andrew-healey commited on
Commit
85e2149
·
verified ·
1 Parent(s): f61ac5d

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads2_seed1339/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_4/attention_kindselective_n_heads2_seed1339", "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": 1339, "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_1339", "n_embd": 128}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_6/attention_kindselective_n_heads2_seed1339", "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": 1339, "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": 7e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "7e-5_10240_2_1339", "n_embd": 128}
attention_kindselective_n_heads2_seed1339/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_seed1339/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_seed1339/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_seed1339/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_seed1339/log2.txt CHANGED
@@ -1,303 +1,605 @@
1
  max_steps: 10000
2
- 0 val loss 11.7467
3
- 0 val perplexity 126331.5391
4
- 0 train 11.740535 (lr=1.5000e-07) (hash(x)=150724848)
5
- 100 val loss 10.5531
6
- 100 val perplexity 38296.7969
7
- 100 train 10.582304 (lr=1.5150e-05) (hash(x)=149217061)
8
- 200 val loss 9.7262
9
- 200 val perplexity 16750.0762
10
- 200 train 9.707881 (lr=3.0000e-05) (hash(x)=149910534)
11
- 300 val loss 8.5429
12
- 300 val perplexity 5130.0444
13
- 300 train 8.481003 (lr=2.9993e-05) (hash(x)=142185643)
14
- 400 val loss 7.9918
15
- 400 val perplexity 2956.5107
16
- 400 train 8.018432 (lr=2.9972e-05) (hash(x)=148123706)
17
- 500 val loss 7.7440
18
- 500 val perplexity 2307.6658
19
- 500 train 7.625622 (lr=2.9938e-05) (hash(x)=149952383)
20
- 600 val loss 7.6583
21
- 600 val perplexity 2118.1472
22
- 600 train 7.492473 (lr=2.9889e-05) (hash(x)=146678221)
23
- 700 val loss 7.6015
24
- 700 val perplexity 2001.2423
25
- 700 train 7.618642 (lr=2.9827e-05) (hash(x)=156180736)
26
- 800 val loss 7.5754
27
- 800 val perplexity 1949.5923
28
- 800 train 7.563412 (lr=2.9751e-05) (hash(x)=151700982)
29
- 900 val loss 7.5546
30
- 900 val perplexity 1909.5804
31
- 900 train 7.378692 (lr=2.9662e-05) (hash(x)=147288467)
32
- 1000 val loss 7.5409
33
- 1000 val perplexity 1883.4944
34
- 1000 train 7.593865 (lr=2.9558e-05) (hash(x)=156182087)
35
- 1100 val loss 7.5328
36
- 1100 val perplexity 1868.2631
37
- 1100 train 7.420054 (lr=2.9442e-05) (hash(x)=147861550)
38
- 1200 val loss 7.5242
39
- 1200 val perplexity 1852.2574
40
- 1200 train 7.404797 (lr=2.9312e-05) (hash(x)=149318660)
41
- 1300 val loss 7.5252
42
- 1300 val perplexity 1854.2634
43
- 1300 train 7.397731 (lr=2.9169e-05) (hash(x)=151631103)
44
- 1400 val loss 7.5227
45
- 1400 val perplexity 1849.5629
46
- 1400 train 7.571448 (lr=2.9013e-05) (hash(x)=150482428)
47
- 1500 val loss 7.5023
48
- 1500 val perplexity 1812.2666
49
- 1500 train 7.358995 (lr=2.8845e-05) (hash(x)=144458617)
50
- 1600 val loss 7.4812
51
- 1600 val perplexity 1774.3268
52
- 1600 train 7.361270 (lr=2.8663e-05) (hash(x)=143268605)
53
- 1700 val loss 7.4645
54
- 1700 val perplexity 1744.9453
55
- 1700 train 7.396727 (lr=2.8469e-05) (hash(x)=150817011)
56
- 1800 val loss 7.4566
57
- 1800 val perplexity 1731.2513
58
- 1800 train 7.454478 (lr=2.8263e-05) (hash(x)=152322423)
59
- 1900 val loss 7.4449
60
- 1900 val perplexity 1711.1436
61
- 1900 train 7.286794 (lr=2.8044e-05) (hash(x)=143574126)
62
- 2000 val loss 7.4327
63
- 2000 val perplexity 1690.3496
64
- 2000 train 7.217881 (lr=2.7814e-05) (hash(x)=147904298)
65
- 2100 val loss 7.4200
66
- 2100 val perplexity 1669.0591
67
- 2100 train 7.191989 (lr=2.7572e-05) (hash(x)=144719400)
68
- 2200 val loss 7.4000
69
- 2200 val perplexity 1635.9027
70
- 2200 train 7.653648 (lr=2.7319e-05) (hash(x)=154343147)
71
- 2300 val loss 7.3701
72
- 2300 val perplexity 1587.8517
73
- 2300 train 7.430760 (lr=2.7055e-05) (hash(x)=154372635)
74
- 2400 val loss 7.3509
75
- 2400 val perplexity 1557.6462
76
- 2400 train 7.204432 (lr=2.6780e-05) (hash(x)=141843115)
77
- 2500 val loss 7.3293
78
- 2500 val perplexity 1524.2460
79
- 2500 train 7.223310 (lr=2.6494e-05) (hash(x)=149417679)
80
- 2600 val loss 7.3065
81
- 2600 val perplexity 1489.9070
82
- 2600 train 7.167060 (lr=2.6198e-05) (hash(x)=145279030)
83
- 2700 val loss 7.2811
84
- 2700 val perplexity 1452.5431
85
- 2700 train 7.161134 (lr=2.5892e-05) (hash(x)=146363911)
86
- 2800 val loss 7.2621
87
- 2800 val perplexity 1425.2209
88
- 2800 train 7.244130 (lr=2.5576e-05) (hash(x)=152507639)
89
- 2900 val loss 7.2392
90
- 2900 val perplexity 1392.9362
91
- 2900 train 7.028590 (lr=2.5251e-05) (hash(x)=139296191)
92
- 3000 val loss 7.2215
93
- 3000 val perplexity 1368.5748
94
- 3000 train 7.244356 (lr=2.4917e-05) (hash(x)=148473774)
95
- 3100 val loss 7.1779
96
- 3100 val perplexity 1310.1744
97
- 3100 train 7.289028 (lr=2.4574e-05) (hash(x)=154130527)
98
- 3200 val loss 7.1512
99
- 3200 val perplexity 1275.6593
100
- 3200 train 7.077964 (lr=2.4224e-05) (hash(x)=151117002)
101
- 3300 val loss 7.1260
102
- 3300 val perplexity 1243.9489
103
- 3300 train 7.227322 (lr=2.3865e-05) (hash(x)=151035383)
104
- 3400 val loss 7.0967
105
- 3400 val perplexity 1207.9542
106
- 3400 train 7.183464 (lr=2.3498e-05) (hash(x)=150614749)
107
- 3500 val loss 7.0740
108
- 3500 val perplexity 1180.8242
109
- 3500 train 7.129180 (lr=2.3125e-05) (hash(x)=151431391)
110
- 3600 val loss 7.0466
111
- 3600 val perplexity 1148.9330
112
- 3600 train 6.987071 (lr=2.2744e-05) (hash(x)=151140797)
113
- 3700 val loss 7.0165
114
- 3700 val perplexity 1114.8676
115
- 3700 train 7.249604 (lr=2.2357e-05) (hash(x)=154608340)
116
- 3800 val loss 6.9886
117
- 3800 val perplexity 1084.2018
118
- 3800 train 7.016414 (lr=2.1965e-05) (hash(x)=169641309)
119
- 3900 val loss 6.9617
120
- 3900 val perplexity 1055.3744
121
- 3900 train 6.910209 (lr=2.1566e-05) (hash(x)=150592479)
122
- 4000 val loss 6.9326
123
- 4000 val perplexity 1025.2000
124
- 4000 train 6.902418 (lr=2.1162e-05) (hash(x)=155495317)
125
- 4100 val loss 6.9115
126
- 4100 val perplexity 1003.7407
127
- 4100 train 7.114289 (lr=2.0754e-05) (hash(x)=170323970)
128
- 4200 val loss 6.8869
129
- 4200 val perplexity 979.3690
130
- 4200 train 6.689180 (lr=2.0341e-05) (hash(x)=140854360)
131
- 4300 val loss 6.8560
132
- 4300 val perplexity 949.5716
133
- 4300 train 6.847187 (lr=1.9924e-05) (hash(x)=148926644)
134
- 4400 val loss 6.8237
135
- 4400 val perplexity 919.4199
136
- 4400 train 6.867269 (lr=1.9504e-05) (hash(x)=149997871)
137
- 4500 val loss 6.7989
138
- 4500 val perplexity 896.8582
139
- 4500 train 6.745916 (lr=1.9081e-05) (hash(x)=149219289)
140
- 4600 val loss 6.7731
141
- 4600 val perplexity 874.0312
142
- 4600 train 6.579295 (lr=1.8655e-05) (hash(x)=139836197)
143
- 4700 val loss 6.7550
144
- 4700 val perplexity 858.2997
145
- 4700 train 6.710022 (lr=1.8226e-05) (hash(x)=150722883)
146
- 4800 val loss 6.7303
147
- 4800 val perplexity 837.4395
148
- 4800 train 6.927665 (lr=1.7796e-05) (hash(x)=166864648)
149
- 4900 val loss 6.7064
150
- 4900 val perplexity 817.6269
151
- 4900 train 6.820303 (lr=1.7365e-05) (hash(x)=157746743)
152
- 5000 val loss 6.6780
153
- 5000 val perplexity 794.7618
154
- 5000 train 6.646445 (lr=1.6933e-05) (hash(x)=153032257)
155
- 5100 val loss 6.6568
156
- 5100 val perplexity 778.0281
157
- 5100 train 6.741875 (lr=1.6500e-05) (hash(x)=151862371)
158
- 5200 val loss 6.6357
159
- 5200 val perplexity 761.8054
160
- 5200 train 6.965239 (lr=1.6067e-05) (hash(x)=168862995)
161
- 5300 val loss 6.6194
162
- 5300 val perplexity 749.4685
163
- 5300 train 6.594924 (lr=1.5635e-05) (hash(x)=148243567)
164
- 5400 val loss 6.6047
165
- 5400 val perplexity 738.5341
166
- 5400 train 6.526024 (lr=1.5204e-05) (hash(x)=145381742)
167
- 5500 val loss 6.5829
168
- 5500 val perplexity 722.6185
169
- 5500 train 6.733404 (lr=1.4774e-05) (hash(x)=155602174)
170
- 5600 val loss 6.5620
171
- 5600 val perplexity 707.6592
172
- 5600 train 6.655446 (lr=1.4345e-05) (hash(x)=160637672)
173
- 5700 val loss 6.5480
174
- 5700 val perplexity 697.8254
175
- 5700 train 6.487575 (lr=1.3919e-05) (hash(x)=152101131)
176
- 5800 val loss 6.5325
177
- 5800 val perplexity 687.1360
178
- 5800 train 6.491645 (lr=1.3496e-05) (hash(x)=152327089)
179
- 5900 val loss 6.5261
180
- 5900 val perplexity 682.7640
181
- 5900 train 6.454029 (lr=1.3076e-05) (hash(x)=151094543)
182
- 6000 val loss 6.5148
183
- 6000 val perplexity 675.0368
184
- 6000 train 6.621383 (lr=1.2659e-05) (hash(x)=160233315)
185
- 6100 val loss 6.4954
186
- 6100 val perplexity 662.1202
187
- 6100 train 6.595299 (lr=1.2246e-05) (hash(x)=158295337)
188
- 6200 val loss 6.4802
189
- 6200 val perplexity 652.1130
190
- 6200 train 6.442608 (lr=1.1838e-05) (hash(x)=151269817)
191
- 6300 val loss 6.4713
192
- 6300 val perplexity 646.3232
193
- 6300 train 6.575415 (lr=1.1434e-05) (hash(x)=156912756)
194
- 6400 val loss 6.4603
195
- 6400 val perplexity 639.2235
196
- 6400 train 6.395647 (lr=1.1035e-05) (hash(x)=125779637)
197
- 6500 val loss 6.4595
198
- 6500 val perplexity 638.7330
199
- 6500 train 6.357163 (lr=1.0643e-05) (hash(x)=148157661)
200
- 6600 val loss 6.4493
201
- 6600 val perplexity 632.2552
202
- 6600 train 6.514656 (lr=1.0256e-05) (hash(x)=152820049)
203
- 6700 val loss 6.4382
204
- 6700 val perplexity 625.2979
205
- 6700 train 6.391938 (lr=9.8753e-06) (hash(x)=155818717)
206
- 6800 val loss 6.4283
207
- 6800 val perplexity 619.1412
208
- 6800 train 6.463234 (lr=9.5017e-06) (hash(x)=158833881)
209
- 6900 val loss 6.4202
210
- 6900 val perplexity 614.1420
211
- 6900 train 6.413707 (lr=9.1353e-06) (hash(x)=164984909)
212
- 7000 val loss 6.4139
213
- 7000 val perplexity 610.2620
214
- 7000 train 6.291857 (lr=8.7764e-06) (hash(x)=151172493)
215
- 7100 val loss 6.4110
216
- 7100 val perplexity 608.5116
217
- 7100 train 6.417180 (lr=8.4255e-06) (hash(x)=154023633)
218
- 7200 val loss 6.4018
219
- 7200 val perplexity 602.9565
220
- 7200 train 6.265404 (lr=8.0829e-06) (hash(x)=139351250)
221
- 7300 val loss 6.3948
222
- 7300 val perplexity 598.6977
223
- 7300 train 6.346671 (lr=7.7489e-06) (hash(x)=158719458)
224
- 7400 val loss 6.3858
225
- 7400 val perplexity 593.3685
226
- 7400 train 6.486239 (lr=7.4239e-06) (hash(x)=162250810)
227
- 7500 val loss 6.3777
228
- 7500 val perplexity 588.5457
229
- 7500 train 6.237173 (lr=7.1083e-06) (hash(x)=142827557)
230
- 7600 val loss 6.3751
231
- 7600 val perplexity 587.0210
232
- 7600 train 6.279722 (lr=6.8023e-06) (hash(x)=147830801)
233
- 7700 val loss 6.3701
234
- 7700 val perplexity 584.0976
235
- 7700 train 6.498811 (lr=6.5062e-06) (hash(x)=165233314)
236
- 7800 val loss 6.3656
237
- 7800 val perplexity 581.5134
238
- 7800 train 6.361984 (lr=6.2205e-06) (hash(x)=160654717)
239
- 7900 val loss 6.3624
240
- 7900 val perplexity 579.6442
241
- 7900 train 6.218457 (lr=5.9453e-06) (hash(x)=140712586)
242
- 8000 val loss 6.3538
243
- 8000 val perplexity 574.6667
244
- 8000 train 6.490506 (lr=5.6809e-06) (hash(x)=150309061)
245
- 8100 val loss 6.3507
246
- 8100 val perplexity 572.8998
247
- 8100 train 6.403825 (lr=5.4277e-06) (hash(x)=158805466)
248
- 8200 val loss 6.3458
249
- 8200 val perplexity 570.1182
250
- 8200 train 6.204818 (lr=5.1858e-06) (hash(x)=142814078)
251
- 8300 val loss 6.3424
252
- 8300 val perplexity 568.1640
253
- 8300 train 6.298479 (lr=4.9556e-06) (hash(x)=148340417)
254
- 8400 val loss 6.3400
255
- 8400 val perplexity 566.7823
256
- 8400 train 6.272801 (lr=4.7372e-06) (hash(x)=157132639)
257
- 8500 val loss 6.3395
258
- 8500 val perplexity 566.5011
259
- 8500 train 6.289837 (lr=4.5309e-06) (hash(x)=152994240)
260
- 8600 val loss 6.3312
261
- 8600 val perplexity 561.8377
262
- 8600 train 6.268798 (lr=4.3369e-06) (hash(x)=152210154)
263
- 8700 val loss 6.3291
264
- 8700 val perplexity 560.6460
265
- 8700 train 6.383264 (lr=4.1554e-06) (hash(x)=149631247)
266
- 8800 val loss 6.3247
267
- 8800 val perplexity 558.1961
268
- 8800 train 6.177348 (lr=3.9866e-06) (hash(x)=145617784)
269
- 8900 val loss 6.3224
270
- 8900 val perplexity 556.9269
271
- 8900 train 6.424631 (lr=3.8307e-06) (hash(x)=155984970)
272
- 9000 val loss 6.3215
273
- 9000 val perplexity 556.4344
274
- 9000 train 6.062396 (lr=3.6877e-06) (hash(x)=143433013)
275
- 9100 val loss 6.3194
276
- 9100 val perplexity 555.2563
277
- 9100 train 6.223702 (lr=3.5580e-06) (hash(x)=152507533)
278
- 9200 val loss 6.3143
279
- 9200 val perplexity 552.4195
280
- 9200 train 6.450141 (lr=3.4415e-06) (hash(x)=162400650)
281
- 9300 val loss 6.3106
282
- 9300 val perplexity 550.4012
283
- 9300 train 6.372156 (lr=3.3385e-06) (hash(x)=148419068)
284
- 9400 val loss 6.3096
285
- 9400 val perplexity 549.8129
286
- 9400 train 6.264310 (lr=3.2490e-06) (hash(x)=145025169)
287
- 9500 val loss 6.3079
288
- 9500 val perplexity 548.9128
289
- 9500 train 6.279797 (lr=3.1730e-06) (hash(x)=145104235)
290
- 9600 val loss 6.3075
291
- 9600 val perplexity 548.6482
292
- 9600 train 6.231697 (lr=3.1108e-06) (hash(x)=150499797)
293
- 9700 val loss 6.3053
294
- 9700 val perplexity 547.4417
295
- 9700 train 6.115508 (lr=3.0624e-06) (hash(x)=139690022)
296
- 9800 val loss 6.3002
297
- 9800 val perplexity 544.6938
298
- 9800 train 6.280835 (lr=3.0277e-06) (hash(x)=145645279)
299
- 9900 val loss 6.2976
300
- 9900 val perplexity 543.2441
301
- 9900 train 6.197763 (lr=3.0069e-06) (hash(x)=150103432)
302
- 9999 val loss 6.2956
303
- 9999 val perplexity 542.2076
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  max_steps: 10000
2
+ 0 val loss 11.7444
3
+ 0 val perplexity 126046.6875
4
+ 0 val loss 11.7444
5
+ 0 val perplexity 126046.6875
6
+ 0 train 11.717561 (lr=2.5000e-07) (hash(x)=55241167)
7
+ 0 train 11.717561 (lr=3.5000e-07) (hash(x)=55241167)
8
+ 100 val loss 10.4190
9
+ 100 val perplexity 33488.9922
10
+ 100 train 10.355477 (lr=2.5250e-05) (hash(x)=46387919)
11
+ 100 val loss 10.2610
12
+ 100 val perplexity 28596.4766
13
+ 100 train 10.199209 (lr=3.5350e-05) (hash(x)=46387919)
14
+ 200 val loss 9.2623
15
+ 200 val perplexity 10532.9053
16
+ 200 train 9.287925 (lr=5.0000e-05) (hash(x)=51276369)
17
+ 200 val loss 8.4121
18
+ 200 val perplexity 4501.1421
19
+ 200 train 8.450884 (lr=7.0000e-05) (hash(x)=51276369)
20
+ 300 val loss 8.2291
21
+ 300 val perplexity 3748.2771
22
+ 300 train 8.188359 (lr=4.9988e-05) (hash(x)=48572728)
23
+ 300 val loss 7.8747
24
+ 300 val perplexity 2629.9775
25
+ 300 train 7.822401 (lr=6.9984e-05) (hash(x)=48572728)
26
+ 400 val loss 7.8660
27
+ 400 val perplexity 2606.9949
28
+ 400 train 7.633432 (lr=4.9954e-05) (hash(x)=44943400)
29
+ 400 val loss 7.6837
30
+ 400 val perplexity 2172.7102
31
+ 400 train 7.420489 (lr=6.9935e-05) (hash(x)=44943400)
32
+ 500 val loss 7.7288
33
+ 500 val perplexity 2272.7871
34
+ 500 train 7.606852 (lr=4.9896e-05) (hash(x)=48434590)
35
+ 500 val loss 7.6470
36
+ 500 val perplexity 2094.3916
37
+ 500 train 7.546611 (lr=6.9854e-05) (hash(x)=48434590)
38
+ 600 val loss 7.6689
39
+ 600 val perplexity 2140.6326
40
+ 600 train 7.521816 (lr=4.9815e-05) (hash(x)=47442266)
41
+ 600 val loss 7.6314
42
+ 600 val perplexity 2061.8621
43
+ 600 train 7.487195 (lr=6.9741e-05) (hash(x)=47442266)
44
+ 700 val loss 7.6457
45
+ 700 val perplexity 2091.6689
46
+ 700 train 7.700227 (lr=4.9712e-05) (hash(x)=56495712)
47
+ 700 val loss 7.6084
48
+ 700 val perplexity 2015.0454
49
+ 700 train 7.655407 (lr=6.9596e-05) (hash(x)=56495712)
50
+ 800 val loss 7.6335
51
+ 800 val perplexity 2066.2261
52
+ 800 train 7.637799 (lr=4.9585e-05) (hash(x)=50093738)
53
+ 800 val loss 7.5885
54
+ 800 val perplexity 1975.3878
55
+ 800 train 7.582485 (lr=6.9419e-05) (hash(x)=50093738)
56
+ 900 val loss 7.6268
57
+ 900 val perplexity 2052.5078
58
+ 900 train 7.591948 (lr=4.9436e-05) (hash(x)=49436061)
59
+ 900 val loss 7.5637
60
+ 900 val perplexity 1926.9707
61
+ 900 train 7.522345 (lr=6.9210e-05) (hash(x)=49436061)
62
+ 1000 val loss 7.6158
63
+ 1000 val perplexity 2030.0663
64
+ 1000 train 7.563162 (lr=4.9264e-05) (hash(x)=48818282)
65
+ 1000 val loss 7.5289
66
+ 1000 val perplexity 1860.9679
67
+ 1100 val loss 7.6007
68
+ 1100 val perplexity 1999.5815
69
+ 1000 train 7.465590 (lr=6.8970e-05) (hash(x)=48818282)
70
+ 1100 train 7.664679 (lr=4.9070e-05) (hash(x)=55387425)
71
+ 1200 val loss 7.5917
72
+ 1200 val perplexity 1981.7345
73
+ 1100 val loss 7.4848
74
+ 1100 val perplexity 1780.8323
75
+ 1200 train 7.537913 (lr=4.8854e-05) (hash(x)=48328378)
76
+ 1100 train 7.553554 (lr=6.8698e-05) (hash(x)=55387425)
77
+ 1300 val loss 7.5847
78
+ 1300 val perplexity 1967.7880
79
+ 1300 train 7.523361 (lr=4.8616e-05) (hash(x)=48956717)
80
+ 1200 val loss 7.4321
81
+ 1200 val perplexity 1689.3721
82
+ 1200 train 7.346271 (lr=6.8395e-05) (hash(x)=48328378)
83
+ 1400 val loss 7.5832
84
+ 1400 val perplexity 1964.9525
85
+ 1400 train 7.476568 (lr=4.8356e-05) (hash(x)=49782571)
86
+ 1300 val loss 7.3965
87
+ 1300 val perplexity 1630.3083
88
+ 1300 train 7.312257 (lr=6.8062e-05) (hash(x)=48956717)
89
+ 1500 val loss 7.5897
90
+ 1500 val perplexity 1977.6857
91
+ 1500 train 7.398695 (lr=4.8074e-05) (hash(x)=51081994)
92
+ 1400 val loss 7.3806
93
+ 1400 val perplexity 1604.5980
94
+ 1400 train 7.259795 (lr=6.7698e-05) (hash(x)=49782571)
95
+ 1600 val loss 7.5873
96
+ 1600 val perplexity 1972.9817
97
+ 1600 train 7.656009 (lr=4.7772e-05) (hash(x)=48791204)
98
+ 1500 val loss 7.3405
99
+ 1500 val perplexity 1541.5237
100
+ 1500 train 7.134542 (lr=6.7304e-05) (hash(x)=51081994)
101
+ 1700 val loss 7.5815
102
+ 1700 val perplexity 1961.5758
103
+ 1700 train 7.307205 (lr=4.7448e-05) (hash(x)=46425011)
104
+ 1600 val loss 7.3004
105
+ 1600 val perplexity 1480.8594
106
+ 1600 train 7.370697 (lr=6.6881e-05) (hash(x)=48791204)
107
+ 1800 val loss 7.5641
108
+ 1800 val perplexity 1927.8108
109
+ 1800 train 7.216667 (lr=4.7105e-05) (hash(x)=44919141)
110
+ 1700 val loss 7.2983
111
+ 1700 val perplexity 1477.7853
112
+ 1700 train 7.001472 (lr=6.6428e-05) (hash(x)=46425011)
113
+ 1900 val loss 7.5429
114
+ 1900 val perplexity 1887.2594
115
+ 1900 train 7.642665 (lr=4.6741e-05) (hash(x)=48299675)
116
+ 1800 val loss 7.2642
117
+ 1800 val perplexity 1428.2245
118
+ 1800 train 6.906070 (lr=6.5947e-05) (hash(x)=44919141)
119
+ 2000 val loss 7.5304
120
+ 2000 val perplexity 1863.8826
121
+ 2000 train 8.451202 (lr=4.6357e-05) (hash(x)=61804797)
122
+ 1900 val loss 7.2552
123
+ 1900 val perplexity 1415.4088
124
+ 1900 train 7.376617 (lr=6.5437e-05) (hash(x)=48299675)
125
+ 2100 val loss 7.5083
126
+ 2100 val perplexity 1823.1356
127
+ 2100 train 7.605269 (lr=4.5954e-05) (hash(x)=53638030)
128
+ 2000 val loss 7.1835
129
+ 2000 val perplexity 1317.5396
130
+ 2000 train 8.116750 (lr=6.4900e-05) (hash(x)=61804797)
131
+ 2200 val loss 7.4889
132
+ 2200 val perplexity 1788.0094
133
+ 2200 train 7.722961 (lr=4.5532e-05) (hash(x)=56364593)
134
+ 2100 val loss 7.1585
135
+ 2100 val perplexity 1284.9927
136
+ 2100 train 7.253870 (lr=6.4335e-05) (hash(x)=53638030)
137
+ 2300 val loss 7.4897
138
+ 2300 val perplexity 1789.4935
139
+ 2300 train 7.585523 (lr=4.5091e-05) (hash(x)=52945580)
140
+ 2200 val loss 7.1313
141
+ 2200 val perplexity 1250.5045
142
+ 2200 train 7.376586 (lr=6.3745e-05) (hash(x)=56364593)
143
+ 2400 val loss 7.4714
144
+ 2400 val perplexity 1757.0946
145
+ 2400 train 7.553903 (lr=4.4633e-05) (hash(x)=54595211)
146
+ 2300 val loss 7.1077
147
+ 2300 val perplexity 1221.3357
148
+ 2300 train 7.225344 (lr=6.3128e-05) (hash(x)=52945580)
149
+ 2500 val loss 7.4593
150
+ 2500 val perplexity 1735.9640
151
+ 2500 train 7.488019 (lr=4.4156e-05) (hash(x)=52323363)
152
+ 2400 val loss 7.0891
153
+ 2400 val perplexity 1198.8025
154
+ 2400 train 7.160409 (lr=6.2486e-05) (hash(x)=54595211)
155
+ 2600 val loss 7.4433
156
+ 2600 val perplexity 1708.3724
157
+ 2600 train 7.256810 (lr=4.3663e-05) (hash(x)=42652707)
158
+ 2500 val loss 7.0646
159
+ 2500 val perplexity 1169.7643
160
+ 2500 train 7.078955 (lr=6.1819e-05) (hash(x)=52323363)
161
+ 2700 val loss 7.4416
162
+ 2700 val perplexity 1705.4611
163
+ 2700 train 7.189201 (lr=4.3153e-05) (hash(x)=45687855)
164
+ 2600 val loss 7.0259
165
+ 2600 val perplexity 1125.3988
166
+ 2600 train 6.769950 (lr=6.1128e-05) (hash(x)=42652707)
167
+ 2800 val loss 7.4216
168
+ 2800 val perplexity 1671.7010
169
+ 2800 train 7.389744 (lr=4.2627e-05) (hash(x)=49962830)
170
+ 2700 val loss 7.0032
171
+ 2700 val perplexity 1100.1040
172
+ 2700 train 6.697522 (lr=6.0414e-05) (hash(x)=45687855)
173
+ 2900 val loss 7.4089
174
+ 2900 val perplexity 1650.5708
175
+ 2900 train 7.488739 (lr=4.2085e-05) (hash(x)=52958451)
176
+ 2800 val loss 6.9818
177
+ 2800 val perplexity 1076.8694
178
+ 2800 train 6.968762 (lr=5.9677e-05) (hash(x)=49962830)
179
+ 3000 val loss 7.3962
180
+ 3000 val perplexity 1629.7239
181
+ 3000 train 7.337688 (lr=4.1529e-05) (hash(x)=48896990)
182
+ 2900 val loss 6.9673
183
+ 2900 val perplexity 1061.3451
184
+ 2900 train 6.998752 (lr=5.8919e-05) (hash(x)=52958451)
185
+ 3100 val loss 7.3868
186
+ 3100 val perplexity 1614.4810
187
+ 3100 train 7.337799 (lr=4.0957e-05) (hash(x)=47064930)
188
+ 3000 val loss 6.9330
189
+ 3000 val perplexity 1025.5603
190
+ 3000 train 6.879025 (lr=5.8140e-05) (hash(x)=48896990)
191
+ 3200 val loss 7.3732
192
+ 3200 val perplexity 1592.6964
193
+ 3200 train 7.139594 (lr=4.0373e-05) (hash(x)=45145921)
194
+ 3100 val loss 6.9128
195
+ 3100 val perplexity 1005.0540
196
+ 3100 train 6.876074 (lr=5.7340e-05) (hash(x)=47064930)
197
+ 3300 val loss 7.3655
198
+ 3300 val perplexity 1580.4542
199
+ 3300 train 7.237511 (lr=3.9775e-05) (hash(x)=48085018)
200
+ 3200 val loss 6.8927
201
+ 3200 val perplexity 985.0220
202
+ 3200 train 6.601774 (lr=5.6522e-05) (hash(x)=45145921)
203
+ 3400 val loss 7.3462
204
+ 3400 val perplexity 1550.3525
205
+ 3400 train 7.371779 (lr=3.9164e-05) (hash(x)=49596053)
206
+ 3300 val loss 6.8761
207
+ 3300 val perplexity 968.8724
208
+ 3300 train 6.710589 (lr=5.5684e-05) (hash(x)=48085018)
209
+ 3500 val loss 7.3421
210
+ 3500 val perplexity 1543.9542
211
+ 3500 train 6.941387 (lr=3.8541e-05) (hash(x)=41135634)
212
+ 3400 val loss 6.8393
213
+ 3400 val perplexity 933.8585
214
+ 3400 train 6.835313 (lr=5.4829e-05) (hash(x)=49596053)
215
+ 3600 val loss 7.3236
216
+ 3600 val perplexity 1515.6783
217
+ 3600 train 7.334878 (lr=3.7907e-05) (hash(x)=54286330)
218
+ 3500 val loss 6.8254
219
+ 3500 val perplexity 920.9630
220
+ 3500 train 6.421352 (lr=5.3958e-05) (hash(x)=41135634)
221
+ 3700 val loss 7.3152
222
+ 3700 val perplexity 1502.9592
223
+ 3700 train 7.221657 (lr=3.7262e-05) (hash(x)=57061993)
224
+ 3600 val loss 6.8227
225
+ 3600 val perplexity 918.4611
226
+ 3600 train 6.826213 (lr=5.3070e-05) (hash(x)=54286330)
227
+ 3800 val loss 7.3070
228
+ 3800 val perplexity 1490.7235
229
+ 3800 train 6.914749 (lr=3.6608e-05) (hash(x)=46544884)
230
+ 3700 val loss 6.8169
231
+ 3700 val perplexity 913.1631
232
+ 3700 train 6.707649 (lr=5.2167e-05) (hash(x)=57061993)
233
+ 3900 val loss 7.3168
234
+ 3900 val perplexity 1505.3081
235
+ 3900 train 7.166756 (lr=3.5944e-05) (hash(x)=48937435)
236
+ 3800 val loss 6.8191
237
+ 3800 val perplexity 915.1304
238
+ 3800 train 6.409613 (lr=5.1251e-05) (hash(x)=46544884)
239
+ 4000 val loss 7.3382
240
+ 4000 val perplexity 1537.9268
241
+ 4000 train 7.348784 (lr=3.5271e-05) (hash(x)=54466186)
242
+ 3900 val loss 6.8155
243
+ 3900 val perplexity 911.8443
244
+ 3900 train 6.659271 (lr=5.0321e-05) (hash(x)=48937435)
245
+ 4100 val loss 7.2700
246
+ 4100 val perplexity 1436.5656
247
+ 4100 train 7.121221 (lr=3.4590e-05) (hash(x)=51079995)
248
+ 4000 val loss 6.7990
249
+ 4000 val perplexity 896.9698
250
+ 4000 train 6.853115 (lr=4.9379e-05) (hash(x)=54466186)
251
+ 4200 val loss 7.2588
252
+ 4200 val perplexity 1420.5469
253
+ 4200 train 7.411931 (lr=3.3902e-05) (hash(x)=56495581)
254
+ 4100 val loss 6.7819
255
+ 4100 val perplexity 881.7239
256
+ 4100 train 6.591974 (lr=4.8426e-05) (hash(x)=51079995)
257
+ 4300 val loss 7.2302
258
+ 4300 val perplexity 1380.4785
259
+ 4300 train 7.111370 (lr=3.3207e-05) (hash(x)=45095478)
260
+ 4200 val loss 6.7772
261
+ 4200 val perplexity 877.6279
262
+ 4200 train 6.916551 (lr=4.7463e-05) (hash(x)=56495581)
263
+ 4400 val loss 7.2184
264
+ 4400 val perplexity 1364.3369
265
+ 4400 train 7.173501 (lr=3.2507e-05) (hash(x)=49954028)
266
+ 4300 val loss 6.7472
267
+ 4300 val perplexity 851.6391
268
+ 4300 train 6.591402 (lr=4.6490e-05) (hash(x)=45095478)
269
+ 4500 val loss 7.2078
270
+ 4500 val perplexity 1349.9860
271
+ 4500 train 7.127753 (lr=3.1801e-05) (hash(x)=48975821)
272
+ 4400 val loss 6.7383
273
+ 4400 val perplexity 844.0901
274
+ 4400 train 6.701144 (lr=4.5509e-05) (hash(x)=49954028)
275
+ 4600 val loss 7.1827
276
+ 4600 val perplexity 1316.5165
277
+ 4600 train 7.240033 (lr=3.1091e-05) (hash(x)=49293028)
278
+ 4500 val loss 6.7848
279
+ 4500 val perplexity 884.3400
280
+ 4500 train 6.714043 (lr=4.4521e-05) (hash(x)=48975821)
281
+ 4700 val loss 7.1732
282
+ 4700 val perplexity 1304.0402
283
+ 4700 train 7.089901 (lr=3.0377e-05) (hash(x)=48077753)
284
+ 4600 val loss 6.6866
285
+ 4600 val perplexity 801.5901
286
+ 4600 train 6.766769 (lr=4.3527e-05) (hash(x)=49293028)
287
+ 4800 val loss 7.1638
288
+ 4800 val perplexity 1291.8126
289
+ 4800 train 6.971658 (lr=2.9661e-05) (hash(x)=45037879)
290
+ 4700 val loss 6.6807
291
+ 4700 val perplexity 796.8831
292
+ 4700 train 6.593471 (lr=4.2528e-05) (hash(x)=48077753)
293
+ 4900 val loss 7.1458
294
+ 4900 val perplexity 1268.8253
295
+ 4900 train 7.074956 (lr=2.8942e-05) (hash(x)=50320154)
296
+ 4800 val loss 6.6729
297
+ 4800 val perplexity 790.7224
298
+ 4800 train 6.540059 (lr=4.1525e-05) (hash(x)=45037879)
299
+ 5000 val loss 7.1412
300
+ 5000 val perplexity 1262.9335
301
+ 5000 train 7.337318 (lr=2.8221e-05) (hash(x)=55024523)
302
+ 4900 val loss 6.6512
303
+ 4900 val perplexity 773.7209
304
+ 4900 train 6.572750 (lr=4.0518e-05) (hash(x)=50320154)
305
+ 5100 val loss 7.1290
306
+ 5100 val perplexity 1247.6289
307
+ 5100 train 7.077831 (lr=2.7500e-05) (hash(x)=47570607)
308
+ 5000 val loss 6.6414
309
+ 5000 val perplexity 766.1722
310
+ 5000 train 6.879434 (lr=3.9510e-05) (hash(x)=55024523)
311
+ 5200 val loss 7.1245
312
+ 5200 val perplexity 1242.0054
313
+ 5200 train 7.220313 (lr=2.6779e-05) (hash(x)=54311349)
314
+ 5100 val loss 6.6317
315
+ 5100 val perplexity 758.7392
316
+ 5100 train 6.556490 (lr=3.8500e-05) (hash(x)=47570607)
317
+ 5300 val loss 7.1061
318
+ 5300 val perplexity 1219.3776
319
+ 5300 train 7.010005 (lr=2.6058e-05) (hash(x)=47178524)
320
+ 5200 val loss 6.6210
321
+ 5200 val perplexity 750.6971
322
+ 5200 train 6.755637 (lr=3.7490e-05) (hash(x)=54311349)
323
+ 5400 val loss 7.1027
324
+ 5400 val perplexity 1215.2343
325
+ 5400 train 7.118385 (lr=2.5339e-05) (hash(x)=49425088)
326
+ 5300 val loss 6.6153
327
+ 5300 val perplexity 746.3967
328
+ 5300 train 6.499031 (lr=3.6482e-05) (hash(x)=47178524)
329
+ 5500 val loss 7.0912
330
+ 5500 val perplexity 1201.3782
331
+ 5500 train 6.961625 (lr=2.4623e-05) (hash(x)=46383189)
332
+ 5400 val loss 6.6143
333
+ 5400 val perplexity 745.6650
334
+ 5400 train 6.656158 (lr=3.5475e-05) (hash(x)=49425088)
335
+ 5600 val loss 7.0903
336
+ 5600 val perplexity 1200.3011
337
+ 5600 train 7.287276 (lr=2.3909e-05) (hash(x)=54084990)
338
+ 5500 val loss 6.6047
339
+ 5500 val perplexity 738.5228
340
+ 5500 train 6.435539 (lr=3.4472e-05) (hash(x)=46383189)
341
+ 5700 val loss 7.0761
342
+ 5700 val perplexity 1183.2908
343
+ 5700 train 6.787469 (lr=2.3199e-05) (hash(x)=47384182)
344
+ 5600 val loss 6.5951
345
+ 5600 val perplexity 731.4849
346
+ 5800 val loss 7.0730
347
+ 5800 val perplexity 1179.7307
348
+ 5600 train 6.790871 (lr=3.3473e-05) (hash(x)=54084990)
349
+ 5800 train 6.992303 (lr=2.2493e-05) (hash(x)=51683744)
350
+ 5900 val loss 7.0678
351
+ 5900 val perplexity 1173.5835
352
+ 5700 val loss 6.5853
353
+ 5700 val perplexity 724.3849
354
+ 5900 train 7.068780 (lr=2.1793e-05) (hash(x)=52798836)
355
+ 5700 train 6.254418 (lr=3.2479e-05) (hash(x)=47384182)
356
+ 6000 val loss 7.0733
357
+ 6000 val perplexity 1179.9906
358
+ 6000 train 6.989652 (lr=2.1098e-05) (hash(x)=50945000)
359
+ 5800 val loss 6.5765
360
+ 5800 val perplexity 718.0475
361
+ 5800 train 6.463080 (lr=3.1491e-05) (hash(x)=51683744)
362
+ 6100 val loss 7.0610
363
+ 6100 val perplexity 1165.6578
364
+ 6100 train 6.829372 (lr=2.0410e-05) (hash(x)=48964427)
365
+ 5900 val loss 6.5714
366
+ 5900 val perplexity 714.3479
367
+ 5900 train 6.587032 (lr=3.0510e-05) (hash(x)=52798836)
368
+ 6200 val loss 7.0577
369
+ 6200 val perplexity 1161.8173
370
+ 6200 train 6.877470 (lr=1.9729e-05) (hash(x)=47148610)
371
+ 6000 val loss 6.5795
372
+ 6000 val perplexity 720.1752
373
+ 6000 train 6.458630 (lr=2.9537e-05) (hash(x)=50945000)
374
+ 6300 val loss 7.0582
375
+ 6300 val perplexity 1162.3004
376
+ 6300 train 6.992953 (lr=1.9056e-05) (hash(x)=50860553)
377
+ 6100 val loss 6.5734
378
+ 6100 val perplexity 715.7814
379
+ 6100 train 6.270368 (lr=2.8574e-05) (hash(x)=48964427)
380
+ 6400 val loss 7.0524
381
+ 6400 val perplexity 1155.6312
382
+ 6400 train 6.840018 (lr=1.8392e-05) (hash(x)=50553992)
383
+ 6200 val loss 6.5813
384
+ 6200 val perplexity 721.4669
385
+ 6200 train 6.344663 (lr=2.7621e-05) (hash(x)=47148610)
386
+ 6500 val loss 7.0418
387
+ 6500 val perplexity 1143.4537
388
+ 6500 train 6.901451 (lr=1.7738e-05) (hash(x)=52521332)
389
+ 6300 val loss 6.5646
390
+ 6300 val perplexity 709.5223
391
+ 6300 train 6.481687 (lr=2.6679e-05) (hash(x)=50860553)
392
+ 6600 val loss 7.0284
393
+ 6600 val perplexity 1128.1917
394
+ 6600 train 7.372125 (lr=1.7093e-05) (hash(x)=52609843)
395
+ 6400 val loss 6.5635
396
+ 6400 val perplexity 708.7479
397
+ 6400 train 6.332783 (lr=2.5749e-05) (hash(x)=50553992)
398
+ 6700 val loss 7.0170
399
+ 6700 val perplexity 1115.4137
400
+ 6700 train 7.073514 (lr=1.6459e-05) (hash(x)=53632957)
401
+ 6500 val loss 6.5573
402
+ 6500 val perplexity 704.3593
403
+ 6500 train 6.383666 (lr=2.4833e-05) (hash(x)=52521332)
404
+ 6800 val loss 7.0105
405
+ 6800 val perplexity 1108.2476
406
+ 6800 train 7.040189 (lr=1.5836e-05) (hash(x)=46927608)
407
+ 6600 val loss 6.5405
408
+ 6600 val perplexity 692.6306
409
+ 6600 train 6.884501 (lr=2.3930e-05) (hash(x)=52609843)
410
+ 6900 val loss 7.0013
411
+ 6900 val perplexity 1098.1124
412
+ 6900 train 7.049226 (lr=1.5225e-05) (hash(x)=54483057)
413
+ 6700 val loss 6.5188
414
+ 6700 val perplexity 677.7796
415
+ 6700 train 6.560914 (lr=2.3042e-05) (hash(x)=53632957)
416
+ 7000 val loss 6.9959
417
+ 7000 val perplexity 1092.1531
418
+ 7000 train 7.190527 (lr=1.4627e-05) (hash(x)=51493884)
419
+ 6800 val loss 6.5150
420
+ 6800 val perplexity 675.2225
421
+ 6800 train 6.525479 (lr=2.2171e-05) (hash(x)=46927608)
422
+ 7100 val loss 6.9874
423
+ 7100 val perplexity 1082.9354
424
+ 7100 train 7.136772 (lr=1.4043e-05) (hash(x)=53303341)
425
+ 6900 val loss 6.5077
426
+ 6900 val perplexity 670.2778
427
+ 6900 train 6.538913 (lr=2.1316e-05) (hash(x)=54483057)
428
+ 7200 val loss 6.9863
429
+ 7200 val perplexity 1081.6818
430
+ 7200 train 6.691040 (lr=1.3471e-05) (hash(x)=45272178)
431
+ 7000 val loss 6.4993
432
+ 7000 val perplexity 664.6807
433
+ 7000 train 6.666363 (lr=2.0478e-05) (hash(x)=51493884)
434
+ 7300 val loss 6.9778
435
+ 7300 val perplexity 1072.5254
436
+ 7300 train 6.909081 (lr=1.2915e-05) (hash(x)=50389872)
437
+ 7100 val loss 6.4939
438
+ 7100 val perplexity 661.1281
439
+ 7100 train 6.649939 (lr=1.9660e-05) (hash(x)=53303341)
440
+ 7400 val loss 6.9697
441
+ 7400 val perplexity 1063.8679
442
+ 7400 train 6.600302 (lr=1.2373e-05) (hash(x)=43796301)
443
+ 7200 val loss 6.4905
444
+ 7200 val perplexity 658.8703
445
+ 7200 train 6.180031 (lr=1.8860e-05) (hash(x)=45272178)
446
+ 7500 val loss 6.9651
447
+ 7500 val perplexity 1059.0161
448
+ 7500 train 6.886889 (lr=1.1847e-05) (hash(x)=47808686)
449
+ 7300 val loss 6.4860
450
+ 7300 val perplexity 655.9136
451
+ 7300 train 6.415273 (lr=1.8081e-05) (hash(x)=50389872)
452
+ 7600 val loss 6.9620
453
+ 7600 val perplexity 1055.6909
454
+ 7600 train 6.691191 (lr=1.1337e-05) (hash(x)=41936898)
455
+ 7400 val loss 6.4844
456
+ 7400 val perplexity 654.8358
457
+ 7400 train 6.127452 (lr=1.7323e-05) (hash(x)=43796301)
458
+ 7700 val loss 6.9674
459
+ 7700 val perplexity 1061.4114
460
+ 7700 train 7.146378 (lr=1.0844e-05) (hash(x)=57550318)
461
+ 7500 val loss 6.4803
462
+ 7500 val perplexity 652.1370
463
+ 7500 train 6.429677 (lr=1.6586e-05) (hash(x)=47808686)
464
+ 7800 val loss 6.9486
465
+ 7800 val perplexity 1041.6663
466
+ 7800 train 6.841320 (lr=1.0367e-05) (hash(x)=47485210)
467
+ 7600 val loss 6.4802
468
+ 7600 val perplexity 652.0792
469
+ 7600 train 6.200052 (lr=1.5872e-05) (hash(x)=41936898)
470
+ 7900 val loss 6.9450
471
+ 7900 val perplexity 1037.9823
472
+ 7900 train 7.281407 (lr=9.9088e-06) (hash(x)=53228688)
473
+ 7700 val loss 6.4803
474
+ 7700 val perplexity 652.1638
475
+ 7700 train 6.708580 (lr=1.5181e-05) (hash(x)=57550318)
476
+ 8000 val loss 6.9435
477
+ 8000 val perplexity 1036.3483
478
+ 8000 train 6.983154 (lr=9.4682e-06) (hash(x)=52018673)
479
+ 7800 val loss 6.4715
480
+ 7800 val perplexity 646.4274
481
+ 7800 train 6.346768 (lr=1.4514e-05) (hash(x)=47485210)
482
+ 8100 val loss 6.9386
483
+ 8100 val perplexity 1031.3220
484
+ 8100 train 6.757258 (lr=9.0461e-06) (hash(x)=47079349)
485
+ 7900 val loss 6.4728
486
+ 7900 val perplexity 647.3209
487
+ 7900 train 6.823822 (lr=1.3872e-05) (hash(x)=53228688)
488
+ 8200 val loss 6.9359
489
+ 8200 val perplexity 1028.5555
490
+ 8200 train 6.992998 (lr=8.6430e-06) (hash(x)=57921563)
491
+ 8000 val loss 6.4683
492
+ 8000 val perplexity 644.4054
493
+ 8000 train 6.525360 (lr=1.3255e-05) (hash(x)=52018673)
494
+ 8300 val loss 6.9300
495
+ 8300 val perplexity 1022.5231
496
+ 8300 train 6.509700 (lr=8.2593e-06) (hash(x)=45038933)
497
+ 8100 val loss 6.4681
498
+ 8100 val perplexity 644.2361
499
+ 8100 train 6.288201 (lr=1.2665e-05) (hash(x)=47079349)
500
+ 8400 val loss 6.9337
501
+ 8400 val perplexity 1026.2736
502
+ 8400 train 6.809709 (lr=7.8953e-06) (hash(x)=47763246)
503
+ 8200 val loss 6.4610
504
+ 8200 val perplexity 639.7166
505
+ 8200 train 6.510967 (lr=1.2100e-05) (hash(x)=57921563)
506
+ 8500 val loss 6.9268
507
+ 8500 val perplexity 1019.2207
508
+ 8500 train 6.919998 (lr=7.5515e-06) (hash(x)=56176595)
509
+ 8300 val loss 6.4590
510
+ 8300 val perplexity 638.4160
511
+ 8300 train 5.999636 (lr=1.1563e-05) (hash(x)=45038933)
512
+ 8600 val loss 6.9241
513
+ 8600 val perplexity 1016.4431
514
+ 8600 train 6.981564 (lr=7.2282e-06) (hash(x)=55184249)
515
+ 8400 val loss 6.4685
516
+ 8400 val perplexity 644.5172
517
+ 8400 train 6.311600 (lr=1.1053e-05) (hash(x)=47763246)
518
+ 8700 val loss 6.9220
519
+ 8700 val perplexity 1014.3809
520
+ 8700 train 6.897609 (lr=6.9257e-06) (hash(x)=46471646)
521
+ 8500 val loss 6.4614
522
+ 8500 val perplexity 639.9490
523
+ 8500 train 6.515769 (lr=1.0572e-05) (hash(x)=56176595)
524
+ 8800 val loss 6.9233
525
+ 8800 val perplexity 1015.7076
526
+ 8800 train 6.696762 (lr=6.6444e-06) (hash(x)=46233162)
527
+ 8600 val loss 6.4616
528
+ 8600 val perplexity 640.0672
529
+ 8600 train 6.535988 (lr=1.0119e-05) (hash(x)=55184249)
530
+ 8900 val loss 6.9317
531
+ 8900 val perplexity 1024.2495
532
+ 8900 train 6.854069 (lr=6.3845e-06) (hash(x)=47233684)
533
+ 8700 val loss 6.4591
534
+ 8700 val perplexity 638.4650
535
+ 8700 train 6.393760 (lr=9.6960e-06) (hash(x)=46471646)
536
+ 9000 val loss 6.9164
537
+ 9000 val perplexity 1008.7192
538
+ 9000 train 6.845828 (lr=6.1462e-06) (hash(x)=48374529)
539
+ 8800 val loss 6.4582
540
+ 8800 val perplexity 637.9197
541
+ 8800 train 6.175983 (lr=9.3021e-06) (hash(x)=46233162)
542
+ 9100 val loss 6.9079
543
+ 9100 val perplexity 1000.1794
544
+ 9100 train 6.852545 (lr=5.9300e-06) (hash(x)=48065371)
545
+ 8900 val loss 6.4608
546
+ 8900 val perplexity 639.6043
547
+ 8900 train 6.368966 (lr=8.9382e-06) (hash(x)=47233684)
548
+ 9200 val loss 6.9033
549
+ 9200 val perplexity 995.5312
550
+ 9200 train 6.823194 (lr=5.7359e-06) (hash(x)=47408078)
551
+ 9000 val loss 6.4567
552
+ 9000 val perplexity 636.9777
553
+ 9000 train 6.349148 (lr=8.6047e-06) (hash(x)=48374529)
554
+ 9300 val loss 6.9009
555
+ 9300 val perplexity 993.1728
556
+ 9300 train 6.908463 (lr=5.5641e-06) (hash(x)=50749781)
557
+ 9100 val loss 6.4471
558
+ 9100 val perplexity 630.8528
559
+ 9100 train 6.408804 (lr=8.3020e-06) (hash(x)=48065371)
560
+ 9400 val loss 6.8958
561
+ 9400 val perplexity 988.1155
562
+ 9400 train 7.069656 (lr=5.4149e-06) (hash(x)=48560169)
563
+ 9500 val loss 6.8921
564
+ 9500 val perplexity 984.4717
565
+ 9500 train 6.971089 (lr=5.2884e-06) (hash(x)=50936392)
566
+ 9200 val loss 6.4404
567
+ 9200 val perplexity 626.6569
568
+ 9200 train 6.438884 (lr=8.0302e-06) (hash(x)=47408078)
569
+ 9600 val loss 6.8880
570
+ 9600 val perplexity 980.4680
571
+ 9600 train 6.907552 (lr=5.1847e-06) (hash(x)=50651714)
572
+ 9300 val loss 6.4370
573
+ 9300 val perplexity 624.5002
574
+ 9300 train 6.419167 (lr=7.7898e-06) (hash(x)=50749781)
575
+ 9700 val loss 6.8876
576
+ 9700 val perplexity 980.0170
577
+ 9700 train 6.932286 (lr=5.1040e-06) (hash(x)=47311384)
578
+ 9400 val loss 6.4311
579
+ 9400 val perplexity 620.8464
580
+ 9400 train 6.620666 (lr=7.5809e-06) (hash(x)=48560169)
581
+ 9800 val loss 6.8858
582
+ 9800 val perplexity 978.2363
583
+ 9800 train 6.966930 (lr=5.0462e-06) (hash(x)=50921139)
584
+ 9500 val loss 6.4309
585
+ 9500 val perplexity 620.7466
586
+ 9500 train 6.564292 (lr=7.4038e-06) (hash(x)=50936392)
587
+ 9900 val loss 6.8855
588
+ 9900 val perplexity 977.9588
589
+ 9900 train 6.929035 (lr=5.0116e-06) (hash(x)=48142455)
590
+ 9600 val loss 6.4288
591
+ 9600 val perplexity 619.4521
592
+ 9600 train 6.451801 (lr=7.2586e-06) (hash(x)=50651714)
593
+ 9999 val loss 6.8814
594
+ 9999 val perplexity 973.9988
595
+ 9700 val loss 6.4277
596
+ 9700 val perplexity 618.7657
597
+ 9700 train 6.486131 (lr=7.1456e-06) (hash(x)=47311384)
598
+ 9800 val loss 6.4264
599
+ 9800 val perplexity 617.9319
600
+ 9800 train 6.528321 (lr=7.0647e-06) (hash(x)=50921139)
601
+ 9900 val loss 6.4334
602
+ 9900 val perplexity 622.3109
603
+ 9900 train 6.536893 (lr=7.0162e-06) (hash(x)=48142455)
604
+ 9999 val loss 6.4210
605
+ 9999 val perplexity 614.6432
attention_kindselective_n_heads2_seed1339/model_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:992fce12960917e67fe333978c01ab8a1168c2d58c5ba978e00dcd7988513450
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78ea3bcdb04430609e43ac1108a7b5dbf0450d0f99969c2ea13449b6a93310fb
3
  size 38587970
attention_kindselective_n_heads2_seed1339/model_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5d43af45ee6b4af132415e0df0d43a6b60b0f73a569bd2830225f0bc786cc385
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:814089a077c8b23ef6a360929119aee50aedda8e9e4e98d0e7a7493c72ccf7f3
3
  size 38587970
attention_kindselective_n_heads2_seed1339/model_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bc7a6bea127db219249fd3c5b87fd5cef8b65412dd927d2d06137bf15ecd6810
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a220d7843b756c750dff05df665a2d3ac47d3a3d40239759a66d7d9ee0304d28
3
  size 38587970
attention_kindselective_n_heads2_seed1339/model_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ae43b53e4572a8ffdc6daa9c7dfa2cf2422a024f985558fc1223d73da608af4c
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e94c41ccd9890321419caef4669a9fe25ff3ccc0676eed6fdff9011850f032fc
3
  size 38587970
attention_kindselective_n_heads2_seed1339/optimizer_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4638b256edfc13bb0531ad0b4c5a3e9dc58e85390cc0e5f22b814d704239c6bf
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:461740930c03f23f42f01b5d8507f8a7b471d43e9d0f353d2581eb3d27820edb
3
  size 70895430
attention_kindselective_n_heads2_seed1339/optimizer_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:581649abe991b6fa8953ce33ce20d06ca6d4b8019177d33625611a2777a77bc5
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:79cd2cab33452fea3f3ab1711cc885b686e94fd169470952d3f0ef5d133e5862
3
  size 70895430
attention_kindselective_n_heads2_seed1339/optimizer_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:125f33f6a9ef4d45f8d4d711ef5cf84fa22e33cd6388b65ac4876c47b07070f9
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:135f20203befd7fa88831d72c8f43273b2a994f834af2da5d1f4459933fb3804
3
  size 70895430
attention_kindselective_n_heads2_seed1339/optimizer_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cf6bff0001314e87e1c262e977deff42b8efa0a930960c8b56a22c26f720e4bb
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:621d654cf60841bfa9393523a818b267078c8a47c53b2db4e0c4625cdd9515ed
3
  size 70895430