andrew-healey commited on
Commit
6c7f8aa
·
verified ·
1 Parent(s): 9162e39

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1338/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1338", "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": 1338, "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_1338", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1338", "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": 1338, "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_1338", "n_embd": 256}
attention_kindselective_n_heads4_seed1338/log2.txt CHANGED
@@ -1,528 +1,528 @@
1
  max_steps: 17500
2
  0 val loss 11.2663
3
  0 val perplexity 78147.0000
4
- 0 train 11.263341 (lr=1.3750e-07) (hash(x)=150327452)
5
- 100 val loss 9.9216
6
- 100 val perplexity 20365.0898
7
- 100 train 9.932128 (lr=1.3888e-05) (hash(x)=166441190)
8
- 200 val loss 9.2026
9
- 200 val perplexity 9923.1172
10
- 200 train 9.311575 (lr=2.7500e-05) (hash(x)=166780046)
11
- 300 val loss 8.1964
12
- 300 val perplexity 3627.8376
13
- 300 train 8.155242 (lr=2.7498e-05) (hash(x)=159835303)
14
- 400 val loss 7.7685
15
- 400 val perplexity 2365.0269
16
- 400 train 7.570842 (lr=2.7492e-05) (hash(x)=155040610)
17
- 500 val loss 7.6098
18
- 500 val perplexity 2017.9415
19
- 500 train 7.360526 (lr=2.7482e-05) (hash(x)=130190460)
20
- 600 val loss 7.5112
21
- 600 val perplexity 1828.4420
22
- 600 train 7.535985 (lr=2.7467e-05) (hash(x)=155504036)
23
- 700 val loss 7.4475
24
- 700 val perplexity 1715.5283
25
- 700 train 7.301879 (lr=2.7449e-05) (hash(x)=137347213)
26
- 800 val loss 7.3965
27
- 800 val perplexity 1630.2454
28
- 800 train 7.251807 (lr=2.7427e-05) (hash(x)=143823248)
29
- 900 val loss 7.3470
30
- 900 val perplexity 1551.5825
31
- 900 train 7.458832 (lr=2.7400e-05) (hash(x)=156260416)
32
- 1000 val loss 7.3139
33
- 1000 val perplexity 1501.0842
34
- 1000 train 7.281650 (lr=2.7370e-05) (hash(x)=143734685)
35
- 1100 val loss 7.2764
36
- 1100 val perplexity 1445.7637
37
- 1100 train 7.209399 (lr=2.7335e-05) (hash(x)=160013925)
38
- 1200 val loss 7.2480
39
- 1200 val perplexity 1405.2816
40
- 1200 train 6.993395 (lr=2.7297e-05) (hash(x)=150678249)
41
- 1300 val loss 7.2195
42
- 1300 val perplexity 1365.8458
43
- 1300 train 7.003422 (lr=2.7254e-05) (hash(x)=149073315)
44
- 1400 val loss 7.1645
45
- 1400 val perplexity 1292.6741
46
- 1400 train 7.483765 (lr=2.7207e-05) (hash(x)=175802021)
47
- 1500 val loss 7.1143
48
- 1500 val perplexity 1229.3901
49
- 1500 train 7.375745 (lr=2.7157e-05) (hash(x)=171034639)
50
- 1600 val loss 7.0674
51
- 1600 val perplexity 1173.0409
52
- 1600 train 7.270476 (lr=2.7102e-05) (hash(x)=158681215)
53
- 1700 val loss 7.0231
54
- 1700 val perplexity 1122.2725
55
- 1700 train 6.961975 (lr=2.7044e-05) (hash(x)=152116061)
56
- 1800 val loss 6.9929
57
- 1800 val perplexity 1088.8434
58
- 1800 train 6.930839 (lr=2.6981e-05) (hash(x)=146108145)
59
- 1900 val loss 6.9646
60
- 1900 val perplexity 1058.4460
61
- 1900 train 6.793094 (lr=2.6915e-05) (hash(x)=147598108)
62
- 2000 val loss 6.9345
63
- 2000 val perplexity 1027.1322
64
- 2000 train 6.798426 (lr=2.6845e-05) (hash(x)=154996086)
65
- 2100 val loss 6.9084
66
- 2100 val perplexity 1000.6855
67
- 2100 train 6.694521 (lr=2.6771e-05) (hash(x)=153396183)
68
- 2200 val loss 6.8577
69
- 2200 val perplexity 951.1731
70
- 2200 train 6.844943 (lr=2.6693e-05) (hash(x)=153885445)
71
- 2300 val loss 6.8186
72
- 2300 val perplexity 914.6971
73
- 2300 train 6.820184 (lr=2.6611e-05) (hash(x)=159666385)
74
- 2400 val loss 6.7737
75
- 2400 val perplexity 874.5115
76
- 2400 train 6.748491 (lr=2.6525e-05) (hash(x)=142353087)
77
- 2500 val loss 6.7371
78
- 2500 val perplexity 843.0906
79
- 2500 train 6.756777 (lr=2.6436e-05) (hash(x)=146491718)
80
- 2600 val loss 6.7059
81
- 2600 val perplexity 817.2048
82
- 2600 train 6.631540 (lr=2.6343e-05) (hash(x)=150750353)
83
- 2700 val loss 6.6686
84
- 2700 val perplexity 787.2690
85
- 2700 train 6.380807 (lr=2.6246e-05) (hash(x)=129849193)
86
- 2800 val loss 6.6495
87
- 2800 val perplexity 772.4222
88
- 2800 train 6.494568 (lr=2.6146e-05) (hash(x)=152767913)
89
- 2900 val loss 6.6275
90
- 2900 val perplexity 755.5663
91
- 2900 train 6.406610 (lr=2.6042e-05) (hash(x)=146531140)
92
- 3000 val loss 6.5894
93
- 3000 val perplexity 727.3140
94
- 3000 train 6.665761 (lr=2.5934e-05) (hash(x)=151562048)
95
- 3100 val loss 6.5494
96
- 3100 val perplexity 698.8493
97
- 3100 train 6.516375 (lr=2.5823e-05) (hash(x)=146001424)
98
- 3200 val loss 6.5272
99
- 3200 val perplexity 683.4663
100
- 3200 train 6.600415 (lr=2.5709e-05) (hash(x)=166486165)
101
- 3300 val loss 6.4946
102
- 3300 val perplexity 661.5607
103
- 3300 train 6.426333 (lr=2.5590e-05) (hash(x)=150866680)
104
- 3400 val loss 6.4801
105
- 3400 val perplexity 652.0275
106
- 3400 train 6.374853 (lr=2.5469e-05) (hash(x)=143900419)
107
- 3500 val loss 6.4553
108
- 3500 val perplexity 636.0541
109
- 3500 train 6.270348 (lr=2.5344e-05) (hash(x)=148845794)
110
- 3600 val loss 6.4393
111
- 3600 val perplexity 625.9676
112
- 3600 train 6.269843 (lr=2.5215e-05) (hash(x)=145667796)
113
- 3700 val loss 6.4257
114
- 3700 val perplexity 617.5016
115
- 3700 train 6.442654 (lr=2.5083e-05) (hash(x)=163563851)
116
- 3800 val loss 6.4055
117
- 3800 val perplexity 605.1692
118
- 3800 train 6.348926 (lr=2.4948e-05) (hash(x)=147488689)
119
- 3900 val loss 6.3750
120
- 3900 val perplexity 586.9639
121
- 3900 train 6.376982 (lr=2.4810e-05) (hash(x)=148186608)
122
- 4000 val loss 6.3525
123
- 4000 val perplexity 573.9432
124
- 4000 train 6.228961 (lr=2.4669e-05) (hash(x)=142970187)
125
- 4100 val loss 6.3316
126
- 4100 val perplexity 562.0504
127
- 4100 train 6.424266 (lr=2.4524e-05) (hash(x)=141584883)
128
- 4200 val loss 6.3206
129
- 4200 val perplexity 555.9155
130
- 4200 train 6.121674 (lr=2.4376e-05) (hash(x)=145664585)
131
- 4300 val loss 6.3036
132
- 4300 val perplexity 546.5199
133
- 4300 train 6.176545 (lr=2.4226e-05) (hash(x)=143736499)
134
- 4400 val loss 6.3040
135
- 4400 val perplexity 546.7621
136
- 4400 train 6.126653 (lr=2.4072e-05) (hash(x)=151883322)
137
- 4500 val loss 6.2887
138
- 4500 val perplexity 538.4496
139
- 4500 train 6.172879 (lr=2.3915e-05) (hash(x)=153904871)
140
- 4600 val loss 6.2713
141
- 4600 val perplexity 529.1572
142
- 4600 train 6.360380 (lr=2.3755e-05) (hash(x)=154893521)
143
- 4700 val loss 6.2472
144
- 4700 val perplexity 516.5841
145
- 4700 train 6.304053 (lr=2.3593e-05) (hash(x)=152323949)
146
- 4800 val loss 6.2306
147
- 4800 val perplexity 508.0774
148
- 4800 train 6.176684 (lr=2.3428e-05) (hash(x)=154104619)
149
- 4900 val loss 6.2180
150
- 4900 val perplexity 501.6885
151
- 4900 train 6.347137 (lr=2.3260e-05) (hash(x)=146311426)
152
- 5000 val loss 6.2067
153
- 5000 val perplexity 496.0761
154
- 5000 train 6.195480 (lr=2.3089e-05) (hash(x)=156741847)
155
- 5100 val loss 6.1953
156
- 5100 val perplexity 490.4566
157
- 5100 train 5.973955 (lr=2.2916e-05) (hash(x)=142086346)
158
- 5200 val loss 6.1901
159
- 5200 val perplexity 487.8952
160
- 5200 train 5.958094 (lr=2.2740e-05) (hash(x)=150265428)
161
- 5300 val loss 6.1848
162
- 5300 val perplexity 485.3176
163
- 5300 train 6.061728 (lr=2.2561e-05) (hash(x)=151339108)
164
- 5400 val loss 6.1701
165
- 5400 val perplexity 478.2155
166
- 5400 train 6.146971 (lr=2.2381e-05) (hash(x)=154654372)
167
- 5500 val loss 6.1531
168
- 5500 val perplexity 470.1668
169
- 5500 train 6.165415 (lr=2.2197e-05) (hash(x)=150575051)
170
- 5600 val loss 6.1412
171
- 5600 val perplexity 464.6232
172
- 5600 train 6.048434 (lr=2.2012e-05) (hash(x)=140396423)
173
- 5700 val loss 6.1312
174
- 5700 val perplexity 459.9658
175
- 5700 train 5.991282 (lr=2.1824e-05) (hash(x)=144678758)
176
- 5800 val loss 6.1224
177
- 5800 val perplexity 455.9356
178
- 5800 train 6.170418 (lr=2.1634e-05) (hash(x)=151992743)
179
- 5900 val loss 6.1131
180
- 5900 val perplexity 451.7320
181
- 5900 train 5.902652 (lr=2.1442e-05) (hash(x)=144396927)
182
- 6000 val loss 6.1034
183
- 6000 val perplexity 447.3857
184
- 6000 train 6.065875 (lr=2.1248e-05) (hash(x)=165478625)
185
- 6100 val loss 6.1096
186
- 6100 val perplexity 450.1805
187
- 6100 train 5.843530 (lr=2.1051e-05) (hash(x)=147088621)
188
- 6200 val loss 6.0995
189
- 6200 val perplexity 445.6127
190
- 6200 train 5.866304 (lr=2.0853e-05) (hash(x)=140794994)
191
- 6300 val loss 6.0785
192
- 6300 val perplexity 436.3955
193
- 6300 train 6.008928 (lr=2.0653e-05) (hash(x)=134780906)
194
- 6400 val loss 6.0650
195
- 6400 val perplexity 430.5202
196
- 6400 train 6.043757 (lr=2.0451e-05) (hash(x)=149023655)
197
- 6500 val loss 6.0570
198
- 6500 val perplexity 427.0772
199
- 6500 train 5.909537 (lr=2.0247e-05) (hash(x)=147497796)
200
- 6600 val loss 6.0540
201
- 6600 val perplexity 425.8057
202
- 6600 train 5.906900 (lr=2.0042e-05) (hash(x)=152902689)
203
- 6700 val loss 6.0523
204
- 6700 val perplexity 425.0714
205
- 6700 train 6.086189 (lr=1.9835e-05) (hash(x)=153846046)
206
- 6800 val loss 6.0303
207
- 6800 val perplexity 415.8329
208
- 6800 train 6.160307 (lr=1.9626e-05) (hash(x)=158512738)
209
- 6900 val loss 6.0207
210
- 6900 val perplexity 411.8505
211
- 6900 train 6.544151 (lr=1.9416e-05) (hash(x)=156849968)
212
- 7000 val loss 6.0165
213
- 7000 val perplexity 410.1386
214
- 7000 train 5.866353 (lr=1.9205e-05) (hash(x)=142395855)
215
- 7100 val loss 6.0088
216
- 7100 val perplexity 406.9989
217
- 7100 train 5.857893 (lr=1.8992e-05) (hash(x)=147114884)
218
- 7200 val loss 5.9996
219
- 7200 val perplexity 403.2617
220
- 7200 train 6.032767 (lr=1.8778e-05) (hash(x)=156979839)
221
- 7300 val loss 5.9959
222
- 7300 val perplexity 401.7586
223
- 7300 train 5.781147 (lr=1.8562e-05) (hash(x)=145584373)
224
- 7400 val loss 5.9900
225
- 7400 val perplexity 399.4259
226
- 7400 train 5.729474 (lr=1.8346e-05) (hash(x)=141508204)
227
- 7500 val loss 5.9780
228
- 7500 val perplexity 394.6485
229
- 7500 train 6.012234 (lr=1.8128e-05) (hash(x)=148803965)
230
- 7600 val loss 5.9718
231
- 7600 val perplexity 392.1917
232
- 7600 train 6.031247 (lr=1.7910e-05) (hash(x)=151019676)
233
- 7700 val loss 5.9586
234
- 7700 val perplexity 387.0653
235
- 7700 train 6.031113 (lr=1.7691e-05) (hash(x)=143155750)
236
- 7800 val loss 5.9556
237
- 7800 val perplexity 385.9111
238
- 7800 train 5.981885 (lr=1.7470e-05) (hash(x)=152569653)
239
- 7900 val loss 5.9519
240
- 7900 val perplexity 384.4711
241
- 7900 train 5.823013 (lr=1.7249e-05) (hash(x)=143519455)
242
- 8000 val loss 5.9416
243
- 8000 val perplexity 380.5505
244
- 8000 train 6.052700 (lr=1.7028e-05) (hash(x)=161180944)
245
- 8100 val loss 5.9420
246
- 8100 val perplexity 380.7064
247
- 8100 train 5.966490 (lr=1.6805e-05) (hash(x)=154107345)
248
- 8200 val loss 5.9371
249
- 8200 val perplexity 378.8401
250
- 8200 train 5.968087 (lr=1.6582e-05) (hash(x)=152486517)
251
- 8300 val loss 5.9261
252
- 8300 val perplexity 374.6855
253
- 8300 train 5.935761 (lr=1.6359e-05) (hash(x)=156167749)
254
- 8400 val loss 5.9156
255
- 8400 val perplexity 370.7589
256
- 8400 train 6.000555 (lr=1.6135e-05) (hash(x)=149155006)
257
- 8500 val loss 5.9067
258
- 8500 val perplexity 367.4887
259
- 8500 train 5.864130 (lr=1.5911e-05) (hash(x)=147844390)
260
- 8600 val loss 5.9047
261
- 8600 val perplexity 366.7408
262
- 8600 train 6.157965 (lr=1.5687e-05) (hash(x)=165753320)
263
- 8700 val loss 5.8990
264
- 8700 val perplexity 364.6836
265
- 8700 train 5.683146 (lr=1.5462e-05) (hash(x)=146079979)
266
- 8800 val loss 5.8990
267
- 8800 val perplexity 364.6555
268
- 8800 train 6.090808 (lr=1.5237e-05) (hash(x)=172259509)
269
- 8900 val loss 5.8907
270
- 8900 val perplexity 361.6673
271
- 8900 train 5.573002 (lr=1.5013e-05) (hash(x)=145148314)
272
- 9000 val loss 5.8871
273
- 9000 val perplexity 360.3432
274
- 9000 train 5.803849 (lr=1.4788e-05) (hash(x)=144250633)
275
- 9100 val loss 5.8804
276
- 9100 val perplexity 357.9615
277
- 9100 train 5.972807 (lr=1.4563e-05) (hash(x)=157219797)
278
- 9200 val loss 5.8735
279
- 9200 val perplexity 355.4825
280
- 9200 train 5.910276 (lr=1.4339e-05) (hash(x)=142743778)
281
- 9300 val loss 5.8653
282
- 9300 val perplexity 352.5787
283
- 9300 train 5.783849 (lr=1.4115e-05) (hash(x)=139669771)
284
- 9400 val loss 5.8574
285
- 9400 val perplexity 349.8001
286
- 9400 train 5.884781 (lr=1.3891e-05) (hash(x)=145916843)
287
- 9500 val loss 5.8574
288
- 9500 val perplexity 349.8114
289
- 9500 train 5.776641 (lr=1.3668e-05) (hash(x)=150196125)
290
- 9600 val loss 5.8502
291
- 9600 val perplexity 347.2911
292
- 9600 train 6.161810 (lr=1.3445e-05) (hash(x)=160041419)
293
- 9700 val loss 5.8489
294
- 9700 val perplexity 346.8675
295
- 9700 train 5.629546 (lr=1.3222e-05) (hash(x)=139931627)
296
- 9800 val loss 5.8436
297
- 9800 val perplexity 345.0097
298
- 9800 train 5.823668 (lr=1.3001e-05) (hash(x)=150370792)
299
- 9900 val loss 5.8368
300
- 9900 val perplexity 342.6939
301
- 9900 train 5.680959 (lr=1.2780e-05) (hash(x)=153014886)
302
- 10000 val loss 5.8341
303
- 10000 val perplexity 341.7490
304
- 10000 train 5.737649 (lr=1.2559e-05) (hash(x)=141915265)
305
- 10100 val loss 5.8270
306
- 10100 val perplexity 339.3311
307
- 10100 train 6.341434 (lr=1.2340e-05) (hash(x)=197770952)
308
- 10200 val loss 5.8213
309
- 10200 val perplexity 337.4204
310
- 10200 train 5.808439 (lr=1.2122e-05) (hash(x)=156806005)
311
- 10300 val loss 5.8179
312
- 10300 val perplexity 336.2575
313
- 10300 train 5.622517 (lr=1.1904e-05) (hash(x)=145378216)
314
- 10400 val loss 5.8126
315
- 10400 val perplexity 334.4817
316
- 10400 train 5.716724 (lr=1.1688e-05) (hash(x)=145125407)
317
- 10500 val loss 5.8088
318
- 10500 val perplexity 333.2034
319
- 10500 train 5.622625 (lr=1.1472e-05) (hash(x)=147553745)
320
- 10600 val loss 5.8047
321
- 10600 val perplexity 331.8625
322
- 10600 train 5.440615 (lr=1.1258e-05) (hash(x)=134894889)
323
- 10700 val loss 5.7991
324
- 10700 val perplexity 330.0065
325
- 10700 train 5.726994 (lr=1.1045e-05) (hash(x)=151041040)
326
- 10800 val loss 5.7921
327
- 10800 val perplexity 327.6916
328
- 10800 train 5.724377 (lr=1.0834e-05) (hash(x)=145685829)
329
- 10900 val loss 5.7874
330
- 10900 val perplexity 326.1582
331
- 10900 train 5.860260 (lr=1.0624e-05) (hash(x)=156000716)
332
- 11000 val loss 5.7849
333
- 11000 val perplexity 325.3531
334
- 11000 train 5.782057 (lr=1.0415e-05) (hash(x)=149858163)
335
- 11100 val loss 5.7831
336
- 11100 val perplexity 324.7552
337
- 11100 train 6.055070 (lr=1.0208e-05) (hash(x)=164873575)
338
- 11200 val loss 5.7819
339
- 11200 val perplexity 324.3619
340
- 11200 train 5.665148 (lr=1.0003e-05) (hash(x)=156370069)
341
- 11300 val loss 5.7809
342
- 11300 val perplexity 324.0505
343
- 11300 train 5.885826 (lr=9.7991e-06) (hash(x)=160356892)
344
- 11400 val loss 5.7694
345
- 11400 val perplexity 320.3412
346
- 11400 train 5.853624 (lr=9.5972e-06) (hash(x)=158955430)
347
- 11500 val loss 5.7655
348
- 11500 val perplexity 319.0882
349
- 11500 train 5.735012 (lr=9.3970e-06) (hash(x)=146598377)
350
- 11600 val loss 5.7783
351
- 11600 val perplexity 323.2089
352
- 11600 train 5.920930 (lr=9.1988e-06) (hash(x)=156045795)
353
- 11700 val loss 5.7633
354
- 11700 val perplexity 318.4037
355
- 11700 train 5.620872 (lr=9.0025e-06) (hash(x)=143963334)
356
- 11800 val loss 5.7613
357
- 11800 val perplexity 317.7613
358
- 11800 train 5.593094 (lr=8.8082e-06) (hash(x)=145831579)
359
- 11900 val loss 5.7564
360
- 11900 val perplexity 316.1924
361
- 11900 train 5.932192 (lr=8.6160e-06) (hash(x)=165154141)
362
- 12000 val loss 5.7496
363
- 12000 val perplexity 314.0803
364
- 12000 train 5.828736 (lr=8.4260e-06) (hash(x)=160373794)
365
- 12100 val loss 5.7464
366
- 12100 val perplexity 313.0729
367
- 12100 train 5.533817 (lr=8.2381e-06) (hash(x)=141476346)
368
- 12200 val loss 5.7444
369
- 12200 val perplexity 312.4352
370
- 12200 train 6.004211 (lr=8.0526e-06) (hash(x)=164508058)
371
- 12300 val loss 5.7431
372
- 12300 val perplexity 312.0411
373
- 12300 train 5.710019 (lr=7.8694e-06) (hash(x)=140407664)
374
- 12400 val loss 5.7408
375
- 12400 val perplexity 311.3231
376
- 12400 train 5.591258 (lr=7.6885e-06) (hash(x)=149526189)
377
- 12500 val loss 5.7348
378
- 12500 val perplexity 309.4465
379
- 12500 train 5.577487 (lr=7.5101e-06) (hash(x)=142060916)
380
- 12600 val loss 5.7295
381
- 12600 val perplexity 307.8142
382
- 12600 train 5.919009 (lr=7.3342e-06) (hash(x)=168650848)
383
- 12700 val loss 5.7286
384
- 12700 val perplexity 307.5334
385
- 12700 train 5.749731 (lr=7.1609e-06) (hash(x)=154353018)
386
- 12800 val loss 5.7300
387
- 12800 val perplexity 307.9663
388
- 12800 train 5.888818 (lr=6.9903e-06) (hash(x)=156115265)
389
- 12900 val loss 5.7250
390
- 12900 val perplexity 306.4193
391
- 12900 train 5.652087 (lr=6.8223e-06) (hash(x)=143378175)
392
- 13000 val loss 5.7236
393
- 13000 val perplexity 306.0145
394
- 13000 train 5.839179 (lr=6.6570e-06) (hash(x)=166124864)
395
- 13100 val loss 5.7219
396
- 13100 val perplexity 305.4771
397
- 13100 train 5.596782 (lr=6.4945e-06) (hash(x)=146615385)
398
- 13200 val loss 5.7215
399
- 13200 val perplexity 305.3489
400
- 13200 train 5.621416 (lr=6.3349e-06) (hash(x)=149236047)
401
- 13300 val loss 5.7149
402
- 13300 val perplexity 303.3439
403
- 13300 train 5.648214 (lr=6.1782e-06) (hash(x)=151346972)
404
- 13400 val loss 5.7142
405
- 13400 val perplexity 303.1342
406
- 13400 train 5.801619 (lr=6.0244e-06) (hash(x)=159167093)
407
- 13500 val loss 5.7126
408
- 13500 val perplexity 302.6487
409
- 13500 train 5.428577 (lr=5.8737e-06) (hash(x)=135054650)
410
- 13600 val loss 5.7108
411
- 13600 val perplexity 302.1104
412
- 13600 train 5.596169 (lr=5.7259e-06) (hash(x)=151033927)
413
- 13700 val loss 5.7104
414
- 13700 val perplexity 301.9891
415
- 13700 train 5.409321 (lr=5.5813e-06) (hash(x)=141119172)
416
- 13800 val loss 5.7096
417
- 13800 val perplexity 301.7523
418
- 13800 train 5.430826 (lr=5.4398e-06) (hash(x)=144197766)
419
- 13900 val loss 5.7053
420
- 13900 val perplexity 300.4471
421
- 13900 train 5.645763 (lr=5.3016e-06) (hash(x)=145148158)
422
- 14000 val loss 5.7019
423
- 14000 val perplexity 299.4242
424
- 14000 train 6.197217 (lr=5.1665e-06) (hash(x)=179068751)
425
- 14100 val loss 5.7002
426
- 14100 val perplexity 298.9149
427
- 14100 train 5.569189 (lr=5.0348e-06) (hash(x)=144988373)
428
- 14200 val loss 5.6993
429
- 14200 val perplexity 298.6475
430
- 14200 train 5.623942 (lr=4.9063e-06) (hash(x)=133379696)
431
- 14300 val loss 5.6992
432
- 14300 val perplexity 298.6255
433
- 14300 train 5.580496 (lr=4.7813e-06) (hash(x)=149883422)
434
- 14400 val loss 5.6996
435
- 14400 val perplexity 298.7478
436
- 14400 train 5.567074 (lr=4.6596e-06) (hash(x)=145709198)
437
- 14500 val loss 5.6944
438
- 14500 val perplexity 297.2122
439
- 14500 train 5.709787 (lr=4.5414e-06) (hash(x)=148016579)
440
- 14600 val loss 5.6922
441
- 14600 val perplexity 296.5331
442
- 14600 train 5.658023 (lr=4.4267e-06) (hash(x)=150218222)
443
- 14700 val loss 5.6919
444
- 14700 val perplexity 296.4617
445
- 14700 train 5.611262 (lr=4.3155e-06) (hash(x)=142258737)
446
- 14800 val loss 5.6890
447
- 14800 val perplexity 295.5974
448
- 14800 train 5.584694 (lr=4.2079e-06) (hash(x)=147628003)
449
- 14900 val loss 5.6895
450
- 14900 val perplexity 295.7564
451
- 14900 train 5.539468 (lr=4.1039e-06) (hash(x)=149144036)
452
- 15000 val loss 5.6894
453
- 15000 val perplexity 295.7050
454
- 15000 train 5.623379 (lr=4.0035e-06) (hash(x)=145925409)
455
- 15100 val loss 5.6857
456
- 15100 val perplexity 294.6349
457
- 15100 train 5.563715 (lr=3.9068e-06) (hash(x)=144555751)
458
- 15200 val loss 5.6844
459
- 15200 val perplexity 294.2293
460
- 15200 train 5.501987 (lr=3.8138e-06) (hash(x)=143448852)
461
- 15300 val loss 5.6836
462
- 15300 val perplexity 294.0114
463
- 15300 train 5.680522 (lr=3.7245e-06) (hash(x)=156347253)
464
- 15400 val loss 5.6814
465
- 15400 val perplexity 293.3521
466
- 15400 train 5.635643 (lr=3.6390e-06) (hash(x)=153010179)
467
- 15500 val loss 5.6814
468
- 15500 val perplexity 293.3618
469
- 15500 train 5.463892 (lr=3.5572e-06) (hash(x)=144066445)
470
- 15600 val loss 5.6817
471
- 15600 val perplexity 293.4398
472
- 15600 train 5.423588 (lr=3.4793e-06) (hash(x)=146107722)
473
- 15700 val loss 5.6776
474
- 15700 val perplexity 292.2488
475
- 15700 train 5.816041 (lr=3.4052e-06) (hash(x)=152533799)
476
- 15800 val loss 5.6749
477
- 15800 val perplexity 291.4473
478
- 15800 train 5.726212 (lr=3.3350e-06) (hash(x)=151756366)
479
- 15900 val loss 5.6743
480
- 15900 val perplexity 291.2946
481
- 15900 train 5.659422 (lr=3.2687e-06) (hash(x)=151735039)
482
- 16000 val loss 5.6746
483
- 16000 val perplexity 291.3792
484
- 16000 train 5.703759 (lr=3.2063e-06) (hash(x)=154633226)
485
- 16100 val loss 5.6751
486
- 16100 val perplexity 291.5109
487
- 16100 train 5.528335 (lr=3.1478e-06) (hash(x)=158094333)
488
- 16200 val loss 5.6740
489
- 16200 val perplexity 291.1947
490
- 16200 train 5.437234 (lr=3.0932e-06) (hash(x)=142772927)
491
- 16300 val loss 5.6733
492
- 16300 val perplexity 290.9790
493
- 16300 train 5.568473 (lr=3.0427e-06) (hash(x)=148042896)
494
- 16400 val loss 5.6704
495
- 16400 val perplexity 290.1549
496
- 16400 train 6.154361 (lr=2.9961e-06) (hash(x)=170306399)
497
- 16500 val loss 5.6695
498
- 16500 val perplexity 289.8988
499
- 16500 train 5.688489 (lr=2.9535e-06) (hash(x)=141049320)
500
- 16600 val loss 5.6693
501
- 16600 val perplexity 289.8406
502
- 16600 train 5.527473 (lr=2.9149e-06) (hash(x)=150512136)
503
- 16700 val loss 5.6678
504
- 16700 val perplexity 289.3889
505
- 16700 train 5.678548 (lr=2.8804e-06) (hash(x)=151843645)
506
- 16800 val loss 5.6655
507
- 16800 val perplexity 288.7390
508
- 16800 train 5.724266 (lr=2.8498e-06) (hash(x)=140073659)
509
- 16900 val loss 5.6635
510
- 16900 val perplexity 288.1412
511
- 16900 train 5.852492 (lr=2.8234e-06) (hash(x)=171157212)
512
- 17000 val loss 5.6630
513
- 17000 val perplexity 288.0170
514
- 17000 train 5.594303 (lr=2.8010e-06) (hash(x)=144553276)
515
- 17100 val loss 5.6631
516
- 17100 val perplexity 288.0265
517
- 17100 train 5.660722 (lr=2.7826e-06) (hash(x)=157717565)
518
- 17200 val loss 5.6633
519
- 17200 val perplexity 288.0857
520
- 17200 train 5.528824 (lr=2.7684e-06) (hash(x)=149843860)
521
- 17300 val loss 5.6609
522
- 17300 val perplexity 287.3978
523
- 17300 train 5.721745 (lr=2.7582e-06) (hash(x)=162171979)
524
- 17400 val loss 5.6599
525
- 17400 val perplexity 287.1299
526
- 17400 train 5.633310 (lr=2.7520e-06) (hash(x)=148400702)
527
- 17499 val loss 5.6588
528
- 17499 val perplexity 286.7997
 
1
  max_steps: 17500
2
  0 val loss 11.2663
3
  0 val perplexity 78147.0000
4
+ 0 train 11.263341 (lr=1.7500e-07) (hash(x)=150327452)
5
+ 100 val loss 9.8666
6
+ 100 val perplexity 19276.3164
7
+ 100 train 9.875949 (lr=1.7675e-05) (hash(x)=166441190)
8
+ 200 val loss 8.5172
9
+ 200 val perplexity 5000.0649
10
+ 200 train 8.645861 (lr=3.5000e-05) (hash(x)=166780046)
11
+ 300 val loss 7.6495
12
+ 300 val perplexity 2099.6785
13
+ 300 train 7.605138 (lr=3.4997e-05) (hash(x)=159835303)
14
+ 400 val loss 7.5080
15
+ 400 val perplexity 1822.5958
16
+ 400 train 7.283498 (lr=3.4990e-05) (hash(x)=155040610)
17
+ 500 val loss 7.4459
18
+ 500 val perplexity 1712.7689
19
+ 500 train 7.172822 (lr=3.4977e-05) (hash(x)=130190460)
20
+ 600 val loss 7.3656
21
+ 600 val perplexity 1580.6713
22
+ 600 train 7.384192 (lr=3.4958e-05) (hash(x)=155504036)
23
+ 700 val loss 7.2947
24
+ 700 val perplexity 1472.5343
25
+ 700 train 7.147750 (lr=3.4935e-05) (hash(x)=137347213)
26
+ 800 val loss 7.2237
27
+ 800 val perplexity 1371.5957
28
+ 800 train 7.065663 (lr=3.4907e-05) (hash(x)=143823248)
29
+ 900 val loss 7.1532
30
+ 900 val perplexity 1278.2330
31
+ 900 train 7.261928 (lr=3.4873e-05) (hash(x)=156260416)
32
+ 1000 val loss 7.0941
33
+ 1000 val perplexity 1204.8857
34
+ 1000 train 7.049677 (lr=3.4834e-05) (hash(x)=143734685)
35
+ 1100 val loss 7.0353
36
+ 1100 val perplexity 1136.0641
37
+ 1100 train 6.952003 (lr=3.4790e-05) (hash(x)=160013925)
38
+ 1200 val loss 6.9993
39
+ 1200 val perplexity 1095.8428
40
+ 1200 train 6.722279 (lr=3.4741e-05) (hash(x)=150678249)
41
+ 1300 val loss 6.9463
42
+ 1300 val perplexity 1039.2848
43
+ 1300 train 6.712331 (lr=3.4687e-05) (hash(x)=149073315)
44
+ 1400 val loss 6.8822
45
+ 1400 val perplexity 974.7924
46
+ 1400 train 7.177571 (lr=3.4628e-05) (hash(x)=175802021)
47
+ 1500 val loss 6.8204
48
+ 1500 val perplexity 916.3141
49
+ 1500 train 7.088338 (lr=3.4563e-05) (hash(x)=171034639)
50
+ 1600 val loss 6.7715
51
+ 1600 val perplexity 872.6337
52
+ 1600 train 6.987903 (lr=3.4494e-05) (hash(x)=158681215)
53
+ 1700 val loss 6.7281
54
+ 1700 val perplexity 835.5875
55
+ 1700 train 6.675895 (lr=3.4419e-05) (hash(x)=152116061)
56
+ 1800 val loss 6.6849
57
+ 1800 val perplexity 800.2023
58
+ 1800 train 6.617714 (lr=3.4340e-05) (hash(x)=146108145)
59
+ 1900 val loss 6.6472
60
+ 1900 val perplexity 770.6526
61
+ 1900 train 6.465954 (lr=3.4255e-05) (hash(x)=147598108)
62
+ 2000 val loss 6.6229
63
+ 2000 val perplexity 752.1500
64
+ 2000 train 6.451444 (lr=3.4166e-05) (hash(x)=154996086)
65
+ 2100 val loss 6.5878
66
+ 2100 val perplexity 726.2009
67
+ 2100 train 6.356413 (lr=3.4072e-05) (hash(x)=153396183)
68
+ 2200 val loss 6.5320
69
+ 2200 val perplexity 686.7681
70
+ 2200 train 6.529510 (lr=3.3973e-05) (hash(x)=153885445)
71
+ 2300 val loss 6.4981
72
+ 2300 val perplexity 663.9014
73
+ 2300 train 6.507496 (lr=3.3869e-05) (hash(x)=159666385)
74
+ 2400 val loss 6.4592
75
+ 2400 val perplexity 638.5427
76
+ 2400 train 6.455539 (lr=3.3760e-05) (hash(x)=142353087)
77
+ 2500 val loss 6.4283
78
+ 2500 val perplexity 619.1046
79
+ 2500 train 6.443000 (lr=3.3646e-05) (hash(x)=146491718)
80
+ 2600 val loss 6.4042
81
+ 2600 val perplexity 604.3793
82
+ 2600 train 6.326907 (lr=3.3528e-05) (hash(x)=150750353)
83
+ 2700 val loss 6.3784
84
+ 2700 val perplexity 588.9938
85
+ 2700 train 6.114101 (lr=3.3405e-05) (hash(x)=129849193)
86
+ 2800 val loss 6.3725
87
+ 2800 val perplexity 585.5407
88
+ 2800 train 6.196213 (lr=3.3277e-05) (hash(x)=152767913)
89
+ 2900 val loss 6.3522
90
+ 2900 val perplexity 573.7309
91
+ 2900 train 6.126045 (lr=3.3144e-05) (hash(x)=146531140)
92
+ 3000 val loss 6.3223
93
+ 3000 val perplexity 556.8661
94
+ 3000 train 6.413922 (lr=3.3008e-05) (hash(x)=151562048)
95
+ 3100 val loss 6.2940
96
+ 3100 val perplexity 541.3404
97
+ 3100 train 6.252115 (lr=3.2866e-05) (hash(x)=146001424)
98
+ 3200 val loss 6.2814
99
+ 3200 val perplexity 534.5200
100
+ 3200 train 6.352508 (lr=3.2720e-05) (hash(x)=166486165)
101
+ 3300 val loss 6.2526
102
+ 3300 val perplexity 519.3692
103
+ 3300 train 6.191504 (lr=3.2570e-05) (hash(x)=150866680)
104
+ 3400 val loss 6.2387
105
+ 3400 val perplexity 512.1734
106
+ 3400 train 6.131408 (lr=3.2415e-05) (hash(x)=143900419)
107
+ 3500 val loss 6.2234
108
+ 3500 val perplexity 504.4341
109
+ 3500 train 6.034927 (lr=3.2256e-05) (hash(x)=148845794)
110
+ 3600 val loss 6.2103
111
+ 3600 val perplexity 497.8275
112
+ 3600 train 6.038193 (lr=3.2092e-05) (hash(x)=145667796)
113
+ 3700 val loss 6.2000
114
+ 3700 val perplexity 492.7471
115
+ 3700 train 6.219586 (lr=3.1924e-05) (hash(x)=163563851)
116
+ 3800 val loss 6.1898
117
+ 3800 val perplexity 487.7324
118
+ 3800 train 6.139465 (lr=3.1753e-05) (hash(x)=147488689)
119
+ 3900 val loss 6.1621
120
+ 3900 val perplexity 474.4142
121
+ 3900 train 6.174405 (lr=3.1577e-05) (hash(x)=148186608)
122
+ 4000 val loss 6.1436
123
+ 4000 val perplexity 465.7114
124
+ 4000 train 6.032261 (lr=3.1397e-05) (hash(x)=142970187)
125
+ 4100 val loss 6.1282
126
+ 4100 val perplexity 458.5933
127
+ 4100 train 6.276835 (lr=3.1212e-05) (hash(x)=141584883)
128
+ 4200 val loss 6.1200
129
+ 4200 val perplexity 454.8668
130
+ 4200 train 5.921480 (lr=3.1024e-05) (hash(x)=145664585)
131
+ 4300 val loss 6.1068
132
+ 4300 val perplexity 448.8869
133
+ 4300 train 5.991696 (lr=3.0833e-05) (hash(x)=143736499)
134
+ 4400 val loss 6.1066
135
+ 4400 val perplexity 448.7936
136
+ 4400 train 5.929280 (lr=3.0637e-05) (hash(x)=151883322)
137
+ 4500 val loss 6.0970
138
+ 4500 val perplexity 444.5335
139
+ 4500 train 5.972202 (lr=3.0437e-05) (hash(x)=153904871)
140
+ 4600 val loss 6.0794
141
+ 4600 val perplexity 436.7792
142
+ 4600 train 6.184064 (lr=3.0234e-05) (hash(x)=154893521)
143
+ 4700 val loss 6.0611
144
+ 4700 val perplexity 428.8307
145
+ 4700 train 6.102214 (lr=3.0027e-05) (hash(x)=152323949)
146
+ 4800 val loss 6.0513
147
+ 4800 val perplexity 424.6822
148
+ 4800 train 5.999310 (lr=2.9817e-05) (hash(x)=154104619)
149
+ 4900 val loss 6.0326
150
+ 4900 val perplexity 416.8012
151
+ 4900 train 6.160482 (lr=2.9603e-05) (hash(x)=146311426)
152
+ 5000 val loss 6.0271
153
+ 5000 val perplexity 414.5144
154
+ 5000 train 5.998255 (lr=2.9386e-05) (hash(x)=156741847)
155
+ 5100 val loss 6.0212
156
+ 5100 val perplexity 412.0829
157
+ 5100 train 5.801046 (lr=2.9166e-05) (hash(x)=142086346)
158
+ 5200 val loss 6.0182
159
+ 5200 val perplexity 410.8245
160
+ 5200 train 5.785246 (lr=2.8942e-05) (hash(x)=150265428)
161
+ 5300 val loss 6.0053
162
+ 5300 val perplexity 405.5529
163
+ 5300 train 5.873408 (lr=2.8715e-05) (hash(x)=151339108)
164
+ 5400 val loss 5.9988
165
+ 5400 val perplexity 402.9337
166
+ 5400 train 5.956289 (lr=2.8484e-05) (hash(x)=154654372)
167
+ 5500 val loss 5.9793
168
+ 5500 val perplexity 395.1808
169
+ 5500 train 5.988954 (lr=2.8251e-05) (hash(x)=150575051)
170
+ 5600 val loss 5.9670
171
+ 5600 val perplexity 390.3333
172
+ 5600 train 5.884884 (lr=2.8015e-05) (hash(x)=140396423)
173
+ 5700 val loss 5.9546
174
+ 5700 val perplexity 385.5175
175
+ 5700 train 5.811714 (lr=2.7776e-05) (hash(x)=144678758)
176
+ 5800 val loss 5.9474
177
+ 5800 val perplexity 382.7544
178
+ 5800 train 6.006756 (lr=2.7534e-05) (hash(x)=151992743)
179
+ 5900 val loss 5.9399
180
+ 5900 val perplexity 379.9125
181
+ 5900 train 5.736372 (lr=2.7290e-05) (hash(x)=144396927)
182
+ 6000 val loss 5.9352
183
+ 6000 val perplexity 378.1267
184
+ 6000 train 5.888235 (lr=2.7042e-05) (hash(x)=165478625)
185
+ 6100 val loss 5.9382
186
+ 6100 val perplexity 379.2473
187
+ 6100 train 5.665012 (lr=2.6792e-05) (hash(x)=147088621)
188
+ 6200 val loss 5.9269
189
+ 6200 val perplexity 374.9813
190
+ 6200 train 5.690819 (lr=2.6540e-05) (hash(x)=140794994)
191
+ 6300 val loss 5.9086
192
+ 6300 val perplexity 368.1940
193
+ 6300 train 5.854196 (lr=2.6285e-05) (hash(x)=134780906)
194
+ 6400 val loss 5.8961
195
+ 6400 val perplexity 363.6166
196
+ 6400 train 5.876956 (lr=2.6028e-05) (hash(x)=149023655)
197
+ 6500 val loss 5.8875
198
+ 6500 val perplexity 360.5128
199
+ 6500 train 5.736791 (lr=2.5769e-05) (hash(x)=147497796)
200
+ 6600 val loss 5.8871
201
+ 6600 val perplexity 360.3513
202
+ 6600 train 5.739757 (lr=2.5508e-05) (hash(x)=152902689)
203
+ 6700 val loss 5.8851
204
+ 6700 val perplexity 359.6428
205
+ 6700 train 5.922760 (lr=2.5244e-05) (hash(x)=153846046)
206
+ 6800 val loss 5.8640
207
+ 6800 val perplexity 352.1464
208
+ 6800 train 5.991194 (lr=2.4979e-05) (hash(x)=158512738)
209
+ 6900 val loss 5.8555
210
+ 6900 val perplexity 349.1653
211
+ 6900 train 6.398537 (lr=2.4711e-05) (hash(x)=156849968)
212
+ 7000 val loss 5.8474
213
+ 7000 val perplexity 346.3384
214
+ 7000 train 5.704376 (lr=2.4442e-05) (hash(x)=142395855)
215
+ 7100 val loss 5.8435
216
+ 7100 val perplexity 344.9890
217
+ 7100 train 5.685997 (lr=2.4171e-05) (hash(x)=147114884)
218
+ 7200 val loss 5.8335
219
+ 7200 val perplexity 341.5437
220
+ 7200 train 5.867506 (lr=2.3899e-05) (hash(x)=156979839)
221
+ 7300 val loss 5.8267
222
+ 7300 val perplexity 339.2277
223
+ 7300 train 5.626989 (lr=2.3625e-05) (hash(x)=145584373)
224
+ 7400 val loss 5.8235
225
+ 7400 val perplexity 338.1602
226
+ 7400 train 5.572762 (lr=2.3349e-05) (hash(x)=141508204)
227
+ 7500 val loss 5.8126
228
+ 7500 val perplexity 334.4917
229
+ 7500 train 5.851742 (lr=2.3073e-05) (hash(x)=148803965)
230
+ 7600 val loss 5.8067
231
+ 7600 val perplexity 332.5083
232
+ 7600 train 5.863437 (lr=2.2795e-05) (hash(x)=151019676)
233
+ 7700 val loss 5.7939
234
+ 7700 val perplexity 328.2856
235
+ 7700 train 5.906473 (lr=2.2515e-05) (hash(x)=143155750)
236
+ 7800 val loss 5.7892
237
+ 7800 val perplexity 326.7418
238
+ 7800 train 5.820032 (lr=2.2235e-05) (hash(x)=152569653)
239
+ 7900 val loss 5.7830
240
+ 7900 val perplexity 324.7243
241
+ 7900 train 5.654320 (lr=2.1954e-05) (hash(x)=143519455)
242
+ 8000 val loss 5.7751
243
+ 8000 val perplexity 322.1766
244
+ 8000 train 5.862270 (lr=2.1671e-05) (hash(x)=161180944)
245
+ 8100 val loss 5.7742
246
+ 8100 val perplexity 321.8991
247
+ 8100 train 5.804288 (lr=2.1388e-05) (hash(x)=154107345)
248
+ 8200 val loss 5.7724
249
+ 8200 val perplexity 321.2982
250
+ 8200 train 5.814382 (lr=2.1105e-05) (hash(x)=152486517)
251
+ 8300 val loss 5.7592
252
+ 8300 val perplexity 317.1099
253
+ 8300 train 5.759204 (lr=2.0820e-05) (hash(x)=156167749)
254
+ 8400 val loss 5.7493
255
+ 8400 val perplexity 313.9706
256
+ 8400 train 5.835824 (lr=2.0536e-05) (hash(x)=149155006)
257
+ 8500 val loss 5.7415
258
+ 8500 val perplexity 311.5284
259
+ 8500 train 5.687334 (lr=2.0250e-05) (hash(x)=147844390)
260
+ 8600 val loss 5.7388
261
+ 8600 val perplexity 310.6940
262
+ 8600 train 5.997749 (lr=1.9965e-05) (hash(x)=165753320)
263
+ 8700 val loss 5.7355
264
+ 8700 val perplexity 309.6590
265
+ 8700 train 5.514201 (lr=1.9679e-05) (hash(x)=146079979)
266
+ 8800 val loss 5.7332
267
+ 8800 val perplexity 308.9646
268
+ 8800 train 5.915848 (lr=1.9393e-05) (hash(x)=172259509)
269
+ 8900 val loss 5.7253
270
+ 8900 val perplexity 306.5404
271
+ 8900 train 5.405478 (lr=1.9107e-05) (hash(x)=145148314)
272
+ 9000 val loss 5.7233
273
+ 9000 val perplexity 305.9171
274
+ 9000 train 5.642859 (lr=1.8821e-05) (hash(x)=144250633)
275
+ 9100 val loss 5.7168
276
+ 9100 val perplexity 303.9372
277
+ 9100 train 5.809632 (lr=1.8535e-05) (hash(x)=157219797)
278
+ 9200 val loss 5.7049
279
+ 9200 val perplexity 300.3360
280
+ 9200 train 5.752951 (lr=1.8250e-05) (hash(x)=142743778)
281
+ 9300 val loss 5.7006
282
+ 9300 val perplexity 299.0528
283
+ 9300 train 5.633637 (lr=1.7964e-05) (hash(x)=139669771)
284
+ 9400 val loss 5.6915
285
+ 9400 val perplexity 296.3345
286
+ 9400 train 5.733429 (lr=1.7680e-05) (hash(x)=145916843)
287
+ 9500 val loss 5.6955
288
+ 9500 val perplexity 297.5302
289
+ 9500 train 5.614336 (lr=1.7395e-05) (hash(x)=150196125)
290
+ 9600 val loss 5.6859
291
+ 9600 val perplexity 294.6796
292
+ 9600 train 6.000877 (lr=1.7112e-05) (hash(x)=160041419)
293
+ 9700 val loss 5.6857
294
+ 9700 val perplexity 294.6254
295
+ 9700 train 5.472782 (lr=1.6829e-05) (hash(x)=139931627)
296
+ 9800 val loss 5.6803
297
+ 9800 val perplexity 293.0335
298
+ 9800 train 5.666329 (lr=1.6546e-05) (hash(x)=150370792)
299
+ 9900 val loss 5.6722
300
+ 9900 val perplexity 290.6800
301
+ 9900 train 5.500357 (lr=1.6265e-05) (hash(x)=153014886)
302
+ 10000 val loss 5.6696
303
+ 10000 val perplexity 289.9293
304
+ 10000 train 5.582622 (lr=1.5985e-05) (hash(x)=141915265)
305
+ 10100 val loss 5.6658
306
+ 10100 val perplexity 288.8095
307
+ 10100 train 6.173605 (lr=1.5705e-05) (hash(x)=197770952)
308
+ 10200 val loss 5.6572
309
+ 10200 val perplexity 286.3348
310
+ 10200 train 5.623529 (lr=1.5427e-05) (hash(x)=156806005)
311
+ 10300 val loss 5.6543
312
+ 10300 val perplexity 285.5200
313
+ 10300 train 5.462598 (lr=1.5151e-05) (hash(x)=145378216)
314
+ 10400 val loss 5.6495
315
+ 10400 val perplexity 284.1413
316
+ 10400 train 5.563924 (lr=1.4875e-05) (hash(x)=145125407)
317
+ 10500 val loss 5.6463
318
+ 10500 val perplexity 283.2400
319
+ 10500 train 5.467100 (lr=1.4601e-05) (hash(x)=147553745)
320
+ 10600 val loss 5.6426
321
+ 10600 val perplexity 282.1878
322
+ 10600 train 5.293966 (lr=1.4329e-05) (hash(x)=134894889)
323
+ 10700 val loss 5.6358
324
+ 10700 val perplexity 280.2725
325
+ 10700 train 5.560827 (lr=1.4058e-05) (hash(x)=151041040)
326
+ 10800 val loss 5.6313
327
+ 10800 val perplexity 279.0345
328
+ 10800 train 5.559671 (lr=1.3789e-05) (hash(x)=145685829)
329
+ 10900 val loss 5.6262
330
+ 10900 val perplexity 277.6062
331
+ 10900 train 5.715626 (lr=1.3521e-05) (hash(x)=156000716)
332
+ 11000 val loss 5.6236
333
+ 11000 val perplexity 276.8808
334
+ 11000 train 5.636567 (lr=1.3256e-05) (hash(x)=149858163)
335
+ 11100 val loss 5.6234
336
+ 11100 val perplexity 276.8307
337
+ 11100 train 5.906702 (lr=1.2992e-05) (hash(x)=164873575)
338
+ 11200 val loss 5.6220
339
+ 11200 val perplexity 276.4303
340
+ 11200 train 5.503514 (lr=1.2731e-05) (hash(x)=156370069)
341
+ 11300 val loss 5.6210
342
+ 11300 val perplexity 276.1702
343
+ 11300 train 5.706107 (lr=1.2472e-05) (hash(x)=160356892)
344
+ 11400 val loss 5.6073
345
+ 11400 val perplexity 272.3991
346
+ 11400 train 5.678671 (lr=1.2215e-05) (hash(x)=158955430)
347
+ 11500 val loss 5.6066
348
+ 11500 val perplexity 272.2245
349
+ 11500 train 5.573491 (lr=1.1960e-05) (hash(x)=146598377)
350
+ 11600 val loss 5.6235
351
+ 11600 val perplexity 276.8658
352
+ 11600 train 5.762615 (lr=1.1708e-05) (hash(x)=156045795)
353
+ 11700 val loss 5.6025
354
+ 11700 val perplexity 271.1102
355
+ 11700 train 5.456719 (lr=1.1458e-05) (hash(x)=143963334)
356
+ 11800 val loss 5.6006
357
+ 11800 val perplexity 270.5925
358
+ 11800 train 5.440306 (lr=1.1210e-05) (hash(x)=145831579)
359
+ 11900 val loss 5.5957
360
+ 11900 val perplexity 269.2682
361
+ 11900 train 5.755351 (lr=1.0966e-05) (hash(x)=165154141)
362
+ 12000 val loss 5.5908
363
+ 12000 val perplexity 267.9550
364
+ 12000 train 5.674036 (lr=1.0724e-05) (hash(x)=160373794)
365
+ 12100 val loss 5.5874
366
+ 12100 val perplexity 267.0450
367
+ 12100 train 5.375375 (lr=1.0485e-05) (hash(x)=141476346)
368
+ 12200 val loss 5.5856
369
+ 12200 val perplexity 266.5506
370
+ 12200 train 5.835909 (lr=1.0249e-05) (hash(x)=164508058)
371
+ 12300 val loss 5.5835
372
+ 12300 val perplexity 265.9999
373
+ 12300 train 5.569179 (lr=1.0016e-05) (hash(x)=140407664)
374
+ 12400 val loss 5.5811
375
+ 12400 val perplexity 265.3701
376
+ 12400 train 5.437617 (lr=9.7854e-06) (hash(x)=149526189)
377
+ 12500 val loss 5.5757
378
+ 12500 val perplexity 263.9212
379
+ 12500 train 5.430196 (lr=9.5583e-06) (hash(x)=142060916)
380
+ 12600 val loss 5.5706
381
+ 12600 val perplexity 262.5867
382
+ 12600 train 5.744236 (lr=9.3345e-06) (hash(x)=168650848)
383
+ 12700 val loss 5.5701
384
+ 12700 val perplexity 262.4474
385
+ 12700 train 5.596745 (lr=9.1139e-06) (hash(x)=154353018)
386
+ 12800 val loss 5.5697
387
+ 12800 val perplexity 262.3454
388
+ 12800 train 5.737992 (lr=8.8967e-06) (hash(x)=156115265)
389
+ 12900 val loss 5.5665
390
+ 12900 val perplexity 261.5076
391
+ 12900 train 5.494372 (lr=8.6829e-06) (hash(x)=143378175)
392
+ 13000 val loss 5.5639
393
+ 13000 val perplexity 260.8358
394
+ 13000 train 5.656729 (lr=8.4726e-06) (hash(x)=166124864)
395
+ 13100 val loss 5.5626
396
+ 13100 val perplexity 260.4978
397
+ 13100 train 5.440381 (lr=8.2658e-06) (hash(x)=146615385)
398
+ 13200 val loss 5.5623
399
+ 13200 val perplexity 260.4130
400
+ 13200 train 5.458254 (lr=8.0626e-06) (hash(x)=149236047)
401
+ 13300 val loss 5.5570
402
+ 13300 val perplexity 259.0388
403
+ 13300 train 5.490791 (lr=7.8632e-06) (hash(x)=151346972)
404
+ 13400 val loss 5.5544
405
+ 13400 val perplexity 258.3721
406
+ 13400 train 5.652813 (lr=7.6674e-06) (hash(x)=159167093)
407
+ 13500 val loss 5.5534
408
+ 13500 val perplexity 258.1016
409
+ 13500 train 5.282621 (lr=7.4756e-06) (hash(x)=135054650)
410
+ 13600 val loss 5.5507
411
+ 13600 val perplexity 257.4178
412
+ 13600 train 5.435532 (lr=7.2875e-06) (hash(x)=151033927)
413
+ 13700 val loss 5.5507
414
+ 13700 val perplexity 257.4250
415
+ 13700 train 5.252520 (lr=7.1035e-06) (hash(x)=141119172)
416
+ 13800 val loss 5.5498
417
+ 13800 val perplexity 257.1873
418
+ 13800 train 5.263982 (lr=6.9234e-06) (hash(x)=144197766)
419
+ 13900 val loss 5.5452
420
+ 13900 val perplexity 256.0157
421
+ 13900 train 5.482715 (lr=6.7474e-06) (hash(x)=145148158)
422
+ 14000 val loss 5.5415
423
+ 14000 val perplexity 255.0668
424
+ 14000 train 6.022576 (lr=6.5756e-06) (hash(x)=179068751)
425
+ 14100 val loss 5.5413
426
+ 14100 val perplexity 255.0131
427
+ 14100 train 5.412605 (lr=6.4079e-06) (hash(x)=144988373)
428
+ 14200 val loss 5.5398
429
+ 14200 val perplexity 254.6327
430
+ 14200 train 5.489853 (lr=6.2444e-06) (hash(x)=133379696)
431
+ 14300 val loss 5.5397
432
+ 14300 val perplexity 254.6027
433
+ 14300 train 5.420756 (lr=6.0852e-06) (hash(x)=149883422)
434
+ 14400 val loss 5.5397
435
+ 14400 val perplexity 254.5917
436
+ 14400 train 5.406084 (lr=5.9304e-06) (hash(x)=145709198)
437
+ 14500 val loss 5.5349
438
+ 14500 val perplexity 253.3946
439
+ 14500 train 5.546863 (lr=5.7800e-06) (hash(x)=148016579)
440
+ 14600 val loss 5.5333
441
+ 14600 val perplexity 252.9894
442
+ 14600 train 5.513137 (lr=5.6340e-06) (hash(x)=150218222)
443
+ 14700 val loss 5.5329
444
+ 14700 val perplexity 252.8771
445
+ 14700 train 5.468463 (lr=5.4925e-06) (hash(x)=142258737)
446
+ 14800 val loss 5.5297
447
+ 14800 val perplexity 252.0703
448
+ 14800 train 5.427268 (lr=5.3555e-06) (hash(x)=147628003)
449
+ 14900 val loss 5.5314
450
+ 14900 val perplexity 252.5087
451
+ 14900 train 5.382735 (lr=5.2231e-06) (hash(x)=149144036)
452
+ 15000 val loss 5.5304
453
+ 15000 val perplexity 252.2545
454
+ 15000 train 5.463471 (lr=5.0954e-06) (hash(x)=145925409)
455
+ 15100 val loss 5.5261
456
+ 15100 val perplexity 251.1536
457
+ 15100 train 5.413812 (lr=4.9723e-06) (hash(x)=144555751)
458
+ 15200 val loss 5.5241
459
+ 15200 val perplexity 250.6498
460
+ 15200 train 5.348018 (lr=4.8539e-06) (hash(x)=143448852)
461
+ 15300 val loss 5.5229
462
+ 15300 val perplexity 250.3561
463
+ 15300 train 5.524452 (lr=4.7403e-06) (hash(x)=156347253)
464
+ 15400 val loss 5.5216
465
+ 15400 val perplexity 250.0448
466
+ 15400 train 5.474526 (lr=4.6314e-06) (hash(x)=153010179)
467
+ 15500 val loss 5.5222
468
+ 15500 val perplexity 250.1826
469
+ 15500 train 5.299636 (lr=4.5274e-06) (hash(x)=144066445)
470
+ 15600 val loss 5.5216
471
+ 15600 val perplexity 250.0413
472
+ 15600 train 5.255478 (lr=4.4282e-06) (hash(x)=146107722)
473
+ 15700 val loss 5.5178
474
+ 15700 val perplexity 249.0807
475
+ 15700 train 5.667055 (lr=4.3339e-06) (hash(x)=152533799)
476
+ 15800 val loss 5.5155
477
+ 15800 val perplexity 248.5203
478
+ 15800 train 5.569731 (lr=4.2446e-06) (hash(x)=151756366)
479
+ 15900 val loss 5.5149
480
+ 15900 val perplexity 248.3722
481
+ 15900 train 5.498937 (lr=4.1601e-06) (hash(x)=151735039)
482
+ 16000 val loss 5.5144
483
+ 16000 val perplexity 248.2384
484
+ 16000 train 5.541584 (lr=4.0807e-06) (hash(x)=154633226)
485
+ 16100 val loss 5.5148
486
+ 16100 val perplexity 248.3285
487
+ 16100 train 5.358697 (lr=4.0063e-06) (hash(x)=158094333)
488
+ 16200 val loss 5.5145
489
+ 16200 val perplexity 248.2621
490
+ 16200 train 5.270772 (lr=3.9368e-06) (hash(x)=142772927)
491
+ 16300 val loss 5.5136
492
+ 16300 val perplexity 248.0458
493
+ 16300 train 5.414096 (lr=3.8725e-06) (hash(x)=148042896)
494
+ 16400 val loss 5.5103
495
+ 16400 val perplexity 247.2169
496
+ 16400 train 5.995365 (lr=3.8132e-06) (hash(x)=170306399)
497
+ 16500 val loss 5.5097
498
+ 16500 val perplexity 247.0674
499
+ 16500 train 5.531100 (lr=3.7590e-06) (hash(x)=141049320)
500
+ 16600 val loss 5.5105
501
+ 16600 val perplexity 247.2748
502
+ 16600 train 5.366843 (lr=3.7099e-06) (hash(x)=150512136)
503
+ 16700 val loss 5.5079
504
+ 16700 val perplexity 246.6345
505
+ 16700 train 5.512495 (lr=3.6659e-06) (hash(x)=151843645)
506
+ 16800 val loss 5.5054
507
+ 16800 val perplexity 246.0190
508
+ 16800 train 5.574283 (lr=3.6271e-06) (hash(x)=140073659)
509
+ 16900 val loss 5.5040
510
+ 16900 val perplexity 245.6649
511
+ 16900 train 5.649993 (lr=3.5934e-06) (hash(x)=171157212)
512
+ 17000 val loss 5.5037
513
+ 17000 val perplexity 245.6022
514
+ 17000 train 5.439902 (lr=3.5649e-06) (hash(x)=144553276)
515
+ 17100 val loss 5.5033
516
+ 17100 val perplexity 245.5049
517
+ 17100 train 5.497724 (lr=3.5415e-06) (hash(x)=157717565)
518
+ 17200 val loss 5.5036
519
+ 17200 val perplexity 245.5721
520
+ 17200 train 5.361936 (lr=3.5234e-06) (hash(x)=149843860)
521
+ 17300 val loss 5.5012
522
+ 17300 val perplexity 244.9887
523
+ 17300 train 5.560598 (lr=3.5104e-06) (hash(x)=162171979)
524
+ 17400 val loss 5.5006
525
+ 17400 val perplexity 244.8329
526
+ 17400 train 5.472299 (lr=3.5026e-06) (hash(x)=148400702)
527
+ 17499 val loss 5.4991
528
+ 17499 val perplexity 244.4820
attention_kindselective_n_heads4_seed1338/model_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e0c36683ee57463cfd86e7922a106b4b11abb68ae6f544a48c5187333df99ac6
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9bccf2461b0c494a3687ecba37da35128d7decbe154d840de37be045dd40b15
3
  size 92843394
attention_kindselective_n_heads4_seed1338/optimizer_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:749581d48e62690bb18401ec32aa78d78b9cf7705a7d783397a5bbdd00e78b06
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bbe1f41dc0665df8af9fb548e6cf38e4843c70c08313c5c880d130411c57a236
3
  size 179406214