andrew-healey commited on
Commit
788e28a
·
verified ·
1 Parent(s): a4947cb

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1341/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1341", "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": 1341, "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_1341", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1341", "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": 1341, "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_1341", "n_embd": 256}
attention_kindselective_n_heads4_seed1341/log2.txt CHANGED
@@ -1,528 +1,528 @@
1
  max_steps: 17500
2
  0 val loss 11.3107
3
  0 val perplexity 81693.5234
4
- 0 train 11.308768 (lr=1.3750e-07) (hash(x)=145079536)
5
- 100 val loss 9.9993
6
- 100 val perplexity 22010.1719
7
- 100 train 9.939669 (lr=1.3888e-05) (hash(x)=154745873)
8
- 200 val loss 9.1864
9
- 200 val perplexity 9763.2383
10
- 200 train 9.216236 (lr=2.7500e-05) (hash(x)=155800595)
11
- 300 val loss 8.0336
12
- 300 val perplexity 3082.9048
13
- 300 train 8.000475 (lr=2.7498e-05) (hash(x)=148595389)
14
- 400 val loss 7.6898
15
- 400 val perplexity 2185.9587
16
- 400 train 7.606212 (lr=2.7492e-05) (hash(x)=145606733)
17
- 500 val loss 7.5730
18
- 500 val perplexity 1944.9144
19
- 500 train 7.413569 (lr=2.7482e-05) (hash(x)=138221231)
20
- 600 val loss 7.5082
21
- 600 val perplexity 1822.9774
22
- 600 train 7.518361 (lr=2.7467e-05) (hash(x)=150367139)
23
- 700 val loss 7.4621
24
- 700 val perplexity 1740.8705
25
- 700 train 7.613705 (lr=2.7449e-05) (hash(x)=155579314)
26
- 800 val loss 7.4197
27
- 800 val perplexity 1668.4584
28
- 800 train 7.498192 (lr=2.7427e-05) (hash(x)=155747374)
29
- 900 val loss 7.3766
30
- 900 val perplexity 1598.2067
31
- 900 train 7.581522 (lr=2.7400e-05) (hash(x)=159334575)
32
- 1000 val loss 7.3366
33
- 1000 val perplexity 1535.4816
34
- 1000 train 7.210344 (lr=2.7370e-05) (hash(x)=140604760)
35
- 1100 val loss 7.3040
36
- 1100 val perplexity 1486.2832
37
- 1100 train 7.140453 (lr=2.7335e-05) (hash(x)=146208052)
38
- 1200 val loss 7.2680
39
- 1200 val perplexity 1433.7283
40
- 1200 train 7.167972 (lr=2.7297e-05) (hash(x)=148404734)
41
- 1300 val loss 7.2364
42
- 1300 val perplexity 1389.1176
43
- 1300 train 7.170488 (lr=2.7254e-05) (hash(x)=155681970)
44
- 1400 val loss 7.2065
45
- 1400 val perplexity 1348.1545
46
- 1400 train 7.154507 (lr=2.7207e-05) (hash(x)=148115934)
47
- 1500 val loss 7.1673
48
- 1500 val perplexity 1296.3444
49
- 1500 train 7.319304 (lr=2.7157e-05) (hash(x)=157074034)
50
- 1600 val loss 7.1201
51
- 1600 val perplexity 1236.6083
52
- 1600 train 6.882675 (lr=2.7102e-05) (hash(x)=137464699)
53
- 1700 val loss 7.0777
54
- 1700 val perplexity 1185.2509
55
- 1700 train 7.243387 (lr=2.7044e-05) (hash(x)=166955614)
56
- 1800 val loss 7.0408
57
- 1800 val perplexity 1142.3480
58
- 1800 train 6.867510 (lr=2.6981e-05) (hash(x)=143886042)
59
- 1900 val loss 7.0111
60
- 1900 val perplexity 1108.8199
61
- 1900 train 7.622176 (lr=2.6915e-05) (hash(x)=193610391)
62
- 2000 val loss 6.9824
63
- 2000 val perplexity 1077.5485
64
- 2000 train 7.160104 (lr=2.6845e-05) (hash(x)=163799796)
65
- 2100 val loss 6.9365
66
- 2100 val perplexity 1029.1138
67
- 2100 train 6.915351 (lr=2.6771e-05) (hash(x)=154107339)
68
- 2200 val loss 6.9076
69
- 2200 val perplexity 999.8671
70
- 2200 train 6.908937 (lr=2.6693e-05) (hash(x)=144592844)
71
- 2300 val loss 6.8779
72
- 2300 val perplexity 970.5944
73
- 2300 train 6.958189 (lr=2.6611e-05) (hash(x)=154535861)
74
- 2400 val loss 6.8486
75
- 2400 val perplexity 942.5140
76
- 2400 train 7.593205 (lr=2.6525e-05) (hash(x)=204706354)
77
- 2500 val loss 6.8168
78
- 2500 val perplexity 913.0473
79
- 2500 train 6.615187 (lr=2.6436e-05) (hash(x)=143783202)
80
- 2600 val loss 6.7786
81
- 2600 val perplexity 878.8146
82
- 2600 train 6.676283 (lr=2.6343e-05) (hash(x)=150862210)
83
- 2700 val loss 6.7375
84
- 2700 val perplexity 843.4412
85
- 2700 train 6.790683 (lr=2.6246e-05) (hash(x)=150753426)
86
- 2800 val loss 6.7151
87
- 2800 val perplexity 824.7335
88
- 2800 train 6.720888 (lr=2.6146e-05) (hash(x)=147766811)
89
- 2900 val loss 6.6649
90
- 2900 val perplexity 784.4006
91
- 2900 train 6.601873 (lr=2.6042e-05) (hash(x)=151177814)
92
- 3000 val loss 6.6305
93
- 3000 val perplexity 757.8395
94
- 3000 train 6.486729 (lr=2.5934e-05) (hash(x)=135925327)
95
- 3100 val loss 6.6070
96
- 3100 val perplexity 740.2267
97
- 3100 train 6.250475 (lr=2.5823e-05) (hash(x)=124842353)
98
- 3200 val loss 6.5818
99
- 3200 val perplexity 721.8633
100
- 3200 train 6.691461 (lr=2.5709e-05) (hash(x)=160440642)
101
- 3300 val loss 6.5474
102
- 3300 val perplexity 697.4006
103
- 3300 train 6.458886 (lr=2.5590e-05) (hash(x)=143017131)
104
- 3400 val loss 6.5191
105
- 3400 val perplexity 677.9949
106
- 3400 train 6.827440 (lr=2.5469e-05) (hash(x)=148143474)
107
- 3500 val loss 6.4999
108
- 3500 val perplexity 665.0741
109
- 3500 train 6.319547 (lr=2.5344e-05) (hash(x)=148732639)
110
- 3600 val loss 6.4765
111
- 3600 val perplexity 649.7057
112
- 3600 train 6.477383 (lr=2.5215e-05) (hash(x)=146333803)
113
- 3700 val loss 6.4615
114
- 3700 val perplexity 640.0327
115
- 3700 train 6.259657 (lr=2.5083e-05) (hash(x)=143611445)
116
- 3800 val loss 6.4465
117
- 3800 val perplexity 630.4874
118
- 3800 train 6.230040 (lr=2.4948e-05) (hash(x)=141272115)
119
- 3900 val loss 6.4254
120
- 3900 val perplexity 617.3164
121
- 3900 train 6.358279 (lr=2.4810e-05) (hash(x)=149161848)
122
- 4000 val loss 6.3938
123
- 4000 val perplexity 598.1159
124
- 4000 train 6.475472 (lr=2.4669e-05) (hash(x)=152036955)
125
- 4100 val loss 6.3766
126
- 4100 val perplexity 587.9465
127
- 4100 train 6.431635 (lr=2.4524e-05) (hash(x)=153260968)
128
- 4200 val loss 6.3591
129
- 4200 val perplexity 577.7065
130
- 4200 train 6.244727 (lr=2.4376e-05) (hash(x)=147629478)
131
- 4300 val loss 6.3432
132
- 4300 val perplexity 568.6074
133
- 4300 train 6.326876 (lr=2.4226e-05) (hash(x)=161701080)
134
- 4400 val loss 6.3301
135
- 4400 val perplexity 561.1898
136
- 4400 train 6.374499 (lr=2.4072e-05) (hash(x)=155290524)
137
- 4500 val loss 6.3202
138
- 4500 val perplexity 555.6777
139
- 4500 train 6.102327 (lr=2.3915e-05) (hash(x)=144726593)
140
- 4600 val loss 6.3096
141
- 4600 val perplexity 549.8514
142
- 4600 train 6.254610 (lr=2.3755e-05) (hash(x)=149517202)
143
- 4700 val loss 6.2907
144
- 4700 val perplexity 539.5439
145
- 4700 train 6.293215 (lr=2.3593e-05) (hash(x)=139403008)
146
- 4800 val loss 6.2714
147
- 4800 val perplexity 529.2137
148
- 4800 train 6.360953 (lr=2.3428e-05) (hash(x)=153387238)
149
- 4900 val loss 6.2676
150
- 4900 val perplexity 527.2242
151
- 4900 train 6.016084 (lr=2.3260e-05) (hash(x)=139881569)
152
- 5000 val loss 6.2394
153
- 5000 val perplexity 512.5274
154
- 5000 train 6.236556 (lr=2.3089e-05) (hash(x)=152602580)
155
- 5100 val loss 6.2321
156
- 5100 val perplexity 508.8243
157
- 5100 train 6.281746 (lr=2.2916e-05) (hash(x)=150598460)
158
- 5200 val loss 6.2226
159
- 5200 val perplexity 503.9968
160
- 5200 train 6.106723 (lr=2.2740e-05) (hash(x)=147660496)
161
- 5300 val loss 6.2120
162
- 5300 val perplexity 498.7130
163
- 5300 train 5.953794 (lr=2.2561e-05) (hash(x)=147693848)
164
- 5400 val loss 6.2089
165
- 5400 val perplexity 497.1427
166
- 5400 train 5.962179 (lr=2.2381e-05) (hash(x)=136048145)
167
- 5500 val loss 6.1849
168
- 5500 val perplexity 485.3567
169
- 5500 train 6.196786 (lr=2.2197e-05) (hash(x)=140313123)
170
- 5600 val loss 6.1751
171
- 5600 val perplexity 480.6118
172
- 5600 train 6.196830 (lr=2.2012e-05) (hash(x)=156997993)
173
- 5700 val loss 6.1596
174
- 5700 val perplexity 473.2623
175
- 5700 train 6.171885 (lr=2.1824e-05) (hash(x)=143513880)
176
- 5800 val loss 6.1521
177
- 5800 val perplexity 469.7099
178
- 5800 train 6.271136 (lr=2.1634e-05) (hash(x)=153736628)
179
- 5900 val loss 6.1446
180
- 5900 val perplexity 466.1858
181
- 5900 train 6.286342 (lr=2.1442e-05) (hash(x)=166385417)
182
- 6000 val loss 6.1329
183
- 6000 val perplexity 460.7750
184
- 6000 train 6.367750 (lr=2.1248e-05) (hash(x)=153216517)
185
- 6100 val loss 6.1302
186
- 6100 val perplexity 459.5361
187
- 6100 train 6.014255 (lr=2.1051e-05) (hash(x)=145387545)
188
- 6200 val loss 6.1215
189
- 6200 val perplexity 455.5325
190
- 6200 train 6.245870 (lr=2.0853e-05) (hash(x)=156306460)
191
- 6300 val loss 6.1079
192
- 6300 val perplexity 449.4084
193
- 6300 train 6.042010 (lr=2.0653e-05) (hash(x)=148610447)
194
- 6400 val loss 6.0925
195
- 6400 val perplexity 442.5284
196
- 6400 train 6.320738 (lr=2.0451e-05) (hash(x)=158343535)
197
- 6500 val loss 6.0817
198
- 6500 val perplexity 437.7669
199
- 6500 train 6.248390 (lr=2.0247e-05) (hash(x)=157742557)
200
- 6600 val loss 6.0811
201
- 6600 val perplexity 437.5079
202
- 6600 train 5.983360 (lr=2.0042e-05) (hash(x)=150457308)
203
- 6700 val loss 6.0731
204
- 6700 val perplexity 434.0280
205
- 6700 train 5.936596 (lr=1.9835e-05) (hash(x)=142426205)
206
- 6800 val loss 6.0693
207
- 6800 val perplexity 432.3716
208
- 6800 train 5.861384 (lr=1.9626e-05) (hash(x)=151522525)
209
- 6900 val loss 6.0550
210
- 6900 val perplexity 426.2327
211
- 6900 train 6.003469 (lr=1.9416e-05) (hash(x)=152029630)
212
- 7000 val loss 6.0406
213
- 7000 val perplexity 420.1532
214
- 7000 train 5.885346 (lr=1.9205e-05) (hash(x)=142978954)
215
- 7100 val loss 6.0321
216
- 7100 val perplexity 416.6035
217
- 7100 train 5.914243 (lr=1.8992e-05) (hash(x)=148064359)
218
- 7200 val loss 6.0269
219
- 7200 val perplexity 414.4176
220
- 7200 train 5.927231 (lr=1.8778e-05) (hash(x)=155771845)
221
- 7300 val loss 6.0232
222
- 7300 val perplexity 412.8852
223
- 7300 train 5.828673 (lr=1.8562e-05) (hash(x)=141639844)
224
- 7400 val loss 6.0229
225
- 7400 val perplexity 412.7574
226
- 7400 train 6.078304 (lr=1.8346e-05) (hash(x)=153466021)
227
- 7500 val loss 6.0097
228
- 7500 val perplexity 407.3585
229
- 7500 train 6.001205 (lr=1.8128e-05) (hash(x)=148843587)
230
- 7600 val loss 5.9989
231
- 7600 val perplexity 402.9885
232
- 7600 train 6.119777 (lr=1.7910e-05) (hash(x)=152053933)
233
- 7700 val loss 5.9926
234
- 7700 val perplexity 400.4386
235
- 7700 train 5.853600 (lr=1.7691e-05) (hash(x)=141564003)
236
- 7800 val loss 5.9839
237
- 7800 val perplexity 396.9968
238
- 7800 train 5.855370 (lr=1.7470e-05) (hash(x)=148617843)
239
- 7900 val loss 5.9810
240
- 7900 val perplexity 395.8490
241
- 7900 train 5.949779 (lr=1.7249e-05) (hash(x)=146417668)
242
- 8000 val loss 5.9751
243
- 8000 val perplexity 393.5120
244
- 8000 train 5.772148 (lr=1.7028e-05) (hash(x)=150165488)
245
- 8100 val loss 5.9658
246
- 8100 val perplexity 389.8839
247
- 8100 train 5.963167 (lr=1.6805e-05) (hash(x)=144818855)
248
- 8200 val loss 5.9597
249
- 8200 val perplexity 387.4996
250
- 8200 train 6.048904 (lr=1.6582e-05) (hash(x)=143074954)
251
- 8300 val loss 5.9525
252
- 8300 val perplexity 384.7203
253
- 8300 train 5.833498 (lr=1.6359e-05) (hash(x)=145172494)
254
- 8400 val loss 5.9454
255
- 8400 val perplexity 381.9796
256
- 8400 train 5.982568 (lr=1.6135e-05) (hash(x)=152284393)
257
- 8500 val loss 5.9396
258
- 8500 val perplexity 379.7978
259
- 8500 train 5.799961 (lr=1.5911e-05) (hash(x)=147044705)
260
- 8600 val loss 5.9406
261
- 8600 val perplexity 380.1599
262
- 8600 train 5.820881 (lr=1.5687e-05) (hash(x)=147762608)
263
- 8700 val loss 5.9296
264
- 8700 val perplexity 375.9991
265
- 8700 train 5.935435 (lr=1.5462e-05) (hash(x)=141994567)
266
- 8800 val loss 5.9242
267
- 8800 val perplexity 373.9842
268
- 8800 train 6.012501 (lr=1.5237e-05) (hash(x)=152552896)
269
- 8900 val loss 5.9175
270
- 8900 val perplexity 371.4999
271
- 8900 train 5.755026 (lr=1.5013e-05) (hash(x)=139714454)
272
- 9000 val loss 5.9095
273
- 9000 val perplexity 368.5270
274
- 9000 train 5.943279 (lr=1.4788e-05) (hash(x)=152274419)
275
- 9100 val loss 5.9073
276
- 9100 val perplexity 367.7229
277
- 9100 train 5.999683 (lr=1.4563e-05) (hash(x)=160536885)
278
- 9200 val loss 5.9038
279
- 9200 val perplexity 366.4267
280
- 9200 train 5.710702 (lr=1.4339e-05) (hash(x)=138386899)
281
- 9300 val loss 5.8969
282
- 9300 val perplexity 363.8964
283
- 9300 train 5.944336 (lr=1.4115e-05) (hash(x)=149957457)
284
- 9400 val loss 5.8869
285
- 9400 val perplexity 360.2753
286
- 9400 train 5.909703 (lr=1.3891e-05) (hash(x)=161671548)
287
- 9500 val loss 5.8875
288
- 9500 val perplexity 360.5039
289
- 9500 train 6.022851 (lr=1.3668e-05) (hash(x)=171857400)
290
- 9600 val loss 5.8794
291
- 9600 val perplexity 357.5925
292
- 9600 train 5.638875 (lr=1.3445e-05) (hash(x)=135378471)
293
- 9700 val loss 5.8734
294
- 9700 val perplexity 355.4576
295
- 9700 train 5.805750 (lr=1.3222e-05) (hash(x)=149514591)
296
- 9800 val loss 5.8676
297
- 9800 val perplexity 353.3880
298
- 9800 train 5.845808 (lr=1.3001e-05) (hash(x)=152679072)
299
- 9900 val loss 5.8620
300
- 9900 val perplexity 351.4184
301
- 9900 train 5.809219 (lr=1.2780e-05) (hash(x)=150415193)
302
- 10000 val loss 5.8582
303
- 10000 val perplexity 350.1083
304
- 10000 train 5.701046 (lr=1.2559e-05) (hash(x)=146910087)
305
- 10100 val loss 5.8528
306
- 10100 val perplexity 348.1940
307
- 10100 train 5.768382 (lr=1.2340e-05) (hash(x)=152091050)
308
- 10200 val loss 5.8537
309
- 10200 val perplexity 348.5076
310
- 10200 train 5.697745 (lr=1.2122e-05) (hash(x)=143101306)
311
- 10300 val loss 5.8457
312
- 10300 val perplexity 345.7297
313
- 10300 train 5.859143 (lr=1.1904e-05) (hash(x)=150803985)
314
- 10400 val loss 5.8446
315
- 10400 val perplexity 345.3572
316
- 10400 train 5.820405 (lr=1.1688e-05) (hash(x)=148671575)
317
- 10500 val loss 5.8366
318
- 10500 val perplexity 342.6211
319
- 10500 train 5.637980 (lr=1.1472e-05) (hash(x)=146312794)
320
- 10600 val loss 5.8366
321
- 10600 val perplexity 342.6121
322
- 10600 train 5.661836 (lr=1.1258e-05) (hash(x)=137878985)
323
- 10700 val loss 5.8311
324
- 10700 val perplexity 340.7318
325
- 10700 train 5.640622 (lr=1.1045e-05) (hash(x)=148897486)
326
- 10800 val loss 5.8273
327
- 10800 val perplexity 339.4301
328
- 10800 train 5.929305 (lr=1.0834e-05) (hash(x)=147219580)
329
- 10900 val loss 5.8305
330
- 10900 val perplexity 340.5177
331
- 10900 train 5.855745 (lr=1.0624e-05) (hash(x)=152048929)
332
- 11000 val loss 5.8134
333
- 11000 val perplexity 334.7551
334
- 11000 train 5.701807 (lr=1.0415e-05) (hash(x)=146417066)
335
- 11100 val loss 5.8115
336
- 11100 val perplexity 334.1171
337
- 11100 train 5.671261 (lr=1.0208e-05) (hash(x)=148784436)
338
- 11200 val loss 5.8088
339
- 11200 val perplexity 333.2312
340
- 11200 train 5.778788 (lr=1.0003e-05) (hash(x)=144721870)
341
- 11300 val loss 5.8068
342
- 11300 val perplexity 332.5641
343
- 11300 train 5.729158 (lr=9.7991e-06) (hash(x)=149442981)
344
- 11400 val loss 5.8033
345
- 11400 val perplexity 331.3796
346
- 11400 train 5.692762 (lr=9.5972e-06) (hash(x)=154481228)
347
- 11500 val loss 5.7970
348
- 11500 val perplexity 329.2994
349
- 11500 train 5.479829 (lr=9.3970e-06) (hash(x)=115164581)
350
- 11600 val loss 5.7922
351
- 11600 val perplexity 327.7303
352
- 11600 train 6.014553 (lr=9.1988e-06) (hash(x)=155048082)
353
- 11700 val loss 5.7885
354
- 11700 val perplexity 326.5278
355
- 11700 train 5.846733 (lr=9.0025e-06) (hash(x)=152123770)
356
- 11800 val loss 5.7866
357
- 11800 val perplexity 325.8922
358
- 11800 train 5.729887 (lr=8.8082e-06) (hash(x)=152705857)
359
- 11900 val loss 5.7835
360
- 11900 val perplexity 324.8806
361
- 11900 train 5.503841 (lr=8.6160e-06) (hash(x)=137392362)
362
- 12000 val loss 5.7836
363
- 12000 val perplexity 324.9294
364
- 12000 train 5.593571 (lr=8.4260e-06) (hash(x)=143492562)
365
- 12100 val loss 5.7785
366
- 12100 val perplexity 323.2764
367
- 12100 train 5.755323 (lr=8.2381e-06) (hash(x)=141825431)
368
- 12200 val loss 5.7731
369
- 12200 val perplexity 321.5305
370
- 12200 train 5.674329 (lr=8.0526e-06) (hash(x)=141774370)
371
- 12300 val loss 5.7699
372
- 12300 val perplexity 320.4902
373
- 12300 train 5.789728 (lr=7.8694e-06) (hash(x)=152995173)
374
- 12400 val loss 5.7699
375
- 12400 val perplexity 320.5191
376
- 12400 train 5.592089 (lr=7.6885e-06) (hash(x)=144703471)
377
- 12500 val loss 5.7671
378
- 12500 val perplexity 319.6013
379
- 12500 train 5.667903 (lr=7.5101e-06) (hash(x)=144866179)
380
- 12600 val loss 5.7646
381
- 12600 val perplexity 318.8022
382
- 12600 train 5.770620 (lr=7.3342e-06) (hash(x)=157019663)
383
- 12700 val loss 5.7630
384
- 12700 val perplexity 318.2904
385
- 12700 train 5.726803 (lr=7.1609e-06) (hash(x)=152872020)
386
- 12800 val loss 5.7580
387
- 12800 val perplexity 316.7254
388
- 12800 train 5.795256 (lr=6.9903e-06) (hash(x)=158975636)
389
- 12900 val loss 5.7524
390
- 12900 val perplexity 314.9327
391
- 12900 train 5.794280 (lr=6.8223e-06) (hash(x)=143495701)
392
- 13000 val loss 5.7524
393
- 13000 val perplexity 314.9420
394
- 13000 train 5.674680 (lr=6.6570e-06) (hash(x)=151940005)
395
- 13100 val loss 5.7502
396
- 13100 val perplexity 314.2474
397
- 13100 train 6.036286 (lr=6.4945e-06) (hash(x)=155920713)
398
- 13200 val loss 5.7482
399
- 13200 val perplexity 313.6359
400
- 13200 train 5.937761 (lr=6.3349e-06) (hash(x)=152145878)
401
- 13300 val loss 5.7452
402
- 13300 val perplexity 312.6820
403
- 13300 train 5.543325 (lr=6.1782e-06) (hash(x)=134141709)
404
- 13400 val loss 5.7481
405
- 13400 val perplexity 313.5864
406
- 13400 train 5.669959 (lr=6.0244e-06) (hash(x)=146096299)
407
- 13500 val loss 5.7450
408
- 13500 val perplexity 312.6364
409
- 13500 train 5.501187 (lr=5.8737e-06) (hash(x)=144011431)
410
- 13600 val loss 5.7382
411
- 13600 val perplexity 310.4945
412
- 13600 train 5.982531 (lr=5.7259e-06) (hash(x)=163950932)
413
- 13700 val loss 5.7341
414
- 13700 val perplexity 309.2354
415
- 13700 train 5.881189 (lr=5.5813e-06) (hash(x)=156652406)
416
- 13800 val loss 5.7304
417
- 13800 val perplexity 308.0932
418
- 13800 train 5.646419 (lr=5.4398e-06) (hash(x)=145753166)
419
- 13900 val loss 5.7296
420
- 13900 val perplexity 307.8456
421
- 13900 train 5.600583 (lr=5.3016e-06) (hash(x)=147065551)
422
- 14000 val loss 5.7269
423
- 14000 val perplexity 307.0269
424
- 14000 train 6.192235 (lr=5.1665e-06) (hash(x)=179077542)
425
- 14100 val loss 5.7259
426
- 14100 val perplexity 306.7160
427
- 14100 train 5.803774 (lr=5.0348e-06) (hash(x)=171962802)
428
- 14200 val loss 5.7267
429
- 14200 val perplexity 306.9601
430
- 14200 train 5.801540 (lr=4.9063e-06) (hash(x)=153299913)
431
- 14300 val loss 5.7263
432
- 14300 val perplexity 306.8460
433
- 14300 train 5.652976 (lr=4.7813e-06) (hash(x)=154750565)
434
- 14400 val loss 5.7242
435
- 14400 val perplexity 306.1801
436
- 14400 train 6.001330 (lr=4.6596e-06) (hash(x)=154536694)
437
- 14500 val loss 5.7192
438
- 14500 val perplexity 304.6466
439
- 14500 train 5.773301 (lr=4.5414e-06) (hash(x)=151236383)
440
- 14600 val loss 5.7168
441
- 14600 val perplexity 303.9378
442
- 14600 train 5.725638 (lr=4.4267e-06) (hash(x)=152584272)
443
- 14700 val loss 5.7140
444
- 14700 val perplexity 303.0956
445
- 14700 train 5.713636 (lr=4.3155e-06) (hash(x)=175301826)
446
- 14800 val loss 5.7137
447
- 14800 val perplexity 302.9854
448
- 14800 train 5.628159 (lr=4.2079e-06) (hash(x)=148729408)
449
- 14900 val loss 5.7130
450
- 14900 val perplexity 302.7845
451
- 14900 train 5.891885 (lr=4.1039e-06) (hash(x)=150978283)
452
- 15000 val loss 5.7144
453
- 15000 val perplexity 303.2153
454
- 15000 train 5.661406 (lr=4.0035e-06) (hash(x)=153621389)
455
- 15100 val loss 5.7129
456
- 15100 val perplexity 302.7448
457
- 15100 train 5.637873 (lr=3.9068e-06) (hash(x)=150653793)
458
- 15200 val loss 5.7099
459
- 15200 val perplexity 301.8424
460
- 15200 train 5.894018 (lr=3.8138e-06) (hash(x)=140802934)
461
- 15300 val loss 5.7049
462
- 15300 val perplexity 300.3208
463
- 15300 train 5.675510 (lr=3.7245e-06) (hash(x)=152007556)
464
- 15400 val loss 5.7041
465
- 15400 val perplexity 300.0896
466
- 15400 train 5.662685 (lr=3.6390e-06) (hash(x)=149057446)
467
- 15500 val loss 5.7029
468
- 15500 val perplexity 299.7485
469
- 15500 train 5.633412 (lr=3.5572e-06) (hash(x)=147521774)
470
- 15600 val loss 5.7019
471
- 15600 val perplexity 299.4391
472
- 15600 train 5.676160 (lr=3.4793e-06) (hash(x)=148944405)
473
- 15700 val loss 5.7012
474
- 15700 val perplexity 299.2253
475
- 15700 train 5.650658 (lr=3.4052e-06) (hash(x)=148472532)
476
- 15800 val loss 5.7003
477
- 15800 val perplexity 298.9456
478
- 15800 train 5.472708 (lr=3.3350e-06) (hash(x)=149048780)
479
- 15900 val loss 5.7025
480
- 15900 val perplexity 299.6013
481
- 15900 train 5.669323 (lr=3.2687e-06) (hash(x)=150175778)
482
- 16000 val loss 5.7021
483
- 16000 val perplexity 299.4836
484
- 16000 train 5.492558 (lr=3.2063e-06) (hash(x)=145943831)
485
- 16100 val loss 5.6955
486
- 16100 val perplexity 297.5219
487
- 16100 train 5.860049 (lr=3.1478e-06) (hash(x)=134314842)
488
- 16200 val loss 5.6942
489
- 16200 val perplexity 297.1338
490
- 16200 train 5.722423 (lr=3.0932e-06) (hash(x)=153755135)
491
- 16300 val loss 5.6933
492
- 16300 val perplexity 296.8820
493
- 16300 train 5.815263 (lr=3.0427e-06) (hash(x)=146916346)
494
- 16400 val loss 5.6944
495
- 16400 val perplexity 297.2124
496
- 16400 train 5.611971 (lr=2.9961e-06) (hash(x)=155023643)
497
- 16500 val loss 5.6925
498
- 16500 val perplexity 296.6199
499
- 16500 train 5.773914 (lr=2.9535e-06) (hash(x)=148910191)
500
- 16600 val loss 5.6919
501
- 16600 val perplexity 296.4496
502
- 16600 train 5.614566 (lr=2.9149e-06) (hash(x)=150107746)
503
- 16700 val loss 5.6883
504
- 16700 val perplexity 295.3911
505
- 16700 train 5.811312 (lr=2.8804e-06) (hash(x)=159943976)
506
- 16800 val loss 5.6868
507
- 16800 val perplexity 294.9484
508
- 16800 train 5.690961 (lr=2.8498e-06) (hash(x)=160255226)
509
- 16900 val loss 5.6852
510
- 16900 val perplexity 294.4747
511
- 16900 train 5.677330 (lr=2.8234e-06) (hash(x)=157121826)
512
- 17000 val loss 5.6848
513
- 17000 val perplexity 294.3450
514
- 17000 train 5.815355 (lr=2.8010e-06) (hash(x)=159298029)
515
- 17100 val loss 5.6850
516
- 17100 val perplexity 294.4066
517
- 17100 train 5.642745 (lr=2.7826e-06) (hash(x)=149355903)
518
- 17200 val loss 5.6852
519
- 17200 val perplexity 294.4778
520
- 17200 train 5.502587 (lr=2.7684e-06) (hash(x)=144467909)
521
- 17300 val loss 5.6827
522
- 17300 val perplexity 293.7423
523
- 17300 train 5.851804 (lr=2.7582e-06) (hash(x)=157150350)
524
- 17400 val loss 5.6817
525
- 17400 val perplexity 293.4457
526
- 17400 train 5.723725 (lr=2.7520e-06) (hash(x)=154825212)
527
- 17499 val loss 5.6803
528
- 17499 val perplexity 293.0353
 
1
  max_steps: 17500
2
  0 val loss 11.3107
3
  0 val perplexity 81693.5234
4
+ 0 train 11.308768 (lr=1.6250e-07) (hash(x)=145079536)
5
+ 100 val loss 9.9739
6
+ 100 val perplexity 21458.1914
7
+ 100 train 9.913584 (lr=1.6412e-05) (hash(x)=154745873)
8
+ 200 val loss 9.1007
9
+ 200 val perplexity 8961.2510
10
+ 200 train 9.134552 (lr=3.2500e-05) (hash(x)=155800595)
11
+ 300 val loss 8.1021
12
+ 300 val perplexity 3301.3257
13
+ 300 train 8.068833 (lr=3.2498e-05) (hash(x)=148595389)
14
+ 400 val loss 7.8385
15
+ 400 val perplexity 2536.2754
16
+ 400 train 7.767007 (lr=3.2490e-05) (hash(x)=145606733)
17
+ 500 val loss 7.7050
18
+ 500 val perplexity 2219.4236
19
+ 500 train 7.567992 (lr=3.2478e-05) (hash(x)=138221231)
20
+ 600 val loss 7.6210
21
+ 600 val perplexity 2040.6199
22
+ 600 train 7.637340 (lr=3.2461e-05) (hash(x)=150367139)
23
+ 700 val loss 7.5714
24
+ 700 val perplexity 1941.8647
25
+ 700 train 7.718476 (lr=3.2440e-05) (hash(x)=155579314)
26
+ 800 val loss 7.5225
27
+ 800 val perplexity 1849.2454
28
+ 800 train 7.599151 (lr=3.2413e-05) (hash(x)=155747374)
29
+ 900 val loss 7.4832
30
+ 900 val perplexity 1777.8491
31
+ 900 train 7.677075 (lr=3.2382e-05) (hash(x)=159334575)
32
+ 1000 val loss 7.4560
33
+ 1000 val perplexity 1730.2222
34
+ 1000 train 7.342261 (lr=3.2346e-05) (hash(x)=140604760)
35
+ 1100 val loss 7.4345
36
+ 1100 val perplexity 1693.3530
37
+ 1100 train 7.285876 (lr=3.2305e-05) (hash(x)=146208052)
38
+ 1200 val loss 7.4151
39
+ 1200 val perplexity 1660.9293
40
+ 1200 train 7.338825 (lr=3.2260e-05) (hash(x)=148404734)
41
+ 1300 val loss 7.4038
42
+ 1300 val perplexity 1642.2231
43
+ 1300 train 7.350505 (lr=3.2209e-05) (hash(x)=155681970)
44
+ 1400 val loss 7.3806
45
+ 1400 val perplexity 1604.5261
46
+ 1400 train 7.327487 (lr=3.2154e-05) (hash(x)=148115934)
47
+ 1500 val loss 7.3603
48
+ 1500 val perplexity 1572.3585
49
+ 1500 train 7.493609 (lr=3.2094e-05) (hash(x)=157074034)
50
+ 1600 val loss 7.3380
51
+ 1600 val perplexity 1537.5741
52
+ 1600 train 7.120191 (lr=3.2030e-05) (hash(x)=137464699)
53
+ 1700 val loss 7.3213
54
+ 1700 val perplexity 1512.1512
55
+ 1700 train 7.518990 (lr=3.1961e-05) (hash(x)=166955614)
56
+ 1800 val loss 7.3032
57
+ 1800 val perplexity 1485.0101
58
+ 1800 train 7.143173 (lr=3.1887e-05) (hash(x)=143886042)
59
+ 1900 val loss 7.2869
60
+ 1900 val perplexity 1461.0220
61
+ 1900 train 7.935486 (lr=3.1809e-05) (hash(x)=193610391)
62
+ 2000 val loss 7.2771
63
+ 2000 val perplexity 1446.7656
64
+ 2000 train 7.443820 (lr=3.1726e-05) (hash(x)=163799796)
65
+ 2100 val loss 7.2386
66
+ 2100 val perplexity 1392.1798
67
+ 2100 train 7.208788 (lr=3.1638e-05) (hash(x)=154107339)
68
+ 2200 val loss 7.2311
69
+ 2200 val perplexity 1381.6909
70
+ 2200 train 7.212371 (lr=3.1546e-05) (hash(x)=144592844)
71
+ 2300 val loss 7.2114
72
+ 2300 val perplexity 1354.8523
73
+ 2300 train 7.292489 (lr=3.1449e-05) (hash(x)=154535861)
74
+ 2400 val loss 7.1925
75
+ 2400 val perplexity 1329.3987
76
+ 2400 train 7.940537 (lr=3.1348e-05) (hash(x)=204706354)
77
+ 2500 val loss 7.1954
78
+ 2500 val perplexity 1333.2507
79
+ 2500 train 7.010689 (lr=3.1243e-05) (hash(x)=143783202)
80
+ 2600 val loss 7.1631
81
+ 2600 val perplexity 1290.9364
82
+ 2600 train 7.057330 (lr=3.1133e-05) (hash(x)=150862210)
83
+ 2700 val loss 7.1397
84
+ 2700 val perplexity 1260.9904
85
+ 2700 train 7.215629 (lr=3.1019e-05) (hash(x)=150753426)
86
+ 2800 val loss 7.1199
87
+ 2800 val perplexity 1236.3182
88
+ 2800 train 7.096500 (lr=3.0900e-05) (hash(x)=147766811)
89
+ 2900 val loss 7.0915
90
+ 2900 val perplexity 1201.7019
91
+ 2900 train 7.022207 (lr=3.0777e-05) (hash(x)=151177814)
92
+ 3000 val loss 7.0706
93
+ 3000 val perplexity 1176.8248
94
+ 3000 train 6.900554 (lr=3.0650e-05) (hash(x)=135925327)
95
+ 3100 val loss 7.0520
96
+ 3100 val perplexity 1155.1228
97
+ 3100 train 6.746537 (lr=3.0518e-05) (hash(x)=124842353)
98
+ 3200 val loss 7.0296
99
+ 3200 val perplexity 1129.6343
100
+ 3200 train 7.138424 (lr=3.0383e-05) (hash(x)=160440642)
101
+ 3300 val loss 7.0038
102
+ 3300 val perplexity 1100.7715
103
+ 3300 train 6.907925 (lr=3.0243e-05) (hash(x)=143017131)
104
+ 3400 val loss 6.9814
105
+ 3400 val perplexity 1076.4725
106
+ 3400 train 7.221414 (lr=3.0099e-05) (hash(x)=148143474)
107
+ 3500 val loss 6.9657
108
+ 3500 val perplexity 1059.6819
109
+ 3500 train 6.782108 (lr=2.9952e-05) (hash(x)=148732639)
110
+ 3600 val loss 6.9393
111
+ 3600 val perplexity 1032.0707
112
+ 3600 train 6.931870 (lr=2.9800e-05) (hash(x)=146333803)
113
+ 3700 val loss 6.9195
114
+ 3700 val perplexity 1011.7950
115
+ 3700 train 6.725532 (lr=2.9644e-05) (hash(x)=143611445)
116
+ 3800 val loss 6.8994
117
+ 3800 val perplexity 991.6656
118
+ 3800 train 6.701790 (lr=2.9485e-05) (hash(x)=141272115)
119
+ 3900 val loss 6.8669
120
+ 3900 val perplexity 959.9904
121
+ 3900 train 6.793236 (lr=2.9321e-05) (hash(x)=149161848)
122
+ 4000 val loss 6.8334
123
+ 4000 val perplexity 928.3252
124
+ 4000 train 6.906411 (lr=2.9154e-05) (hash(x)=152036955)
125
+ 4100 val loss 6.8104
126
+ 4100 val perplexity 907.1899
127
+ 4100 train 6.867271 (lr=2.8983e-05) (hash(x)=153260968)
128
+ 4200 val loss 6.7852
129
+ 4200 val perplexity 884.6647
130
+ 4200 train 6.657335 (lr=2.8808e-05) (hash(x)=147629478)
131
+ 4300 val loss 6.7604
132
+ 4300 val perplexity 862.9633
133
+ 4300 train 6.778302 (lr=2.8630e-05) (hash(x)=161701080)
134
+ 4400 val loss 6.7326
135
+ 4400 val perplexity 839.3168
136
+ 4400 train 6.780152 (lr=2.8448e-05) (hash(x)=155290524)
137
+ 4500 val loss 6.7115
138
+ 4500 val perplexity 821.7939
139
+ 4500 train 6.514741 (lr=2.8263e-05) (hash(x)=144726593)
140
+ 4600 val loss 6.6935
141
+ 4600 val perplexity 807.1732
142
+ 4600 train 6.629334 (lr=2.8075e-05) (hash(x)=149517202)
143
+ 4700 val loss 6.6669
144
+ 4700 val perplexity 785.9705
145
+ 4700 train 6.673309 (lr=2.7883e-05) (hash(x)=139403008)
146
+ 4800 val loss 6.6345
147
+ 4800 val perplexity 760.9359
148
+ 4800 train 6.706923 (lr=2.7687e-05) (hash(x)=153387238)
149
+ 4900 val loss 6.6114
150
+ 4900 val perplexity 743.5439
151
+ 4900 train 6.372381 (lr=2.7489e-05) (hash(x)=139881569)
152
+ 5000 val loss 6.5846
153
+ 5000 val perplexity 723.8486
154
+ 5000 train 6.562537 (lr=2.7287e-05) (hash(x)=152602580)
155
+ 5100 val loss 6.5696
156
+ 5100 val perplexity 713.1135
157
+ 5100 train 6.626162 (lr=2.7082e-05) (hash(x)=150598460)
158
+ 5200 val loss 6.5469
159
+ 5200 val perplexity 697.1136
160
+ 5200 train 6.444059 (lr=2.6874e-05) (hash(x)=147660496)
161
+ 5300 val loss 6.5266
162
+ 5300 val perplexity 683.1017
163
+ 5300 train 6.272954 (lr=2.6664e-05) (hash(x)=147693848)
164
+ 5400 val loss 6.5189
165
+ 5400 val perplexity 677.8152
166
+ 5400 train 6.264269 (lr=2.6450e-05) (hash(x)=136048145)
167
+ 5500 val loss 6.4788
168
+ 5500 val perplexity 651.1843
169
+ 5500 train 6.460757 (lr=2.6233e-05) (hash(x)=140313123)
170
+ 5600 val loss 6.4612
171
+ 5600 val perplexity 639.7990
172
+ 5600 train 6.481189 (lr=2.6014e-05) (hash(x)=156997993)
173
+ 5700 val loss 6.4430
174
+ 5700 val perplexity 628.2891
175
+ 5700 train 6.447996 (lr=2.5792e-05) (hash(x)=143513880)
176
+ 5800 val loss 6.4244
177
+ 5800 val perplexity 616.6926
178
+ 5800 train 6.570982 (lr=2.5567e-05) (hash(x)=153736628)
179
+ 5900 val loss 6.4183
180
+ 5900 val perplexity 612.9313
181
+ 5900 train 6.596351 (lr=2.5340e-05) (hash(x)=166385417)
182
+ 6000 val loss 6.3909
183
+ 6000 val perplexity 596.3846
184
+ 6000 train 6.613896 (lr=2.5111e-05) (hash(x)=153216517)
185
+ 6100 val loss 6.3874
186
+ 6100 val perplexity 594.3225
187
+ 6100 train 6.256468 (lr=2.4879e-05) (hash(x)=145387545)
188
+ 6200 val loss 6.3841
189
+ 6200 val perplexity 592.3782
190
+ 6200 train 6.484996 (lr=2.4644e-05) (hash(x)=156306460)
191
+ 6300 val loss 6.3470
192
+ 6300 val perplexity 570.7662
193
+ 6300 train 6.255859 (lr=2.4408e-05) (hash(x)=148610447)
194
+ 6400 val loss 6.3294
195
+ 6400 val perplexity 560.8345
196
+ 6400 train 6.544854 (lr=2.4169e-05) (hash(x)=158343535)
197
+ 6500 val loss 6.3157
198
+ 6500 val perplexity 553.2084
199
+ 6500 train 6.476159 (lr=2.3928e-05) (hash(x)=157742557)
200
+ 6600 val loss 6.3104
201
+ 6600 val perplexity 550.2731
202
+ 6600 train 6.226171 (lr=2.3686e-05) (hash(x)=150457308)
203
+ 6700 val loss 6.2964
204
+ 6700 val perplexity 542.6016
205
+ 6700 train 6.168110 (lr=2.3441e-05) (hash(x)=142426205)
206
+ 6800 val loss 6.2923
207
+ 6800 val perplexity 540.4186
208
+ 6800 train 6.098007 (lr=2.3195e-05) (hash(x)=151522525)
209
+ 6900 val loss 6.2760
210
+ 6900 val perplexity 531.6586
211
+ 6900 train 6.213217 (lr=2.2946e-05) (hash(x)=152029630)
212
+ 7000 val loss 6.2544
213
+ 7000 val perplexity 520.2831
214
+ 7000 train 6.107107 (lr=2.2696e-05) (hash(x)=142978954)
215
+ 7100 val loss 6.2466
216
+ 7100 val perplexity 516.2451
217
+ 7100 train 6.122114 (lr=2.2445e-05) (hash(x)=148064359)
218
+ 7200 val loss 6.2384
219
+ 7200 val perplexity 512.0293
220
+ 7200 train 6.143100 (lr=2.2192e-05) (hash(x)=155771845)
221
+ 7300 val loss 6.2305
222
+ 7300 val perplexity 508.0258
223
+ 7300 train 6.031136 (lr=2.1937e-05) (hash(x)=141639844)
224
+ 7400 val loss 6.2285
225
+ 7400 val perplexity 507.0009
226
+ 7400 train 6.278035 (lr=2.1682e-05) (hash(x)=153466021)
227
+ 7500 val loss 6.2116
228
+ 7500 val perplexity 498.5069
229
+ 7500 train 6.201186 (lr=2.1425e-05) (hash(x)=148843587)
230
+ 7600 val loss 6.1974
231
+ 7600 val perplexity 491.4469
232
+ 7600 train 6.312661 (lr=2.1166e-05) (hash(x)=152053933)
233
+ 7700 val loss 6.1902
234
+ 7700 val perplexity 487.9364
235
+ 7700 train 6.026810 (lr=2.0907e-05) (hash(x)=141564003)
236
+ 7800 val loss 6.1822
237
+ 7800 val perplexity 484.0695
238
+ 7800 train 6.056354 (lr=2.0647e-05) (hash(x)=148617843)
239
+ 7900 val loss 6.1779
240
+ 7900 val perplexity 481.9819
241
+ 7900 train 6.136011 (lr=2.0386e-05) (hash(x)=146417668)
242
+ 8000 val loss 6.1723
243
+ 8000 val perplexity 479.2695
244
+ 8000 train 5.964910 (lr=2.0123e-05) (hash(x)=150165488)
245
+ 8100 val loss 6.1573
246
+ 8100 val perplexity 472.1736
247
+ 8100 train 6.143494 (lr=1.9861e-05) (hash(x)=144818855)
248
+ 8200 val loss 6.1473
249
+ 8200 val perplexity 467.4410
250
+ 8200 train 6.219149 (lr=1.9597e-05) (hash(x)=143074954)
251
+ 8300 val loss 6.1385
252
+ 8300 val perplexity 463.3588
253
+ 8300 train 6.022402 (lr=1.9333e-05) (hash(x)=145172494)
254
+ 8400 val loss 6.1339
255
+ 8400 val perplexity 461.2326
256
+ 8400 train 6.162875 (lr=1.9069e-05) (hash(x)=152284393)
257
+ 8500 val loss 6.1236
258
+ 8500 val perplexity 456.4986
259
+ 8500 train 5.980865 (lr=1.8804e-05) (hash(x)=147044705)
260
+ 8600 val loss 6.1191
261
+ 8600 val perplexity 454.4670
262
+ 8600 train 6.005243 (lr=1.8539e-05) (hash(x)=147762608)
263
+ 8700 val loss 6.1099
264
+ 8700 val perplexity 450.3132
265
+ 8700 train 6.105801 (lr=1.8273e-05) (hash(x)=141994567)
266
+ 8800 val loss 6.1019
267
+ 8800 val perplexity 446.7247
268
+ 8800 train 6.182958 (lr=1.8008e-05) (hash(x)=152552896)
269
+ 8900 val loss 6.0918
270
+ 8900 val perplexity 442.2117
271
+ 8900 train 5.924414 (lr=1.7742e-05) (hash(x)=139714454)
272
+ 9000 val loss 6.0852
273
+ 9000 val perplexity 439.2988
274
+ 9000 train 6.105251 (lr=1.7477e-05) (hash(x)=152274419)
275
+ 9100 val loss 6.0780
276
+ 9100 val perplexity 436.1500
277
+ 9100 train 6.168942 (lr=1.7211e-05) (hash(x)=160536885)
278
+ 9200 val loss 6.0731
279
+ 9200 val perplexity 434.0107
280
+ 9200 train 5.885173 (lr=1.6946e-05) (hash(x)=138386899)
281
+ 9300 val loss 6.0633
282
+ 9300 val perplexity 429.7767
283
+ 9300 train 6.108029 (lr=1.6681e-05) (hash(x)=149957457)
284
+ 9400 val loss 6.0550
285
+ 9400 val perplexity 426.2285
286
+ 9400 train 6.107460 (lr=1.6417e-05) (hash(x)=161671548)
287
+ 9500 val loss 6.0511
288
+ 9500 val perplexity 424.5732
289
+ 9500 train 6.202872 (lr=1.6153e-05) (hash(x)=171857400)
290
+ 9600 val loss 6.0415
291
+ 9600 val perplexity 420.5262
292
+ 9600 train 5.794603 (lr=1.5889e-05) (hash(x)=135378471)
293
+ 9700 val loss 6.0354
294
+ 9700 val perplexity 417.9745
295
+ 9700 train 5.960491 (lr=1.5627e-05) (hash(x)=149514591)
296
+ 9800 val loss 6.0305
297
+ 9800 val perplexity 415.9110
298
+ 9800 train 6.013536 (lr=1.5364e-05) (hash(x)=152679072)
299
+ 9900 val loss 6.0199
300
+ 9900 val perplexity 411.5178
301
+ 9900 train 5.961017 (lr=1.5103e-05) (hash(x)=150415193)
302
+ 10000 val loss 6.0163
303
+ 10000 val perplexity 410.0448
304
+ 10000 train 5.852025 (lr=1.4843e-05) (hash(x)=146910087)
305
+ 10100 val loss 6.0116
306
+ 10100 val perplexity 408.1298
307
+ 10100 train 5.924100 (lr=1.4584e-05) (hash(x)=152091050)
308
+ 10200 val loss 6.0145
309
+ 10200 val perplexity 409.3116
310
+ 10200 train 5.860289 (lr=1.4325e-05) (hash(x)=143101306)
311
+ 10300 val loss 6.0003
312
+ 10300 val perplexity 403.5591
313
+ 10300 train 6.010289 (lr=1.4068e-05) (hash(x)=150803985)
314
+ 10400 val loss 6.0047
315
+ 10400 val perplexity 405.3331
316
+ 10400 train 5.995926 (lr=1.3813e-05) (hash(x)=148671575)
317
+ 10500 val loss 5.9919
318
+ 10500 val perplexity 400.1769
319
+ 10500 train 5.794977 (lr=1.3558e-05) (hash(x)=146312794)
320
+ 10600 val loss 5.9875
321
+ 10600 val perplexity 398.4159
322
+ 10600 train 5.810483 (lr=1.3305e-05) (hash(x)=137878985)
323
+ 10700 val loss 5.9827
324
+ 10700 val perplexity 396.5163
325
+ 10700 train 5.780869 (lr=1.3054e-05) (hash(x)=148897486)
326
+ 10800 val loss 5.9783
327
+ 10800 val perplexity 394.7668
328
+ 10800 train 6.067101 (lr=1.2804e-05) (hash(x)=147219580)
329
+ 10900 val loss 5.9864
330
+ 10900 val perplexity 397.9805
331
+ 10900 train 6.017478 (lr=1.2555e-05) (hash(x)=152048929)
332
+ 11000 val loss 5.9631
333
+ 11000 val perplexity 388.8121
334
+ 11000 train 5.854570 (lr=1.2309e-05) (hash(x)=146417066)
335
+ 11100 val loss 5.9600
336
+ 11100 val perplexity 387.6020
337
+ 11100 train 5.825752 (lr=1.2064e-05) (hash(x)=148784436)
338
+ 11200 val loss 5.9561
339
+ 11200 val perplexity 386.0916
340
+ 11200 train 5.908297 (lr=1.1822e-05) (hash(x)=144721870)
341
+ 11300 val loss 5.9498
342
+ 11300 val perplexity 383.6834
343
+ 11300 train 5.868901 (lr=1.1581e-05) (hash(x)=149442981)
344
+ 11400 val loss 5.9500
345
+ 11400 val perplexity 383.7384
346
+ 11400 train 5.857729 (lr=1.1342e-05) (hash(x)=154481228)
347
+ 11500 val loss 5.9434
348
+ 11500 val perplexity 381.2192
349
+ 11500 train 5.623575 (lr=1.1106e-05) (hash(x)=115164581)
350
+ 11600 val loss 5.9383
351
+ 11600 val perplexity 379.2775
352
+ 11600 train 6.173423 (lr=1.0871e-05) (hash(x)=155048082)
353
+ 11700 val loss 5.9342
354
+ 11700 val perplexity 377.7426
355
+ 11700 train 5.989237 (lr=1.0639e-05) (hash(x)=152123770)
356
+ 11800 val loss 5.9311
357
+ 11800 val perplexity 376.5839
358
+ 11800 train 5.877898 (lr=1.0410e-05) (hash(x)=152705857)
359
+ 11900 val loss 5.9275
360
+ 11900 val perplexity 375.2242
361
+ 11900 train 5.648075 (lr=1.0183e-05) (hash(x)=137392362)
362
+ 12000 val loss 5.9263
363
+ 12000 val perplexity 374.7537
364
+ 12000 train 5.739065 (lr=9.9580e-06) (hash(x)=143492562)
365
+ 12100 val loss 5.9204
366
+ 12100 val perplexity 372.5483
367
+ 12100 train 5.895456 (lr=9.7360e-06) (hash(x)=141825431)
368
+ 12200 val loss 5.9131
369
+ 12200 val perplexity 369.8425
370
+ 12200 train 5.817440 (lr=9.5167e-06) (hash(x)=141774370)
371
+ 12300 val loss 5.9095
372
+ 12300 val perplexity 368.5233
373
+ 12300 train 5.927475 (lr=9.3001e-06) (hash(x)=152995173)
374
+ 12400 val loss 5.9080
375
+ 12400 val perplexity 367.9576
376
+ 12400 train 5.728159 (lr=9.0864e-06) (hash(x)=144703471)
377
+ 12500 val loss 5.9056
378
+ 12500 val perplexity 367.0979
379
+ 12500 train 5.791191 (lr=8.8756e-06) (hash(x)=144866179)
380
+ 12600 val loss 5.9030
381
+ 12600 val perplexity 366.1330
382
+ 12600 train 5.901381 (lr=8.6677e-06) (hash(x)=157019663)
383
+ 12700 val loss 5.9021
384
+ 12700 val perplexity 365.7953
385
+ 12700 train 5.874472 (lr=8.4629e-06) (hash(x)=152872020)
386
+ 12800 val loss 5.8946
387
+ 12800 val perplexity 363.0851
388
+ 12800 train 5.937847 (lr=8.2612e-06) (hash(x)=158975636)
389
+ 12900 val loss 5.8881
390
+ 12900 val perplexity 360.7154
391
+ 12900 train 5.927866 (lr=8.0627e-06) (hash(x)=143495701)
392
+ 13000 val loss 5.8866
393
+ 13000 val perplexity 360.1819
394
+ 13000 train 5.805252 (lr=7.8674e-06) (hash(x)=151940005)
395
+ 13100 val loss 5.8831
396
+ 13100 val perplexity 358.9209
397
+ 13100 train 6.148221 (lr=7.6754e-06) (hash(x)=155920713)
398
+ 13200 val loss 5.8811
399
+ 13200 val perplexity 358.2096
400
+ 13200 train 6.047833 (lr=7.4867e-06) (hash(x)=152145878)
401
+ 13300 val loss 5.8787
402
+ 13300 val perplexity 357.3310
403
+ 13300 train 5.667600 (lr=7.3015e-06) (hash(x)=134141709)
404
+ 13400 val loss 5.8799
405
+ 13400 val perplexity 357.7690
406
+ 13400 train 5.797377 (lr=7.1198e-06) (hash(x)=146096299)
407
+ 13500 val loss 5.8794
408
+ 13500 val perplexity 357.5978
409
+ 13500 train 5.634058 (lr=6.9416e-06) (hash(x)=144011431)
410
+ 13600 val loss 5.8686
411
+ 13600 val perplexity 353.7581
412
+ 13600 train 6.117513 (lr=6.7670e-06) (hash(x)=163950932)
413
+ 13700 val loss 5.8664
414
+ 13700 val perplexity 352.9912
415
+ 13700 train 6.019842 (lr=6.5961e-06) (hash(x)=156652406)
416
+ 13800 val loss 5.8622
417
+ 13800 val perplexity 351.4952
418
+ 13800 train 5.771851 (lr=6.4289e-06) (hash(x)=145753166)
419
+ 13900 val loss 5.8598
420
+ 13900 val perplexity 350.6560
421
+ 13900 train 5.734013 (lr=6.2655e-06) (hash(x)=147065551)
422
+ 14000 val loss 5.8566
423
+ 14000 val perplexity 349.5451
424
+ 14000 train 6.318323 (lr=6.1059e-06) (hash(x)=179077542)
425
+ 14100 val loss 5.8558
426
+ 14100 val perplexity 349.2574
427
+ 14100 train 5.933926 (lr=5.9502e-06) (hash(x)=171962802)
428
+ 14200 val loss 5.8544
429
+ 14200 val perplexity 348.7620
430
+ 14200 train 5.915273 (lr=5.7984e-06) (hash(x)=153299913)
431
+ 14300 val loss 5.8551
432
+ 14300 val perplexity 349.0220
433
+ 14300 train 5.784843 (lr=5.6506e-06) (hash(x)=154750565)
434
+ 14400 val loss 5.8523
435
+ 14400 val perplexity 348.0174
436
+ 14400 train 6.138902 (lr=5.5068e-06) (hash(x)=154536694)
437
+ 14500 val loss 5.8460
438
+ 14500 val perplexity 345.8539
439
+ 14500 train 5.895782 (lr=5.3671e-06) (hash(x)=151236383)
440
+ 14600 val loss 5.8431
441
+ 14600 val perplexity 344.8444
442
+ 14600 train 5.847693 (lr=5.2316e-06) (hash(x)=152584272)
443
+ 14700 val loss 5.8414
444
+ 14700 val perplexity 344.2503
445
+ 14700 train 5.875105 (lr=5.1002e-06) (hash(x)=175301826)
446
+ 14800 val loss 5.8404
447
+ 14800 val perplexity 343.9079
448
+ 14800 train 5.767904 (lr=4.9730e-06) (hash(x)=148729408)
449
+ 14900 val loss 5.8386
450
+ 14900 val perplexity 343.3042
451
+ 14900 train 6.004839 (lr=4.8501e-06) (hash(x)=150978283)
452
+ 15000 val loss 5.8388
453
+ 15000 val perplexity 343.3620
454
+ 15000 train 5.784351 (lr=4.7314e-06) (hash(x)=153621389)
455
+ 15100 val loss 5.8389
456
+ 15100 val perplexity 343.3981
457
+ 15100 train 5.754816 (lr=4.6171e-06) (hash(x)=150653793)
458
+ 15200 val loss 5.8352
459
+ 15200 val perplexity 342.1168
460
+ 15200 train 6.008870 (lr=4.5072e-06) (hash(x)=140802934)
461
+ 15300 val loss 5.8295
462
+ 15300 val perplexity 340.1902
463
+ 15300 train 5.792707 (lr=4.4017e-06) (hash(x)=152007556)
464
+ 15400 val loss 5.8288
465
+ 15400 val perplexity 339.9514
466
+ 15400 train 5.779943 (lr=4.3006e-06) (hash(x)=149057446)
467
+ 15500 val loss 5.8278
468
+ 15500 val perplexity 339.6246
469
+ 15500 train 5.757745 (lr=4.2040e-06) (hash(x)=147521774)
470
+ 15600 val loss 5.8260
471
+ 15600 val perplexity 338.9973
472
+ 15600 train 5.794466 (lr=4.1119e-06) (hash(x)=148944405)
473
+ 15700 val loss 5.8244
474
+ 15700 val perplexity 338.4497
475
+ 15700 train 5.771770 (lr=4.0244e-06) (hash(x)=148472532)
476
+ 15800 val loss 5.8235
477
+ 15800 val perplexity 338.1595
478
+ 15800 train 5.611291 (lr=3.9414e-06) (hash(x)=149048780)
479
+ 15900 val loss 5.8251
480
+ 15900 val perplexity 338.7098
481
+ 15900 train 5.776637 (lr=3.8630e-06) (hash(x)=150175778)
482
+ 16000 val loss 5.8256
483
+ 16000 val perplexity 338.8643
484
+ 16000 train 5.623484 (lr=3.7892e-06) (hash(x)=145943831)
485
+ 16100 val loss 5.8186
486
+ 16100 val perplexity 336.4933
487
+ 16100 train 5.962903 (lr=3.7201e-06) (hash(x)=134314842)
488
+ 16200 val loss 5.8169
489
+ 16200 val perplexity 335.9197
490
+ 16200 train 5.832172 (lr=3.6556e-06) (hash(x)=153755135)
491
+ 16300 val loss 5.8167
492
+ 16300 val perplexity 335.8620
493
+ 16300 train 5.944980 (lr=3.5959e-06) (hash(x)=146916346)
494
+ 16400 val loss 5.8162
495
+ 16400 val perplexity 335.6877
496
+ 16400 train 5.738881 (lr=3.5408e-06) (hash(x)=155023643)
497
+ 16500 val loss 5.8135
498
+ 16500 val perplexity 334.7997
499
+ 16500 train 5.884605 (lr=3.4905e-06) (hash(x)=148910191)
500
+ 16600 val loss 5.8129
501
+ 16600 val perplexity 334.5828
502
+ 16600 train 5.725785 (lr=3.4449e-06) (hash(x)=150107746)
503
+ 16700 val loss 5.8094
504
+ 16700 val perplexity 333.4117
505
+ 16700 train 5.943489 (lr=3.4041e-06) (hash(x)=159943976)
506
+ 16800 val loss 5.8079
507
+ 16800 val perplexity 332.9350
508
+ 16800 train 5.812941 (lr=3.3680e-06) (hash(x)=160255226)
509
+ 16900 val loss 5.8058
510
+ 16900 val perplexity 332.2311
511
+ 16900 train 5.790132 (lr=3.3367e-06) (hash(x)=157121826)
512
+ 17000 val loss 5.8052
513
+ 17000 val perplexity 332.0128
514
+ 17000 train 5.929333 (lr=3.3102e-06) (hash(x)=159298029)
515
+ 17100 val loss 5.8048
516
+ 17100 val perplexity 331.8996
517
+ 17100 train 5.756987 (lr=3.2886e-06) (hash(x)=149355903)
518
+ 17200 val loss 5.8050
519
+ 17200 val perplexity 331.9643
520
+ 17200 train 5.621988 (lr=3.2717e-06) (hash(x)=144467909)
521
+ 17300 val loss 5.8022
522
+ 17300 val perplexity 331.0107
523
+ 17300 train 5.966762 (lr=3.2596e-06) (hash(x)=157150350)
524
+ 17400 val loss 5.7999
525
+ 17400 val perplexity 330.2749
526
+ 17400 train 5.854440 (lr=3.2524e-06) (hash(x)=154825212)
527
+ 17499 val loss 5.7990
528
+ 17499 val perplexity 329.9840
attention_kindselective_n_heads4_seed1341/model_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1c7cd902b46cbc421e2c48ee77f0e0aa4b5befdcf357d1af96e2d5e9ccd48c45
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d70158dff7c77ab9d959dd129b842afbfd51eb0b1e97217f34de668a673d9987
3
  size 92843394
attention_kindselective_n_heads4_seed1341/optimizer_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4a0cb68dbad563d91d661387bf39ace20ba219489270a1c9461a784234115623
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d94c5126d81ac2e77872dca0b06969c284caea2576d8b5117b39e6cda2322556
3
  size 179406214