andrew-healey commited on
Commit
1732c63
·
verified ·
1 Parent(s): 6c7f8aa

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1340/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1340", "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": 1340, "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_1340", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1340", "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": 1340, "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": 3.5e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3.5e-5_30720_4_1340", "n_embd": 256}
attention_kindselective_n_heads4_seed1340/log2.txt CHANGED
@@ -1,528 +1,528 @@
1
  max_steps: 17500
2
  0 val loss 11.2714
3
- 0 val perplexity 78546.7344
4
- 0 train 11.276529 (lr=1.6250e-07) (hash(x)=164406924)
5
- 100 val loss 9.9427
6
- 100 val perplexity 20799.7773
7
- 100 train 9.986905 (lr=1.6412e-05) (hash(x)=177407419)
8
- 200 val loss 9.0545
9
- 200 val perplexity 8556.6611
10
- 200 train 9.022396 (lr=3.2500e-05) (hash(x)=144903932)
11
- 300 val loss 7.9905
12
- 300 val perplexity 2952.6941
13
- 300 train 8.233212 (lr=3.2498e-05) (hash(x)=173839165)
14
- 400 val loss 7.7050
15
- 400 val perplexity 2219.5210
16
- 400 train 7.775531 (lr=3.2490e-05) (hash(x)=167734596)
17
- 500 val loss 7.5884
18
- 500 val perplexity 1975.1251
19
- 500 train 7.603640 (lr=3.2478e-05) (hash(x)=153224076)
20
- 600 val loss 7.5186
21
- 600 val perplexity 1842.0447
22
- 600 train 7.431871 (lr=3.2461e-05) (hash(x)=149619098)
23
- 700 val loss 7.4777
24
- 700 val perplexity 1768.2009
25
- 700 train 7.410966 (lr=3.2440e-05) (hash(x)=146539909)
26
- 800 val loss 7.4248
27
- 800 val perplexity 1677.1040
28
- 800 train 7.388150 (lr=3.2413e-05) (hash(x)=153710890)
29
- 900 val loss 7.3854
30
- 900 val perplexity 1612.2769
31
- 900 train 7.327601 (lr=3.2382e-05) (hash(x)=155873620)
32
- 1000 val loss 7.3567
33
- 1000 val perplexity 1566.6251
34
- 1000 train 7.275003 (lr=3.2346e-05) (hash(x)=145450636)
35
- 1100 val loss 7.3128
36
- 1100 val perplexity 1499.4359
37
- 1100 train 7.385886 (lr=3.2305e-05) (hash(x)=154123388)
38
- 1200 val loss 7.2874
39
- 1200 val perplexity 1461.7990
40
- 1200 train 7.163799 (lr=3.2260e-05) (hash(x)=145249251)
41
- 1300 val loss 7.2463
42
- 1300 val perplexity 1402.8694
43
- 1300 train 7.144474 (lr=3.2209e-05) (hash(x)=148937127)
44
- 1400 val loss 7.1995
45
- 1400 val perplexity 1338.7473
46
- 1400 train 7.317604 (lr=3.2154e-05) (hash(x)=150475545)
47
- 1500 val loss 7.1654
48
- 1500 val perplexity 1293.8778
49
- 1500 train 7.090920 (lr=3.2094e-05) (hash(x)=154653428)
50
- 1600 val loss 7.1204
51
- 1600 val perplexity 1236.9946
52
- 1600 train 7.097936 (lr=3.2030e-05) (hash(x)=144483776)
53
- 1700 val loss 7.0663
54
- 1700 val perplexity 1171.8545
55
- 1700 train 7.221328 (lr=3.1961e-05) (hash(x)=157395496)
56
- 1800 val loss 7.0269
57
- 1800 val perplexity 1126.5381
58
- 1800 train 7.044158 (lr=3.1887e-05) (hash(x)=157916369)
59
- 1900 val loss 6.9853
60
- 1900 val perplexity 1080.6533
61
- 1900 train 7.202100 (lr=3.1809e-05) (hash(x)=166073923)
62
- 2000 val loss 6.9577
63
- 2000 val perplexity 1051.2118
64
- 2000 train 7.038825 (lr=3.1726e-05) (hash(x)=154856891)
65
- 2100 val loss 6.9203
66
- 2100 val perplexity 1012.6016
67
- 2100 train 6.912439 (lr=3.1638e-05) (hash(x)=151925203)
68
- 2200 val loss 6.8823
69
- 2200 val perplexity 974.8445
70
- 2200 train 6.584104 (lr=3.1546e-05) (hash(x)=136191502)
71
- 2300 val loss 6.8423
72
- 2300 val perplexity 936.6110
73
- 2300 train 7.000276 (lr=3.1449e-05) (hash(x)=153273362)
74
- 2400 val loss 6.8023
75
- 2400 val perplexity 899.9409
76
- 2400 train 6.751945 (lr=3.1348e-05) (hash(x)=148021541)
77
- 2500 val loss 6.7656
78
- 2500 val perplexity 867.4752
79
- 2500 train 6.709182 (lr=3.1243e-05) (hash(x)=141356608)
80
- 2600 val loss 6.7277
81
- 2600 val perplexity 835.2031
82
- 2600 train 6.673390 (lr=3.1133e-05) (hash(x)=146005217)
83
- 2700 val loss 6.6951
84
- 2700 val perplexity 808.4293
85
- 2700 train 6.534774 (lr=3.1019e-05) (hash(x)=144511718)
86
- 2800 val loss 6.6608
87
- 2800 val perplexity 781.1756
88
- 2800 train 6.540296 (lr=3.0900e-05) (hash(x)=146019502)
89
- 2900 val loss 6.6303
90
- 2900 val perplexity 757.6885
91
- 2900 train 6.544481 (lr=3.0777e-05) (hash(x)=146496200)
92
- 3000 val loss 6.5995
93
- 3000 val perplexity 734.6974
94
- 3000 train 6.548376 (lr=3.0650e-05) (hash(x)=150127281)
95
- 3100 val loss 6.5634
96
- 3100 val perplexity 708.6861
97
- 3100 train 6.541520 (lr=3.0518e-05) (hash(x)=142022255)
98
- 3200 val loss 6.5337
99
- 3200 val perplexity 687.9238
100
- 3200 train 6.587421 (lr=3.0383e-05) (hash(x)=154120875)
101
- 3300 val loss 6.5133
102
- 3300 val perplexity 674.0387
103
- 3300 train 6.571418 (lr=3.0243e-05) (hash(x)=153999717)
104
- 3400 val loss 6.4929
105
- 3400 val perplexity 660.4374
106
- 3400 train 6.258515 (lr=3.0099e-05) (hash(x)=139694097)
107
- 3500 val loss 6.4649
108
- 3500 val perplexity 642.1870
109
- 3500 train 6.649519 (lr=2.9952e-05) (hash(x)=162992732)
110
- 3600 val loss 6.4301
111
- 3600 val perplexity 620.2365
112
- 3600 train 6.405787 (lr=2.9800e-05) (hash(x)=147574101)
113
- 3700 val loss 6.4131
114
- 3700 val perplexity 609.7664
115
- 3700 train 6.523832 (lr=2.9644e-05) (hash(x)=157763099)
116
- 3800 val loss 6.3888
117
- 3800 val perplexity 595.1349
118
- 3800 train 6.553192 (lr=2.9485e-05) (hash(x)=170800034)
119
- 3900 val loss 6.3732
120
- 3900 val perplexity 585.9507
121
- 3900 train 6.449968 (lr=2.9321e-05) (hash(x)=164984528)
122
- 4000 val loss 6.3589
123
- 4000 val perplexity 577.6016
124
- 4000 train 6.219861 (lr=2.9154e-05) (hash(x)=141743323)
125
- 4100 val loss 6.3496
126
- 4100 val perplexity 572.2399
127
- 4100 train 6.364213 (lr=2.8983e-05) (hash(x)=153392872)
128
- 4200 val loss 6.3388
129
- 4200 val perplexity 566.0950
130
- 4200 train 6.200565 (lr=2.8808e-05) (hash(x)=149074933)
131
- 4300 val loss 6.3134
132
- 4300 val perplexity 551.9182
133
- 4300 train 6.704398 (lr=2.8630e-05) (hash(x)=167823423)
134
- 4400 val loss 6.2896
135
- 4400 val perplexity 538.9551
136
- 4400 train 6.058969 (lr=2.8448e-05) (hash(x)=141203114)
137
- 4500 val loss 6.2706
138
- 4500 val perplexity 528.7738
139
- 4500 train 6.267660 (lr=2.8263e-05) (hash(x)=146284780)
140
- 4600 val loss 6.2508
141
- 4600 val perplexity 518.4062
142
- 4600 train 6.053355 (lr=2.8075e-05) (hash(x)=141126464)
143
- 4700 val loss 6.2356
144
- 4700 val perplexity 510.5971
145
- 4700 train 6.261318 (lr=2.7883e-05) (hash(x)=154751926)
146
- 4800 val loss 6.2221
147
- 4800 val perplexity 503.7436
148
- 4800 train 6.305309 (lr=2.7687e-05) (hash(x)=154793198)
149
- 4900 val loss 6.2138
150
- 4900 val perplexity 499.5989
151
- 4900 train 5.932302 (lr=2.7489e-05) (hash(x)=139406392)
152
- 5000 val loss 6.2221
153
- 5000 val perplexity 503.7762
154
- 5000 train 5.932709 (lr=2.7287e-05) (hash(x)=153548741)
155
- 5100 val loss 6.1919
156
- 5100 val perplexity 488.7556
157
- 5100 train 6.270887 (lr=2.7082e-05) (hash(x)=160488568)
158
- 5200 val loss 6.1705
159
- 5200 val perplexity 478.4274
160
- 5200 train 6.178745 (lr=2.6874e-05) (hash(x)=149645053)
161
- 5300 val loss 6.1507
162
- 5300 val perplexity 469.0544
163
- 5300 train 6.247884 (lr=2.6664e-05) (hash(x)=155820556)
164
- 5400 val loss 6.1414
165
- 5400 val perplexity 464.7147
166
- 5400 train 6.085527 (lr=2.6450e-05) (hash(x)=147538134)
167
- 5500 val loss 6.1284
168
- 5500 val perplexity 458.7081
169
- 5500 train 6.339289 (lr=2.6233e-05) (hash(x)=166889307)
170
- 5600 val loss 6.1148
171
- 5600 val perplexity 452.4975
172
- 5600 train 5.816920 (lr=2.6014e-05) (hash(x)=139516699)
173
- 5700 val loss 6.1153
174
- 5700 val perplexity 452.7293
175
- 5700 train 5.789756 (lr=2.5792e-05) (hash(x)=140453511)
176
- 5800 val loss 6.1057
177
- 5800 val perplexity 448.4195
178
- 5800 train 6.046035 (lr=2.5567e-05) (hash(x)=162964847)
179
- 5900 val loss 6.0923
180
- 5900 val perplexity 442.4182
181
- 5900 train 6.095953 (lr=2.5340e-05) (hash(x)=150606634)
182
- 6000 val loss 6.0706
183
- 6000 val perplexity 432.9581
184
- 6000 train 6.155572 (lr=2.5111e-05) (hash(x)=149890857)
185
- 6100 val loss 6.0665
186
- 6100 val perplexity 431.1557
187
- 6100 train 6.164382 (lr=2.4879e-05) (hash(x)=173884145)
188
- 6200 val loss 6.0532
189
- 6200 val perplexity 425.4883
190
- 6200 train 6.114431 (lr=2.4644e-05) (hash(x)=151987098)
191
- 6300 val loss 6.0394
192
- 6300 val perplexity 419.6264
193
- 6300 train 5.991861 (lr=2.4408e-05) (hash(x)=148853562)
194
- 6400 val loss 6.0311
195
- 6400 val perplexity 416.1762
196
- 6400 train 5.778894 (lr=2.4169e-05) (hash(x)=141530101)
197
- 6500 val loss 6.0240
198
- 6500 val perplexity 413.2226
199
- 6500 train 5.882457 (lr=2.3928e-05) (hash(x)=142297809)
200
- 6600 val loss 6.0092
201
- 6600 val perplexity 407.1544
202
- 6600 train 5.900824 (lr=2.3686e-05) (hash(x)=142447782)
203
- 6700 val loss 6.0062
204
- 6700 val perplexity 405.9474
205
- 6700 train 5.991254 (lr=2.3441e-05) (hash(x)=147004686)
206
- 6800 val loss 5.9924
207
- 6800 val perplexity 400.3843
208
- 6800 train 5.738660 (lr=2.3195e-05) (hash(x)=133438702)
209
- 6900 val loss 5.9919
210
- 6900 val perplexity 400.1860
211
- 6900 train 6.006359 (lr=2.2946e-05) (hash(x)=157085143)
212
- 7000 val loss 5.9796
213
- 7000 val perplexity 395.2977
214
- 7000 train 5.865448 (lr=2.2696e-05) (hash(x)=139437666)
215
- 7100 val loss 5.9743
216
- 7100 val perplexity 393.1910
217
- 7100 train 5.988501 (lr=2.2445e-05) (hash(x)=159792986)
218
- 7200 val loss 5.9581
219
- 7200 val perplexity 386.8573
220
- 7200 train 5.942185 (lr=2.2192e-05) (hash(x)=144930687)
221
- 7300 val loss 5.9490
222
- 7300 val perplexity 383.3533
223
- 7300 train 6.009021 (lr=2.1937e-05) (hash(x)=156242690)
224
- 7400 val loss 5.9416
225
- 7400 val perplexity 380.5278
226
- 7400 train 5.777550 (lr=2.1682e-05) (hash(x)=148183719)
227
- 7500 val loss 5.9370
228
- 7500 val perplexity 378.7969
229
- 7500 train 5.975434 (lr=2.1425e-05) (hash(x)=152494758)
230
- 7600 val loss 5.9312
231
- 7600 val perplexity 376.6238
232
- 7600 train 5.619554 (lr=2.1166e-05) (hash(x)=142485027)
233
- 7700 val loss 5.9281
234
- 7700 val perplexity 375.4567
235
- 7700 train 5.795169 (lr=2.0907e-05) (hash(x)=147512165)
236
- 7800 val loss 5.9124
237
- 7800 val perplexity 369.5941
238
- 7800 train 5.783484 (lr=2.0647e-05) (hash(x)=160346994)
239
- 7900 val loss 5.9094
240
- 7900 val perplexity 368.4920
241
- 7900 train 5.783132 (lr=2.0386e-05) (hash(x)=144488254)
242
- 8000 val loss 5.8979
243
- 8000 val perplexity 364.2743
244
- 8000 train 5.709069 (lr=2.0123e-05) (hash(x)=147637019)
245
- 8100 val loss 5.8961
246
- 8100 val perplexity 363.6187
247
- 8100 train 5.744081 (lr=1.9861e-05) (hash(x)=147340534)
248
- 8200 val loss 5.8903
249
- 8200 val perplexity 361.5074
250
- 8200 train 5.946971 (lr=1.9597e-05) (hash(x)=151630665)
251
- 8300 val loss 5.8814
252
- 8300 val perplexity 358.3273
253
- 8300 train 5.982193 (lr=1.9333e-05) (hash(x)=149747064)
254
- 8400 val loss 5.8713
255
- 8400 val perplexity 354.7009
256
- 8400 train 6.068233 (lr=1.9069e-05) (hash(x)=154245770)
257
- 8500 val loss 5.8662
258
- 8500 val perplexity 352.9071
259
- 8500 train 5.753820 (lr=1.8804e-05) (hash(x)=152559100)
260
- 8600 val loss 5.8618
261
- 8600 val perplexity 351.3425
262
- 8600 train 6.275620 (lr=1.8539e-05) (hash(x)=181365926)
263
- 8700 val loss 5.8589
264
- 8700 val perplexity 350.3235
265
- 8700 train 5.692950 (lr=1.8273e-05) (hash(x)=154405991)
266
- 8800 val loss 5.8489
267
- 8800 val perplexity 346.8562
268
- 8800 train 5.792358 (lr=1.8008e-05) (hash(x)=153755904)
269
- 8900 val loss 5.8465
270
- 8900 val perplexity 346.0291
271
- 8900 train 5.764337 (lr=1.7742e-05) (hash(x)=152120568)
272
- 9000 val loss 5.8297
273
- 9000 val perplexity 340.2657
274
- 9000 train 5.617670 (lr=1.7477e-05) (hash(x)=142797279)
275
- 9100 val loss 5.8270
276
- 9100 val perplexity 339.3379
277
- 9100 train 5.691728 (lr=1.7211e-05) (hash(x)=143037503)
278
- 9200 val loss 5.8270
279
- 9200 val perplexity 339.3499
280
- 9200 train 5.694878 (lr=1.6946e-05) (hash(x)=113690273)
281
- 9300 val loss 5.8200
282
- 9300 val perplexity 336.9655
283
- 9300 train 5.757028 (lr=1.6681e-05) (hash(x)=158025077)
284
- 9400 val loss 5.8099
285
- 9400 val perplexity 333.5787
286
- 9400 train 5.883915 (lr=1.6417e-05) (hash(x)=158251718)
287
- 9500 val loss 5.8112
288
- 9500 val perplexity 334.0197
289
- 9500 train 5.848474 (lr=1.6153e-05) (hash(x)=154752610)
290
- 9600 val loss 5.8045
291
- 9600 val perplexity 331.7947
292
- 9600 train 5.681903 (lr=1.5889e-05) (hash(x)=146889093)
293
- 9700 val loss 5.7924
294
- 9700 val perplexity 327.8095
295
- 9700 train 5.801524 (lr=1.5627e-05) (hash(x)=156906516)
296
- 9800 val loss 5.7899
297
- 9800 val perplexity 326.9742
298
- 9800 train 5.621650 (lr=1.5364e-05) (hash(x)=153841927)
299
- 9900 val loss 5.7852
300
- 9900 val perplexity 325.4485
301
- 9900 train 5.999937 (lr=1.5103e-05) (hash(x)=163514334)
302
- 10000 val loss 5.7790
303
- 10000 val perplexity 323.4331
304
- 10000 train 5.769652 (lr=1.4843e-05) (hash(x)=144745561)
305
- 10100 val loss 5.7745
306
- 10100 val perplexity 321.9720
307
- 10100 train 6.025921 (lr=1.4584e-05) (hash(x)=161651149)
308
- 10200 val loss 5.7679
309
- 10200 val perplexity 319.8694
310
- 10200 train 5.710236 (lr=1.4325e-05) (hash(x)=143667037)
311
- 10300 val loss 5.7619
312
- 10300 val perplexity 317.9444
313
- 10300 train 5.654992 (lr=1.4068e-05) (hash(x)=151687262)
314
- 10400 val loss 5.7627
315
- 10400 val perplexity 318.2142
316
- 10400 train 5.627633 (lr=1.3813e-05) (hash(x)=153694955)
317
- 10500 val loss 5.7588
318
- 10500 val perplexity 316.9752
319
- 10500 train 5.704593 (lr=1.3558e-05) (hash(x)=150218029)
320
- 10600 val loss 5.7528
321
- 10600 val perplexity 315.0698
322
- 10600 train 5.851352 (lr=1.3305e-05) (hash(x)=155093716)
323
- 10700 val loss 5.7477
324
- 10700 val perplexity 313.4625
325
- 10700 train 5.787298 (lr=1.3054e-05) (hash(x)=151631831)
326
- 10800 val loss 5.7389
327
- 10800 val perplexity 310.7081
328
- 10800 train 5.586615 (lr=1.2804e-05) (hash(x)=136465175)
329
- 10900 val loss 5.7369
330
- 10900 val perplexity 310.0930
331
- 10900 train 5.669595 (lr=1.2555e-05) (hash(x)=154461514)
332
- 11000 val loss 5.7358
333
- 11000 val perplexity 309.7675
334
- 11000 train 5.728212 (lr=1.2309e-05) (hash(x)=141877432)
335
- 11100 val loss 5.7325
336
- 11100 val perplexity 308.7520
337
- 11100 train 5.526520 (lr=1.2064e-05) (hash(x)=139572894)
338
- 11200 val loss 5.7246
339
- 11200 val perplexity 306.2994
340
- 11200 train 5.771356 (lr=1.1822e-05) (hash(x)=155591443)
341
- 11300 val loss 5.7183
342
- 11300 val perplexity 304.3907
343
- 11300 train 5.733082 (lr=1.1581e-05) (hash(x)=153349136)
344
- 11400 val loss 5.7172
345
- 11400 val perplexity 304.0620
346
- 11400 train 5.671595 (lr=1.1342e-05) (hash(x)=148109395)
347
- 11500 val loss 5.7130
348
- 11500 val perplexity 302.7882
349
- 11500 train 5.702454 (lr=1.1106e-05) (hash(x)=153276620)
350
- 11600 val loss 5.7125
351
- 11600 val perplexity 302.6309
352
- 11600 train 5.571287 (lr=1.0871e-05) (hash(x)=151416388)
353
- 11700 val loss 5.7101
354
- 11700 val perplexity 301.9037
355
- 11700 train 5.582951 (lr=1.0639e-05) (hash(x)=143420927)
356
- 11800 val loss 5.7050
357
- 11800 val perplexity 300.3752
358
- 11800 train 5.772466 (lr=1.0410e-05) (hash(x)=165023996)
359
- 11900 val loss 5.6986
360
- 11900 val perplexity 298.4425
361
- 11900 train 5.614121 (lr=1.0183e-05) (hash(x)=144465076)
362
- 12000 val loss 5.6963
363
- 12000 val perplexity 297.7500
364
- 12000 train 5.707811 (lr=9.9580e-06) (hash(x)=155991892)
365
- 12100 val loss 5.6944
366
- 12100 val perplexity 297.1982
367
- 12100 train 5.728391 (lr=9.7360e-06) (hash(x)=150748844)
368
- 12200 val loss 5.6913
369
- 12200 val perplexity 296.2873
370
- 12200 train 5.653107 (lr=9.5167e-06) (hash(x)=149712638)
371
- 12300 val loss 5.6921
372
- 12300 val perplexity 296.5135
373
- 12300 train 5.510970 (lr=9.3001e-06) (hash(x)=140428230)
374
- 12400 val loss 5.6856
375
- 12400 val perplexity 294.6078
376
- 12400 train 5.866589 (lr=9.0864e-06) (hash(x)=163614308)
377
- 12500 val loss 5.6804
378
- 12500 val perplexity 293.0593
379
- 12500 train 5.644887 (lr=8.8756e-06) (hash(x)=153366153)
380
- 12600 val loss 5.6785
381
- 12600 val perplexity 292.5041
382
- 12600 train 5.570187 (lr=8.6677e-06) (hash(x)=146832066)
383
- 12700 val loss 5.6759
384
- 12700 val perplexity 291.7508
385
- 12700 train 5.852587 (lr=8.4629e-06) (hash(x)=154387414)
386
- 12800 val loss 5.6739
387
- 12800 val perplexity 291.1724
388
- 12800 train 5.470691 (lr=8.2612e-06) (hash(x)=139465199)
389
- 12900 val loss 5.6761
390
- 12900 val perplexity 291.7956
391
- 12900 train 5.386293 (lr=8.0627e-06) (hash(x)=143326374)
392
- 13000 val loss 5.6690
393
- 13000 val perplexity 289.7305
394
- 13000 train 5.826969 (lr=7.8674e-06) (hash(x)=158817835)
395
- 13100 val loss 5.6663
396
- 13100 val perplexity 288.9554
397
- 13100 train 5.546062 (lr=7.6754e-06) (hash(x)=142027874)
398
- 13200 val loss 5.6657
399
- 13200 val perplexity 288.7859
400
- 13200 train 5.648112 (lr=7.4867e-06) (hash(x)=148497730)
401
- 13300 val loss 5.6641
402
- 13300 val perplexity 288.3189
403
- 13300 train 5.566710 (lr=7.3015e-06) (hash(x)=148094633)
404
- 13400 val loss 5.6629
405
- 13400 val perplexity 287.9900
406
- 13400 train 5.538298 (lr=7.1198e-06) (hash(x)=150548214)
407
- 13500 val loss 5.6550
408
- 13500 val perplexity 285.7133
409
- 13500 train 5.763052 (lr=6.9416e-06) (hash(x)=152789725)
410
- 13600 val loss 5.6540
411
- 13600 val perplexity 285.4225
412
- 13600 train 5.692722 (lr=6.7670e-06) (hash(x)=153220230)
413
- 13700 val loss 5.6499
414
- 13700 val perplexity 284.2614
415
- 13700 train 5.663307 (lr=6.5961e-06) (hash(x)=147805699)
416
- 13800 val loss 5.6506
417
- 13800 val perplexity 284.4547
418
- 13800 train 5.465456 (lr=6.4289e-06) (hash(x)=146267341)
419
- 13900 val loss 5.6502
420
- 13900 val perplexity 284.3566
421
- 13900 train 5.469760 (lr=6.2655e-06) (hash(x)=139467501)
422
- 14000 val loss 5.6485
423
- 14000 val perplexity 283.8530
424
- 14000 train 5.660518 (lr=6.1059e-06) (hash(x)=152185436)
425
- 14100 val loss 5.6417
426
- 14100 val perplexity 281.9511
427
- 14100 train 5.761265 (lr=5.9502e-06) (hash(x)=176479139)
428
- 14200 val loss 5.6392
429
- 14200 val perplexity 281.2393
430
- 14200 train 5.739030 (lr=5.7984e-06) (hash(x)=151052040)
431
- 14300 val loss 5.6375
432
- 14300 val perplexity 280.7668
433
- 14300 train 5.578081 (lr=5.6506e-06) (hash(x)=149668097)
434
- 14400 val loss 5.6364
435
- 14400 val perplexity 280.4461
436
- 14400 train 5.648204 (lr=5.5068e-06) (hash(x)=151761941)
437
- 14500 val loss 5.6360
438
- 14500 val perplexity 280.3417
439
- 14500 train 5.591083 (lr=5.3671e-06) (hash(x)=149412009)
440
- 14600 val loss 5.6344
441
- 14600 val perplexity 279.9049
442
- 14600 train 5.499872 (lr=5.2316e-06) (hash(x)=145048020)
443
- 14700 val loss 5.6318
444
- 14700 val perplexity 279.1771
445
- 14700 train 5.587432 (lr=5.1002e-06) (hash(x)=141771666)
446
- 14800 val loss 5.6281
447
- 14800 val perplexity 278.1451
448
- 14800 train 5.560456 (lr=4.9730e-06) (hash(x)=148759740)
449
- 14900 val loss 5.6269
450
- 14900 val perplexity 277.7952
451
- 14900 train 5.551805 (lr=4.8501e-06) (hash(x)=146287032)
452
- 15000 val loss 5.6254
453
- 15000 val perplexity 277.3827
454
- 15000 train 5.572130 (lr=4.7314e-06) (hash(x)=143519156)
455
- 15100 val loss 5.6268
456
- 15100 val perplexity 277.7812
457
- 15100 train 5.608938 (lr=4.6171e-06) (hash(x)=151330688)
458
- 15200 val loss 5.6293
459
- 15200 val perplexity 278.4634
460
- 15200 train 5.424197 (lr=4.5072e-06) (hash(x)=140380090)
461
- 15300 val loss 5.6243
462
- 15300 val perplexity 277.0752
463
- 15300 train 5.524822 (lr=4.4017e-06) (hash(x)=152598160)
464
- 15400 val loss 5.6190
465
- 15400 val perplexity 275.6197
466
- 15400 train 5.879935 (lr=4.3006e-06) (hash(x)=164136966)
467
- 15500 val loss 5.6199
468
- 15500 val perplexity 275.8588
469
- 15500 train 5.826211 (lr=4.2040e-06) (hash(x)=158733990)
470
- 15600 val loss 5.6162
471
- 15600 val perplexity 274.8502
472
- 15600 train 5.653137 (lr=4.1119e-06) (hash(x)=149149390)
473
- 15700 val loss 5.6159
474
- 15700 val perplexity 274.7505
475
- 15700 train 5.570819 (lr=4.0244e-06) (hash(x)=146746394)
476
- 15800 val loss 5.6159
477
- 15800 val perplexity 274.7523
478
- 15800 train 5.637339 (lr=3.9414e-06) (hash(x)=159405219)
479
- 15900 val loss 5.6143
480
- 15900 val perplexity 274.3232
481
- 15900 train 5.642344 (lr=3.8630e-06) (hash(x)=154034029)
482
- 16000 val loss 5.6118
483
- 16000 val perplexity 273.6403
484
- 16000 train 5.622232 (lr=3.7892e-06) (hash(x)=153634210)
485
- 16100 val loss 5.6090
486
- 16100 val perplexity 272.8640
487
- 16100 train 5.539718 (lr=3.7201e-06) (hash(x)=155646721)
488
- 16200 val loss 5.6092
489
- 16200 val perplexity 272.9309
490
- 16200 train 5.523324 (lr=3.6556e-06) (hash(x)=142461643)
491
- 16300 val loss 5.6083
492
- 16300 val perplexity 272.6779
493
- 16300 train 5.506813 (lr=3.5959e-06) (hash(x)=141080038)
494
- 16400 val loss 5.6087
495
- 16400 val perplexity 272.7780
496
- 16400 train 5.624062 (lr=3.5408e-06) (hash(x)=153744166)
497
- 16500 val loss 5.6120
498
- 16500 val perplexity 273.6787
499
- 16500 train 5.419729 (lr=3.4905e-06) (hash(x)=149783517)
500
- 16600 val loss 5.6132
501
- 16600 val perplexity 274.0175
502
- 16600 train 5.444574 (lr=3.4449e-06) (hash(x)=142659127)
503
- 16700 val loss 5.6057
504
- 16700 val perplexity 271.9776
505
- 16700 train 5.668278 (lr=3.4041e-06) (hash(x)=149725921)
506
- 16800 val loss 5.6037
507
- 16800 val perplexity 271.4249
508
- 16800 train 5.455229 (lr=3.3680e-06) (hash(x)=140678087)
509
- 16900 val loss 5.6021
510
- 16900 val perplexity 270.9842
511
- 16900 train 5.614109 (lr=3.3367e-06) (hash(x)=146935413)
512
- 17000 val loss 5.6004
513
- 17000 val perplexity 270.5381
514
- 17000 train 5.614009 (lr=3.3102e-06) (hash(x)=144408437)
515
- 17100 val loss 5.6000
516
- 17100 val perplexity 270.4159
517
- 17100 train 5.451910 (lr=3.2886e-06) (hash(x)=149229905)
518
- 17200 val loss 5.6000
519
- 17200 val perplexity 270.4264
520
- 17200 train 5.549056 (lr=3.2717e-06) (hash(x)=150471865)
521
- 17300 val loss 5.6026
522
- 17300 val perplexity 271.1258
523
- 17300 train 5.492773 (lr=3.2596e-06) (hash(x)=155784916)
524
- 17400 val loss 5.6052
525
- 17400 val perplexity 271.8368
526
- 17400 train 5.381482 (lr=3.2524e-06) (hash(x)=148482413)
527
- 17499 val loss 5.5979
528
- 17499 val perplexity 269.8707
 
1
  max_steps: 17500
2
  0 val loss 11.2714
3
+ 0 val perplexity 78545.6094
4
+ 0 train 11.276529 (lr=1.7500e-07) (hash(x)=164406924)
5
+ 100 val loss 9.9266
6
+ 100 val perplexity 20467.4668
7
+ 100 train 9.971992 (lr=1.7675e-05) (hash(x)=177407419)
8
+ 200 val loss 8.9790
9
+ 200 val perplexity 7934.9438
10
+ 200 train 8.945872 (lr=3.5000e-05) (hash(x)=144903932)
11
+ 300 val loss 7.9072
12
+ 300 val perplexity 2716.8372
13
+ 300 train 8.167640 (lr=3.4997e-05) (hash(x)=173839165)
14
+ 400 val loss 7.6143
15
+ 400 val perplexity 2026.9836
16
+ 400 train 7.693684 (lr=3.4990e-05) (hash(x)=167734596)
17
+ 500 val loss 7.5204
18
+ 500 val perplexity 1845.3423
19
+ 500 train 7.531204 (lr=3.4977e-05) (hash(x)=153224076)
20
+ 600 val loss 7.4565
21
+ 600 val perplexity 1731.0846
22
+ 600 train 7.358781 (lr=3.4958e-05) (hash(x)=149619098)
23
+ 700 val loss 7.4099
24
+ 700 val perplexity 1652.3087
25
+ 700 train 7.336334 (lr=3.4935e-05) (hash(x)=146539909)
26
+ 800 val loss 7.3613
27
+ 800 val perplexity 1573.9480
28
+ 800 train 7.321278 (lr=3.4907e-05) (hash(x)=153710890)
29
+ 900 val loss 7.3258
30
+ 900 val perplexity 1519.0479
31
+ 900 train 7.265766 (lr=3.4873e-05) (hash(x)=155873620)
32
+ 1000 val loss 7.2840
33
+ 1000 val perplexity 1456.8236
34
+ 1000 train 7.201667 (lr=3.4834e-05) (hash(x)=145450636)
35
+ 1100 val loss 7.2368
36
+ 1100 val perplexity 1389.6337
37
+ 1100 train 7.307060 (lr=3.4790e-05) (hash(x)=154123388)
38
+ 1200 val loss 7.1929
39
+ 1200 val perplexity 1329.9440
40
+ 1200 train 7.065642 (lr=3.4741e-05) (hash(x)=145249251)
41
+ 1300 val loss 7.1508
42
+ 1300 val perplexity 1275.1411
43
+ 1300 train 7.040481 (lr=3.4687e-05) (hash(x)=148937127)
44
+ 1400 val loss 7.1070
45
+ 1400 val perplexity 1220.4199
46
+ 1400 train 7.223106 (lr=3.4628e-05) (hash(x)=150475545)
47
+ 1500 val loss 7.0655
48
+ 1500 val perplexity 1170.8129
49
+ 1500 train 6.988626 (lr=3.4563e-05) (hash(x)=154653428)
50
+ 1600 val loss 7.0237
51
+ 1600 val perplexity 1122.9769
52
+ 1600 train 7.005347 (lr=3.4494e-05) (hash(x)=144483776)
53
+ 1700 val loss 6.9803
54
+ 1700 val perplexity 1075.2378
55
+ 1700 train 7.135699 (lr=3.4419e-05) (hash(x)=157395496)
56
+ 1800 val loss 6.9478
57
+ 1800 val perplexity 1040.8788
58
+ 1800 train 6.965749 (lr=3.4340e-05) (hash(x)=157916369)
59
+ 1900 val loss 6.9103
60
+ 1900 val perplexity 1002.5468
61
+ 1900 train 7.111033 (lr=3.4255e-05) (hash(x)=166073923)
62
+ 2000 val loss 6.8849
63
+ 2000 val perplexity 977.3700
64
+ 2000 train 6.956383 (lr=3.4166e-05) (hash(x)=154856891)
65
+ 2100 val loss 6.8511
66
+ 2100 val perplexity 944.8918
67
+ 2100 train 6.848049 (lr=3.4072e-05) (hash(x)=151925203)
68
+ 2200 val loss 6.8133
69
+ 2200 val perplexity 909.8325
70
+ 2200 train 6.523357 (lr=3.3973e-05) (hash(x)=136191502)
71
+ 2300 val loss 6.7732
72
+ 2300 val perplexity 874.0762
73
+ 2300 train 6.939043 (lr=3.3869e-05) (hash(x)=153273362)
74
+ 2400 val loss 6.7307
75
+ 2400 val perplexity 837.6920
76
+ 2400 train 6.681937 (lr=3.3760e-05) (hash(x)=148021541)
77
+ 2500 val loss 6.7012
78
+ 2500 val perplexity 813.3631
79
+ 2500 train 6.649411 (lr=3.3646e-05) (hash(x)=141356608)
80
+ 2600 val loss 6.6608
81
+ 2600 val perplexity 781.1562
82
+ 2600 train 6.598667 (lr=3.3528e-05) (hash(x)=146005217)
83
+ 2700 val loss 6.6327
84
+ 2700 val perplexity 759.5594
85
+ 2700 train 6.472603 (lr=3.3405e-05) (hash(x)=144511718)
86
+ 2800 val loss 6.5913
87
+ 2800 val perplexity 728.7283
88
+ 2800 train 6.472763 (lr=3.3277e-05) (hash(x)=146019502)
89
+ 2900 val loss 6.5594
90
+ 2900 val perplexity 705.8724
91
+ 2900 train 6.474362 (lr=3.3144e-05) (hash(x)=146496200)
92
+ 3000 val loss 6.5411
93
+ 3000 val perplexity 693.0455
94
+ 3000 train 6.485529 (lr=3.3008e-05) (hash(x)=150127281)
95
+ 3100 val loss 6.5020
96
+ 3100 val perplexity 666.4407
97
+ 3100 train 6.481001 (lr=3.2866e-05) (hash(x)=142022255)
98
+ 3200 val loss 6.4705
99
+ 3200 val perplexity 645.7927
100
+ 3200 train 6.523926 (lr=3.2720e-05) (hash(x)=154120875)
101
+ 3300 val loss 6.4562
102
+ 3300 val perplexity 636.6580
103
+ 3300 train 6.525292 (lr=3.2570e-05) (hash(x)=153999717)
104
+ 3400 val loss 6.4321
105
+ 3400 val perplexity 621.4645
106
+ 3400 train 6.200135 (lr=3.2415e-05) (hash(x)=139694097)
107
+ 3500 val loss 6.4008
108
+ 3500 val perplexity 602.3418
109
+ 3500 train 6.595932 (lr=3.2256e-05) (hash(x)=162992732)
110
+ 3600 val loss 6.3711
111
+ 3600 val perplexity 584.6736
112
+ 3600 train 6.347825 (lr=3.2092e-05) (hash(x)=147574101)
113
+ 3700 val loss 6.3570
114
+ 3700 val perplexity 576.4910
115
+ 3700 train 6.464335 (lr=3.1924e-05) (hash(x)=157763099)
116
+ 3800 val loss 6.3282
117
+ 3800 val perplexity 560.1225
118
+ 3800 train 6.493472 (lr=3.1753e-05) (hash(x)=170800034)
119
+ 3900 val loss 6.3173
120
+ 3900 val perplexity 554.0912
121
+ 3900 train 6.395955 (lr=3.1577e-05) (hash(x)=164984528)
122
+ 4000 val loss 6.2971
123
+ 4000 val perplexity 542.9831
124
+ 4000 train 6.155862 (lr=3.1397e-05) (hash(x)=141743323)
125
+ 4100 val loss 6.2924
126
+ 4100 val perplexity 540.4485
127
+ 4100 train 6.310122 (lr=3.1212e-05) (hash(x)=153392872)
128
+ 4200 val loss 6.2781
129
+ 4200 val perplexity 532.7952
130
+ 4200 train 6.143710 (lr=3.1024e-05) (hash(x)=149074933)
131
+ 4300 val loss 6.2582
132
+ 4300 val perplexity 522.2766
133
+ 4300 train 6.652179 (lr=3.0833e-05) (hash(x)=167823423)
134
+ 4400 val loss 6.2320
135
+ 4400 val perplexity 508.7494
136
+ 4400 train 5.998601 (lr=3.0637e-05) (hash(x)=141203114)
137
+ 4500 val loss 6.2189
138
+ 4500 val perplexity 502.1626
139
+ 4500 train 6.219765 (lr=3.0437e-05) (hash(x)=146284780)
140
+ 4600 val loss 6.2007
141
+ 4600 val perplexity 493.1036
142
+ 4600 train 6.002645 (lr=3.0234e-05) (hash(x)=141126464)
143
+ 4700 val loss 6.1858
144
+ 4700 val perplexity 485.7832
145
+ 4700 train 6.216115 (lr=3.0027e-05) (hash(x)=154751926)
146
+ 4800 val loss 6.1708
147
+ 4800 val perplexity 478.5557
148
+ 4800 train 6.251617 (lr=2.9817e-05) (hash(x)=154793198)
149
+ 4900 val loss 6.1639
150
+ 4900 val perplexity 475.2658
151
+ 4900 train 5.881503 (lr=2.9603e-05) (hash(x)=139406392)
152
+ 5000 val loss 6.1723
153
+ 5000 val perplexity 479.2990
154
+ 5000 train 5.887846 (lr=2.9386e-05) (hash(x)=153548741)
155
+ 5100 val loss 6.1475
156
+ 5100 val perplexity 467.5700
157
+ 5100 train 6.233172 (lr=2.9166e-05) (hash(x)=160488568)
158
+ 5200 val loss 6.1319
159
+ 5200 val perplexity 460.3081
160
+ 5200 train 6.151352 (lr=2.8942e-05) (hash(x)=149645053)
161
+ 5300 val loss 6.1078
162
+ 5300 val perplexity 449.3437
163
+ 5300 train 6.208061 (lr=2.8715e-05) (hash(x)=155820556)
164
+ 5400 val loss 6.0966
165
+ 5400 val perplexity 444.3400
166
+ 5400 train 6.046060 (lr=2.8484e-05) (hash(x)=147538134)
167
+ 5500 val loss 6.0916
168
+ 5500 val perplexity 442.1204
169
+ 5500 train 6.301843 (lr=2.8251e-05) (hash(x)=166889307)
170
+ 5600 val loss 6.0740
171
+ 5600 val perplexity 434.4076
172
+ 5600 train 5.769093 (lr=2.8015e-05) (hash(x)=139516699)
173
+ 5700 val loss 6.0724
174
+ 5700 val perplexity 433.7223
175
+ 5700 train 5.755292 (lr=2.7776e-05) (hash(x)=140453511)
176
+ 5800 val loss 6.0626
177
+ 5800 val perplexity 429.4872
178
+ 5800 train 6.000001 (lr=2.7534e-05) (hash(x)=162964847)
179
+ 5900 val loss 6.0503
180
+ 5900 val perplexity 424.2379
181
+ 5900 train 6.053433 (lr=2.7290e-05) (hash(x)=150606634)
182
+ 6000 val loss 6.0302
183
+ 6000 val perplexity 415.8105
184
+ 6000 train 6.121263 (lr=2.7042e-05) (hash(x)=149890857)
185
+ 6100 val loss 6.0265
186
+ 6100 val perplexity 414.2556
187
+ 6100 train 6.125873 (lr=2.6792e-05) (hash(x)=173884145)
188
+ 6200 val loss 6.0170
189
+ 6200 val perplexity 410.3571
190
+ 6200 train 6.064613 (lr=2.6540e-05) (hash(x)=151987098)
191
+ 6300 val loss 6.0003
192
+ 6300 val perplexity 403.5415
193
+ 6300 train 5.954297 (lr=2.6285e-05) (hash(x)=148853562)
194
+ 6400 val loss 5.9930
195
+ 6400 val perplexity 400.5982
196
+ 6400 train 5.743896 (lr=2.6028e-05) (hash(x)=141530101)
197
+ 6500 val loss 5.9873
198
+ 6500 val perplexity 398.3281
199
+ 6500 train 5.854073 (lr=2.5769e-05) (hash(x)=142297809)
200
+ 6600 val loss 5.9702
201
+ 6600 val perplexity 391.5672
202
+ 6600 train 5.868578 (lr=2.5508e-05) (hash(x)=142447782)
203
+ 6700 val loss 5.9670
204
+ 6700 val perplexity 390.3195
205
+ 6700 train 5.964384 (lr=2.5244e-05) (hash(x)=147004686)
206
+ 6800 val loss 5.9555
207
+ 6800 val perplexity 385.8641
208
+ 6800 train 5.699266 (lr=2.4979e-05) (hash(x)=133438702)
209
+ 6900 val loss 5.9538
210
+ 6900 val perplexity 385.2148
211
+ 6900 train 5.983283 (lr=2.4711e-05) (hash(x)=157085143)
212
+ 7000 val loss 5.9415
213
+ 7000 val perplexity 380.5093
214
+ 7000 train 5.814411 (lr=2.4442e-05) (hash(x)=139437666)
215
+ 7100 val loss 5.9337
216
+ 7100 val perplexity 377.5412
217
+ 7100 train 5.945026 (lr=2.4171e-05) (hash(x)=159792986)
218
+ 7200 val loss 5.9151
219
+ 7200 val perplexity 370.6091
220
+ 7200 train 5.902672 (lr=2.3899e-05) (hash(x)=144930687)
221
+ 7300 val loss 5.9125
222
+ 7300 val perplexity 369.6437
223
+ 7300 train 5.960479 (lr=2.3625e-05) (hash(x)=156242690)
224
+ 7400 val loss 5.9014
225
+ 7400 val perplexity 365.5585
226
+ 7400 train 5.731031 (lr=2.3349e-05) (hash(x)=148183719)
227
+ 7500 val loss 5.8968
228
+ 7500 val perplexity 363.8860
229
+ 7500 train 5.943295 (lr=2.3073e-05) (hash(x)=152494758)
230
+ 7600 val loss 5.8931
231
+ 7600 val perplexity 362.5366
232
+ 7600 train 5.588400 (lr=2.2795e-05) (hash(x)=142485027)
233
+ 7700 val loss 5.8946
234
+ 7700 val perplexity 363.0880
235
+ 7700 train 5.764569 (lr=2.2515e-05) (hash(x)=147512165)
236
+ 7800 val loss 5.8700
237
+ 7800 val perplexity 354.2464
238
+ 7800 train 5.741778 (lr=2.2235e-05) (hash(x)=160346994)
239
+ 7900 val loss 5.8666
240
+ 7900 val perplexity 353.0454
241
+ 7900 train 5.738772 (lr=2.1954e-05) (hash(x)=144488254)
242
+ 8000 val loss 5.8550
243
+ 8000 val perplexity 348.9649
244
+ 8000 train 5.665582 (lr=2.1671e-05) (hash(x)=147637019)
245
+ 8100 val loss 5.8522
246
+ 8100 val perplexity 348.0111
247
+ 8100 train 5.713085 (lr=2.1388e-05) (hash(x)=147340534)
248
+ 8200 val loss 5.8435
249
+ 8200 val perplexity 344.9934
250
+ 8200 train 5.907599 (lr=2.1105e-05) (hash(x)=151630665)
251
+ 8300 val loss 5.8371
252
+ 8300 val perplexity 342.7936
253
+ 8300 train 5.941170 (lr=2.0820e-05) (hash(x)=149747064)
254
+ 8400 val loss 5.8255
255
+ 8400 val perplexity 338.8247
256
+ 8400 train 6.025146 (lr=2.0536e-05) (hash(x)=154245770)
257
+ 8500 val loss 5.8218
258
+ 8500 val perplexity 337.5670
259
+ 8500 train 5.710631 (lr=2.0250e-05) (hash(x)=152559100)
260
+ 8600 val loss 5.8137
261
+ 8600 val perplexity 334.8488
262
+ 8600 train 6.208880 (lr=1.9965e-05) (hash(x)=181365926)
263
+ 8700 val loss 5.8088
264
+ 8700 val perplexity 333.2325
265
+ 8700 train 5.632130 (lr=1.9679e-05) (hash(x)=154405991)
266
+ 8800 val loss 5.7990
267
+ 8800 val perplexity 329.9627
268
+ 8800 train 5.749090 (lr=1.9393e-05) (hash(x)=153755904)
269
+ 8900 val loss 5.7975
270
+ 8900 val perplexity 329.4634
271
+ 8900 train 5.708569 (lr=1.9107e-05) (hash(x)=152120568)
272
+ 9000 val loss 5.7785
273
+ 9000 val perplexity 323.2753
274
+ 9000 train 5.573270 (lr=1.8821e-05) (hash(x)=142797279)
275
+ 9100 val loss 5.7769
276
+ 9100 val perplexity 322.7535
277
+ 9100 train 5.646819 (lr=1.8535e-05) (hash(x)=143037503)
278
+ 9200 val loss 5.7753
279
+ 9200 val perplexity 322.2328
280
+ 9200 train 5.649633 (lr=1.8250e-05) (hash(x)=113690273)
281
+ 9300 val loss 5.7678
282
+ 9300 val perplexity 319.8191
283
+ 9300 train 5.708163 (lr=1.7964e-05) (hash(x)=158025077)
284
+ 9400 val loss 5.7595
285
+ 9400 val perplexity 317.1894
286
+ 9400 train 5.840967 (lr=1.7680e-05) (hash(x)=158251718)
287
+ 9500 val loss 5.7562
288
+ 9500 val perplexity 316.1416
289
+ 9500 train 5.786424 (lr=1.7395e-05) (hash(x)=154752610)
290
+ 9600 val loss 5.7477
291
+ 9600 val perplexity 313.4607
292
+ 9600 train 5.630883 (lr=1.7112e-05) (hash(x)=146889093)
293
+ 9700 val loss 5.7382
294
+ 9700 val perplexity 310.4960
295
+ 9700 train 5.741565 (lr=1.6829e-05) (hash(x)=156906516)
296
+ 9800 val loss 5.7365
297
+ 9800 val perplexity 309.9757
298
+ 9800 train 5.562198 (lr=1.6546e-05) (hash(x)=153841927)
299
+ 9900 val loss 5.7311
300
+ 9900 val perplexity 308.3038
301
+ 9900 train 5.949374 (lr=1.6265e-05) (hash(x)=163514334)
302
+ 10000 val loss 5.7238
303
+ 10000 val perplexity 306.0793
304
+ 10000 train 5.723799 (lr=1.5985e-05) (hash(x)=144745561)
305
+ 10100 val loss 5.7185
306
+ 10100 val perplexity 304.4456
307
+ 10100 train 5.935614 (lr=1.5705e-05) (hash(x)=161651149)
308
+ 10200 val loss 5.7124
309
+ 10200 val perplexity 302.5875
310
+ 10200 train 5.650381 (lr=1.5427e-05) (hash(x)=143667037)
311
+ 10300 val loss 5.7086
312
+ 10300 val perplexity 301.4551
313
+ 10300 train 5.606673 (lr=1.5151e-05) (hash(x)=151687262)
314
+ 10400 val loss 5.7048
315
+ 10400 val perplexity 300.2989
316
+ 10400 train 5.547319 (lr=1.4875e-05) (hash(x)=153694955)
317
+ 10500 val loss 5.7046
318
+ 10500 val perplexity 300.2592
319
+ 10500 train 5.655263 (lr=1.4601e-05) (hash(x)=150218029)
320
+ 10600 val loss 5.6985
321
+ 10600 val perplexity 298.4055
322
+ 10600 train 5.777823 (lr=1.4329e-05) (hash(x)=155093716)
323
+ 10700 val loss 5.6915
324
+ 10700 val perplexity 296.3455
325
+ 10700 train 5.739979 (lr=1.4058e-05) (hash(x)=151631831)
326
+ 10800 val loss 5.6844
327
+ 10800 val perplexity 294.2519
328
+ 10800 train 5.547766 (lr=1.3789e-05) (hash(x)=136465175)
329
+ 10900 val loss 5.6813
330
+ 10900 val perplexity 293.3297
331
+ 10900 train 5.622696 (lr=1.3521e-05) (hash(x)=154461514)
332
+ 11000 val loss 5.6797
333
+ 11000 val perplexity 292.8474
334
+ 11000 train 5.673146 (lr=1.3256e-05) (hash(x)=141877432)
335
+ 11100 val loss 5.6754
336
+ 11100 val perplexity 291.5960
337
+ 11100 train 5.466080 (lr=1.2992e-05) (hash(x)=139572894)
338
+ 11200 val loss 5.6679
339
+ 11200 val perplexity 289.4243
340
+ 11200 train 5.721173 (lr=1.2731e-05) (hash(x)=155591443)
341
+ 11300 val loss 5.6625
342
+ 11300 val perplexity 287.8601
343
+ 11300 train 5.691182 (lr=1.2472e-05) (hash(x)=153349136)
344
+ 11400 val loss 5.6604
345
+ 11400 val perplexity 287.2627
346
+ 11400 train 5.621408 (lr=1.2215e-05) (hash(x)=148109395)
347
+ 11500 val loss 5.6564
348
+ 11500 val perplexity 286.1266
349
+ 11500 train 5.653296 (lr=1.1960e-05) (hash(x)=153276620)
350
+ 11600 val loss 5.6545
351
+ 11600 val perplexity 285.5773
352
+ 11600 train 5.523118 (lr=1.1708e-05) (hash(x)=151416388)
353
+ 11700 val loss 5.6520
354
+ 11700 val perplexity 284.8488
355
+ 11700 train 5.519225 (lr=1.1458e-05) (hash(x)=143420927)
356
+ 11800 val loss 5.6470
357
+ 11800 val perplexity 283.4373
358
+ 11800 train 5.705198 (lr=1.1210e-05) (hash(x)=165023996)
359
+ 11900 val loss 5.6393
360
+ 11900 val perplexity 281.2567
361
+ 11900 train 5.543955 (lr=1.0966e-05) (hash(x)=144465076)
362
+ 12000 val loss 5.6378
363
+ 12000 val perplexity 280.8501
364
+ 12000 train 5.653812 (lr=1.0724e-05) (hash(x)=155991892)
365
+ 12100 val loss 5.6366
366
+ 12100 val perplexity 280.5099
367
+ 12100 train 5.683947 (lr=1.0485e-05) (hash(x)=150748844)
368
+ 12200 val loss 5.6320
369
+ 12200 val perplexity 279.2109
370
+ 12200 train 5.605118 (lr=1.0249e-05) (hash(x)=149712638)
371
+ 12300 val loss 5.6304
372
+ 12300 val perplexity 278.7651
373
+ 12300 train 5.462433 (lr=1.0016e-05) (hash(x)=140428230)
374
+ 12400 val loss 5.6273
375
+ 12400 val perplexity 277.9107
376
+ 12400 train 5.813768 (lr=9.7854e-06) (hash(x)=163614308)
377
+ 12500 val loss 5.6219
378
+ 12500 val perplexity 276.4029
379
+ 12500 train 5.587658 (lr=9.5583e-06) (hash(x)=153366153)
380
+ 12600 val loss 5.6200
381
+ 12600 val perplexity 275.8958
382
+ 12600 train 5.525670 (lr=9.3345e-06) (hash(x)=146832066)
383
+ 12700 val loss 5.6159
384
+ 12700 val perplexity 274.7627
385
+ 12700 train 5.789717 (lr=9.1139e-06) (hash(x)=154387414)
386
+ 12800 val loss 5.6145
387
+ 12800 val perplexity 274.3859
388
+ 12800 train 5.408749 (lr=8.8967e-06) (hash(x)=139465199)
389
+ 12900 val loss 5.6157
390
+ 12900 val perplexity 274.7184
391
+ 12900 train 5.331150 (lr=8.6829e-06) (hash(x)=143326374)
392
+ 13000 val loss 5.6096
393
+ 13000 val perplexity 273.0276
394
+ 13000 train 5.762860 (lr=8.4726e-06) (hash(x)=158817835)
395
+ 13100 val loss 5.6064
396
+ 13100 val perplexity 272.1617
397
+ 13100 train 5.488267 (lr=8.2658e-06) (hash(x)=142027874)
398
+ 13200 val loss 5.6051
399
+ 13200 val perplexity 271.8146
400
+ 13200 train 5.591190 (lr=8.0626e-06) (hash(x)=148497730)
401
+ 13300 val loss 5.6034
402
+ 13300 val perplexity 271.3353
403
+ 13300 train 5.507898 (lr=7.8632e-06) (hash(x)=148094633)
404
+ 13400 val loss 5.5998
405
+ 13400 val perplexity 270.3817
406
+ 13400 train 5.463295 (lr=7.6674e-06) (hash(x)=150548214)
407
+ 13500 val loss 5.5936
408
+ 13500 val perplexity 268.7015
409
+ 13500 train 5.709482 (lr=7.4756e-06) (hash(x)=152789725)
410
+ 13600 val loss 5.5917
411
+ 13600 val perplexity 268.1876
412
+ 13600 train 5.634488 (lr=7.2875e-06) (hash(x)=153220230)
413
+ 13700 val loss 5.5894
414
+ 13700 val perplexity 267.5828
415
+ 13700 train 5.616460 (lr=7.1035e-06) (hash(x)=147805699)
416
+ 13800 val loss 5.5893
417
+ 13800 val perplexity 267.5524
418
+ 13800 train 5.399392 (lr=6.9234e-06) (hash(x)=146267341)
419
+ 13900 val loss 5.5881
420
+ 13900 val perplexity 267.2294
421
+ 13900 train 5.423314 (lr=6.7474e-06) (hash(x)=139467501)
422
+ 14000 val loss 5.5856
423
+ 14000 val perplexity 266.5664
424
+ 14000 train 5.602534 (lr=6.5756e-06) (hash(x)=152185436)
425
+ 14100 val loss 5.5805
426
+ 14100 val perplexity 265.2093
427
+ 14100 train 5.709170 (lr=6.4079e-06) (hash(x)=176479139)
428
+ 14200 val loss 5.5764
429
+ 14200 val perplexity 264.1297
430
+ 14200 train 5.654222 (lr=6.2444e-06) (hash(x)=151052040)
431
+ 14300 val loss 5.5752
432
+ 14300 val perplexity 263.8138
433
+ 14300 train 5.522494 (lr=6.0852e-06) (hash(x)=149668097)
434
+ 14400 val loss 5.5749
435
+ 14400 val perplexity 263.7227
436
+ 14400 train 5.588047 (lr=5.9304e-06) (hash(x)=151761941)
437
+ 14500 val loss 5.5726
438
+ 14500 val perplexity 263.1170
439
+ 14500 train 5.530627 (lr=5.7800e-06) (hash(x)=149412009)
440
+ 14600 val loss 5.5700
441
+ 14600 val perplexity 262.4285
442
+ 14600 train 5.451919 (lr=5.6340e-06) (hash(x)=145048020)
443
+ 14700 val loss 5.5677
444
+ 14700 val perplexity 261.8238
445
+ 14700 train 5.520936 (lr=5.4925e-06) (hash(x)=141771666)
446
+ 14800 val loss 5.5643
447
+ 14800 val perplexity 260.9447
448
+ 14800 train 5.486890 (lr=5.3555e-06) (hash(x)=148759740)
449
+ 14900 val loss 5.5629
450
+ 14900 val perplexity 260.5715
451
+ 14900 train 5.491292 (lr=5.2231e-06) (hash(x)=146287032)
452
+ 15000 val loss 5.5606
453
+ 15000 val perplexity 259.9802
454
+ 15000 train 5.507795 (lr=5.0954e-06) (hash(x)=143519156)
455
+ 15100 val loss 5.5632
456
+ 15100 val perplexity 260.6473
457
+ 15100 train 5.548056 (lr=4.9723e-06) (hash(x)=151330688)
458
+ 15200 val loss 5.5655
459
+ 15200 val perplexity 261.2667
460
+ 15200 train 5.371873 (lr=4.8539e-06) (hash(x)=140380090)
461
+ 15300 val loss 5.5599
462
+ 15300 val perplexity 259.7881
463
+ 15300 train 5.470203 (lr=4.7403e-06) (hash(x)=152598160)
464
+ 15400 val loss 5.5553
465
+ 15400 val perplexity 258.5987
466
+ 15400 train 5.792345 (lr=4.6314e-06) (hash(x)=164136966)
467
+ 15500 val loss 5.5544
468
+ 15500 val perplexity 258.3689
469
+ 15500 train 5.751496 (lr=4.5274e-06) (hash(x)=158733990)
470
+ 15600 val loss 5.5519
471
+ 15600 val perplexity 257.7298
472
+ 15600 train 5.593985 (lr=4.4282e-06) (hash(x)=149149390)
473
+ 15700 val loss 5.5506
474
+ 15700 val perplexity 257.3911
475
+ 15700 train 5.507520 (lr=4.3339e-06) (hash(x)=146746394)
476
+ 15800 val loss 5.5500
477
+ 15800 val perplexity 257.2358
478
+ 15800 train 5.569361 (lr=4.2446e-06) (hash(x)=159405219)
479
+ 15900 val loss 5.5485
480
+ 15900 val perplexity 256.8521
481
+ 15900 train 5.591457 (lr=4.1601e-06) (hash(x)=154034029)
482
+ 16000 val loss 5.5467
483
+ 16000 val perplexity 256.3889
484
+ 16000 train 5.543062 (lr=4.0807e-06) (hash(x)=153634210)
485
+ 16100 val loss 5.5438
486
+ 16100 val perplexity 255.6543
487
+ 16100 train 5.479768 (lr=4.0063e-06) (hash(x)=155646721)
488
+ 16200 val loss 5.5435
489
+ 16200 val perplexity 255.5702
490
+ 16200 train 5.458189 (lr=3.9368e-06) (hash(x)=142461643)
491
+ 16300 val loss 5.5426
492
+ 16300 val perplexity 255.3481
493
+ 16300 train 5.459714 (lr=3.8725e-06) (hash(x)=141080038)
494
+ 16400 val loss 5.5416
495
+ 16400 val perplexity 255.0929
496
+ 16400 train 5.554860 (lr=3.8132e-06) (hash(x)=153744166)
497
+ 16500 val loss 5.5441
498
+ 16500 val perplexity 255.7334
499
+ 16500 train 5.367388 (lr=3.7590e-06) (hash(x)=149783517)
500
+ 16600 val loss 5.5463
501
+ 16600 val perplexity 256.2921
502
+ 16600 train 5.386395 (lr=3.7099e-06) (hash(x)=142659127)
503
+ 16700 val loss 5.5397
504
+ 16700 val perplexity 254.5953
505
+ 16700 train 5.616637 (lr=3.6659e-06) (hash(x)=149725921)
506
+ 16800 val loss 5.5367
507
+ 16800 val perplexity 253.8382
508
+ 16800 train 5.392825 (lr=3.6271e-06) (hash(x)=140678087)
509
+ 16900 val loss 5.5347
510
+ 16900 val perplexity 253.3222
511
+ 16900 train 5.555767 (lr=3.5934e-06) (hash(x)=146935413)
512
+ 17000 val loss 5.5331
513
+ 17000 val perplexity 252.9307
514
+ 17000 train 5.549460 (lr=3.5649e-06) (hash(x)=144408437)
515
+ 17100 val loss 5.5327
516
+ 17100 val perplexity 252.8303
517
+ 17100 train 5.365889 (lr=3.5415e-06) (hash(x)=149229905)
518
+ 17200 val loss 5.5338
519
+ 17200 val perplexity 253.1139
520
+ 17200 train 5.497445 (lr=3.5234e-06) (hash(x)=150471865)
521
+ 17300 val loss 5.5350
522
+ 17300 val perplexity 253.3969
523
+ 17300 train 5.428278 (lr=3.5104e-06) (hash(x)=155784916)
524
+ 17400 val loss 5.5377
525
+ 17400 val perplexity 254.0839
526
+ 17400 train 5.318845 (lr=3.5026e-06) (hash(x)=148482413)
527
+ 17499 val loss 5.5305
528
+ 17499 val perplexity 252.2734
attention_kindselective_n_heads4_seed1340/model_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a172398ba2e69bcf26655d3b124c6e88d83154a9dbaee1270ed90a1898458663
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4923e7ab702d1408072d4b06f276cf73b3ab667510dbbd6f90cda737d2a3559a
3
  size 92843394
attention_kindselective_n_heads4_seed1340/optimizer_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:db5e34eda7ce004231ee080ffa4fbd862d3bb53a9f408e9f8709da0053c1c277
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82254200685547f8a942c48ae6e428bb336a452a15fc717fa5d70f603e7ad765
3
  size 179406214