andrew-healey commited on
Commit
92835e0
·
verified ·
1 Parent(s): 7ebe433

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads2_seed1341/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_4/attention_kindselective_n_heads2_seed1341", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 2, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 10000, "warmup_steps": 200, "group": "wider_is_better_4", "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": 3e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3e-5_30720_2_1341", "n_embd": 128}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_6/attention_kindselective_n_heads2_seed1341", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 2, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 10000, "warmup_steps": 200, "group": "wider_is_better_6", "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": 40, "total_batch_size": 10240, "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": 5e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "5e-5_10240_2_1341", "n_embd": 128}
attention_kindselective_n_heads2_seed1341/dataloader_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:db41c5e5513137877487a93451adf8ec4ed2448ab6e9471ebd5595c8e3293875
3
  size 964
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b2ea67f78ff5a7970d0db044ff7ee527b3dc065f295fd30f588df4b44b568d0
3
  size 964
attention_kindselective_n_heads2_seed1341/dataloader_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f6df8947c6ab773db1947914387d3db345a84828521d3a64bae9b652e1b0a410
3
  size 964
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f03ed2ebf741f15e13c79e6cc1e9a19b308450d81cc3b4d8d0338c63d77ca59
3
  size 964
attention_kindselective_n_heads2_seed1341/dataloader_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:169891a726a7ff746d1a7aa99f459a66d85ceb4e9f2583f790f5b8501f97b6af
3
  size 964
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82590037fb2eecbec961f7967a8dd1b8d85515d31a252f66b92b8139858a8b7c
3
  size 964
attention_kindselective_n_heads2_seed1341/dataloader_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e685a568a36c792ccbe7b5fcae0b9d630955e589991190bd8902836cea6a91df
3
  size 964
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c544303717d12355a69b8ffb1eb109434e4fdccfd5a61279b6e8ba2e870d6700
3
  size 964
attention_kindselective_n_heads2_seed1341/log2.txt CHANGED
@@ -1,303 +1,591 @@
1
  max_steps: 10000
2
- 0 val loss 11.7722
3
- 0 val perplexity 129595.2031
4
- 0 train 11.774795 (lr=1.5000e-07) (hash(x)=145079536)
5
- 100 val loss 10.3638
6
- 100 val perplexity 31690.6855
7
- 100 train 10.310390 (lr=1.5150e-05) (hash(x)=154745873)
8
- 200 val loss 9.4344
9
- 200 val perplexity 12511.1768
10
- 200 train 9.417608 (lr=3.0000e-05) (hash(x)=155800595)
11
- 300 val loss 8.1776
12
- 300 val perplexity 3560.4011
13
- 300 train 8.142024 (lr=2.9993e-05) (hash(x)=148595389)
14
- 400 val loss 7.7316
15
- 400 val perplexity 2279.2727
16
- 400 train 7.647736 (lr=2.9972e-05) (hash(x)=145606733)
17
- 500 val loss 7.5773
18
- 500 val perplexity 1953.3274
19
- 500 train 7.406966 (lr=2.9938e-05) (hash(x)=138221231)
20
- 600 val loss 7.5203
21
- 600 val perplexity 1845.0748
22
- 600 train 7.525246 (lr=2.9889e-05) (hash(x)=150367139)
23
- 700 val loss 7.4772
24
- 700 val perplexity 1767.2173
25
- 700 train 7.618254 (lr=2.9827e-05) (hash(x)=155579314)
26
- 800 val loss 7.4219
27
- 800 val perplexity 1672.1436
28
- 800 train 7.494927 (lr=2.9751e-05) (hash(x)=155747374)
29
- 900 val loss 7.3563
30
- 900 val perplexity 1566.0425
31
- 900 train 7.568688 (lr=2.9662e-05) (hash(x)=159334575)
32
- 1000 val loss 7.2908
33
- 1000 val perplexity 1466.7249
34
- 1000 train 7.166207 (lr=2.9558e-05) (hash(x)=140604760)
35
- 1100 val loss 7.2271
36
- 1100 val perplexity 1376.2406
37
- 1100 train 7.053119 (lr=2.9442e-05) (hash(x)=146208052)
38
- 1200 val loss 7.1591
39
- 1200 val perplexity 1285.7166
40
- 1200 train 7.065541 (lr=2.9312e-05) (hash(x)=148404734)
41
- 1300 val loss 7.0993
42
- 1300 val perplexity 1211.0946
43
- 1300 train 7.030000 (lr=2.9169e-05) (hash(x)=155681970)
44
- 1400 val loss 7.0369
45
- 1400 val perplexity 1137.8608
46
- 1400 train 6.990728 (lr=2.9013e-05) (hash(x)=148115934)
47
- 1500 val loss 6.9659
48
- 1500 val perplexity 1059.9108
49
- 1500 train 7.128124 (lr=2.8845e-05) (hash(x)=157074034)
50
- 1600 val loss 6.9095
51
- 1600 val perplexity 1001.7750
52
- 1600 train 6.662536 (lr=2.8663e-05) (hash(x)=137464699)
53
- 1700 val loss 6.8588
54
- 1700 val perplexity 952.2664
55
- 1700 train 7.000303 (lr=2.8469e-05) (hash(x)=166955614)
56
- 1800 val loss 6.8125
57
- 1800 val perplexity 909.1738
58
- 1800 train 6.636445 (lr=2.8263e-05) (hash(x)=143886042)
59
- 1900 val loss 6.7785
60
- 1900 val perplexity 878.7321
61
- 1900 train 7.344856 (lr=2.8044e-05) (hash(x)=193610391)
62
- 2000 val loss 6.7289
63
- 2000 val perplexity 836.2564
64
- 2000 train 6.923176 (lr=2.7814e-05) (hash(x)=163799796)
65
- 2100 val loss 6.6765
66
- 2100 val perplexity 793.5648
67
- 2100 train 6.666200 (lr=2.7572e-05) (hash(x)=154107339)
68
- 2200 val loss 6.6449
69
- 2200 val perplexity 768.8541
70
- 2200 train 6.642457 (lr=2.7319e-05) (hash(x)=144592844)
71
- 2300 val loss 6.6128
72
- 2300 val perplexity 744.5838
73
- 2300 train 6.680394 (lr=2.7055e-05) (hash(x)=154535861)
74
- 2400 val loss 6.5805
75
- 2400 val perplexity 720.9152
76
- 2400 train 7.345472 (lr=2.6780e-05) (hash(x)=204706354)
77
- 2500 val loss 6.5576
78
- 2500 val perplexity 704.6126
79
- 2500 train 6.345363 (lr=2.6494e-05) (hash(x)=143783202)
80
- 2600 val loss 6.5345
81
- 2600 val perplexity 688.5145
82
- 2600 train 6.449786 (lr=2.6198e-05) (hash(x)=150862210)
83
- 2700 val loss 6.5102
84
- 2700 val perplexity 671.9762
85
- 2700 train 6.551790 (lr=2.5892e-05) (hash(x)=150753426)
86
- 2800 val loss 6.4929
87
- 2800 val perplexity 660.4471
88
- 2800 train 6.511770 (lr=2.5576e-05) (hash(x)=147766811)
89
- 2900 val loss 6.4571
90
- 2900 val perplexity 637.2186
91
- 2900 train 6.394937 (lr=2.5251e-05) (hash(x)=151177814)
92
- 3000 val loss 6.4394
93
- 3000 val perplexity 626.0252
94
- 3000 train 6.307624 (lr=2.4917e-05) (hash(x)=135925327)
95
- 3100 val loss 6.4255
96
- 3100 val perplexity 617.3714
97
- 3100 train 6.066052 (lr=2.4574e-05) (hash(x)=124842353)
98
- 3200 val loss 6.4126
99
- 3200 val perplexity 609.4990
100
- 3200 train 6.509407 (lr=2.4224e-05) (hash(x)=160440642)
101
- 3300 val loss 6.3849
102
- 3300 val perplexity 592.8026
103
- 3300 train 6.300091 (lr=2.3865e-05) (hash(x)=143017131)
104
- 3400 val loss 6.3705
105
- 3400 val perplexity 584.3425
106
- 3400 train 6.720880 (lr=2.3498e-05) (hash(x)=148143474)
107
- 3500 val loss 6.3546
108
- 3500 val perplexity 575.1470
109
- 3500 train 6.168210 (lr=2.3125e-05) (hash(x)=148732639)
110
- 3600 val loss 6.3427
111
- 3600 val perplexity 568.3472
112
- 3600 train 6.334900 (lr=2.2744e-05) (hash(x)=146333803)
113
- 3700 val loss 6.3290
114
- 3700 val perplexity 560.5775
115
- 3700 train 6.129919 (lr=2.2357e-05) (hash(x)=143611445)
116
- 3800 val loss 6.3270
117
- 3800 val perplexity 559.4955
118
- 3800 train 6.108684 (lr=2.1965e-05) (hash(x)=141272115)
119
- 3900 val loss 6.3116
120
- 3900 val perplexity 550.9077
121
- 3900 train 6.246768 (lr=2.1566e-05) (hash(x)=149161848)
122
- 4000 val loss 6.2831
123
- 4000 val perplexity 535.4652
124
- 4000 train 6.355687 (lr=2.1162e-05) (hash(x)=152036955)
125
- 4100 val loss 6.2690
126
- 4100 val perplexity 527.9527
127
- 4100 train 6.317615 (lr=2.0754e-05) (hash(x)=153260968)
128
- 4200 val loss 6.2611
129
- 4200 val perplexity 523.7897
130
- 4200 train 6.157646 (lr=2.0341e-05) (hash(x)=147629478)
131
- 4300 val loss 6.2524
132
- 4300 val perplexity 519.2458
133
- 4300 train 6.222133 (lr=1.9924e-05) (hash(x)=161701080)
134
- 4400 val loss 6.2445
135
- 4400 val perplexity 515.1727
136
- 4400 train 6.297623 (lr=1.9504e-05) (hash(x)=155290524)
137
- 4500 val loss 6.2363
138
- 4500 val perplexity 510.9671
139
- 4500 train 6.020789 (lr=1.9081e-05) (hash(x)=144726593)
140
- 4600 val loss 6.2316
141
- 4600 val perplexity 508.5655
142
- 4600 train 6.176429 (lr=1.8655e-05) (hash(x)=149517202)
143
- 4700 val loss 6.2135
144
- 4700 val perplexity 499.4560
145
- 4700 train 6.223347 (lr=1.8226e-05) (hash(x)=139403008)
146
- 4800 val loss 6.1999
147
- 4800 val perplexity 492.6792
148
- 4800 train 6.289749 (lr=1.7796e-05) (hash(x)=153387238)
149
- 4900 val loss 6.1991
150
- 4900 val perplexity 492.2868
151
- 4900 train 5.946225 (lr=1.7365e-05) (hash(x)=139881569)
152
- 5000 val loss 6.1858
153
- 5000 val perplexity 485.8128
154
- 5000 train 6.200039 (lr=1.6933e-05) (hash(x)=152602580)
155
- 5100 val loss 6.1775
156
- 5100 val perplexity 481.7774
157
- 5100 train 6.222368 (lr=1.6500e-05) (hash(x)=150598460)
158
- 5200 val loss 6.1737
159
- 5200 val perplexity 479.9440
160
- 5200 train 6.049888 (lr=1.6067e-05) (hash(x)=147660496)
161
- 5300 val loss 6.1657
162
- 5300 val perplexity 476.1298
163
- 5300 train 5.907603 (lr=1.5635e-05) (hash(x)=147693848)
164
- 5400 val loss 6.1717
165
- 5400 val perplexity 478.9965
166
- 5400 train 5.929591 (lr=1.5204e-05) (hash(x)=136048145)
167
- 5500 val loss 6.1501
168
- 5500 val perplexity 468.7782
169
- 5500 train 6.171415 (lr=1.4774e-05) (hash(x)=140313123)
170
- 5600 val loss 6.1436
171
- 5600 val perplexity 465.7047
172
- 5600 train 6.169950 (lr=1.4345e-05) (hash(x)=156997993)
173
- 5700 val loss 6.1348
174
- 5700 val perplexity 461.6267
175
- 5700 train 6.146784 (lr=1.3919e-05) (hash(x)=143513880)
176
- 5800 val loss 6.1298
177
- 5800 val perplexity 459.3479
178
- 5800 train 6.255326 (lr=1.3496e-05) (hash(x)=153736628)
179
- 5900 val loss 6.1278
180
- 5900 val perplexity 458.4455
181
- 5900 train 6.270812 (lr=1.3076e-05) (hash(x)=166385417)
182
- 6000 val loss 6.1195
183
- 6000 val perplexity 454.6567
184
- 6000 train 6.350556 (lr=1.2659e-05) (hash(x)=153216517)
185
- 6100 val loss 6.1183
186
- 6100 val perplexity 454.0780
187
- 6100 train 6.004011 (lr=1.2246e-05) (hash(x)=145387545)
188
- 6200 val loss 6.1155
189
- 6200 val perplexity 452.8155
190
- 6200 train 6.235756 (lr=1.1838e-05) (hash(x)=156306460)
191
- 6300 val loss 6.1022
192
- 6300 val perplexity 446.8536
193
- 6300 train 6.034924 (lr=1.1434e-05) (hash(x)=148610447)
194
- 6400 val loss 6.0974
195
- 6400 val perplexity 444.7107
196
- 6400 train 6.314558 (lr=1.1035e-05) (hash(x)=158343535)
197
- 6500 val loss 6.0914
198
- 6500 val perplexity 442.0321
199
- 6500 train 6.262345 (lr=1.0643e-05) (hash(x)=157742557)
200
- 6600 val loss 6.0901
201
- 6600 val perplexity 441.4777
202
- 6600 train 5.989834 (lr=1.0256e-05) (hash(x)=150457308)
203
- 6700 val loss 6.0879
204
- 6700 val perplexity 440.4988
205
- 6700 train 5.953698 (lr=9.8753e-06) (hash(x)=142426205)
206
- 6800 val loss 6.0852
207
- 6800 val perplexity 439.3283
208
- 6800 train 5.884865 (lr=9.5017e-06) (hash(x)=151522525)
209
- 6900 val loss 6.0779
210
- 6900 val perplexity 436.1267
211
- 6900 train 6.016484 (lr=9.1353e-06) (hash(x)=152029630)
212
- 7000 val loss 6.0745
213
- 7000 val perplexity 434.6117
214
- 7000 train 5.922952 (lr=8.7764e-06) (hash(x)=142978954)
215
- 7100 val loss 6.0687
216
- 7100 val perplexity 432.1179
217
- 7100 train 5.947993 (lr=8.4255e-06) (hash(x)=148064359)
218
- 7200 val loss 6.0660
219
- 7200 val perplexity 430.9639
220
- 7200 train 5.966048 (lr=8.0829e-06) (hash(x)=155771845)
221
- 7300 val loss 6.0634
222
- 7300 val perplexity 429.8407
223
- 7300 train 5.861534 (lr=7.7489e-06) (hash(x)=141639844)
224
- 7400 val loss 6.0639
225
- 7400 val perplexity 430.0664
226
- 7400 train 6.113844 (lr=7.4239e-06) (hash(x)=153466021)
227
- 7500 val loss 6.0577
228
- 7500 val perplexity 427.3977
229
- 7500 train 6.058067 (lr=7.1083e-06) (hash(x)=148843587)
230
- 7600 val loss 6.0520
231
- 7600 val perplexity 424.9706
232
- 7600 train 6.189840 (lr=6.8023e-06) (hash(x)=152053933)
233
- 7700 val loss 6.0507
234
- 7700 val perplexity 424.4133
235
- 7700 train 5.898217 (lr=6.5062e-06) (hash(x)=141564003)
236
- 7800 val loss 6.0465
237
- 7800 val perplexity 422.6144
238
- 7800 train 5.920815 (lr=6.2205e-06) (hash(x)=148617843)
239
- 7900 val loss 6.0456
240
- 7900 val perplexity 422.2512
241
- 7900 train 6.015367 (lr=5.9453e-06) (hash(x)=146417668)
242
- 8000 val loss 6.0450
243
- 8000 val perplexity 421.9865
244
- 8000 train 5.850304 (lr=5.6809e-06) (hash(x)=150165488)
245
- 8100 val loss 6.0408
246
- 8100 val perplexity 420.2381
247
- 8100 train 6.013474 (lr=5.4277e-06) (hash(x)=144818855)
248
- 8200 val loss 6.0372
249
- 8200 val perplexity 418.7222
250
- 8200 train 6.119427 (lr=5.1858e-06) (hash(x)=143074954)
251
- 8300 val loss 6.0340
252
- 8300 val perplexity 417.3623
253
- 8300 train 5.923309 (lr=4.9556e-06) (hash(x)=145172494)
254
- 8400 val loss 6.0337
255
- 8400 val perplexity 417.2652
256
- 8400 train 6.065529 (lr=4.7372e-06) (hash(x)=152284393)
257
- 8500 val loss 6.0314
258
- 8500 val perplexity 416.2838
259
- 8500 train 5.882653 (lr=4.5309e-06) (hash(x)=147044705)
260
- 8600 val loss 6.0320
261
- 8600 val perplexity 416.5469
262
- 8600 train 5.929805 (lr=4.3369e-06) (hash(x)=147762608)
263
- 8700 val loss 6.0279
264
- 8700 val perplexity 414.8306
265
- 8700 train 6.042439 (lr=4.1554e-06) (hash(x)=141994567)
266
- 8800 val loss 6.0255
267
- 8800 val perplexity 413.8477
268
- 8800 train 6.112911 (lr=3.9866e-06) (hash(x)=152552896)
269
- 8900 val loss 6.0231
270
- 8900 val perplexity 412.8680
271
- 8900 train 5.859866 (lr=3.8307e-06) (hash(x)=139714454)
272
- 9000 val loss 6.0218
273
- 9000 val perplexity 412.3357
274
- 9000 train 6.052674 (lr=3.6877e-06) (hash(x)=152274419)
275
- 9100 val loss 6.0214
276
- 9100 val perplexity 412.1412
277
- 9100 train 6.103989 (lr=3.5580e-06) (hash(x)=160536885)
278
- 9200 val loss 6.0210
279
- 9200 val perplexity 411.9943
280
- 9200 train 5.841023 (lr=3.4415e-06) (hash(x)=138386899)
281
- 9300 val loss 6.0192
282
- 9300 val perplexity 411.2347
283
- 9300 train 6.074156 (lr=3.3385e-06) (hash(x)=149957457)
284
- 9400 val loss 6.0161
285
- 9400 val perplexity 409.9883
286
- 9400 train 6.065225 (lr=3.2490e-06) (hash(x)=161671548)
287
- 9500 val loss 6.0157
288
- 9500 val perplexity 409.8131
289
- 9500 train 6.159393 (lr=3.1730e-06) (hash(x)=171857400)
290
- 9600 val loss 6.0129
291
- 9600 val perplexity 408.6819
292
- 9600 train 5.782595 (lr=3.1108e-06) (hash(x)=135378471)
293
- 9700 val loss 6.0124
294
- 9700 val perplexity 408.4582
295
- 9700 train 5.940501 (lr=3.0624e-06) (hash(x)=149514591)
296
- 9800 val loss 6.0114
297
- 9800 val perplexity 408.0481
298
- 9800 train 5.993114 (lr=3.0277e-06) (hash(x)=152679072)
299
- 9900 val loss 6.0094
300
- 9900 val perplexity 407.2200
301
- 9900 train 5.938741 (lr=3.0069e-06) (hash(x)=150415193)
302
- 9999 val loss 6.0089
303
- 9999 val perplexity 407.0517
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  max_steps: 10000
2
+ 0 val loss 11.7712
3
+ 0 val perplexity 129466.1094
4
+ 0 val loss 11.7712
5
+ 0 val perplexity 129466.1094
6
+ 0 train 11.770625 (lr=3.5000e-07) (hash(x)=47078120)
7
+ 0 train 11.770625 (lr=2.5000e-07) (hash(x)=47078120)
8
+ 100 val loss 10.0727
9
+ 100 val perplexity 23688.1914
10
+ 100 train 10.071457 (lr=3.5350e-05) (hash(x)=43429388)
11
+ 100 val loss 10.2257
12
+ 100 val perplexity 27604.7012
13
+ 100 train 10.230239 (lr=2.5250e-05) (hash(x)=43429388)
14
+ 200 val loss 8.5407
15
+ 200 val perplexity 5118.7700
16
+ 200 train 8.701613 (lr=7.0000e-05) (hash(x)=52929681)
17
+ 200 val loss 9.0275
18
+ 200 val perplexity 8328.7500
19
+ 200 train 9.171297 (lr=5.0000e-05) (hash(x)=52929681)
20
+ 300 val loss 7.7996
21
+ 300 val perplexity 2439.5366
22
+ 300 train 7.821887 (lr=6.9984e-05) (hash(x)=49930367)
23
+ 300 val loss 7.9612
24
+ 300 val perplexity 2867.4238
25
+ 300 train 7.983008 (lr=4.9988e-05) (hash(x)=49930367)
26
+ 400 val loss 7.6933
27
+ 400 val perplexity 2193.5842
28
+ 400 train 7.520776 (lr=6.9935e-05) (hash(x)=48542946)
29
+ 400 val loss 7.7024
30
+ 400 val perplexity 2213.6982
31
+ 400 train 7.530426 (lr=4.9954e-05) (hash(x)=48542946)
32
+ 500 val loss 7.6582
33
+ 500 val perplexity 2117.9321
34
+ 500 train 7.850955 (lr=4.9896e-05) (hash(x)=55286048)
35
+ 500 val loss 7.6649
36
+ 500 val perplexity 2132.2778
37
+ 500 train 7.856366 (lr=6.9854e-05) (hash(x)=55286048)
38
+ 600 val loss 7.6322
39
+ 600 val perplexity 2063.6858
40
+ 600 train 7.885755 (lr=4.9815e-05) (hash(x)=51577760)
41
+ 600 val loss 7.6414
42
+ 600 val perplexity 2082.6948
43
+ 600 train 7.883400 (lr=6.9741e-05) (hash(x)=51577760)
44
+ 700 val loss 7.5973
45
+ 700 val perplexity 1992.7426
46
+ 700 train 7.745926 (lr=4.9712e-05) (hash(x)=57433471)
47
+ 700 val loss 7.6175
48
+ 700 val perplexity 2033.5338
49
+ 700 train 7.751812 (lr=6.9596e-05) (hash(x)=57433471)
50
+ 800 val loss 7.5873
51
+ 800 val perplexity 1972.9855
52
+ 800 train 7.505336 (lr=4.9585e-05) (hash(x)=49799291)
53
+ 800 val loss 7.5945
54
+ 800 val perplexity 1987.2598
55
+ 800 train 7.511701 (lr=6.9419e-05) (hash(x)=49799291)
56
+ 900 val loss 7.5716
57
+ 900 val perplexity 1942.1638
58
+ 900 train 7.573707 (lr=4.9436e-05) (hash(x)=49502839)
59
+ 900 val loss 7.5740
60
+ 900 val perplexity 1946.9084
61
+ 900 train 7.579421 (lr=6.9210e-05) (hash(x)=49502839)
62
+ 1000 val loss 7.5416
63
+ 1000 val perplexity 1884.8977
64
+ 1000 train 7.802229 (lr=4.9264e-05) (hash(x)=51142904)
65
+ 1000 val loss 7.5218
66
+ 1000 val perplexity 1847.9504
67
+ 1000 train 7.800779 (lr=6.8970e-05) (hash(x)=51142904)
68
+ 1100 val loss 7.5367
69
+ 1100 val perplexity 1875.6093
70
+ 1100 train 7.609015 (lr=4.9070e-05) (hash(x)=52751086)
71
+ 1100 val loss 7.5060
72
+ 1100 val perplexity 1818.8705
73
+ 1100 train 7.595724 (lr=6.8698e-05) (hash(x)=52751086)
74
+ 1200 val loss 7.5167
75
+ 1200 val perplexity 1838.4198
76
+ 1200 train 7.513431 (lr=4.8854e-05) (hash(x)=51538621)
77
+ 1200 val loss 7.4812
78
+ 1200 val perplexity 1774.2981
79
+ 1200 train 7.480718 (lr=6.8395e-05) (hash(x)=51538621)
80
+ 1300 val loss 7.5203
81
+ 1300 val perplexity 1845.1267
82
+ 1300 train 7.599769 (lr=4.8616e-05) (hash(x)=52034040)
83
+ 1300 val loss 7.4708
84
+ 1300 val perplexity 1755.9396
85
+ 1300 train 7.550740 (lr=6.8062e-05) (hash(x)=52034040)
86
+ 1400 val loss 7.4884
87
+ 1400 val perplexity 1787.2448
88
+ 1400 train 7.515759 (lr=4.8356e-05) (hash(x)=50640105)
89
+ 1400 val loss 7.4255
90
+ 1400 val perplexity 1678.2040
91
+ 1400 train 7.458371 (lr=6.7698e-05) (hash(x)=50640105)
92
+ 1500 val loss 7.4658
93
+ 1500 val perplexity 1747.2191
94
+ 1500 train 7.407789 (lr=4.8074e-05) (hash(x)=49016270)
95
+ 1500 val loss 7.3886
96
+ 1500 val perplexity 1617.4746
97
+ 1500 train 7.317589 (lr=6.7304e-05) (hash(x)=49016270)
98
+ 1600 val loss 7.4415
99
+ 1600 val perplexity 1705.3562
100
+ 1600 train 7.206252 (lr=4.7772e-05) (hash(x)=46100488)
101
+ 1700 val loss 7.4194
102
+ 1700 val perplexity 1668.0033
103
+ 1700 train 7.459988 (lr=4.7448e-05) (hash(x)=49185350)
104
+ 1600 val loss 7.3380
105
+ 1600 val perplexity 1537.6078
106
+ 1600 train 7.104100 (lr=6.6881e-05) (hash(x)=46100488)
107
+ 1800 val loss 7.3992
108
+ 1800 val perplexity 1634.6200
109
+ 1800 train 7.278754 (lr=4.7105e-05) (hash(x)=48024574)
110
+ 1700 val loss 7.2826
111
+ 1700 val perplexity 1454.7106
112
+ 1700 train 7.309137 (lr=6.6428e-05) (hash(x)=49185350)
113
+ 1900 val loss 7.3710
114
+ 1900 val perplexity 1589.1908
115
+ 1900 train 7.176445 (lr=4.6741e-05) (hash(x)=45823189)
116
+ 1800 val loss 7.2495
117
+ 1800 val perplexity 1407.4564
118
+ 1800 train 7.130040 (lr=6.5947e-05) (hash(x)=48024574)
119
+ 2000 val loss 7.3510
120
+ 2000 val perplexity 1557.7837
121
+ 2000 train 7.191787 (lr=4.6357e-05) (hash(x)=45703932)
122
+ 1900 val loss 7.2065
123
+ 1900 val perplexity 1348.1270
124
+ 1900 train 7.000680 (lr=6.5437e-05) (hash(x)=45823189)
125
+ 2100 val loss 7.3243
126
+ 2100 val perplexity 1516.6754
127
+ 2100 train 7.937493 (lr=4.5954e-05) (hash(x)=58570170)
128
+ 2000 val loss 7.1571
129
+ 2000 val perplexity 1283.1888
130
+ 2000 train 6.968543 (lr=6.4900e-05) (hash(x)=45703932)
131
+ 2200 val loss 7.3308
132
+ 2200 val perplexity 1526.6041
133
+ 2200 train 7.352339 (lr=4.5532e-05) (hash(x)=55262880)
134
+ 2100 val loss 7.1143
135
+ 2100 val perplexity 1229.3721
136
+ 2100 train 7.765666 (lr=6.4335e-05) (hash(x)=58570170)
137
+ 2300 val loss 7.2808
138
+ 2300 val perplexity 1452.1927
139
+ 2300 train 7.059850 (lr=4.5091e-05) (hash(x)=46415497)
140
+ 2200 val loss 7.0929
141
+ 2200 val perplexity 1203.3556
142
+ 2200 train 7.112502 (lr=6.3745e-05) (hash(x)=55262880)
143
+ 2400 val loss 7.2422
144
+ 2400 val perplexity 1397.1962
145
+ 2400 train 7.170742 (lr=4.4633e-05) (hash(x)=49272278)
146
+ 2300 val loss 7.0295
147
+ 2300 val perplexity 1129.4420
148
+ 2300 train 6.759797 (lr=6.3128e-05) (hash(x)=46415497)
149
+ 2500 val loss 7.2227
150
+ 2500 val perplexity 1370.1537
151
+ 2500 train 7.073672 (lr=4.4156e-05) (hash(x)=48390803)
152
+ 2400 val loss 6.9712
153
+ 2400 val perplexity 1065.5042
154
+ 2400 train 6.889137 (lr=6.2486e-05) (hash(x)=49272278)
155
+ 2600 val loss 7.1874
156
+ 2600 val perplexity 1322.6218
157
+ 2600 train 7.069160 (lr=4.3663e-05) (hash(x)=47450116)
158
+ 2500 val loss 6.9361
159
+ 2500 val perplexity 1028.7850
160
+ 2500 train 6.783605 (lr=6.1819e-05) (hash(x)=48390803)
161
+ 2700 val loss 7.1763
162
+ 2700 val perplexity 1308.1176
163
+ 2700 train 7.254964 (lr=4.3153e-05) (hash(x)=52681152)
164
+ 2800 val loss 7.1497
165
+ 2800 val perplexity 1273.7507
166
+ 2800 train 7.206081 (lr=4.2627e-05) (hash(x)=50664094)
167
+ 2600 val loss 6.8966
168
+ 2600 val perplexity 988.8942
169
+ 2600 train 6.776588 (lr=6.1128e-05) (hash(x)=47450116)
170
+ 2900 val loss 7.1360
171
+ 2900 val perplexity 1256.4001
172
+ 2900 train 6.937007 (lr=4.2085e-05) (hash(x)=47067144)
173
+ 2700 val loss 6.8688
174
+ 2700 val perplexity 961.7508
175
+ 2700 train 6.956961 (lr=6.0414e-05) (hash(x)=52681152)
176
+ 3000 val loss 7.1024
177
+ 3000 val perplexity 1214.9301
178
+ 3000 train 6.913496 (lr=4.1529e-05) (hash(x)=45015009)
179
+ 2800 val loss 6.8370
180
+ 2800 val perplexity 931.7004
181
+ 2800 train 6.900253 (lr=5.9677e-05) (hash(x)=50664094)
182
+ 3100 val loss 7.0774
183
+ 3100 val perplexity 1184.8473
184
+ 3100 train 6.905035 (lr=4.0957e-05) (hash(x)=45245896)
185
+ 2900 val loss 6.8098
186
+ 2900 val perplexity 906.7277
187
+ 2900 train 6.608460 (lr=5.8919e-05) (hash(x)=47067144)
188
+ 3200 val loss 7.0524
189
+ 3200 val perplexity 1155.6483
190
+ 3200 train 7.008028 (lr=4.0373e-05) (hash(x)=49995942)
191
+ 3000 val loss 6.7790
192
+ 3000 val perplexity 879.1960
193
+ 3000 train 6.598187 (lr=5.8140e-05) (hash(x)=45015009)
194
+ 3300 val loss 7.0304
195
+ 3300 val perplexity 1130.5018
196
+ 3300 train 6.907940 (lr=3.9775e-05) (hash(x)=52311504)
197
+ 3100 val loss 6.7659
198
+ 3100 val perplexity 867.7515
199
+ 3100 train 6.592752 (lr=5.7340e-05) (hash(x)=45245896)
200
+ 3400 val loss 6.9985
201
+ 3400 val perplexity 1094.9454
202
+ 3400 train 7.000693 (lr=3.9164e-05) (hash(x)=44332917)
203
+ 3200 val loss 6.7531
204
+ 3200 val perplexity 856.6802
205
+ 3200 train 6.716655 (lr=5.6522e-05) (hash(x)=49995942)
206
+ 3500 val loss 6.9684
207
+ 3500 val perplexity 1062.4990
208
+ 3500 train 7.082510 (lr=3.8541e-05) (hash(x)=56517159)
209
+ 3300 val loss 6.7407
210
+ 3300 val perplexity 846.1188
211
+ 3300 train 6.605199 (lr=5.5684e-05) (hash(x)=52311504)
212
+ 3600 val loss 6.9526
213
+ 3600 val perplexity 1045.8395
214
+ 3600 train 6.833664 (lr=3.7907e-05) (hash(x)=50720920)
215
+ 3400 val loss 6.7160
216
+ 3400 val perplexity 825.5479
217
+ 3400 train 6.696031 (lr=5.4829e-05) (hash(x)=44332917)
218
+ 3700 val loss 6.9372
219
+ 3700 val perplexity 1029.9263
220
+ 3700 train 7.426872 (lr=3.7262e-05) (hash(x)=62727701)
221
+ 3500 val loss 6.7101
222
+ 3500 val perplexity 820.6426
223
+ 3500 train 6.807840 (lr=5.3958e-05) (hash(x)=56517159)
224
+ 3800 val loss 6.9073
225
+ 3800 val perplexity 999.5339
226
+ 3800 train 6.755322 (lr=3.6608e-05) (hash(x)=54772539)
227
+ 3600 val loss 6.6921
228
+ 3600 val perplexity 806.0220
229
+ 3600 train 6.541726 (lr=5.3070e-05) (hash(x)=50720920)
230
+ 3900 val loss 6.8920
231
+ 3900 val perplexity 984.4092
232
+ 3900 train 6.885997 (lr=3.5944e-05) (hash(x)=52274485)
233
+ 3700 val loss 6.6747
234
+ 3700 val perplexity 792.1251
235
+ 4000 val loss 6.8666
236
+ 4000 val perplexity 959.7191
237
+ 3700 train 7.175059 (lr=5.2167e-05) (hash(x)=62727701)
238
+ 4000 train 6.580018 (lr=3.5271e-05) (hash(x)=50118307)
239
+ 4100 val loss 6.8453
240
+ 4100 val perplexity 939.4526
241
+ 4100 train 6.425397 (lr=3.4590e-05) (hash(x)=42771647)
242
+ 3800 val loss 6.6577
243
+ 3800 val perplexity 778.7675
244
+ 3800 train 6.517581 (lr=5.1251e-05) (hash(x)=54772539)
245
+ 4200 val loss 6.8241
246
+ 4200 val perplexity 919.7592
247
+ 4200 train 6.917285 (lr=3.3902e-05) (hash(x)=51748836)
248
+ 3900 val loss 6.6442
249
+ 3900 val perplexity 768.3301
250
+ 3900 train 6.636859 (lr=5.0321e-05) (hash(x)=52274485)
251
+ 4300 val loss 6.8008
252
+ 4300 val perplexity 898.5447
253
+ 4300 train 6.814617 (lr=3.3207e-05) (hash(x)=49021280)
254
+ 4000 val loss 6.6322
255
+ 4000 val perplexity 759.1318
256
+ 4000 train 6.323574 (lr=4.9379e-05) (hash(x)=50118307)
257
+ 4400 val loss 6.7751
258
+ 4400 val perplexity 875.7759
259
+ 4400 train 6.851520 (lr=3.2507e-05) (hash(x)=55200309)
260
+ 4100 val loss 6.6264
261
+ 4100 val perplexity 754.7734
262
+ 4100 train 6.207099 (lr=4.8426e-05) (hash(x)=42771647)
263
+ 4500 val loss 6.7518
264
+ 4500 val perplexity 855.5616
265
+ 4500 train 6.813970 (lr=3.1801e-05) (hash(x)=52085049)
266
+ 4200 val loss 6.6130
267
+ 4200 val perplexity 744.7159
268
+ 4200 train 6.700623 (lr=4.7463e-05) (hash(x)=51748836)
269
+ 4600 val loss 6.7426
270
+ 4600 val perplexity 847.7891
271
+ 4600 train 6.735619 (lr=3.1091e-05) (hash(x)=48935595)
272
+ 4300 val loss 6.5854
273
+ 4300 val perplexity 724.4294
274
+ 4300 train 6.597935 (lr=4.6490e-05) (hash(x)=49021280)
275
+ 4700 val loss 6.7275
276
+ 4700 val perplexity 835.0339
277
+ 4700 train 6.922513 (lr=3.0377e-05) (hash(x)=49182380)
278
+ 4400 val loss 6.5741
279
+ 4400 val perplexity 716.2935
280
+ 4400 train 6.621936 (lr=4.5509e-05) (hash(x)=55200309)
281
+ 4800 val loss 6.7063
282
+ 4800 val perplexity 817.5575
283
+ 4800 train 6.516437 (lr=2.9661e-05) (hash(x)=43941929)
284
+ 4500 val loss 6.5614
285
+ 4500 val perplexity 707.2348
286
+ 4500 train 6.612576 (lr=4.4521e-05) (hash(x)=52085049)
287
+ 4900 val loss 6.6963
288
+ 4900 val perplexity 809.4009
289
+ 4900 train 6.859163 (lr=2.8942e-05) (hash(x)=51852773)
290
+ 4600 val loss 6.5465
291
+ 4600 val perplexity 696.8232
292
+ 4600 train 6.553600 (lr=4.3527e-05) (hash(x)=48935595)
293
+ 5000 val loss 6.6846
294
+ 5000 val perplexity 800.0298
295
+ 5000 train 6.301474 (lr=2.8221e-05) (hash(x)=40509616)
296
+ 4700 val loss 6.5361
297
+ 4700 val perplexity 689.5744
298
+ 4700 train 6.776329 (lr=4.2528e-05) (hash(x)=49182380)
299
+ 5100 val loss 6.6730
300
+ 5100 val perplexity 790.7288
301
+ 5100 train 6.920803 (lr=2.7500e-05) (hash(x)=57585369)
302
+ 4800 val loss 6.5219
303
+ 4800 val perplexity 679.8577
304
+ 4800 train 6.354631 (lr=4.1525e-05) (hash(x)=43941929)
305
+ 5200 val loss 6.6732
306
+ 5200 val perplexity 790.8970
307
+ 5200 train 6.662302 (lr=2.6779e-05) (hash(x)=51042313)
308
+ 5300 val loss 6.6516
309
+ 5300 val perplexity 774.0305
310
+ 5300 train 6.798846 (lr=2.6058e-05) (hash(x)=52001684)
311
+ 4900 val loss 6.5276
312
+ 4900 val perplexity 683.7730
313
+ 4900 train 6.678216 (lr=4.0518e-05) (hash(x)=51852773)
314
+ 5400 val loss 6.6401
315
+ 5400 val perplexity 765.1759
316
+ 5400 train 6.575788 (lr=2.5339e-05) (hash(x)=48831647)
317
+ 5000 val loss 6.5124
318
+ 5000 val perplexity 673.4216
319
+ 5000 train 6.107291 (lr=3.9510e-05) (hash(x)=40509616)
320
+ 5500 val loss 6.6363
321
+ 5500 val perplexity 762.2680
322
+ 5500 train 7.035235 (lr=2.4623e-05) (hash(x)=50192069)
323
+ 5100 val loss 6.5035
324
+ 5100 val perplexity 667.4753
325
+ 5100 train 6.713647 (lr=3.8500e-05) (hash(x)=57585369)
326
+ 5600 val loss 6.6367
327
+ 5600 val perplexity 762.5941
328
+ 5600 train 6.465759 (lr=2.3909e-05) (hash(x)=47208852)
329
+ 5200 val loss 6.4972
330
+ 5200 val perplexity 663.2990
331
+ 5200 train 6.471662 (lr=3.7490e-05) (hash(x)=51042313)
332
+ 5700 val loss 6.6367
333
+ 5700 val perplexity 762.5676
334
+ 5700 train 6.232710 (lr=2.3199e-05) (hash(x)=44061694)
335
+ 5300 val loss 6.4865
336
+ 5300 val perplexity 656.2524
337
+ 5300 train 6.634539 (lr=3.6482e-05) (hash(x)=52001684)
338
+ 5800 val loss 6.6225
339
+ 5800 val perplexity 751.8287
340
+ 5800 train 7.010595 (lr=2.2493e-05) (hash(x)=56513279)
341
+ 5400 val loss 6.4770
342
+ 5400 val perplexity 650.0268
343
+ 5400 train 6.397245 (lr=3.5475e-05) (hash(x)=48831647)
344
+ 5900 val loss 6.6089
345
+ 5900 val perplexity 741.6647
346
+ 5900 train 6.761731 (lr=2.1793e-05) (hash(x)=50412818)
347
+ 5500 val loss 6.4741
348
+ 5500 val perplexity 648.1672
349
+ 5500 train 6.909862 (lr=3.4472e-05) (hash(x)=50192069)
350
+ 6000 val loss 6.6003
351
+ 6000 val perplexity 735.2872
352
+ 6000 train 6.414360 (lr=2.1098e-05) (hash(x)=47159634)
353
+ 5600 val loss 6.4683
354
+ 5600 val perplexity 644.4017
355
+ 5600 train 6.314424 (lr=3.3473e-05) (hash(x)=47208852)
356
+ 6100 val loss 6.5934
357
+ 6100 val perplexity 730.2899
358
+ 6100 train 6.695201 (lr=2.0410e-05) (hash(x)=54312795)
359
+ 5700 val loss 6.4732
360
+ 5700 val perplexity 647.5825
361
+ 5700 train 6.043439 (lr=3.2479e-05) (hash(x)=44061694)
362
+ 6200 val loss 6.5796
363
+ 6200 val perplexity 720.2858
364
+ 6200 train 6.707597 (lr=1.9729e-05) (hash(x)=54187587)
365
+ 5800 val loss 6.4643
366
+ 5800 val perplexity 641.8052
367
+ 5800 train 6.857479 (lr=3.1491e-05) (hash(x)=56513279)
368
+ 6300 val loss 6.5726
369
+ 6300 val perplexity 715.2604
370
+ 6300 train 6.670837 (lr=1.9056e-05) (hash(x)=53620387)
371
+ 6400 val loss 6.5608
372
+ 6400 val perplexity 706.8127
373
+ 6400 train 6.493462 (lr=1.8392e-05) (hash(x)=48761774)
374
+ 5900 val loss 6.4570
375
+ 5900 val perplexity 637.1591
376
+ 5900 train 6.608946 (lr=3.0510e-05) (hash(x)=50412818)
377
+ 6500 val loss 6.5542
378
+ 6500 val perplexity 702.1666
379
+ 6500 train 6.777394 (lr=1.7738e-05) (hash(x)=56690281)
380
+ 6000 val loss 6.4471
381
+ 6000 val perplexity 630.8537
382
+ 6000 train 6.271699 (lr=2.9537e-05) (hash(x)=47159634)
383
+ 6600 val loss 6.5486
384
+ 6600 val perplexity 698.2621
385
+ 6600 train 6.347186 (lr=1.7093e-05) (hash(x)=42985269)
386
+ 6100 val loss 6.4398
387
+ 6100 val perplexity 626.2506
388
+ 6100 train 6.526561 (lr=2.8574e-05) (hash(x)=54312795)
389
+ 6700 val loss 6.5654
390
+ 6700 val perplexity 710.0743
391
+ 6700 train 6.615873 (lr=1.6459e-05) (hash(x)=53315447)
392
+ 6200 val loss 6.4319
393
+ 6200 val perplexity 621.3448
394
+ 6200 train 6.558974 (lr=2.7621e-05) (hash(x)=54187587)
395
+ 6800 val loss 6.5371
396
+ 6800 val perplexity 690.3044
397
+ 6800 train 7.013281 (lr=1.5836e-05) (hash(x)=61577166)
398
+ 6300 val loss 6.4216
399
+ 6300 val perplexity 615.0062
400
+ 6300 train 6.523766 (lr=2.6679e-05) (hash(x)=53620387)
401
+ 6900 val loss 6.5317
402
+ 6900 val perplexity 686.5308
403
+ 6900 train 6.668251 (lr=1.5225e-05) (hash(x)=54641005)
404
+ 6400 val loss 6.4139
405
+ 6400 val perplexity 610.2687
406
+ 6400 train 6.355747 (lr=2.5749e-05) (hash(x)=48761774)
407
+ 7000 val loss 6.5290
408
+ 7000 val perplexity 684.6970
409
+ 7000 train 7.082861 (lr=1.4627e-05) (hash(x)=60579512)
410
+ 6500 val loss 6.4031
411
+ 6500 val perplexity 603.6854
412
+ 6500 train 6.621194 (lr=2.4833e-05) (hash(x)=56690281)
413
+ 7100 val loss 6.5275
414
+ 7100 val perplexity 683.7108
415
+ 7100 train 6.407035 (lr=1.4043e-05) (hash(x)=53151549)
416
+ 6600 val loss 6.4005
417
+ 6600 val perplexity 602.1273
418
+ 6600 train 6.214245 (lr=2.3930e-05) (hash(x)=42985269)
419
+ 7200 val loss 6.5212
420
+ 7200 val perplexity 679.3991
421
+ 7200 train 7.457515 (lr=1.3471e-05) (hash(x)=71842455)
422
+ 6700 val loss 6.4037
423
+ 6700 val perplexity 604.0975
424
+ 6700 train 6.470212 (lr=2.3042e-05) (hash(x)=53315447)
425
+ 7300 val loss 6.5188
426
+ 7300 val perplexity 677.7803
427
+ 7300 train 6.291944 (lr=1.2915e-05) (hash(x)=44516452)
428
+ 6800 val loss 6.3889
429
+ 6800 val perplexity 595.2116
430
+ 6800 train 6.838380 (lr=2.2171e-05) (hash(x)=61577166)
431
+ 7400 val loss 6.5163
432
+ 7400 val perplexity 676.0811
433
+ 7400 train 6.169219 (lr=1.2373e-05) (hash(x)=42667710)
434
+ 6900 val loss 6.3828
435
+ 6900 val perplexity 591.6084
436
+ 6900 train 6.541791 (lr=2.1316e-05) (hash(x)=54641005)
437
+ 7500 val loss 6.5125
438
+ 7500 val perplexity 673.5272
439
+ 7500 train 6.262584 (lr=1.1847e-05) (hash(x)=47050797)
440
+ 7600 val loss 6.5128
441
+ 7600 val perplexity 673.7106
442
+ 7000 val loss 6.3797
443
+ 7000 val perplexity 589.7284
444
+ 7600 train 6.422743 (lr=1.1337e-05) (hash(x)=49785056)
445
+ 7000 train 6.912982 (lr=2.0478e-05) (hash(x)=60579512)
446
+ 7700 val loss 6.5022
447
+ 7700 val perplexity 666.5777
448
+ 7700 train 6.310266 (lr=1.0844e-05) (hash(x)=53232030)
449
+ 7100 val loss 6.3786
450
+ 7100 val perplexity 589.1092
451
+ 7100 train 6.265176 (lr=1.9660e-05) (hash(x)=53151549)
452
+ 7800 val loss 6.4957
453
+ 7800 val perplexity 662.2895
454
+ 7800 train 6.329096 (lr=1.0367e-05) (hash(x)=48049749)
455
+ 7200 val loss 6.3746
456
+ 7200 val perplexity 586.7686
457
+ 7200 train 7.320697 (lr=1.8860e-05) (hash(x)=71842455)
458
+ 7900 val loss 6.4906
459
+ 7900 val perplexity 658.9155
460
+ 7900 train 6.314969 (lr=9.9088e-06) (hash(x)=44768513)
461
+ 7300 val loss 6.3713
462
+ 7300 val perplexity 584.7982
463
+ 7300 train 6.152587 (lr=1.8081e-05) (hash(x)=44516452)
464
+ 8000 val loss 6.4841
465
+ 8000 val perplexity 654.6609
466
+ 8000 train 6.349458 (lr=9.4682e-06) (hash(x)=46228039)
467
+ 7400 val loss 6.3714
468
+ 7400 val perplexity 584.8604
469
+ 7400 train 6.004220 (lr=1.7323e-05) (hash(x)=42667710)
470
+ 8100 val loss 6.4850
471
+ 8100 val perplexity 655.2425
472
+ 8100 train 6.849713 (lr=9.0461e-06) (hash(x)=60017091)
473
+ 7500 val loss 6.3709
474
+ 7500 val perplexity 584.6019
475
+ 7500 train 6.115476 (lr=1.6586e-05) (hash(x)=47050797)
476
+ 8200 val loss 6.4761
477
+ 8200 val perplexity 649.4072
478
+ 8200 train 6.484280 (lr=8.6430e-06) (hash(x)=49910198)
479
+ 7600 val loss 6.3649
480
+ 7600 val perplexity 581.0688
481
+ 7600 train 6.270297 (lr=1.5872e-05) (hash(x)=49785056)
482
+ 8300 val loss 6.4709
483
+ 8300 val perplexity 646.0813
484
+ 8300 train 6.789174 (lr=8.2593e-06) (hash(x)=57919055)
485
+ 7700 val loss 6.3568
486
+ 7700 val perplexity 576.3995
487
+ 7700 train 6.166145 (lr=1.5181e-05) (hash(x)=53232030)
488
+ 8400 val loss 6.4732
489
+ 8400 val perplexity 647.5664
490
+ 8400 train 6.565013 (lr=7.8953e-06) (hash(x)=49694964)
491
+ 7800 val loss 6.3557
492
+ 7800 val perplexity 575.7751
493
+ 7800 train 6.184354 (lr=1.4514e-05) (hash(x)=48049749)
494
+ 8500 val loss 6.4678
495
+ 8500 val perplexity 644.0825
496
+ 8500 train 6.496820 (lr=7.5515e-06) (hash(x)=53762585)
497
+ 7900 val loss 6.3477
498
+ 7900 val perplexity 571.2045
499
+ 7900 train 6.176773 (lr=1.3872e-05) (hash(x)=44768513)
500
+ 8600 val loss 6.4652
501
+ 8600 val perplexity 642.3760
502
+ 8600 train 6.497360 (lr=7.2282e-06) (hash(x)=51166973)
503
+ 8000 val loss 6.3411
504
+ 8000 val perplexity 567.4194
505
+ 8000 train 6.197558 (lr=1.3255e-05) (hash(x)=46228039)
506
+ 8700 val loss 6.4624
507
+ 8700 val perplexity 640.6073
508
+ 8700 train 6.541679 (lr=6.9257e-06) (hash(x)=53968049)
509
+ 8100 val loss 6.3394
510
+ 8100 val perplexity 566.4333
511
+ 8100 train 6.685860 (lr=1.2665e-05) (hash(x)=60017091)
512
+ 8800 val loss 6.4577
513
+ 8800 val perplexity 637.6141
514
+ 8800 train 6.545799 (lr=6.6444e-06) (hash(x)=59231056)
515
+ 8200 val loss 6.3328
516
+ 8200 val perplexity 562.7375
517
+ 8200 train 6.369884 (lr=1.2100e-05) (hash(x)=49910198)
518
+ 8900 val loss 6.4566
519
+ 8900 val perplexity 636.8945
520
+ 8900 train 6.358093 (lr=6.3845e-06) (hash(x)=50488048)
521
+ 8300 val loss 6.3289
522
+ 8300 val perplexity 560.5214
523
+ 8300 train 6.634696 (lr=1.1563e-05) (hash(x)=57919055)
524
+ 9000 val loss 6.4566
525
+ 9000 val perplexity 636.9036
526
+ 9000 train 6.185684 (lr=6.1462e-06) (hash(x)=44492956)
527
+ 8400 val loss 6.3304
528
+ 8400 val perplexity 561.3581
529
+ 8400 train 6.415321 (lr=1.1053e-05) (hash(x)=49694964)
530
+ 9100 val loss 6.4624
531
+ 9100 val perplexity 640.5786
532
+ 9100 train 6.489594 (lr=5.9300e-06) (hash(x)=51134989)
533
+ 8500 val loss 6.3274
534
+ 8500 val perplexity 559.7225
535
+ 8500 train 6.364176 (lr=1.0572e-05) (hash(x)=53762585)
536
+ 9200 val loss 6.4543
537
+ 9200 val perplexity 635.4424
538
+ 9200 train 6.258815 (lr=5.7359e-06) (hash(x)=48636056)
539
+ 9300 val loss 6.4538
540
+ 9300 val perplexity 635.1309
541
+ 9300 train 6.410451 (lr=5.5641e-06) (hash(x)=50200551)
542
+ 8600 val loss 6.3260
543
+ 8600 val perplexity 558.9059
544
+ 8600 train 6.361839 (lr=1.0119e-05) (hash(x)=51166973)
545
+ 9400 val loss 6.4542
546
+ 9400 val perplexity 635.3648
547
+ 9400 train 6.281915 (lr=5.4149e-06) (hash(x)=48057228)
548
+ 8700 val loss 6.3224
549
+ 8700 val perplexity 556.8817
550
+ 8700 train 6.396859 (lr=9.6960e-06) (hash(x)=53968049)
551
+ 9500 val loss 6.4501
552
+ 9500 val perplexity 632.7894
553
+ 9500 train 6.230661 (lr=5.2884e-06) (hash(x)=48125171)
554
+ 8800 val loss 6.3167
555
+ 8800 val perplexity 553.7402
556
+ 8800 train 6.420463 (lr=9.3021e-06) (hash(x)=59231056)
557
+ 9600 val loss 6.4492
558
+ 9600 val perplexity 632.1690
559
+ 9600 train 6.376224 (lr=5.1847e-06) (hash(x)=53375853)
560
+ 8900 val loss 6.3177
561
+ 8900 val perplexity 554.2752
562
+ 8900 train 6.200024 (lr=8.9382e-06) (hash(x)=50488048)
563
+ 9700 val loss 6.4451
564
+ 9700 val perplexity 629.6221
565
+ 9700 train 7.265676 (lr=5.1040e-06) (hash(x)=53924631)
566
+ 9000 val loss 6.3171
567
+ 9000 val perplexity 553.9613
568
+ 9000 train 6.043607 (lr=8.6047e-06) (hash(x)=44492956)
569
+ 9800 val loss 6.4416
570
+ 9800 val perplexity 627.3945
571
+ 9800 train 6.482964 (lr=5.0462e-06) (hash(x)=48895047)
572
+ 9100 val loss 6.3195
573
+ 9100 val perplexity 555.2841
574
+ 9100 train 6.320802 (lr=8.3020e-06) (hash(x)=51134989)
575
+ 9900 val loss 6.4396
576
+ 9900 val perplexity 626.1697
577
+ 9900 train 6.285259 (lr=5.0116e-06) (hash(x)=44269923)
578
+ 9200 val loss 6.3156
579
+ 9200 val perplexity 553.1354
580
+ 9200 train 6.110624 (lr=8.0302e-06) (hash(x)=48636056)
581
+ 9999 val loss 6.4422
582
+ 9999 val perplexity 627.8090
583
+ 9300 val loss 6.3171
584
+ 9300 val perplexity 553.9850
585
+ 9300 train 6.267875 (lr=7.7898e-06) (hash(x)=50200551)
586
+ 9400 val loss 6.3169
587
+ 9400 val perplexity 553.8564
588
+ 9400 train 6.124255 (lr=7.5809e-06) (hash(x)=48057228)
589
+ 9500 val loss 6.3137
590
+ 9500 val perplexity 552.0832
591
+ 9500 train 6.094636 (lr=7.4038e-06) (hash(x)=48125171)
attention_kindselective_n_heads2_seed1341/model_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:61917b2061d550c01c6a13d915f7eddbd256ab6e650148187f75cdce6cacbc7b
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:770772d03e0266a5c13e9dd699e1d8542d7e85d6fc0ca58c6198e7ffb1fd50d5
3
  size 38587970
attention_kindselective_n_heads2_seed1341/model_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4cf822d46768dc68a2e287a6477f6a972e531f4ac2b6bee3659c053eddf6833b
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eae1983e9e16868647435651d905f85497a66f8a826b7be5246cb3a2f33b91d6
3
  size 38587970
attention_kindselective_n_heads2_seed1341/model_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0d74f40d28c5bcaeacec475043051481eb3c1cac5909bf8266749547ca031e5c
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb6c178c3fdcbf43ee518d9bd77f7a3e5de3634668cee9c5492f260f40c7ec9c
3
  size 38587970
attention_kindselective_n_heads2_seed1341/model_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:92515d22afc83810717ffa953962bfbf259bbbb4453961f59c3ddb677c9b5e0e
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0927621769e86865fd11c7c2ac120514613ed33d559219ce56792a9196b3a0e8
3
  size 38587970
attention_kindselective_n_heads2_seed1341/optimizer_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0691eaba89da72b0b9e028c1b0f83917e0f6c2436c82b31b0d7e187f615e83e6
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5da108cf7f292280f70d1ac7c1ea29e4f23fdd5281ff47d321797c160fd27319
3
  size 70895430
attention_kindselective_n_heads2_seed1341/optimizer_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:302fd87b96897189d938f9764920b673f8b54755f7112d2a04192fea75f999e4
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d305362d87fc48b343eba618199eed878c187e6eeeaf203e0d43d014df56b50d
3
  size 70895430
attention_kindselective_n_heads2_seed1341/optimizer_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3bf07f379520069eceb45d10e1bc257b623074ee5e9d9c913d6d34a09b07f476
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:25ca1280e09913927209fd304d196bcd3f957063396e0e06ee1f2b6e0d41af19
3
  size 70895430
attention_kindselective_n_heads2_seed1341/optimizer_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:03daeb14bf6ca8dcc9eded806955bb32da689c8c248d32e57fe4b5e2d430be28
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8cade60da08fc83cbddf22af2ab6080ef30ec634d051725fd7c91acbd24a7a43
3
  size 70895430