andrew-healey commited on
Commit
5a3f9fb
·
verified ·
1 Parent(s): 9647bed

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1345/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1345", "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": 1345, "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_1345", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1345", "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": 1345, "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": 2.75e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "2.75e-5_30720_4_1345", "n_embd": 256}
attention_kindselective_n_heads4_seed1345/log2.txt CHANGED
@@ -1,528 +1,528 @@
1
  max_steps: 17500
2
  0 val loss 11.2682
3
  0 val perplexity 78293.8047
4
- 0 train 11.260221 (lr=1.6250e-07) (hash(x)=134751525)
5
- 100 val loss 9.9509
6
- 100 val perplexity 20971.9102
7
- 100 train 10.005062 (lr=1.6412e-05) (hash(x)=144692155)
8
- 200 val loss 9.1865
9
- 200 val perplexity 9764.0762
10
- 200 train 9.186141 (lr=3.2500e-05) (hash(x)=150358957)
11
- 300 val loss 8.2416
12
- 300 val perplexity 3795.5759
13
- 300 train 8.247768 (lr=3.2498e-05) (hash(x)=150268299)
14
- 400 val loss 7.8259
15
- 400 val perplexity 2504.7554
16
- 400 train 7.739417 (lr=3.2490e-05) (hash(x)=126319983)
17
- 500 val loss 7.6182
18
- 500 val perplexity 2034.9335
19
- 500 train 7.662487 (lr=3.2478e-05) (hash(x)=153934799)
20
- 600 val loss 7.5104
21
- 600 val perplexity 1827.0092
22
- 600 train 7.547043 (lr=3.2461e-05) (hash(x)=159305874)
23
- 700 val loss 7.4383
24
- 700 val perplexity 1699.8833
25
- 700 train 7.282788 (lr=3.2440e-05) (hash(x)=141986303)
26
- 800 val loss 7.3900
27
- 800 val perplexity 1619.6603
28
- 800 train 7.376721 (lr=3.2413e-05) (hash(x)=149855631)
29
- 900 val loss 7.3498
30
- 900 val perplexity 1555.8484
31
- 900 train 7.228592 (lr=3.2382e-05) (hash(x)=149870240)
32
- 1000 val loss 7.2929
33
- 1000 val perplexity 1469.7900
34
- 1000 train 7.360933 (lr=3.2346e-05) (hash(x)=150706760)
35
- 1100 val loss 7.2379
36
- 1100 val perplexity 1391.1984
37
- 1100 train 7.074641 (lr=3.2305e-05) (hash(x)=139020621)
38
- 1200 val loss 7.1946
39
- 1200 val perplexity 1332.1755
40
- 1200 train 7.057891 (lr=3.2260e-05) (hash(x)=146858163)
41
- 1300 val loss 7.1576
42
- 1300 val perplexity 1283.8492
43
- 1300 train 7.224605 (lr=3.2209e-05) (hash(x)=156383408)
44
- 1400 val loss 7.1333
45
- 1400 val perplexity 1252.9684
46
- 1400 train 7.060022 (lr=3.2154e-05) (hash(x)=144262072)
47
- 1500 val loss 7.0878
48
- 1500 val perplexity 1197.3103
49
- 1500 train 6.939501 (lr=3.2094e-05) (hash(x)=144528048)
50
- 1600 val loss 7.0391
51
- 1600 val perplexity 1140.3126
52
- 1600 train 6.955491 (lr=3.2030e-05) (hash(x)=135443880)
53
- 1700 val loss 6.9995
54
- 1700 val perplexity 1096.1010
55
- 1700 train 6.916674 (lr=3.1961e-05) (hash(x)=145067496)
56
- 1800 val loss 6.9578
57
- 1800 val perplexity 1051.3185
58
- 1800 train 6.918793 (lr=3.1887e-05) (hash(x)=153147388)
59
- 1900 val loss 6.9111
60
- 1900 val perplexity 1003.3770
61
- 1900 train 6.801150 (lr=3.1809e-05) (hash(x)=151331979)
62
- 2000 val loss 6.8813
63
- 2000 val perplexity 973.9022
64
- 2000 train 6.678115 (lr=3.1726e-05) (hash(x)=151448445)
65
- 2100 val loss 6.8426
66
- 2100 val perplexity 936.9084
67
- 2100 train 6.747893 (lr=3.1638e-05) (hash(x)=157223072)
68
- 2200 val loss 6.8096
69
- 2200 val perplexity 906.5486
70
- 2200 train 6.822385 (lr=3.1546e-05) (hash(x)=153161010)
71
- 2300 val loss 6.7690
72
- 2300 val perplexity 870.4435
73
- 2300 train 6.856603 (lr=3.1449e-05) (hash(x)=156906742)
74
- 2400 val loss 6.7498
75
- 2400 val perplexity 853.9199
76
- 2400 train 6.636610 (lr=3.1348e-05) (hash(x)=143227423)
77
- 2500 val loss 6.7043
78
- 2500 val perplexity 815.8697
79
- 2500 train 6.638939 (lr=3.1243e-05) (hash(x)=151827079)
80
- 2600 val loss 6.6780
81
- 2600 val perplexity 794.7333
82
- 2600 train 7.153996 (lr=3.1133e-05) (hash(x)=176373796)
83
- 2700 val loss 6.6564
84
- 2700 val perplexity 777.7272
85
- 2700 train 6.593842 (lr=3.1019e-05) (hash(x)=148437519)
86
- 2800 val loss 6.6258
87
- 2800 val perplexity 754.2744
88
- 2800 train 6.623206 (lr=3.0900e-05) (hash(x)=155989503)
89
- 2900 val loss 6.5986
90
- 2900 val perplexity 734.0786
91
- 2900 train 6.736583 (lr=3.0777e-05) (hash(x)=159227845)
92
- 3000 val loss 6.5678
93
- 3000 val perplexity 711.8181
94
- 3000 train 6.593345 (lr=3.0650e-05) (hash(x)=156507542)
95
- 3100 val loss 6.5396
96
- 3100 val perplexity 691.9895
97
- 3100 train 6.525067 (lr=3.0518e-05) (hash(x)=155771797)
98
- 3200 val loss 6.5217
99
- 3200 val perplexity 679.7400
100
- 3200 train 6.444234 (lr=3.0383e-05) (hash(x)=156078901)
101
- 3300 val loss 6.4924
102
- 3300 val perplexity 660.1191
103
- 3300 train 6.362537 (lr=3.0243e-05) (hash(x)=143722886)
104
- 3400 val loss 6.4715
105
- 3400 val perplexity 646.4329
106
- 3400 train 6.399912 (lr=3.0099e-05) (hash(x)=143793373)
107
- 3500 val loss 6.4543
108
- 3500 val perplexity 635.4442
109
- 3500 train 6.709872 (lr=2.9952e-05) (hash(x)=147278080)
110
- 3600 val loss 6.4274
111
- 3600 val perplexity 618.5666
112
- 3600 train 7.150148 (lr=2.9800e-05) (hash(x)=175299205)
113
- 3700 val loss 6.4063
114
- 3700 val perplexity 605.6692
115
- 3700 train 6.446000 (lr=2.9644e-05) (hash(x)=150047891)
116
- 3800 val loss 6.3847
117
- 3800 val perplexity 592.7319
118
- 3800 train 6.414546 (lr=2.9485e-05) (hash(x)=153419668)
119
- 3900 val loss 6.3675
120
- 3900 val perplexity 582.6219
121
- 3900 train 6.473610 (lr=2.9321e-05) (hash(x)=153147630)
122
- 4000 val loss 6.3503
123
- 4000 val perplexity 572.6838
124
- 4000 train 6.184350 (lr=2.9154e-05) (hash(x)=142428269)
125
- 4100 val loss 6.3389
126
- 4100 val perplexity 566.1708
127
- 4100 train 6.225300 (lr=2.8983e-05) (hash(x)=148836993)
128
- 4200 val loss 6.3193
129
- 4200 val perplexity 555.1793
130
- 4200 train 6.366936 (lr=2.8808e-05) (hash(x)=159557219)
131
- 4300 val loss 6.3010
132
- 4300 val perplexity 545.0898
133
- 4300 train 6.417048 (lr=2.8630e-05) (hash(x)=154137450)
134
- 4400 val loss 6.2802
135
- 4400 val perplexity 533.8776
136
- 4400 train 6.427896 (lr=2.8448e-05) (hash(x)=153336405)
137
- 4500 val loss 6.2660
138
- 4500 val perplexity 526.3508
139
- 4500 train 6.238311 (lr=2.8263e-05) (hash(x)=145729145)
140
- 4600 val loss 6.2631
141
- 4600 val perplexity 524.8270
142
- 4600 train 6.266792 (lr=2.8075e-05) (hash(x)=157789272)
143
- 4700 val loss 6.2471
144
- 4700 val perplexity 516.4915
145
- 4700 train 6.222703 (lr=2.7883e-05) (hash(x)=146146781)
146
- 4800 val loss 6.2314
147
- 4800 val perplexity 508.4698
148
- 4800 train 6.240023 (lr=2.7687e-05) (hash(x)=149454469)
149
- 4900 val loss 6.2125
150
- 4900 val perplexity 498.9409
151
- 4900 train 6.299968 (lr=2.7489e-05) (hash(x)=155966467)
152
- 5000 val loss 6.2044
153
- 5000 val perplexity 494.9347
154
- 5000 train 6.158088 (lr=2.7287e-05) (hash(x)=147184546)
155
- 5100 val loss 6.1919
156
- 5100 val perplexity 488.7724
157
- 5100 train 6.167572 (lr=2.7082e-05) (hash(x)=149019501)
158
- 5200 val loss 6.1775
159
- 5200 val perplexity 481.8079
160
- 5200 train 6.079477 (lr=2.6874e-05) (hash(x)=143521586)
161
- 5300 val loss 6.1643
162
- 5300 val perplexity 475.4693
163
- 5300 train 6.025494 (lr=2.6664e-05) (hash(x)=143870567)
164
- 5400 val loss 6.1496
165
- 5400 val perplexity 468.5291
166
- 5400 train 6.164584 (lr=2.6450e-05) (hash(x)=150658725)
167
- 5500 val loss 6.1392
168
- 5500 val perplexity 463.6912
169
- 5500 train 6.165554 (lr=2.6233e-05) (hash(x)=147645530)
170
- 5600 val loss 6.1279
171
- 5600 val perplexity 458.4820
172
- 5600 train 6.166198 (lr=2.6014e-05) (hash(x)=146088410)
173
- 5700 val loss 6.1144
174
- 5700 val perplexity 452.3112
175
- 5700 train 6.213290 (lr=2.5792e-05) (hash(x)=151193083)
176
- 5800 val loss 6.1091
177
- 5800 val perplexity 449.9164
178
- 5800 train 5.871378 (lr=2.5567e-05) (hash(x)=137474865)
179
- 5900 val loss 6.1057
180
- 5900 val perplexity 448.4180
181
- 5900 train 6.060199 (lr=2.5340e-05) (hash(x)=142426763)
182
- 6000 val loss 6.0816
183
- 6000 val perplexity 437.7228
184
- 6000 train 5.857378 (lr=2.5111e-05) (hash(x)=140492670)
185
- 6100 val loss 6.0692
186
- 6100 val perplexity 432.3176
187
- 6100 train 6.123445 (lr=2.4879e-05) (hash(x)=175687796)
188
- 6200 val loss 6.0592
189
- 6200 val perplexity 428.0246
190
- 6200 train 6.116088 (lr=2.4644e-05) (hash(x)=165841139)
191
- 6300 val loss 6.0548
192
- 6300 val perplexity 426.1531
193
- 6300 train 6.104833 (lr=2.4408e-05) (hash(x)=145328367)
194
- 6400 val loss 6.0470
195
- 6400 val perplexity 422.8510
196
- 6400 train 6.033661 (lr=2.4169e-05) (hash(x)=148213323)
197
- 6500 val loss 6.0358
198
- 6500 val perplexity 418.1525
199
- 6500 train 6.119610 (lr=2.3928e-05) (hash(x)=153344426)
200
- 6600 val loss 6.0248
201
- 6600 val perplexity 413.5683
202
- 6600 train 5.989787 (lr=2.3686e-05) (hash(x)=145840902)
203
- 6700 val loss 6.0156
204
- 6700 val perplexity 409.7875
205
- 6700 train 5.850917 (lr=2.3441e-05) (hash(x)=142812723)
206
- 6800 val loss 6.0129
207
- 6800 val perplexity 408.6497
208
- 6800 train 5.857504 (lr=2.3195e-05) (hash(x)=147420964)
209
- 6900 val loss 6.0023
210
- 6900 val perplexity 404.3388
211
- 6900 train 6.047520 (lr=2.2946e-05) (hash(x)=152637292)
212
- 7000 val loss 5.9893
213
- 7000 val perplexity 399.1236
214
- 7000 train 5.988328 (lr=2.2696e-05) (hash(x)=144728159)
215
- 7100 val loss 5.9800
216
- 7100 val perplexity 395.4302
217
- 7100 train 5.956685 (lr=2.2445e-05) (hash(x)=143450899)
218
- 7200 val loss 5.9678
219
- 7200 val perplexity 390.6588
220
- 7200 train 6.042522 (lr=2.2192e-05) (hash(x)=156229897)
221
- 7300 val loss 5.9604
222
- 7300 val perplexity 387.7628
223
- 7300 train 5.833129 (lr=2.1937e-05) (hash(x)=147447250)
224
- 7400 val loss 5.9574
225
- 7400 val perplexity 386.6089
226
- 7400 train 5.701279 (lr=2.1682e-05) (hash(x)=134836112)
227
- 7500 val loss 5.9543
228
- 7500 val perplexity 385.4186
229
- 7500 train 5.960179 (lr=2.1425e-05) (hash(x)=155027499)
230
- 7600 val loss 5.9378
231
- 7600 val perplexity 379.0817
232
- 7600 train 5.817950 (lr=2.1166e-05) (hash(x)=145744849)
233
- 7700 val loss 5.9286
234
- 7700 val perplexity 375.6128
235
- 7700 train 6.050512 (lr=2.0907e-05) (hash(x)=158082973)
236
- 7800 val loss 5.9247
237
- 7800 val perplexity 374.1752
238
- 7800 train 6.063409 (lr=2.0647e-05) (hash(x)=161538768)
239
- 7900 val loss 5.9136
240
- 7900 val perplexity 370.0218
241
- 7900 train 6.012225 (lr=2.0386e-05) (hash(x)=152103064)
242
- 8000 val loss 5.9084
243
- 8000 val perplexity 368.1076
244
- 8000 train 5.911327 (lr=2.0123e-05) (hash(x)=152409525)
245
- 8100 val loss 5.9014
246
- 8100 val perplexity 365.5402
247
- 8100 train 5.876762 (lr=1.9861e-05) (hash(x)=150986182)
248
- 8200 val loss 5.8890
249
- 8200 val perplexity 361.0322
250
- 8200 train 5.892981 (lr=1.9597e-05) (hash(x)=159555650)
251
- 8300 val loss 5.8882
252
- 8300 val perplexity 360.7704
253
- 8300 train 6.041511 (lr=1.9333e-05) (hash(x)=139602404)
254
- 8400 val loss 5.8763
255
- 8400 val perplexity 356.4845
256
- 8400 train 5.777814 (lr=1.9069e-05) (hash(x)=154432574)
257
- 8500 val loss 5.8692
258
- 8500 val perplexity 353.9774
259
- 8500 train 5.809097 (lr=1.8804e-05) (hash(x)=142554189)
260
- 8600 val loss 5.8649
261
- 8600 val perplexity 352.4355
262
- 8600 train 5.816896 (lr=1.8539e-05) (hash(x)=151300791)
263
- 8700 val loss 5.8605
264
- 8700 val perplexity 350.9152
265
- 8700 train 5.849548 (lr=1.8273e-05) (hash(x)=148488790)
266
- 8800 val loss 5.8597
267
- 8800 val perplexity 350.6023
268
- 8800 train 5.884410 (lr=1.8008e-05) (hash(x)=156797847)
269
- 8900 val loss 5.8430
270
- 8900 val perplexity 344.7959
271
- 8900 train 5.666561 (lr=1.7742e-05) (hash(x)=143919631)
272
- 9000 val loss 5.8368
273
- 9000 val perplexity 342.6675
274
- 9000 train 5.780665 (lr=1.7477e-05) (hash(x)=148706835)
275
- 9100 val loss 5.8310
276
- 9100 val perplexity 340.7010
277
- 9100 train 5.844406 (lr=1.7211e-05) (hash(x)=153074259)
278
- 9200 val loss 5.8274
279
- 9200 val perplexity 339.4596
280
- 9200 train 5.747160 (lr=1.6946e-05) (hash(x)=151127077)
281
- 9300 val loss 5.8239
282
- 9300 val perplexity 338.2773
283
- 9300 train 5.715285 (lr=1.6681e-05) (hash(x)=152170602)
284
- 9400 val loss 5.8309
285
- 9400 val perplexity 340.6801
286
- 9400 train 5.866196 (lr=1.6417e-05) (hash(x)=153874803)
287
- 9500 val loss 5.8052
288
- 9500 val perplexity 332.0251
289
- 9500 train 5.803330 (lr=1.6153e-05) (hash(x)=157021298)
290
- 9600 val loss 5.7999
291
- 9600 val perplexity 330.2598
292
- 9600 train 5.633519 (lr=1.5889e-05) (hash(x)=135620494)
293
- 9700 val loss 5.7949
294
- 9700 val perplexity 328.6039
295
- 9700 train 5.519158 (lr=1.5627e-05) (hash(x)=142434463)
296
- 9800 val loss 5.7910
297
- 9800 val perplexity 327.3397
298
- 9800 train 5.659460 (lr=1.5364e-05) (hash(x)=149075541)
299
- 9900 val loss 5.7879
300
- 9900 val perplexity 326.3245
301
- 9900 train 5.656864 (lr=1.5103e-05) (hash(x)=141901425)
302
- 10000 val loss 5.7953
303
- 10000 val perplexity 328.7514
304
- 10000 train 5.779858 (lr=1.4843e-05) (hash(x)=133062699)
305
- 10100 val loss 5.7730
306
- 10100 val perplexity 321.5122
307
- 10100 train 5.806496 (lr=1.4584e-05) (hash(x)=157339196)
308
- 10200 val loss 5.7692
309
- 10200 val perplexity 320.2876
310
- 10200 train 5.539021 (lr=1.4325e-05) (hash(x)=131082121)
311
- 10300 val loss 5.7667
312
- 10300 val perplexity 319.4867
313
- 10300 train 5.867615 (lr=1.4068e-05) (hash(x)=144553757)
314
- 10400 val loss 5.7597
315
- 10400 val perplexity 317.2390
316
- 10400 train 5.552857 (lr=1.3813e-05) (hash(x)=143398861)
317
- 10500 val loss 5.7583
318
- 10500 val perplexity 316.8132
319
- 10500 train 5.756111 (lr=1.3558e-05) (hash(x)=157633809)
320
- 10600 val loss 5.7498
321
- 10600 val perplexity 314.1412
322
- 10600 train 5.741689 (lr=1.3305e-05) (hash(x)=147294315)
323
- 10700 val loss 5.7437
324
- 10700 val perplexity 312.2167
325
- 10700 train 5.868924 (lr=1.3054e-05) (hash(x)=157735028)
326
- 10800 val loss 5.7377
327
- 10800 val perplexity 310.3455
328
- 10800 train 5.709660 (lr=1.2804e-05) (hash(x)=149846113)
329
- 10900 val loss 5.7336
330
- 10900 val perplexity 309.0825
331
- 10900 train 6.117226 (lr=1.2555e-05) (hash(x)=157353556)
332
- 11000 val loss 5.7338
333
- 11000 val perplexity 309.1367
334
- 11000 train 6.042399 (lr=1.2309e-05) (hash(x)=160672627)
335
- 11100 val loss 5.7295
336
- 11100 val perplexity 307.8035
337
- 11100 train 5.947324 (lr=1.2064e-05) (hash(x)=166692335)
338
- 11200 val loss 5.7213
339
- 11200 val perplexity 305.3054
340
- 11200 train 5.786076 (lr=1.1822e-05) (hash(x)=158899869)
341
- 11300 val loss 5.7176
342
- 11300 val perplexity 304.1765
343
- 11300 train 5.999375 (lr=1.1581e-05) (hash(x)=166306828)
344
- 11400 val loss 5.7132
345
- 11400 val perplexity 302.8427
346
- 11400 train 5.638960 (lr=1.1342e-05) (hash(x)=149545840)
347
- 11500 val loss 5.7106
348
- 11500 val perplexity 302.0578
349
- 11500 train 5.682230 (lr=1.1106e-05) (hash(x)=139076910)
350
- 11600 val loss 5.7091
351
- 11600 val perplexity 301.5869
352
- 11600 train 5.547813 (lr=1.0871e-05) (hash(x)=151871279)
353
- 11700 val loss 5.7054
354
- 11700 val perplexity 300.4809
355
- 11700 train 5.650321 (lr=1.0639e-05) (hash(x)=152940196)
356
- 11800 val loss 5.7005
357
- 11800 val perplexity 299.0240
358
- 11800 train 5.795137 (lr=1.0410e-05) (hash(x)=150754129)
359
- 11900 val loss 5.6965
360
- 11900 val perplexity 297.8329
361
- 11900 train 5.651140 (lr=1.0183e-05) (hash(x)=148982597)
362
- 12000 val loss 5.6934
363
- 12000 val perplexity 296.9042
364
- 12000 train 5.739422 (lr=9.9580e-06) (hash(x)=167798390)
365
- 12100 val loss 5.6929
366
- 12100 val perplexity 296.7506
367
- 12100 train 5.770573 (lr=9.7360e-06) (hash(x)=146590810)
368
- 12200 val loss 5.6882
369
- 12200 val perplexity 295.3570
370
- 12200 train 5.914321 (lr=9.5167e-06) (hash(x)=159875780)
371
- 12300 val loss 5.6856
372
- 12300 val perplexity 294.5880
373
- 12300 train 5.556276 (lr=9.3001e-06) (hash(x)=135887861)
374
- 12400 val loss 5.6782
375
- 12400 val perplexity 292.4197
376
- 12400 train 5.741988 (lr=9.0864e-06) (hash(x)=150484221)
377
- 12500 val loss 5.6753
378
- 12500 val perplexity 291.5758
379
- 12500 train 5.678569 (lr=8.8756e-06) (hash(x)=157629455)
380
- 12600 val loss 5.6724
381
- 12600 val perplexity 290.7240
382
- 12600 train 5.573870 (lr=8.6677e-06) (hash(x)=147308692)
383
- 12700 val loss 5.6697
384
- 12700 val perplexity 289.9527
385
- 12700 train 5.501825 (lr=8.4629e-06) (hash(x)=144614722)
386
- 12800 val loss 5.6691
387
- 12800 val perplexity 289.7650
388
- 12800 train 5.460669 (lr=8.2612e-06) (hash(x)=137633606)
389
- 12900 val loss 5.6668
390
- 12900 val perplexity 289.1100
391
- 12900 train 5.705952 (lr=8.0627e-06) (hash(x)=155534772)
392
- 13000 val loss 5.6622
393
- 13000 val perplexity 287.7739
394
- 13000 train 5.678839 (lr=7.8674e-06) (hash(x)=148501470)
395
- 13100 val loss 5.6638
396
- 13100 val perplexity 288.2448
397
- 13100 train 5.714143 (lr=7.6754e-06) (hash(x)=154570618)
398
- 13200 val loss 5.6586
399
- 13200 val perplexity 286.7396
400
- 13200 train 5.754503 (lr=7.4867e-06) (hash(x)=154153766)
401
- 13300 val loss 5.6554
402
- 13300 val perplexity 285.8399
403
- 13300 train 5.440732 (lr=7.3015e-06) (hash(x)=162760888)
404
- 13400 val loss 5.6491
405
- 13400 val perplexity 284.0410
406
- 13400 train 5.471959 (lr=7.1198e-06) (hash(x)=143223528)
407
- 13500 val loss 5.6572
408
- 13500 val perplexity 286.3402
409
- 13500 train 5.813179 (lr=6.9416e-06) (hash(x)=156416986)
410
- 13600 val loss 5.6509
411
- 13600 val perplexity 284.5387
412
- 13600 train 5.653998 (lr=6.7670e-06) (hash(x)=147521418)
413
- 13700 val loss 5.6469
414
- 13700 val perplexity 283.4187
415
- 13700 train 5.624448 (lr=6.5961e-06) (hash(x)=151127796)
416
- 13800 val loss 5.6449
417
- 13800 val perplexity 282.8326
418
- 13800 train 5.705256 (lr=6.4289e-06) (hash(x)=156863042)
419
- 13900 val loss 5.6405
420
- 13900 val perplexity 281.6073
421
- 13900 train 5.639185 (lr=6.2655e-06) (hash(x)=170986545)
422
- 14000 val loss 5.6390
423
- 14000 val perplexity 281.1731
424
- 14000 train 6.109547 (lr=6.1059e-06) (hash(x)=170744741)
425
- 14100 val loss 5.6369
426
- 14100 val perplexity 280.5912
427
- 14100 train 6.027566 (lr=5.9502e-06) (hash(x)=142328767)
428
- 14200 val loss 5.6352
429
- 14200 val perplexity 280.1212
430
- 14200 train 5.782619 (lr=5.7984e-06) (hash(x)=156141076)
431
- 14300 val loss 5.6390
432
- 14300 val perplexity 281.1808
433
- 14300 train 5.619442 (lr=5.6506e-06) (hash(x)=155447298)
434
- 14400 val loss 5.6338
435
- 14400 val perplexity 279.7176
436
- 14400 train 5.563756 (lr=5.5068e-06) (hash(x)=151991844)
437
- 14500 val loss 5.6289
438
- 14500 val perplexity 278.3420
439
- 14500 train 5.609061 (lr=5.3671e-06) (hash(x)=149773009)
440
- 14600 val loss 5.6268
441
- 14600 val perplexity 277.7750
442
- 14600 train 5.578854 (lr=5.2316e-06) (hash(x)=153836753)
443
- 14700 val loss 5.6251
444
- 14700 val perplexity 277.3060
445
- 14700 train 5.757289 (lr=5.1002e-06) (hash(x)=155466746)
446
- 14800 val loss 5.6251
447
- 14800 val perplexity 277.3113
448
- 14800 train 5.559618 (lr=4.9730e-06) (hash(x)=150110933)
449
- 14900 val loss 5.6249
450
- 14900 val perplexity 277.2558
451
- 14900 train 5.509522 (lr=4.8501e-06) (hash(x)=144558528)
452
- 15000 val loss 5.6233
453
- 15000 val perplexity 276.8149
454
- 15000 train 5.560644 (lr=4.7314e-06) (hash(x)=148315702)
455
- 15100 val loss 5.6197
456
- 15100 val perplexity 275.8152
457
- 15100 train 5.463153 (lr=4.6171e-06) (hash(x)=148452301)
458
- 15200 val loss 5.6183
459
- 15200 val perplexity 275.4343
460
- 15200 train 5.877840 (lr=4.5072e-06) (hash(x)=162181769)
461
- 15300 val loss 5.6160
462
- 15300 val perplexity 274.7894
463
- 15300 train 5.540632 (lr=4.4017e-06) (hash(x)=147256707)
464
- 15400 val loss 5.6156
465
- 15400 val perplexity 274.6822
466
- 15400 train 5.716757 (lr=4.3006e-06) (hash(x)=154947797)
467
- 15500 val loss 5.6154
468
- 15500 val perplexity 274.6259
469
- 15500 train 5.637792 (lr=4.2040e-06) (hash(x)=164200136)
470
- 15600 val loss 5.6145
471
- 15600 val perplexity 274.3805
472
- 15600 train 5.486223 (lr=4.1119e-06) (hash(x)=145086131)
473
- 15700 val loss 5.6103
474
- 15700 val perplexity 273.2360
475
- 15700 train 5.546430 (lr=4.0244e-06) (hash(x)=152070006)
476
- 15800 val loss 5.6083
477
- 15800 val perplexity 272.6676
478
- 15800 train 5.639931 (lr=3.9414e-06) (hash(x)=150969760)
479
- 15900 val loss 5.6074
480
- 15900 val perplexity 272.4455
481
- 15900 train 5.629735 (lr=3.8630e-06) (hash(x)=149495681)
482
- 16000 val loss 5.6077
483
- 16000 val perplexity 272.5269
484
- 16000 train 5.721963 (lr=3.7892e-06) (hash(x)=159383533)
485
- 16100 val loss 5.6071
486
- 16100 val perplexity 272.3398
487
- 16100 train 5.477306 (lr=3.7201e-06) (hash(x)=154365611)
488
- 16200 val loss 5.6055
489
- 16200 val perplexity 271.9151
490
- 16200 train 5.766246 (lr=3.6556e-06) (hash(x)=154284815)
491
- 16300 val loss 5.6043
492
- 16300 val perplexity 271.5936
493
- 16300 train 5.592812 (lr=3.5959e-06) (hash(x)=148416573)
494
- 16400 val loss 5.6020
495
- 16400 val perplexity 270.9808
496
- 16400 train 5.550043 (lr=3.5408e-06) (hash(x)=150447087)
497
- 16500 val loss 5.6026
498
- 16500 val perplexity 271.1364
499
- 16500 train 5.598300 (lr=3.4905e-06) (hash(x)=156112678)
500
- 16600 val loss 5.6009
501
- 16600 val perplexity 270.6564
502
- 16600 train 5.541498 (lr=3.4449e-06) (hash(x)=150449728)
503
- 16700 val loss 5.5990
504
- 16700 val perplexity 270.1480
505
- 16700 train 5.659224 (lr=3.4041e-06) (hash(x)=153905935)
506
- 16800 val loss 5.5963
507
- 16800 val perplexity 269.4264
508
- 16800 train 5.567451 (lr=3.3680e-06) (hash(x)=144086573)
509
- 16900 val loss 5.5958
510
- 16900 val perplexity 269.2966
511
- 16900 train 5.576754 (lr=3.3367e-06) (hash(x)=145863379)
512
- 17000 val loss 5.5965
513
- 17000 val perplexity 269.4939
514
- 17000 train 5.673267 (lr=3.3102e-06) (hash(x)=149054226)
515
- 17100 val loss 5.5967
516
- 17100 val perplexity 269.5238
517
- 17100 train 5.496261 (lr=3.2886e-06) (hash(x)=147109203)
518
- 17200 val loss 5.5944
519
- 17200 val perplexity 268.9105
520
- 17200 train 5.528384 (lr=3.2717e-06) (hash(x)=141837353)
521
- 17300 val loss 5.5926
522
- 17300 val perplexity 268.4294
523
- 17300 train 5.605858 (lr=3.2596e-06) (hash(x)=148542064)
524
- 17400 val loss 5.5909
525
- 17400 val perplexity 267.9839
526
- 17400 train 5.420087 (lr=3.2524e-06) (hash(x)=140939390)
527
- 17499 val loss 5.5898
528
- 17499 val perplexity 267.6847
 
1
  max_steps: 17500
2
  0 val loss 11.2682
3
  0 val perplexity 78293.8047
4
+ 0 train 11.260221 (lr=1.3750e-07) (hash(x)=134751525)
5
+ 100 val loss 9.9741
6
+ 100 val perplexity 21462.4883
7
+ 100 train 10.027493 (lr=1.3888e-05) (hash(x)=144692155)
8
+ 200 val loss 9.1613
9
+ 200 val perplexity 9521.1787
10
+ 200 train 9.159481 (lr=2.7500e-05) (hash(x)=150358957)
11
+ 300 val loss 8.1686
12
+ 300 val perplexity 3528.2529
13
+ 300 train 8.171468 (lr=2.7498e-05) (hash(x)=150268299)
14
+ 400 val loss 7.7362
15
+ 400 val perplexity 2289.8330
16
+ 400 train 7.624838 (lr=2.7492e-05) (hash(x)=126319983)
17
+ 500 val loss 7.5661
18
+ 500 val perplexity 1931.6543
19
+ 500 train 7.605038 (lr=2.7482e-05) (hash(x)=153934799)
20
+ 600 val loss 7.4930
21
+ 600 val perplexity 1795.4475
22
+ 600 train 7.530370 (lr=2.7467e-05) (hash(x)=159305874)
23
+ 700 val loss 7.4455
24
+ 700 val perplexity 1712.0765
25
+ 700 train 7.294768 (lr=2.7449e-05) (hash(x)=141986303)
26
+ 800 val loss 7.3948
27
+ 800 val perplexity 1627.5183
28
+ 800 train 7.382443 (lr=2.7427e-05) (hash(x)=149855631)
29
+ 900 val loss 7.3619
30
+ 900 val perplexity 1574.8647
31
+ 900 train 7.247046 (lr=2.7400e-05) (hash(x)=149870240)
32
+ 1000 val loss 7.3060
33
+ 1000 val perplexity 1489.1378
34
+ 1000 train 7.371290 (lr=2.7370e-05) (hash(x)=150706760)
35
+ 1100 val loss 7.2489
36
+ 1100 val perplexity 1406.5090
37
+ 1100 train 7.083115 (lr=2.7335e-05) (hash(x)=139020621)
38
+ 1200 val loss 7.2008
39
+ 1200 val perplexity 1340.5052
40
+ 1200 train 7.062435 (lr=2.7297e-05) (hash(x)=146858163)
41
+ 1300 val loss 7.1540
42
+ 1300 val perplexity 1279.1831
43
+ 1300 train 7.220582 (lr=2.7254e-05) (hash(x)=156383408)
44
+ 1400 val loss 7.1133
45
+ 1400 val perplexity 1228.2540
46
+ 1400 train 7.038970 (lr=2.7207e-05) (hash(x)=144262072)
47
+ 1500 val loss 7.0632
48
+ 1500 val perplexity 1168.1650
49
+ 1500 train 6.913478 (lr=2.7157e-05) (hash(x)=144528048)
50
+ 1600 val loss 7.0113
51
+ 1600 val perplexity 1109.1151
52
+ 1600 train 6.920944 (lr=2.7102e-05) (hash(x)=135443880)
53
+ 1700 val loss 6.9677
54
+ 1700 val perplexity 1061.7262
55
+ 1700 train 6.881925 (lr=2.7044e-05) (hash(x)=145067496)
56
+ 1800 val loss 6.9206
57
+ 1800 val perplexity 1012.9618
58
+ 1800 train 6.887111 (lr=2.6981e-05) (hash(x)=153147388)
59
+ 1900 val loss 6.8833
60
+ 1900 val perplexity 975.8537
61
+ 1900 train 6.770248 (lr=2.6915e-05) (hash(x)=151331979)
62
+ 2000 val loss 6.8543
63
+ 2000 val perplexity 947.9027
64
+ 2000 train 6.654613 (lr=2.6845e-05) (hash(x)=151448445)
65
+ 2100 val loss 6.8099
66
+ 2100 val perplexity 906.7886
67
+ 2100 train 6.713923 (lr=2.6771e-05) (hash(x)=157223072)
68
+ 2200 val loss 6.7706
69
+ 2200 val perplexity 871.8455
70
+ 2200 train 6.788996 (lr=2.6693e-05) (hash(x)=153161010)
71
+ 2300 val loss 6.7284
72
+ 2300 val perplexity 835.7784
73
+ 2300 train 6.822313 (lr=2.6611e-05) (hash(x)=156906742)
74
+ 2400 val loss 6.6899
75
+ 2400 val perplexity 804.2026
76
+ 2400 train 6.579828 (lr=2.6525e-05) (hash(x)=143227423)
77
+ 2500 val loss 6.6550
78
+ 2500 val perplexity 776.6259
79
+ 2500 train 6.595893 (lr=2.6436e-05) (hash(x)=151827079)
80
+ 2600 val loss 6.6273
81
+ 2600 val perplexity 755.4677
82
+ 2600 train 7.095065 (lr=2.6343e-05) (hash(x)=176373796)
83
+ 2700 val loss 6.5964
84
+ 2700 val perplexity 732.4643
85
+ 2700 train 6.528737 (lr=2.6246e-05) (hash(x)=148437519)
86
+ 2800 val loss 6.5631
87
+ 2800 val perplexity 708.4465
88
+ 2800 train 6.557635 (lr=2.6146e-05) (hash(x)=155989503)
89
+ 2900 val loss 6.5361
90
+ 2900 val perplexity 689.5892
91
+ 2900 train 6.679256 (lr=2.6042e-05) (hash(x)=159227845)
92
+ 3000 val loss 6.5026
93
+ 3000 val perplexity 666.9011
94
+ 3000 train 6.532772 (lr=2.5934e-05) (hash(x)=156507542)
95
+ 3100 val loss 6.4796
96
+ 3100 val perplexity 651.6872
97
+ 3100 train 6.461687 (lr=2.5823e-05) (hash(x)=155771797)
98
+ 3200 val loss 6.4591
99
+ 3200 val perplexity 638.5018
100
+ 3200 train 6.388371 (lr=2.5709e-05) (hash(x)=156078901)
101
+ 3300 val loss 6.4423
102
+ 3300 val perplexity 627.8578
103
+ 3300 train 6.308543 (lr=2.5590e-05) (hash(x)=143722886)
104
+ 3400 val loss 6.4188
105
+ 3400 val perplexity 613.2950
106
+ 3400 train 6.350288 (lr=2.5469e-05) (hash(x)=143793373)
107
+ 3500 val loss 6.4059
108
+ 3500 val perplexity 605.4356
109
+ 3500 train 6.674269 (lr=2.5344e-05) (hash(x)=147278080)
110
+ 3600 val loss 6.3855
111
+ 3600 val perplexity 593.1544
112
+ 3600 train 7.135920 (lr=2.5215e-05) (hash(x)=175299205)
113
+ 3700 val loss 6.3668
114
+ 3700 val perplexity 582.2192
115
+ 3700 train 6.413411 (lr=2.5083e-05) (hash(x)=150047891)
116
+ 3800 val loss 6.3519
117
+ 3800 val perplexity 573.5791
118
+ 3800 train 6.386917 (lr=2.4948e-05) (hash(x)=153419668)
119
+ 3900 val loss 6.3366
120
+ 3900 val perplexity 564.8861
121
+ 3900 train 6.443740 (lr=2.4810e-05) (hash(x)=153147630)
122
+ 4000 val loss 6.3259
123
+ 4000 val perplexity 558.8497
124
+ 4000 train 6.156206 (lr=2.4669e-05) (hash(x)=142428269)
125
+ 4100 val loss 6.3129
126
+ 4100 val perplexity 551.6161
127
+ 4100 train 6.203323 (lr=2.4524e-05) (hash(x)=148836993)
128
+ 4200 val loss 6.2912
129
+ 4200 val perplexity 539.7895
130
+ 4200 train 6.330721 (lr=2.4376e-05) (hash(x)=159557219)
131
+ 4300 val loss 6.2730
132
+ 4300 val perplexity 530.0608
133
+ 4300 train 6.398037 (lr=2.4226e-05) (hash(x)=154137450)
134
+ 4400 val loss 6.2580
135
+ 4400 val perplexity 522.1805
136
+ 4400 train 6.403801 (lr=2.4072e-05) (hash(x)=153336405)
137
+ 4500 val loss 6.2460
138
+ 4500 val perplexity 515.9446
139
+ 4500 train 6.215734 (lr=2.3915e-05) (hash(x)=145729145)
140
+ 4600 val loss 6.2403
141
+ 4600 val perplexity 512.9949
142
+ 4600 train 6.238625 (lr=2.3755e-05) (hash(x)=157789272)
143
+ 4700 val loss 6.2274
144
+ 4700 val perplexity 506.4304
145
+ 4700 train 6.206923 (lr=2.3593e-05) (hash(x)=146146781)
146
+ 4800 val loss 6.2177
147
+ 4800 val perplexity 501.5366
148
+ 4800 train 6.236666 (lr=2.3428e-05) (hash(x)=149454469)
149
+ 4900 val loss 6.1956
150
+ 4900 val perplexity 490.5988
151
+ 4900 train 6.281262 (lr=2.3260e-05) (hash(x)=155966467)
152
+ 5000 val loss 6.1866
153
+ 5000 val perplexity 486.1723
154
+ 5000 train 6.147305 (lr=2.3089e-05) (hash(x)=147184546)
155
+ 5100 val loss 6.1814
156
+ 5100 val perplexity 483.6863
157
+ 5100 train 6.149019 (lr=2.2916e-05) (hash(x)=149019501)
158
+ 5200 val loss 6.1627
159
+ 5200 val perplexity 474.7027
160
+ 5200 train 6.074359 (lr=2.2740e-05) (hash(x)=143521586)
161
+ 5300 val loss 6.1547
162
+ 5300 val perplexity 470.9441
163
+ 5300 train 6.016900 (lr=2.2561e-05) (hash(x)=143870567)
164
+ 5400 val loss 6.1443
165
+ 5400 val perplexity 466.0328
166
+ 5400 train 6.154491 (lr=2.2381e-05) (hash(x)=150658725)
167
+ 5500 val loss 6.1307
168
+ 5500 val perplexity 459.7487
169
+ 5500 train 6.157629 (lr=2.2197e-05) (hash(x)=147645530)
170
+ 5600 val loss 6.1238
171
+ 5600 val perplexity 456.6107
172
+ 5600 train 6.163533 (lr=2.2012e-05) (hash(x)=146088410)
173
+ 5700 val loss 6.1093
174
+ 5700 val perplexity 450.0076
175
+ 5700 train 6.208935 (lr=2.1824e-05) (hash(x)=151193083)
176
+ 5800 val loss 6.1069
177
+ 5800 val perplexity 448.9385
178
+ 5800 train 5.874054 (lr=2.1634e-05) (hash(x)=137474865)
179
+ 5900 val loss 6.1001
180
+ 5900 val perplexity 445.8835
181
+ 5900 train 6.055240 (lr=2.1442e-05) (hash(x)=142426763)
182
+ 6000 val loss 6.0811
183
+ 6000 val perplexity 437.4889
184
+ 6000 train 5.857759 (lr=2.1248e-05) (hash(x)=140492670)
185
+ 6100 val loss 6.0714
186
+ 6100 val perplexity 433.2983
187
+ 6100 train 6.124075 (lr=2.1051e-05) (hash(x)=175687796)
188
+ 6200 val loss 6.0590
189
+ 6200 val perplexity 427.9432
190
+ 6200 train 6.118114 (lr=2.0853e-05) (hash(x)=165841139)
191
+ 6300 val loss 6.0567
192
+ 6300 val perplexity 426.9795
193
+ 6300 train 6.115201 (lr=2.0653e-05) (hash(x)=145328367)
194
+ 6400 val loss 6.0493
195
+ 6400 val perplexity 423.8109
196
+ 6400 train 6.031622 (lr=2.0451e-05) (hash(x)=148213323)
197
+ 6500 val loss 6.0401
198
+ 6500 val perplexity 419.9319
199
+ 6500 train 6.118472 (lr=2.0247e-05) (hash(x)=153344426)
200
+ 6600 val loss 6.0300
201
+ 6600 val perplexity 415.6957
202
+ 6600 train 5.994032 (lr=2.0042e-05) (hash(x)=145840902)
203
+ 6700 val loss 6.0241
204
+ 6700 val perplexity 413.2854
205
+ 6700 train 5.859246 (lr=1.9835e-05) (hash(x)=142812723)
206
+ 6800 val loss 6.0207
207
+ 6800 val perplexity 411.8464
208
+ 6800 train 5.871941 (lr=1.9626e-05) (hash(x)=147420964)
209
+ 6900 val loss 6.0126
210
+ 6900 val perplexity 408.5406
211
+ 6900 train 6.048647 (lr=1.9416e-05) (hash(x)=152637292)
212
+ 7000 val loss 5.9985
213
+ 7000 val perplexity 402.8377
214
+ 7000 train 5.998055 (lr=1.9205e-05) (hash(x)=144728159)
215
+ 7100 val loss 5.9918
216
+ 7100 val perplexity 400.1288
217
+ 7100 train 5.970032 (lr=1.8992e-05) (hash(x)=143450899)
218
+ 7200 val loss 5.9851
219
+ 7200 val perplexity 397.4711
220
+ 7200 train 6.062338 (lr=1.8778e-05) (hash(x)=156229897)
221
+ 7300 val loss 5.9752
222
+ 7300 val perplexity 393.5414
223
+ 7300 train 5.851420 (lr=1.8562e-05) (hash(x)=147447250)
224
+ 7400 val loss 5.9735
225
+ 7400 val perplexity 392.8828
226
+ 7400 train 5.719054 (lr=1.8346e-05) (hash(x)=134836112)
227
+ 7500 val loss 5.9673
228
+ 7500 val perplexity 390.4349
229
+ 7500 train 5.984108 (lr=1.8128e-05) (hash(x)=155027499)
230
+ 7600 val loss 5.9543
231
+ 7600 val perplexity 385.4088
232
+ 7600 train 5.836184 (lr=1.7910e-05) (hash(x)=145744849)
233
+ 7700 val loss 5.9471
234
+ 7700 val perplexity 382.6545
235
+ 7700 train 6.069691 (lr=1.7691e-05) (hash(x)=158082973)
236
+ 7800 val loss 5.9424
237
+ 7800 val perplexity 380.8348
238
+ 7800 train 6.085922 (lr=1.7470e-05) (hash(x)=161538768)
239
+ 7900 val loss 5.9355
240
+ 7900 val perplexity 378.2190
241
+ 7900 train 6.022353 (lr=1.7249e-05) (hash(x)=152103064)
242
+ 8000 val loss 5.9309
243
+ 8000 val perplexity 376.4809
244
+ 8000 train 5.922405 (lr=1.7028e-05) (hash(x)=152409525)
245
+ 8100 val loss 5.9252
246
+ 8100 val perplexity 374.3618
247
+ 8100 train 5.901627 (lr=1.6805e-05) (hash(x)=150986182)
248
+ 8200 val loss 5.9149
249
+ 8200 val perplexity 370.5020
250
+ 8200 train 5.915799 (lr=1.6582e-05) (hash(x)=159555650)
251
+ 8300 val loss 5.9143
252
+ 8300 val perplexity 370.2775
253
+ 8300 train 6.075478 (lr=1.6359e-05) (hash(x)=139602404)
254
+ 8400 val loss 5.9034
255
+ 8400 val perplexity 366.2789
256
+ 8400 train 5.806713 (lr=1.6135e-05) (hash(x)=154432574)
257
+ 8500 val loss 5.9003
258
+ 8500 val perplexity 365.1458
259
+ 8500 train 5.838498 (lr=1.5911e-05) (hash(x)=142554189)
260
+ 8600 val loss 5.8915
261
+ 8600 val perplexity 361.9395
262
+ 8600 train 5.847685 (lr=1.5687e-05) (hash(x)=151300791)
263
+ 8700 val loss 5.8910
264
+ 8700 val perplexity 361.7609
265
+ 8700 train 5.889757 (lr=1.5462e-05) (hash(x)=148488790)
266
+ 8800 val loss 5.8901
267
+ 8800 val perplexity 361.4528
268
+ 8800 train 5.920544 (lr=1.5237e-05) (hash(x)=156797847)
269
+ 8900 val loss 5.8716
270
+ 8900 val perplexity 354.8312
271
+ 8900 train 5.692921 (lr=1.5013e-05) (hash(x)=143919631)
272
+ 9000 val loss 5.8665
273
+ 9000 val perplexity 353.0020
274
+ 9000 train 5.809354 (lr=1.4788e-05) (hash(x)=148706835)
275
+ 9100 val loss 5.8626
276
+ 9100 val perplexity 351.6457
277
+ 9100 train 5.880012 (lr=1.4563e-05) (hash(x)=153074259)
278
+ 9200 val loss 5.8609
279
+ 9200 val perplexity 351.0305
280
+ 9200 train 5.780761 (lr=1.4339e-05) (hash(x)=151127077)
281
+ 9300 val loss 5.8544
282
+ 9300 val perplexity 348.7678
283
+ 9300 train 5.742571 (lr=1.4115e-05) (hash(x)=152170602)
284
+ 9400 val loss 5.8577
285
+ 9400 val perplexity 349.9013
286
+ 9400 train 5.886698 (lr=1.3891e-05) (hash(x)=153874803)
287
+ 9500 val loss 5.8415
288
+ 9500 val perplexity 344.3054
289
+ 9500 train 5.841818 (lr=1.3668e-05) (hash(x)=157021298)
290
+ 9600 val loss 5.8346
291
+ 9600 val perplexity 341.9441
292
+ 9600 train 5.670546 (lr=1.3445e-05) (hash(x)=135620494)
293
+ 9700 val loss 5.8284
294
+ 9700 val perplexity 339.8303
295
+ 9700 train 5.548424 (lr=1.3222e-05) (hash(x)=142434463)
296
+ 9800 val loss 5.8263
297
+ 9800 val perplexity 339.0972
298
+ 9800 train 5.697370 (lr=1.3001e-05) (hash(x)=149075541)
299
+ 9900 val loss 5.8264
300
+ 9900 val perplexity 339.1302
301
+ 9900 train 5.688569 (lr=1.2780e-05) (hash(x)=141901425)
302
+ 10000 val loss 5.8338
303
+ 10000 val perplexity 341.6535
304
+ 10000 train 5.820505 (lr=1.2559e-05) (hash(x)=133062699)
305
+ 10100 val loss 5.8101
306
+ 10100 val perplexity 333.6625
307
+ 10100 train 5.833993 (lr=1.2340e-05) (hash(x)=157339196)
308
+ 10200 val loss 5.8064
309
+ 10200 val perplexity 332.4037
310
+ 10200 train 5.571857 (lr=1.2122e-05) (hash(x)=131082121)
311
+ 10300 val loss 5.8059
312
+ 10300 val perplexity 332.2427
313
+ 10300 train 5.913075 (lr=1.1904e-05) (hash(x)=144553757)
314
+ 10400 val loss 5.8009
315
+ 10400 val perplexity 330.5823
316
+ 10400 train 5.585112 (lr=1.1688e-05) (hash(x)=143398861)
317
+ 10500 val loss 5.7959
318
+ 10500 val perplexity 328.9387
319
+ 10500 train 5.796885 (lr=1.1472e-05) (hash(x)=157633809)
320
+ 10600 val loss 5.7918
321
+ 10600 val perplexity 327.5862
322
+ 10600 train 5.786325 (lr=1.1258e-05) (hash(x)=147294315)
323
+ 10700 val loss 5.7860
324
+ 10700 val perplexity 325.7187
325
+ 10700 train 5.903571 (lr=1.1045e-05) (hash(x)=157735028)
326
+ 10800 val loss 5.7797
327
+ 10800 val perplexity 323.6758
328
+ 10800 train 5.753756 (lr=1.0834e-05) (hash(x)=149846113)
329
+ 10900 val loss 5.7776
330
+ 10900 val perplexity 322.9672
331
+ 10900 train 6.161453 (lr=1.0624e-05) (hash(x)=157353556)
332
+ 11000 val loss 5.7745
333
+ 11000 val perplexity 321.9692
334
+ 11000 train 6.082330 (lr=1.0415e-05) (hash(x)=160672627)
335
+ 11100 val loss 5.7731
336
+ 11100 val perplexity 321.5306
337
+ 11100 train 5.989040 (lr=1.0208e-05) (hash(x)=166692335)
338
+ 11200 val loss 5.7668
339
+ 11200 val perplexity 319.5080
340
+ 11200 train 5.832046 (lr=1.0003e-05) (hash(x)=158899869)
341
+ 11300 val loss 5.7629
342
+ 11300 val perplexity 318.2563
343
+ 11300 train 6.037097 (lr=9.7991e-06) (hash(x)=166306828)
344
+ 11400 val loss 5.7590
345
+ 11400 val perplexity 317.0400
346
+ 11400 train 5.684483 (lr=9.5972e-06) (hash(x)=149545840)
347
+ 11500 val loss 5.7563
348
+ 11500 val perplexity 316.1670
349
+ 11500 train 5.717210 (lr=9.3970e-06) (hash(x)=139076910)
350
+ 11600 val loss 5.7556
351
+ 11600 val perplexity 315.9428
352
+ 11600 train 5.592481 (lr=9.1988e-06) (hash(x)=151871279)
353
+ 11700 val loss 5.7502
354
+ 11700 val perplexity 314.2507
355
+ 11700 train 5.701617 (lr=9.0025e-06) (hash(x)=152940196)
356
+ 11800 val loss 5.7463
357
+ 11800 val perplexity 313.0347
358
+ 11800 train 5.841432 (lr=8.8082e-06) (hash(x)=150754129)
359
+ 11900 val loss 5.7409
360
+ 11900 val perplexity 311.3459
361
+ 11900 train 5.693922 (lr=8.6160e-06) (hash(x)=148982597)
362
+ 12000 val loss 5.7375
363
+ 12000 val perplexity 310.2827
364
+ 12000 train 5.785539 (lr=8.4260e-06) (hash(x)=167798390)
365
+ 12100 val loss 5.7374
366
+ 12100 val perplexity 310.2486
367
+ 12100 train 5.814971 (lr=8.2381e-06) (hash(x)=146590810)
368
+ 12200 val loss 5.7332
369
+ 12200 val perplexity 308.9699
370
+ 12200 train 5.955645 (lr=8.0526e-06) (hash(x)=159875780)
371
+ 12300 val loss 5.7323
372
+ 12300 val perplexity 308.6674
373
+ 12300 train 5.598570 (lr=7.8694e-06) (hash(x)=135887861)
374
+ 12400 val loss 5.7253
375
+ 12400 val perplexity 306.5309
376
+ 12400 train 5.788835 (lr=7.6885e-06) (hash(x)=150484221)
377
+ 12500 val loss 5.7232
378
+ 12500 val perplexity 305.8960
379
+ 12500 train 5.725519 (lr=7.5101e-06) (hash(x)=157629455)
380
+ 12600 val loss 5.7213
381
+ 12600 val perplexity 305.2950
382
+ 12600 train 5.622010 (lr=7.3342e-06) (hash(x)=147308692)
383
+ 12700 val loss 5.7191
384
+ 12700 val perplexity 304.6430
385
+ 12700 train 5.546633 (lr=7.1609e-06) (hash(x)=144614722)
386
+ 12800 val loss 5.7169
387
+ 12800 val perplexity 303.9511
388
+ 12800 train 5.504568 (lr=6.9903e-06) (hash(x)=137633606)
389
+ 12900 val loss 5.7146
390
+ 12900 val perplexity 303.2545
391
+ 12900 train 5.764203 (lr=6.8223e-06) (hash(x)=155534772)
392
+ 13000 val loss 5.7114
393
+ 13000 val perplexity 302.2941
394
+ 13000 train 5.725755 (lr=6.6570e-06) (hash(x)=148501470)
395
+ 13100 val loss 5.7125
396
+ 13100 val perplexity 302.6251
397
+ 13100 train 5.766671 (lr=6.4945e-06) (hash(x)=154570618)
398
+ 13200 val loss 5.7081
399
+ 13200 val perplexity 301.2928
400
+ 13200 train 5.795885 (lr=6.3349e-06) (hash(x)=154153766)
401
+ 13300 val loss 5.7029
402
+ 13300 val perplexity 299.7345
403
+ 13300 train 5.507311 (lr=6.1782e-06) (hash(x)=162760888)
404
+ 13400 val loss 5.6978
405
+ 13400 val perplexity 298.2054
406
+ 13400 train 5.517842 (lr=6.0244e-06) (hash(x)=143223528)
407
+ 13500 val loss 5.7078
408
+ 13500 val perplexity 301.2006
409
+ 13500 train 5.861772 (lr=5.8737e-06) (hash(x)=156416986)
410
+ 13600 val loss 5.7016
411
+ 13600 val perplexity 299.3389
412
+ 13600 train 5.705806 (lr=5.7259e-06) (hash(x)=147521418)
413
+ 13700 val loss 5.6990
414
+ 13700 val perplexity 298.5662
415
+ 13700 train 5.670971 (lr=5.5813e-06) (hash(x)=151127796)
416
+ 13800 val loss 5.6952
417
+ 13800 val perplexity 297.4228
418
+ 13800 train 5.760058 (lr=5.4398e-06) (hash(x)=156863042)
419
+ 13900 val loss 5.6903
420
+ 13900 val perplexity 295.9677
421
+ 13900 train 5.699788 (lr=5.3016e-06) (hash(x)=170986545)
422
+ 14000 val loss 5.6885
423
+ 14000 val perplexity 295.4523
424
+ 14000 train 6.144848 (lr=5.1665e-06) (hash(x)=170744741)
425
+ 14100 val loss 5.6871
426
+ 14100 val perplexity 295.0318
427
+ 14100 train 6.071437 (lr=5.0348e-06) (hash(x)=142328767)
428
+ 14200 val loss 5.6863
429
+ 14200 val perplexity 294.8148
430
+ 14200 train 5.837702 (lr=4.9063e-06) (hash(x)=156141076)
431
+ 14300 val loss 5.6881
432
+ 14300 val perplexity 295.3267
433
+ 14300 train 5.668438 (lr=4.7813e-06) (hash(x)=155447298)
434
+ 14400 val loss 5.6830
435
+ 14400 val perplexity 293.8330
436
+ 14400 train 5.615399 (lr=4.6596e-06) (hash(x)=151991844)
437
+ 14500 val loss 5.6793
438
+ 14500 val perplexity 292.7360
439
+ 14500 train 5.656106 (lr=4.5414e-06) (hash(x)=149773009)
440
+ 14600 val loss 5.6784
441
+ 14600 val perplexity 292.4751
442
+ 14600 train 5.640116 (lr=4.4267e-06) (hash(x)=153836753)
443
+ 14700 val loss 5.6766
444
+ 14700 val perplexity 291.9657
445
+ 14700 train 5.808646 (lr=4.3155e-06) (hash(x)=155466746)
446
+ 14800 val loss 5.6759
447
+ 14800 val perplexity 291.7383
448
+ 14800 train 5.606918 (lr=4.2079e-06) (hash(x)=150110933)
449
+ 14900 val loss 5.6754
450
+ 14900 val perplexity 291.6024
451
+ 14900 train 5.555743 (lr=4.1039e-06) (hash(x)=144558528)
452
+ 15000 val loss 5.6741
453
+ 15000 val perplexity 291.2312
454
+ 15000 train 5.615892 (lr=4.0035e-06) (hash(x)=148315702)
455
+ 15100 val loss 5.6716
456
+ 15100 val perplexity 290.4921
457
+ 15100 train 5.519606 (lr=3.9068e-06) (hash(x)=148452301)
458
+ 15200 val loss 5.6703
459
+ 15200 val perplexity 290.1318
460
+ 15200 train 5.936488 (lr=3.8138e-06) (hash(x)=162181769)
461
+ 15300 val loss 5.6680
462
+ 15300 val perplexity 289.4616
463
+ 15300 train 5.591907 (lr=3.7245e-06) (hash(x)=147256707)
464
+ 15400 val loss 5.6674
465
+ 15400 val perplexity 289.2752
466
+ 15400 train 5.773603 (lr=3.6390e-06) (hash(x)=154947797)
467
+ 15500 val loss 5.6676
468
+ 15500 val perplexity 289.3505
469
+ 15500 train 5.701763 (lr=3.5572e-06) (hash(x)=164200136)
470
+ 15600 val loss 5.6665
471
+ 15600 val perplexity 289.0282
472
+ 15600 train 5.530336 (lr=3.4793e-06) (hash(x)=145086131)
473
+ 15700 val loss 5.6619
474
+ 15700 val perplexity 287.6931
475
+ 15700 train 5.599439 (lr=3.4052e-06) (hash(x)=152070006)
476
+ 15800 val loss 5.6600
477
+ 15800 val perplexity 287.1624
478
+ 15800 train 5.691990 (lr=3.3350e-06) (hash(x)=150969760)
479
+ 15900 val loss 5.6599
480
+ 15900 val perplexity 287.1279
481
+ 15900 train 5.675531 (lr=3.2687e-06) (hash(x)=149495681)
482
+ 16000 val loss 5.6592
483
+ 16000 val perplexity 286.9078
484
+ 16000 train 5.776269 (lr=3.2063e-06) (hash(x)=159383533)
485
+ 16100 val loss 5.6590
486
+ 16100 val perplexity 286.8650
487
+ 16100 train 5.536775 (lr=3.1478e-06) (hash(x)=154365611)
488
+ 16200 val loss 5.6574
489
+ 16200 val perplexity 286.3906
490
+ 16200 train 5.814682 (lr=3.0932e-06) (hash(x)=154284815)
491
+ 16300 val loss 5.6560
492
+ 16300 val perplexity 285.9916
493
+ 16300 train 5.646346 (lr=3.0427e-06) (hash(x)=148416573)
494
+ 16400 val loss 5.6538
495
+ 16400 val perplexity 285.3792
496
+ 16400 train 5.601115 (lr=2.9961e-06) (hash(x)=150447087)
497
+ 16500 val loss 5.6548
498
+ 16500 val perplexity 285.6452
499
+ 16500 train 5.654249 (lr=2.9535e-06) (hash(x)=156112678)
500
+ 16600 val loss 5.6535
501
+ 16600 val perplexity 285.2897
502
+ 16600 train 5.593806 (lr=2.9149e-06) (hash(x)=150449728)
503
+ 16700 val loss 5.6516
504
+ 16700 val perplexity 284.7344
505
+ 16700 train 5.700657 (lr=2.8804e-06) (hash(x)=153905935)
506
+ 16800 val loss 5.6488
507
+ 16800 val perplexity 283.9559
508
+ 16800 train 5.618400 (lr=2.8498e-06) (hash(x)=144086573)
509
+ 16900 val loss 5.6486
510
+ 16900 val perplexity 283.8948
511
+ 16900 train 5.623926 (lr=2.8234e-06) (hash(x)=145863379)
512
+ 17000 val loss 5.6493
513
+ 17000 val perplexity 284.0968
514
+ 17000 train 5.710599 (lr=2.8010e-06) (hash(x)=149054226)
515
+ 17100 val loss 5.6496
516
+ 17100 val perplexity 284.1652
517
+ 17100 train 5.552036 (lr=2.7826e-06) (hash(x)=147109203)
518
+ 17200 val loss 5.6471
519
+ 17200 val perplexity 283.4821
520
+ 17200 train 5.577302 (lr=2.7684e-06) (hash(x)=141837353)
521
+ 17300 val loss 5.6452
522
+ 17300 val perplexity 282.9228
523
+ 17300 train 5.661463 (lr=2.7582e-06) (hash(x)=148542064)
524
+ 17400 val loss 5.6441
525
+ 17400 val perplexity 282.6097
526
+ 17400 train 5.476974 (lr=2.7520e-06) (hash(x)=140939390)
527
+ 17499 val loss 5.6431
528
+ 17499 val perplexity 282.3316
attention_kindselective_n_heads4_seed1345/model_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7465d118f10208aa44d9be65c8c05e7770abd7b6f628f9af7961a0958fb2d5bb
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2964e72b9a54bb16b5e4eab3940de6180acd56c99e01e75b15848caa982f5d70
3
  size 92843394
attention_kindselective_n_heads4_seed1345/optimizer_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:28b671bf6a03e491a6abea866c6d5275e23c192b9e2bca279386cb1e389e045b
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:054fb86838c777b8e6d0b754d499e3086800dcd1de63e4ffe30efec55ad6f8fc
3
  size 179406214