3.2440e-05) (hash(x)=166427433)
26
+ 800 val loss 7.2453
27
+ 800 val perplexity 1401.5107
28
+ 800 train 7.043656 (lr=3.2413e-05) (hash(x)=139168939)
29
+ 900 val loss 7.1972
30
+ 900 val perplexity 1335.7433
31
+ 900 train 7.097889 (lr=3.2382e-05) (hash(x)=144698667)
32
+ 1000 val loss 7.1481
33
+ 1000 val perplexity 1271.6613
34
+ 1000 train 7.133333 (lr=3.2346e-05) (hash(x)=147134338)
35
+ 1100 val loss 7.0959
36
+ 1100 val perplexity 1207.0054
37
+ 1100 train 7.058327 (lr=3.2305e-05) (hash(x)=147172640)
38
+ 1200 val loss 7.0486
39
+ 1200 val perplexity 1151.2061
40
+ 1200 train 7.053260 (lr=3.2260e-05) (hash(x)=159086459)
41
+ 1300 val loss 7.0029
42
+ 1300 val perplexity 1099.8055
43
+ 1300 train 6.757029 (lr=3.2209e-05) (hash(x)=141578940)
44
+ 1400 val loss 6.9632
45
+ 1400 val perplexity 1057.0172
46
+ 1400 train 7.025721 (lr=3.2154e-05) (hash(x)=152399099)
47
+ 1500 val loss 6.9023
48
+ 1500 val perplexity 994.5381
49
+ 1500 train 6.985551 (lr=3.2094e-05) (hash(x)=158569712)
50
+ 1600 val loss 6.8529
51
+ 1600 val perplexity 946.5969
52
+ 1600 train 6.953071 (lr=3.2030e-05) (hash(x)=156548843)
53
+ 1700 val loss 6.7977
54
+ 1700 val perplexity 895.8251
55
+ 1700 train 6.806039 (lr=3.1961e-05) (hash(x)=152608173)
56
+ 1800 val loss 6.7500
57
+ 1800 val perplexity 854.0690
58
+ 1800 train 6.826288 (lr=3.1887e-05) (hash(x)=157889911)
59
+ 1900 val loss 6.7062
60
+ 1900 val perplexity 817.4597
61
+ 1900 train 6.672256 (lr=3.1809e-05) (hash(x)=140839139)
62
+ 2000 val loss 6.6697
63
+ 2000 val perplexity 788.1506
64
+ 2000 train 6.555364 (lr=3.1726e-05) (hash(x)=142943707)
65
+ 2100 val loss 6.6246
66
+ 2100 val perplexity 753.4261
67
+ 2100 train 6.591334 (lr=3.1638e-05) (hash(x)=151025344)
68
+ 2200 val loss 6.5868
69
+ 2200 val perplexity 725.4727
70
+ 2200 train 6.594067 (lr=3.1546e-05) (hash(x)=148938689)
71
+ 2300 val loss 6.5577
72
+ 2300 val perplexity 704.6324
73
+ 2300 train 6.518873 (lr=3.1449e-05) (hash(x)=150321226)
74
+ 2400 val loss 6.5091
75
+ 2400 val perplexity 671.1996
76
+ 2400 train 6.753350 (lr=3.1348e-05) (hash(x)=161962903)
77
+ 2500 val loss 6.4833
78
+ 2500 val perplexity 654.1196
79
+ 2500 train 6.418224 (lr=3.1243e-05) (hash(x)=153085222)
80
+ 2600 val loss 6.4487
81
+ 2600 val perplexity 631.8550
82
+ 2600 train 6.508657 (lr=3.1133e-05) (hash(x)=145979235)
83
+ 2700 val loss 6.4258
84
+ 2700 val perplexity 617.5670
85
+ 2700 train 6.490528 (lr=3.1019e-05) (hash(x)=149091945)
86
+ 2800 val loss 6.4006
87
+ 2800 val perplexity 602.2289
88
+ 2800 train 6.484369 (lr=3.0900e-05) (hash(x)=159157507)
89
+ 2900 val loss 6.3882
90
+ 2900 val perplexity 594.7667
91
+ 2900 train 6.396844 (lr=3.0777e-05) (hash(x)=155377499)
92
+ 3000 val loss 6.3600
93
+ 3000 val perplexity 578.2189
94
+ 3000 train 6.319705 (lr=3.0650e-05) (hash(x)=145943130)
95
+ 3100 val loss 6.3322
96
+ 3100 val perplexity 562.4135
97
+ 3100 train 6.391010 (lr=3.0518e-05) (hash(x)=153264973)
98
+ 3200 val loss 6.3080
99
+ 3200 val perplexity 548.9350
100
+ 3200 train 6.146701 (lr=3.0383e-05) (hash(x)=143249173)
101
+ 3300 val loss 6.2994
102
+ 3300 val perplexity 544.2535
103
+ 3300 train 6.307387 (lr=3.0243e-05) (hash(x)=155558767)
104
+ 3400 val loss 6.2723
105
+ 3400 val perplexity 529.6979
106
+ 3400 train 6.214176 (lr=3.0099e-05) (hash(x)=144137265)
107
+ 3500 val loss 6.2528
108
+ 3500 val perplexity 519.4819
109
+ 3500 train 6.451112 (lr=2.9952e-05) (hash(x)=154379201)
110
+ 3600 val loss 6.2379
111
+ 3600 val perplexity 511.8052
112
+ 3600 train 6.370066 (lr=2.9800e-05) (hash(x)=158728918)
113
+ 3700 val loss 6.2239
114
+ 3700 val perplexity 504.6459
115
+ 3700 train 5.971830 (lr=2.9644e-05) (hash(x)=139902844)
116
+ 3800 val loss 6.2162
117
+ 3800 val perplexity 500.8030
118
+ 3800 train 6.299497 (lr=2.9485e-05) (hash(x)=160738928)
119
+ 3900 val loss 6.1909
120
+ 3900 val perplexity 488.2827
121
+ 3900 train 6.231839 (lr=2.9321e-05) (hash(x)=156122233)
122
+ 4000 val loss 6.1714
123
+ 4000 val perplexity 478.8499
124
+ 4000 train 6.007371 (lr=2.9154e-05) (hash(x)=136691174)
125
+ 4100 val loss 6.1697
126
+ 4100 val perplexity 478.0639
127
+ 4100 train 6.138481 (lr=2.8983e-05) (hash(x)=150135523)
128
+ 4200 val loss 6.1566
129
+ 4200 val perplexity 471.8432
130
+ 4200 train 6.149134 (lr=2.8808e-05) (hash(x)=154053307)
131
+ 4300 val loss 6.1458
132
+ 4300 val perplexity 466.7565
133
+ 4300 train 5.931820 (lr=2.8630e-05) (hash(x)=136076439)
134
+ 4400 val loss 6.1281
135
+ 4400 val perplexity 458.5824
136
+ 4400 train 6.025293 (lr=2.8448e-05) (hash(x)=147368042)
137
+ 4500 val loss 6.1132
138
+ 4500 val perplexity 451.7802
139
+ 4500 train 6.206073 (lr=2.8263e-05) (hash(x)=163726147)
140
+ 4600 val loss 6.0976
141
+ 4600 val perplexity 444.7792
142
+ 4600 train 6.113523 (lr=2.8075e-05) (hash(x)=151996388)
143
+ 4700 val loss 6.0855
144
+ 4700 val perplexity 439.4369
145
+ 4700 train 6.137928 (lr=2.7883e-05) (hash(x)=148952763)
146
+ 4800 val loss 6.0812
147
+ 4800 val perplexity 437.5425
148
+ 4800 train 6.004941 (lr=2.7687e-05) (hash(x)=139747769)
149
+ 4900 val loss 6.0717
150
+ 4900 val perplexity 433.4262
151
+ 4900 train 5.939377 (lr=2.7489e-05) (hash(x)=145011383)
152
+ 5000 val loss 6.0599
153
+ 5000 val perplexity 428.3344
154
+ 5000 train 6.082546 (lr=2.7287e-05) (hash(x)=153449428)
155
+ 5100 val loss 6.0476
156
+ 5100 val perplexity 423.1035
157
+ 5100 train 6.091887 (lr=2.7082e-05) (hash(x)=161397672)
158
+ 5200 val loss 6.0315
159
+ 5200 val perplexity 416.3513
160
+ 5200 train 6.013671 (lr=2.6874e-05) (hash(x)=164813156)
161
+ 5300 val loss 6.0209
162
+ 5300 val perplexity 411.9349
163
+ 5300 train 6.068652 (lr=2.6664e-05) (hash(x)=146155759)
164
+ 5400 val loss 6.0193
165
+ 5400 val perplexity 411.3075
166
+ 5400 train 6.090827 (lr=2.6450e-05) (hash(x)=152337652)
167
+ 5500 val loss 6.0072
168
+ 5500 val perplexity 406.3346
169
+ 5500 train 5.868421 (lr=2.6233e-05) (hash(x)=148346631)
170
+ 5600 val loss 5.9981
171
+ 5600 val perplexity 402.6518
172
+ 5600 train 5.910365 (lr=2.6014e-05) (hash(x)=146652463)
173
+ 5700 val loss 5.9894
174
+ 5700 val perplexity 399.1822
175
+ 5700 train 5.936297 (lr=2.5792e-05) (hash(x)=147553632)
176
+ 5800 val loss 5.9710
177
+ 5800 val perplexity 391.8972
178
+ 5800 train 6.067301 (lr=2.5567e-05) (hash(x)=153512314)
179
+ 5900 val loss 5.9650
180
+ 5900 val perplexity 389.5436
181
+ 5900 train 5.942406 (lr=2.5340e-05) (hash(x)=137351707)
182
+ 6000 val loss 5.9541
183
+ 6000 val perplexity 385.3337
184
+ 6000 train 5.976089 (lr=2.5111e-05) (hash(x)=143375055)
185
+ 6100 val loss 5.9517
186
+ 6100 val perplexity 384.4194
187
+ 6100 train 5.977683 (lr=2.4879e-05) (hash(x)=144781857)
188
+ 6200 val loss 5.9378
189
+ 6200 val perplexity 379.0844
190
+ 6200 train 6.171885 (lr=2.4644e-05) (hash(x)=167556812)
191
+ 6300 val loss 5.9337
192
+ 6300 val perplexity 377.5300
193
+ 6300 train 6.092905 (lr=2.4408e-05) (hash(x)=162290597)
194
+ 6400 val loss 5.9223
195
+ 6400 val perplexity 373.2822
196
+ 6400 train 5.821190 (lr=2.4169e-05) (hash(x)=144836361)
197
+ 6500 val loss 5.9054
198
+ 6500 val perplexity 367.0234
199
+ 6500 train 5.778796 (lr=2.3928e-05) (hash(x)=150949131)
200
+ 6600 val loss 5.9223
201
+ 6600 val perplexity 373.2838
202
+ 6600 train 5.985580 (lr=2.3686e-05) (hash(x)=151386312)
203
+ 6700 val loss 5.8876
204
+ 6700 val perplexity 360.5525
205
+ 6700 train 5.970166 (lr=2.3441e-05) (hash(x)=159840718)
206
+ 6800 val loss 5.8800
207
+ 6800 val perplexity 357.8123
208
+ 6800 train 5.971055 (lr=2.3195e-05) (hash(x)=158843242)
209
+ 6900 val loss 5.8727
210
+ 6900 val perplexity 355.2012
211
+ 6900 train 6.100095 (lr=2.2946e-05) (hash(x)=160544793)
212
+ 7000 val loss 5.8631
213
+ 7000 val perplexity 351.8195
214
+ 7000 train 5.713056 (lr=2.2696e-05) (hash(x)=139031423)
215
+ 7100 val loss 5.8606
216
+ 7100 val perplexity 350.9410
217
+ 7100 train 5.813060 (lr=2.2445e-05) (hash(x)=148444150)
218
+ 7200 val loss 5.8529
219
+ 7200 val perplexity 348.2327
220
+ 7200 train 6.190878 (lr=2.2192e-05) (hash(x)=162348298)
221
+ 7300 val loss 5.8435
222
+ 7300 val perplexity 345.0013
223
+ 7300 train 5.890631 (lr=2.1937e-05) (hash(x)=160070640)
224
+ 7400 val loss 5.8353
225
+ 7400 val perplexity 342.1762
226
+ 7400 train 5.759228 (lr=2.1682e-05) (hash(x)=142907242)
227
+ 7500 val loss 5.8300
228
+ 7500 val perplexity 340.3468
229
+ 7500 train 5.815858 (lr=2.1425e-05) (hash(x)=155567735)
230
+ 7600 val loss 5.8206
231
+ 7600 val perplexity 337.1619
232
+ 7600 train 5.675367 (lr=2.1166e-05) (hash(x)=149026190)
233
+ 7700 val loss 5.8122
234
+ 7700 val perplexity 334.3678
235
+ 7700 train 6.354319 (lr=2.0907e-05) (hash(x)=172973386)
236
+ 7800 val loss 5.8100
237
+ 7800 val perplexity 333.6221
238
+ 7800 train 5.794294 (lr=2.0647e-05) (hash(x)=148166384)
239
+ 7900 val loss 5.8004
240
+ 7900 val perplexity 330.4375
241
+ 7900 train 6.223359 (lr=2.0386e-05) (hash(x)=174580801)
242
+ 8000 val loss 5.7914
243
+ 8000 val perplexity 327.4816
244
+ 8000 train 5.803993 (lr=2.0123e-05) (hash(x)=153576391)
245
+ 8100 val loss 5.7841
246
+ 8100 val perplexity 325.0847
247
+ 8100 train 5.681134 (lr=1.9861e-05) (hash(x)=143483378)
248
+ 8200 val loss 5.7820
249
+ 8200 val perplexity 324.3921
250
+ 8200 train 6.249942 (lr=1.9597e-05) (hash(x)=125210829)
251
+ 8300 val loss 5.7756
252
+ 8300 val perplexity 322.3530
253
+ 8300 train 5.698894 (lr=1.9333e-05) (hash(x)=152432601)
254
+ 8400 val loss 5.7777
255
+ 8400 val perplexity 323.0283
256
+ 8400 train 5.651137 (lr=1.9069e-05) (hash(x)=148759990)
257
+ 8500 val loss 5.7614
258
+ 8500 val perplexity 317.8048
259
+ 8500 train 5.744183 (lr=1.8804e-05) (hash(x)=156974533)
260
+ 8600 val loss 5.7548
261
+ 8600 val perplexity 315.6933
262
+ 8600 train 5.871877 (lr=1.8539e-05) (hash(x)=155441439)
263
+ 8700 val loss 5.7501
264
+ 8700 val perplexity 314.2266
265
+ 8700 train 5.732445 (lr=1.8273e-05) (hash(x)=149001504)
266
+ 8800 val loss 5.7452
267
+ 8800 val perplexity 312.6789
268
+ 8800 train 5.619228 (lr=1.8008e-05) (hash(x)=144721722)
269
+ 8900 val loss 5.7395
270
+ 8900 val perplexity 310.9202
271
+ 8900 train 5.648099 (lr=1.7742e-05) (hash(x)=151789511)
272
+ 9000 val loss 5.7362
273
+ 9000 val perplexity 309.8998
274
+ 9000 train 5.668345 (lr=1.7477e-05) (hash(x)=151307797)
275
+ 9100 val loss 5.7284
276
+ 9100 val perplexity 307.4894
277
+ 9100 train 5.858921 (lr=1.7211e-05) (hash(x)=155534554)
278
+ 9200 val loss 5.7233
279
+ 9200 val perplexity 305.9167
280
+ 9200 train 5.622472 (lr=1.6946e-05) (hash(x)=138467356)
281
+ 9300 val loss 5.7209
282
+ 9300 val perplexity 305.1840
283
+ 9300 train 5.654151 (lr=1.6681e-05) (hash(x)=148622510)
284
+ 9400 val loss 5.7137
285
+ 9400 val perplexity 303.0007
286
+ 9400 train 5.844534 (lr=1.6417e-05) (hash(x)=154343672)
287
+ 9500 val loss 5.7113
288
+ 9500 val perplexity 302.2711
289
+ 9500 train 5.699077 (lr=1.6153e-05) (hash(x)=156831628)
290
+ 9600 val loss 5.7072
291
+ 9600 val perplexity 301.0198
292
+ 9600 train 5.483487 (lr=1.5889e-05) (hash(x)=142190812)
293
+ 9700 val loss 5.6971
294
+ 9700 val perplexity 298.0132
295
+ 9700 train 5.597317 (lr=1.5627e-05) (hash(x)=146487376)
296
+ 9800 val loss 5.6923
297
+ 9800 val perplexity 296.5642
298
+ 9800 train 5.762100 (lr=1.5364e-05) (hash(x)=164178945)
299
+ 9900 val loss 5.6894
300
+ 9900 val perplexity 295.7070
301
+ 9900 train 5.551723 (lr=1.5103e-05) (hash(x)=142224918)
302
+ 10000 val loss 5.6884
303
+ 10000 val perplexity 295.4115
304
+ 10000 train 5.614565 (lr=1.4843e-05) (hash(x)=148509740)
305
+ 10100 val loss 5.6823
306
+ 10100 val perplexity 293.6255
307
+ 10100 train 5.746253 (lr=1.4584e-05) (hash(x)=153536520)
308
+ 10200 val loss 5.6733
309
+ 10200 val perplexity 290.9957
310
+ 10200 train 5.608801 (lr=1.4325e-05) (hash(x)=153740168)
311
+ 10300 val loss 5.6889
312
+ 10300 val perplexity 295.5677
313
+ 10300 train 5.645096 (lr=1.4068e-05) (hash(x)=160410260)
314
+ 10400 val loss 5.6682
315
+ 10400 val perplexity 289.5168
316
+ 10400 train 5.824097 (lr=1.3813e-05) (hash(x)=136788294)
317
+ 10500 val loss 5.6622
318
+ 10500 val perplexity 287.7668
319
+ 10500 train 5.517078 (lr=1.3558e-05) (hash(x)=153988760)
320
+ 10600 val loss 5.6585
321
+ 10600 val perplexity 286.7173
322
+ 10600 train 5.546037 (lr=1.3305e-05) (hash(x)=141896522)
323
+ 10700 val loss 5.6583
324
+ 10700 val perplexity 286.6493
325
+ 10700 train 6.007439 (lr=1.3054e-05) (hash(x)=147057702)
326
+ 10800 val loss 5.6483
327
+ 10800 val perplexity 283.8185
328
+ 10800 train 5.720152 (lr=1.2804e-05) (hash(x)=157542287)
329
+ 10900 val loss 5.6443
330
+ 10900 val perplexity 282.6749
331
+ 10900 train 5.721572 (lr=1.2555e-05) (hash(x)=153860040)
332
+ 11000 val loss 5.6408
333
+ 11000 val perplexity 281.6780
334
+ 11000 train 5.501269 (lr=1.2309e-05) (hash(x)=142932555)
335
+ 11100 val loss 5.6365
336
+ 11100 val perplexity 280.4904
337
+ 11100 train 5.674755 (lr=1.2064e-05) (hash(x)=146260760)
338
+ 11200 val loss 5.6382
339
+ 11200 val perplexity 280.9466
340
+ 11200 train 5.741637 (lr=1.1822e-05) (hash(x)=148970533)
341
+ 11300 val loss 5.6323
342
+ 11300 val perplexity 279.3171
343
+ 11300 train 5.654080 (lr=1.1581e-05) (hash(x)=149421645)
344
+ 11400 val loss 5.6261
345
+ 11400 val perplexity 277.5911
346
+ 11400 train 5.560232 (lr=1.1342e-05) (hash(x)=158728429)
347
+ 11500 val loss 5.6225
348
+ 11500 val perplexity 276.5673
349
+ 11500 train 5.730070 (lr=1.1106e-05) (hash(x)=139524335)
350
+ 11600 val loss 5.6225
351
+ 11600 val perplexity 276.5689
352
+ 11600 train 5.659407 (lr=1.0871e-05) (hash(x)=152760174)
353
+ 11700 val loss 5.6180
354
+ 11700 val perplexity 275.3245
355
+ 11700 train 5.519762 (lr=1.0639e-05) (hash(x)=140740682)
356
+ 11800 val loss 5.6172
357
+ 11800 val perplexity 275.1151
358
+ 11800 train 5.465315 (lr=1.0410e-05) (hash(x)=153665407)
359
+ 11900 val loss 5.6156
360
+ 11900 val perplexity 274.6813
361
+ 11900 train 5.564779 (lr=1.0183e-05) (hash(x)=163068424)
362
+ 12000 val loss 5.6077
363
+ 12000 val perplexity 272.5207
364
+ 12000 train 5.665866 (lr=9.9580e-06) (hash(x)=145166541)
365
+ 12100 val loss 5.6057
366
+ 12100 val perplexity 271.9738
367
+ 12100 train 5.569032 (lr=9.7360e-06) (hash(x)=143228042)
368
+ 12200 val loss 5.6028
369
+ 12200 val perplexity 271.1841
370
+ 12200 train 5.703817 (lr=9.5167e-06) (hash(x)=159222680)
371
+ 12300 val loss 5.6012
372
+ 12300 val perplexity 270.7473
373
+ 12300 train 5.551047 (lr=9.3001e-06) (hash(x)=145196157)
374
+ 12400 val loss 5.5979
375
+ 12400 val perplexity 269.8643
376
+ 12400 train 5.523250 (lr=9.0864e-06) (hash(x)=143033742)
377
+ 12500 val loss 5.5977
378
+ 12500 val perplexity 269.8084
379
+ 12500 train 5.637140 (lr=8.8756e-06) (hash(x)=151133346)
380
+ 12600 val loss 5.5936
381
+ 12600 val perplexity 268.7136
382
+ 12600 train 5.616040 (lr=8.6677e-06) (hash(x)=153607184)
383
+ 12700 val loss 5.5890
384
+ 12700 val perplexity 267.4702
385
+ 12700 train 5.499484 (lr=8.4629e-06) (hash(x)=136931911)
386
+ 12800 val loss 5.5876
387
+ 12800 val perplexity 267.0939
388
+ 12800 train 5.697507 (lr=8.2612e-06) (hash(x)=155105402)
389
+ 12900 val loss 5.5868
390
+ 12900 val perplexity 266.8801
391
+ 12900 train 5.419711 (lr=8.0627e-06) (hash(x)=144141636)
392
+ 13000 val loss 5.5876
393
+ 13000 val perplexity 267.0950
394
+ 13000 train 5.509489 (lr=7.8674e-06) (hash(x)=139380218)
395
+ 13100 val loss 5.5797
396
+ 13100 val perplexity 264.9858
397
+ 13100 train 5.683111 (lr=7.6754e-06) (hash(x)=157695174)
398
+ 13200 val loss 5.5790
399
+ 13200 val perplexity 264.8096
400
+ 13200 train 5.524367 (lr=7.4867e-06) (hash(x)=143697560)
401
+ 13300 val loss 5.5759
402
+ 13300 val perplexity 263.9969
403
+ 13300 train 5.406800 (lr=7.3015e-06) (hash(x)=156314952)
404
+ 13400 val loss 5.5758
405
+ 13400 val perplexity 263.9568
406
+ 13400 train 5.547408 (lr=7.1198e-06) (hash(x)=136720279)
407
+ 13500 val loss 5.5748
408
+ 13500 val perplexity 263.7006
409
+ 13500 train 5.532155 (lr=6.9416e-06) (hash(x)=142579957)
410
+ 13600 val loss 5.5756
411
+ 13600 val perplexity 263.9139
412
+ 13600 train 5.289562 (lr=6.7670e-06) (hash(x)=140719440)
413
+ 13700 val loss 5.5755
414
+ 13700 val perplexity 263.8818
415
+ 13700 train 5.670376 (lr=6.5961e-06) (hash(x)=164396003)
416
+ 13800 val loss 5.5686
417
+ 13800 val perplexity 262.0556
418
+ 13800 train 5.625392 (lr=6.4289e-06) (hash(x)=152712862)
419
+ 13900 val loss 5.5644
420
+ 13900 val perplexity 260.9780
421
+ 13900 train 5.587784 (lr=6.2655e-06) (hash(x)=160985139)
422
+ 14000 val loss 5.5626
423
+ 14000 val perplexity 260.4993
424
+ 14000 train 5.565255 (lr=6.1059e-06) (hash(x)=147429379)
425
+ 14100 val loss 5.5613
426
+ 14100 val perplexity 260.1722
427
+ 14100 train 5.627103 (lr=5.9502e-06) (hash(x)=131830470)
428
+ 14200 val loss 5.5633
429
+ 14200 val perplexity 260.6945
430
+ 14200 train 5.305113 (lr=5.7984e-06) (hash(x)=146383028)
431
+ 14300 val loss 5.5595
432
+ 14300 val perplexity 259.6993
433
+ 14300 train 5.609846 (lr=5.6506e-06) (hash(x)=157158747)
434
+ 14400 val loss 5.5622
435
+ 14400 val perplexity 260.3876
436
+ 14400 train 5.420488 (lr=5.5068e-06) (hash(x)=143911520)
437
+ 14500 val loss 5.5625
438
+ 14500 val perplexity 260.4818
439
+ 14500 train 5.335642 (lr=5.3671e-06) (hash(x)=159555347)
440
+ 14600 val loss 5.5564
441
+ 14600 val perplexity 258.8873
442
+ 14600 train 5.560647 (lr=5.2316e-06) (hash(x)=152957062)
443
+ 14700 val loss 5.5522
444
+ 14700 val perplexity 257.7971
445
+ 14700 train 5.625054 (lr=5.1002e-06) (hash(x)=156001594)
446
+ 14800 val loss 5.5512
447
+ 14800 val perplexity 257.5373
448
+ 14800 train 5.657235 (lr=4.9730e-06) (hash(x)=145885458)
449
+ 14900 val loss 5.5487
450
+ 14900 val perplexity 256.9017
451
+ 14900 train 5.622381 (lr=4.8501e-06) (hash(x)=144544291)
452
+ 15000 val loss 5.5491
453
+ 15000 val perplexity 257.0116
454
+ 15000 train 5.556798 (lr=4.7314e-06) (hash(x)=154606709)
455
+ 15100 val loss 5.5484
456
+ 15100 val perplexity 256.8292
457
+ 15100 train 5.593152 (lr=4.6171e-06) (hash(x)=156005324)
458
+ 15200 val loss 5.5506
459
+ 15200 val perplexity 257.3899
460
+ 15200 train 5.648378 (lr=4.5072e-06) (hash(x)=158847373)
461
+ 15300 val loss 5.5508
462
+ 15300 val perplexity 257.4484
463
+ 15300 train 5.334248 (lr=4.4017e-06) (hash(x)=159609594)
464
+ 15400 val loss 5.5455
465
+ 15400 val perplexity 256.0708
466
+ 15400 train 5.643424 (lr=4.3006e-06) (hash(x)=152428492)
467
+ 15500 val loss 5.5420
468
+ 15500 val perplexity 255.1837
469
+ 15500 train 5.612495 (lr=4.2040e-06) (hash(x)=162251192)
470
+ 15600 val loss 5.5408
471
+ 15600 val perplexity 254.8778
472
+ 15600 train 5.792667 (lr=4.1119e-06) (hash(x)=155072002)
473
+ 15700 val loss 5.5408
474
+ 15700 val perplexity 254.8784
475
+ 15700 train 5.562519 (lr=4.0244e-06) (hash(x)=151203094)
476
+ 15800 val loss 5.5395
477
+ 15800 val perplexity 254.5390
478
+ 15800 train 5.467110 (lr=3.9414e-06) (hash(x)=146125932)
479
+ 15900 val loss 5.5390
480
+ 15900 val perplexity 254.4307
481
+ 15900 train 5.412131 (lr=3.8630e-06) (hash(x)=148060195)
482
+ 16000 val loss 5.5403
483
+ 16000 val perplexity 254.7613
484
+ 16000 train 5.244052 (lr=3.7892e-06) (hash(x)=137406416)
485
+ 16100 val loss 5.5406
486
+ 16100 val perplexity 254.8330
487
+ 16100 train 5.603872 (lr=3.7201e-06) (hash(x)=160149755)
488
+ 16200 val loss 5.5347
489
+ 16200 val perplexity 253.3356
490
+ 16200 train 5.715085 (lr=3.6556e-06) (hash(x)=151371894)
491
+ 16300 val loss 5.5332
492
+ 16300 val perplexity 252.9408
493
+ 16300 train 5.589443 (lr=3.5959e-06) (hash(x)=151810252)
494
+ 16400 val loss 5.5319
495
+ 16400 val perplexity 252.6117
496
+ 16400 train 5.517071 (lr=3.5408e-06) (hash(x)=153088303)
497
+ 16500 val loss 5.5314
498
+ 16500 val perplexity 252.5005
499
+ 16500 train 5.410724 (lr=3.4905e-06) (hash(x)=151706615)
500
+ 16600 val loss 5.5295
501
+ 16600 val perplexity 252.0252
502
+ 16600 train 5.427650 (lr=3.4449e-06) (hash(x)=142110626)
503
+ 16700 val loss 5.5305
504
+ 16700 val perplexity 252.2643
505
+ 16700 train 5.427150 (lr=3.4041e-06) (hash(x)=153222439)
506
+ 16800 val loss 5.5297
507
+ 16800 val perplexity 252.0710
508
+ 16800 train 5.448761 (lr=3.3680e-06) (hash(x)=154964902)
509
+ 16900 val loss 5.5264
510
+ 16900 val perplexity 251.2368
511
+ 16900 train 5.686378 (lr=3.3367e-06) (hash(x)=158893204)
512
+ 17000 val loss 5.5250
513
+ 17000 val perplexity 250.8958
514
+ 17000 train 5.454472 (lr=3.3102e-06) (hash(x)=148929955)
515
+ 17100 val loss 5.5259
516
+ 17100 val perplexity 251.1136
517
+ 17100 train 5.539378 (lr=3.2886e-06) (hash(x)=147818677)
518
+ 17200 val loss 5.5243
519
+ 17200 val perplexity 250.7198
520
+ 17200 train 5.456254 (lr=3.2717e-06) (hash(x)=147119446)
521
+ 17300 val loss 5.5240
522
+ 17300 val perplexity 250.6337
523
+ 17300 train 5.575593 (lr=3.2596e-06) (hash(x)=150494142)
524
+ 17400 val loss 5.5245
525
+ 17400 val perplexity 250.7691
526
+ 17400 train 5.557147 (lr=3.2524e-06) (hash(x)=155918058)
527
+ 17499 val loss 5.5225
528
+ 17499 val perplexity 250.2664
attention_kindselective_n_heads4_seed1342/model_17499.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bfcb58747e9c1a758d5d5cc9c3751f077e21cf4336de84d9b33c35dcc8c3ccb
3
+ size 92843394
attention_kindselective_n_heads4_seed1342/optimizer_17499.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d724ae9cc4ad82d4bca42989b48a19daf300f0696210809e9b80107bbccec269
3
+ size 179406214