andrew-healey commited on
Commit
29646ce
·
verified ·
1 Parent(s): 452770a

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1341/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_4/attention_kindselective_n_heads4_seed1341", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 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_4_1341", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_6/attention_kindselective_n_heads4_seed1341", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 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_4_1341", "n_embd": 256}
attention_kindselective_n_heads4_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_heads4_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_heads4_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_heads4_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_heads4_seed1341/log2.txt CHANGED
@@ -1,303 +1,605 @@
1
  max_steps: 10000
2
- 0 val loss 11.3107
3
- 0 val perplexity 81693.5234
4
- 0 train 11.308768 (lr=1.5000e-07) (hash(x)=145079536)
5
- 100 val loss 9.9810
6
- 100 val perplexity 21610.8398
7
- 100 train 9.920817 (lr=1.5150e-05) (hash(x)=154745873)
8
- 200 val loss 9.0327
9
- 200 val perplexity 8372.2393
10
- 200 train 9.070545 (lr=3.0000e-05) (hash(x)=155800595)
11
- 300 val loss 7.9078
12
- 300 val perplexity 2718.5388
13
- 300 train 7.873547 (lr=2.9993e-05) (hash(x)=148595389)
14
- 400 val loss 7.6379
15
- 400 val perplexity 2075.3203
16
- 400 train 7.546945 (lr=2.9972e-05) (hash(x)=145606733)
17
- 500 val loss 7.5460
18
- 500 val perplexity 1893.0764
19
- 500 train 7.381058 (lr=2.9938e-05) (hash(x)=138221231)
20
- 600 val loss 7.4750
21
- 600 val perplexity 1763.4865
22
- 600 train 7.483062 (lr=2.9889e-05) (hash(x)=150367139)
23
- 700 val loss 7.4357
24
- 700 val perplexity 1695.4303
25
- 700 train 7.589180 (lr=2.9827e-05) (hash(x)=155579314)
26
- 800 val loss 7.3914
27
- 800 val perplexity 1621.9232
28
- 800 train 7.467270 (lr=2.9751e-05) (hash(x)=155747374)
29
- 900 val loss 7.3559
30
- 900 val perplexity 1565.4408
31
- 900 train 7.563746 (lr=2.9662e-05) (hash(x)=159334575)
32
- 1000 val loss 7.3269
33
- 1000 val perplexity 1520.6451
34
- 1000 train 7.201617 (lr=2.9558e-05) (hash(x)=140604760)
35
- 1100 val loss 7.3036
36
- 1100 val perplexity 1485.6582
37
- 1100 train 7.141465 (lr=2.9442e-05) (hash(x)=146208052)
38
- 1200 val loss 7.2811
39
- 1200 val perplexity 1452.6318
40
- 1200 train 7.186431 (lr=2.9312e-05) (hash(x)=148404734)
41
- 1300 val loss 7.2576
42
- 1300 val perplexity 1418.9017
43
- 1300 train 7.193643 (lr=2.9169e-05) (hash(x)=155681970)
44
- 1400 val loss 7.2337
45
- 1400 val perplexity 1385.4006
46
- 1400 train 7.187166 (lr=2.9013e-05) (hash(x)=148115934)
47
- 1500 val loss 7.2029
48
- 1500 val perplexity 1343.2867
49
- 1500 train 7.354657 (lr=2.8845e-05) (hash(x)=157074034)
50
- 1600 val loss 7.1849
51
- 1600 val perplexity 1319.3363
52
- 1600 train 6.942118 (lr=2.8663e-05) (hash(x)=137464699)
53
- 1700 val loss 7.1570
54
- 1700 val perplexity 1283.0671
55
- 1700 train 7.334529 (lr=2.8469e-05) (hash(x)=166955614)
56
- 1800 val loss 7.1327
57
- 1800 val perplexity 1252.2875
58
- 1800 train 6.962445 (lr=2.8263e-05) (hash(x)=143886042)
59
- 1900 val loss 7.1017
60
- 1900 val perplexity 1214.0776
61
- 1900 train 7.764103 (lr=2.8044e-05) (hash(x)=193610391)
62
- 2000 val loss 7.0833
63
- 2000 val perplexity 1191.8937
64
- 2000 train 7.255627 (lr=2.7814e-05) (hash(x)=163799796)
65
- 2100 val loss 7.0436
66
- 2100 val perplexity 1145.5090
67
- 2100 train 7.025841 (lr=2.7572e-05) (hash(x)=154107339)
68
- 2200 val loss 7.0151
69
- 2200 val perplexity 1113.3079
70
- 2200 train 7.011511 (lr=2.7319e-05) (hash(x)=144592844)
71
- 2300 val loss 6.9857
72
- 2300 val perplexity 1081.1161
73
- 2300 train 7.070469 (lr=2.7055e-05) (hash(x)=154535861)
74
- 2400 val loss 6.9636
75
- 2400 val perplexity 1057.4553
76
- 2400 train 7.703825 (lr=2.6780e-05) (hash(x)=204706354)
77
- 2500 val loss 6.9441
78
- 2500 val perplexity 1036.9701
79
- 2500 train 6.739681 (lr=2.6494e-05) (hash(x)=143783202)
80
- 2600 val loss 6.9068
81
- 2600 val perplexity 999.0374
82
- 2600 train 6.801236 (lr=2.6198e-05) (hash(x)=150862210)
83
- 2700 val loss 6.8760
84
- 2700 val perplexity 968.7800
85
- 2700 train 6.937062 (lr=2.5892e-05) (hash(x)=150753426)
86
- 2800 val loss 6.8560
87
- 2800 val perplexity 949.5924
88
- 2800 train 6.852540 (lr=2.5576e-05) (hash(x)=147766811)
89
- 2900 val loss 6.8234
90
- 2900 val perplexity 919.1029
91
- 2900 train 6.759596 (lr=2.5251e-05) (hash(x)=151177814)
92
- 3000 val loss 6.8052
93
- 3000 val perplexity 902.5270
94
- 3000 train 6.647370 (lr=2.4917e-05) (hash(x)=135925327)
95
- 3100 val loss 6.7907
96
- 3100 val perplexity 889.5784
97
- 3100 train 6.448046 (lr=2.4574e-05) (hash(x)=124842353)
98
- 3200 val loss 6.7714
99
- 3200 val perplexity 872.5413
100
- 3200 train 6.888403 (lr=2.4224e-05) (hash(x)=160440642)
101
- 3300 val loss 6.7501
102
- 3300 val perplexity 854.1573
103
- 3300 train 6.648814 (lr=2.3865e-05) (hash(x)=143017131)
104
- 3400 val loss 6.7283
105
- 3400 val perplexity 835.7366
106
- 3400 train 7.011107 (lr=2.3498e-05) (hash(x)=148143474)
107
- 3500 val loss 6.7111
108
- 3500 val perplexity 821.4731
109
- 3500 train 6.533078 (lr=2.3125e-05) (hash(x)=148732639)
110
- 3600 val loss 6.6867
111
- 3600 val perplexity 801.6344
112
- 3600 train 6.676949 (lr=2.2744e-05) (hash(x)=146333803)
113
- 3700 val loss 6.6650
114
- 3700 val perplexity 784.4567
115
- 3700 train 6.462936 (lr=2.2357e-05) (hash(x)=143611445)
116
- 3800 val loss 6.6509
117
- 3800 val perplexity 773.4550
118
- 3800 train 6.446225 (lr=2.1965e-05) (hash(x)=141272115)
119
- 3900 val loss 6.6264
120
- 3900 val perplexity 754.7770
121
- 3900 train 6.550550 (lr=2.1566e-05) (hash(x)=149161848)
122
- 4000 val loss 6.6091
123
- 4000 val perplexity 741.8365
124
- 4000 train 6.691909 (lr=2.1162e-05) (hash(x)=152036955)
125
- 4100 val loss 6.5838
126
- 4100 val perplexity 723.3132
127
- 4100 train 6.641014 (lr=2.0754e-05) (hash(x)=153260968)
128
- 4200 val loss 6.5629
129
- 4200 val perplexity 708.3047
130
- 4200 train 6.442538 (lr=2.0341e-05) (hash(x)=147629478)
131
- 4300 val loss 6.5478
132
- 4300 val perplexity 697.7399
133
- 4300 train 6.550487 (lr=1.9924e-05) (hash(x)=161701080)
134
- 4400 val loss 6.5317
135
- 4400 val perplexity 686.5733
136
- 4400 train 6.570666 (lr=1.9504e-05) (hash(x)=155290524)
137
- 4500 val loss 6.5223
138
- 4500 val perplexity 680.1618
139
- 4500 train 6.317447 (lr=1.9081e-05) (hash(x)=144726593)
140
- 4600 val loss 6.5042
141
- 4600 val perplexity 667.9535
142
- 4600 train 6.444550 (lr=1.8655e-05) (hash(x)=149517202)
143
- 4700 val loss 6.4828
144
- 4700 val perplexity 653.8280
145
- 4700 train 6.483470 (lr=1.8226e-05) (hash(x)=139403008)
146
- 4800 val loss 6.4693
147
- 4800 val perplexity 645.0618
148
- 4800 train 6.548851 (lr=1.7796e-05) (hash(x)=153387238)
149
- 4900 val loss 6.4597
150
- 4900 val perplexity 638.8582
151
- 4900 train 6.207753 (lr=1.7365e-05) (hash(x)=139881569)
152
- 5000 val loss 6.4438
153
- 5000 val perplexity 628.7875
154
- 5000 train 6.428659 (lr=1.6933e-05) (hash(x)=152602580)
155
- 5100 val loss 6.4318
156
- 5100 val perplexity 621.3099
157
- 5100 train 6.479546 (lr=1.6500e-05) (hash(x)=150598460)
158
- 5200 val loss 6.4224
159
- 5200 val perplexity 615.5011
160
- 5200 train 6.313307 (lr=1.6067e-05) (hash(x)=147660496)
161
- 5300 val loss 6.4107
162
- 5300 val perplexity 608.3204
163
- 5300 train 6.151624 (lr=1.5635e-05) (hash(x)=147693848)
164
- 5400 val loss 6.4053
165
- 5400 val perplexity 605.0364
166
- 5400 train 6.148688 (lr=1.5204e-05) (hash(x)=136048145)
167
- 5500 val loss 6.3898
168
- 5500 val perplexity 595.7108
169
- 5500 train 6.384548 (lr=1.4774e-05) (hash(x)=140313123)
170
- 5600 val loss 6.3793
171
- 5600 val perplexity 589.5198
172
- 5600 train 6.400584 (lr=1.4345e-05) (hash(x)=156997993)
173
- 5700 val loss 6.3661
174
- 5700 val perplexity 581.7758
175
- 5700 train 6.370698 (lr=1.3919e-05) (hash(x)=143513880)
176
- 5800 val loss 6.3591
177
- 5800 val perplexity 577.7076
178
- 5800 train 6.495447 (lr=1.3496e-05) (hash(x)=153736628)
179
- 5900 val loss 6.3509
180
- 5900 val perplexity 573.0050
181
- 5900 train 6.522499 (lr=1.3076e-05) (hash(x)=166385417)
182
- 6000 val loss 6.3421
183
- 6000 val perplexity 567.9657
184
- 6000 train 6.563224 (lr=1.2659e-05) (hash(x)=153216517)
185
- 6100 val loss 6.3358
186
- 6100 val perplexity 564.4168
187
- 6100 train 6.212199 (lr=1.2246e-05) (hash(x)=145387545)
188
- 6200 val loss 6.3286
189
- 6200 val perplexity 560.3442
190
- 6200 train 6.448741 (lr=1.1838e-05) (hash(x)=156306460)
191
- 6300 val loss 6.3156
192
- 6300 val perplexity 553.1222
193
- 6300 train 6.230059 (lr=1.1434e-05) (hash(x)=148610447)
194
- 6400 val loss 6.3071
195
- 6400 val perplexity 548.4486
196
- 6400 train 6.526285 (lr=1.1035e-05) (hash(x)=158343535)
197
- 6500 val loss 6.3001
198
- 6500 val perplexity 544.6276
199
- 6500 train 6.452993 (lr=1.0643e-05) (hash(x)=157742557)
200
- 6600 val loss 6.2955
201
- 6600 val perplexity 542.1091
202
- 6600 train 6.213193 (lr=1.0256e-05) (hash(x)=150457308)
203
- 6700 val loss 6.2904
204
- 6700 val perplexity 539.3461
205
- 6700 train 6.166604 (lr=9.8753e-06) (hash(x)=142426205)
206
- 6800 val loss 6.2867
207
- 6800 val perplexity 537.3521
208
- 6800 train 6.090304 (lr=9.5017e-06) (hash(x)=151522525)
209
- 6900 val loss 6.2809
210
- 6900 val perplexity 534.2869
211
- 6900 train 6.224025 (lr=9.1353e-06) (hash(x)=152029630)
212
- 7000 val loss 6.2692
213
- 7000 val perplexity 528.0710
214
- 7000 train 6.124932 (lr=8.7764e-06) (hash(x)=142978954)
215
- 7100 val loss 6.2643
216
- 7100 val perplexity 525.4924
217
- 7100 train 6.144693 (lr=8.4255e-06) (hash(x)=148064359)
218
- 7200 val loss 6.2599
219
- 7200 val perplexity 523.1679
220
- 7200 train 6.171076 (lr=8.0829e-06) (hash(x)=155771845)
221
- 7300 val loss 6.2554
222
- 7300 val perplexity 520.8312
223
- 7300 train 6.050687 (lr=7.7489e-06) (hash(x)=141639844)
224
- 7400 val loss 6.2522
225
- 7400 val perplexity 519.1713
226
- 7400 train 6.302989 (lr=7.4239e-06) (hash(x)=153466021)
227
- 7500 val loss 6.2444
228
- 7500 val perplexity 515.1309
229
- 7500 train 6.255723 (lr=7.1083e-06) (hash(x)=148843587)
230
- 7600 val loss 6.2382
231
- 7600 val perplexity 511.9514
232
- 7600 train 6.392756 (lr=6.8023e-06) (hash(x)=152053933)
233
- 7700 val loss 6.2335
234
- 7700 val perplexity 509.5445
235
- 7700 train 6.063930 (lr=6.5062e-06) (hash(x)=141564003)
236
- 7800 val loss 6.2306
237
- 7800 val perplexity 508.0515
238
- 7800 train 6.104179 (lr=6.2205e-06) (hash(x)=148617843)
239
- 7900 val loss 6.2282
240
- 7900 val perplexity 506.8590
241
- 7900 train 6.183061 (lr=5.9453e-06) (hash(x)=146417668)
242
- 8000 val loss 6.2244
243
- 8000 val perplexity 504.9313
244
- 8000 train 6.031130 (lr=5.6809e-06) (hash(x)=150165488)
245
- 8100 val loss 6.2213
246
- 8100 val perplexity 503.3661
247
- 8100 train 6.198036 (lr=5.4277e-06) (hash(x)=144818855)
248
- 8200 val loss 6.2150
249
- 8200 val perplexity 500.2049
250
- 8200 train 6.276789 (lr=5.1858e-06) (hash(x)=143074954)
251
- 8300 val loss 6.2112
252
- 8300 val perplexity 498.3220
253
- 8300 train 6.106345 (lr=4.9556e-06) (hash(x)=145172494)
254
- 8400 val loss 6.2099
255
- 8400 val perplexity 497.6450
256
- 8400 train 6.234631 (lr=4.7372e-06) (hash(x)=152284393)
257
- 8500 val loss 6.2073
258
- 8500 val perplexity 496.3461
259
- 8500 train 6.067934 (lr=4.5309e-06) (hash(x)=147044705)
260
- 8600 val loss 6.2057
261
- 8600 val perplexity 495.5492
262
- 8600 train 6.101382 (lr=4.3369e-06) (hash(x)=147762608)
263
- 8700 val loss 6.2016
264
- 8700 val perplexity 493.5237
265
- 8700 train 6.190577 (lr=4.1554e-06) (hash(x)=141994567)
266
- 8800 val loss 6.1973
267
- 8800 val perplexity 491.4120
268
- 8800 train 6.262373 (lr=3.9866e-06) (hash(x)=152552896)
269
- 8900 val loss 6.1948
270
- 8900 val perplexity 490.2008
271
- 8900 train 6.026112 (lr=3.8307e-06) (hash(x)=139714454)
272
- 9000 val loss 6.1927
273
- 9000 val perplexity 489.1827
274
- 9000 train 6.210496 (lr=3.6877e-06) (hash(x)=152274419)
275
- 9100 val loss 6.1915
276
- 9100 val perplexity 488.5645
277
- 9100 train 6.273561 (lr=3.5580e-06) (hash(x)=160536885)
278
- 9200 val loss 6.1912
279
- 9200 val perplexity 488.4222
280
- 9200 train 6.001785 (lr=3.4415e-06) (hash(x)=138386899)
281
- 9300 val loss 6.1875
282
- 9300 val perplexity 486.6331
283
- 9300 train 6.231057 (lr=3.3385e-06) (hash(x)=149957457)
284
- 9400 val loss 6.1838
285
- 9400 val perplexity 484.8300
286
- 9400 train 6.253336 (lr=3.2490e-06) (hash(x)=161671548)
287
- 9500 val loss 6.1822
288
- 9500 val perplexity 484.0442
289
- 9500 train 6.334615 (lr=3.1730e-06) (hash(x)=171857400)
290
- 9600 val loss 6.1806
291
- 9600 val perplexity 483.2801
292
- 9600 train 5.907129 (lr=3.1108e-06) (hash(x)=135378471)
293
- 9700 val loss 6.1796
294
- 9700 val perplexity 482.8083
295
- 9700 train 6.100302 (lr=3.0624e-06) (hash(x)=149514591)
296
- 9800 val loss 6.1767
297
- 9800 val perplexity 481.3884
298
- 9800 train 6.151616 (lr=3.0277e-06) (hash(x)=152679072)
299
- 9900 val loss 6.1744
300
- 9900 val perplexity 480.2796
301
- 9900 train 6.098384 (lr=3.0069e-06) (hash(x)=150415193)
302
- 9999 val loss 6.1729
303
- 9999 val perplexity 479.5658
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  max_steps: 10000
2
+ 0 val loss 11.3128
3
+ 0 val perplexity 81862.0547
4
+ 0 val loss 11.3128
5
+ 0 val perplexity 81862.0547
6
+ 0 train 11.310279 (lr=3.5000e-07) (hash(x)=47078120)
7
+ 0 train 11.310279 (lr=2.5000e-07) (hash(x)=47078120)
8
+ 100 val loss 9.7617
9
+ 100 val perplexity 17356.8340
10
+ 100 train 9.694991 (lr=3.5350e-05) (hash(x)=43429388)
11
+ 100 val loss 9.8512
12
+ 100 val perplexity 18981.9902
13
+ 100 train 9.787387 (lr=2.5250e-05) (hash(x)=43429388)
14
+ 200 val loss 8.2894
15
+ 200 val perplexity 3981.2551
16
+ 200 train 8.452739 (lr=7.0000e-05) (hash(x)=52929681)
17
+ 200 val loss 8.4601
18
+ 200 val perplexity 4722.3330
19
+ 200 train 8.603586 (lr=5.0000e-05) (hash(x)=52929681)
20
+ 300 val loss 7.7492
21
+ 300 val perplexity 2319.6724
22
+ 300 train 7.759899 (lr=6.9984e-05) (hash(x)=49930367)
23
+ 300 val loss 7.7631
24
+ 300 val perplexity 2352.1753
25
+ 300 train 7.778935 (lr=4.9988e-05) (hash(x)=49930367)
26
+ 400 val loss 7.6106
27
+ 400 val perplexity 2019.5231
28
+ 400 train 7.412497 (lr=6.9935e-05) (hash(x)=48542946)
29
+ 400 val loss 7.6169
30
+ 400 val perplexity 2032.2474
31
+ 400 train 7.425069 (lr=4.9954e-05) (hash(x)=48542946)
32
+ 500 val loss 7.5685
33
+ 500 val perplexity 1936.2578
34
+ 500 train 7.781235 (lr=6.9854e-05) (hash(x)=55286048)
35
+ 500 val loss 7.5577
36
+ 500 val perplexity 1915.3969
37
+ 500 train 7.776724 (lr=4.9896e-05) (hash(x)=55286048)
38
+ 600 val loss 7.5280
39
+ 600 val perplexity 1859.3456
40
+ 600 train 7.784773 (lr=6.9741e-05) (hash(x)=51577760)
41
+ 600 val loss 7.5079
42
+ 600 val perplexity 1822.3160
43
+ 600 train 7.754216 (lr=4.9815e-05) (hash(x)=51577760)
44
+ 700 val loss 7.4630
45
+ 700 val perplexity 1742.3579
46
+ 700 val loss 7.4881
47
+ 700 val perplexity 1786.6348
48
+ 700 train 7.642385 (lr=6.9596e-05) (hash(x)=57433471)
49
+ 700 train 7.625514 (lr=4.9712e-05) (hash(x)=57433471)
50
+ 800 val loss 7.4173
51
+ 800 val perplexity 1664.5129
52
+ 800 train 7.335365 (lr=4.9585e-05) (hash(x)=49799291)
53
+ 800 val loss 7.4641
54
+ 800 val perplexity 1744.2440
55
+ 800 train 7.393112 (lr=6.9419e-05) (hash(x)=49799291)
56
+ 900 val loss 7.3836
57
+ 900 val perplexity 1609.2952
58
+ 900 train 7.390461 (lr=4.9436e-05) (hash(x)=49502839)
59
+ 900 val loss 7.4507
60
+ 900 val perplexity 1721.0458
61
+ 900 train 7.472989 (lr=6.9210e-05) (hash(x)=49502839)
62
+ 1000 val loss 7.3367
63
+ 1000 val perplexity 1535.6757
64
+ 1000 train 7.610759 (lr=4.9264e-05) (hash(x)=51142904)
65
+ 1000 val loss 7.4245
66
+ 1000 val perplexity 1676.5538
67
+ 1000 train 7.708606 (lr=6.8970e-05) (hash(x)=51142904)
68
+ 1100 val loss 7.3006
69
+ 1100 val perplexity 1481.1467
70
+ 1100 train 7.366391 (lr=4.9070e-05) (hash(x)=52751086)
71
+ 1100 val loss 7.4098
72
+ 1100 val perplexity 1652.0471
73
+ 1100 train 7.481995 (lr=6.8698e-05) (hash(x)=52751086)
74
+ 1200 val loss 7.2841
75
+ 1200 val perplexity 1456.9362
76
+ 1200 train 7.263017 (lr=4.8854e-05) (hash(x)=51538621)
77
+ 1200 val loss 7.4052
78
+ 1200 val perplexity 1644.5803
79
+ 1200 train 7.392343 (lr=6.8395e-05) (hash(x)=51538621)
80
+ 1300 val loss 7.2626
81
+ 1300 val perplexity 1425.9829
82
+ 1300 train 7.337047 (lr=4.8616e-05) (hash(x)=52034040)
83
+ 1300 val loss 7.3926
84
+ 1300 val perplexity 1623.9207
85
+ 1300 train 7.473956 (lr=6.8062e-05) (hash(x)=52034040)
86
+ 1400 val loss 7.2474
87
+ 1400 val perplexity 1404.4630
88
+ 1400 train 7.300510 (lr=4.8356e-05) (hash(x)=50640105)
89
+ 1400 val loss 7.3499
90
+ 1400 val perplexity 1556.0629
91
+ 1400 train 7.395884 (lr=6.7698e-05) (hash(x)=50640105)
92
+ 1500 val loss 7.2309
93
+ 1500 val perplexity 1381.5065
94
+ 1500 train 7.167299 (lr=4.8074e-05) (hash(x)=49016270)
95
+ 1500 val loss 7.3171
96
+ 1500 val perplexity 1505.8344
97
+ 1500 train 7.244659 (lr=6.7304e-05) (hash(x)=49016270)
98
+ 1600 val loss 7.2159
99
+ 1600 val perplexity 1360.8336
100
+ 1600 train 6.991704 (lr=4.7772e-05) (hash(x)=46100488)
101
+ 1600 val loss 7.2733
102
+ 1600 val perplexity 1441.3094
103
+ 1600 train 7.050428 (lr=6.6881e-05) (hash(x)=46100488)
104
+ 1700 val loss 7.2009
105
+ 1700 val perplexity 1340.6190
106
+ 1700 train 7.251199 (lr=4.7448e-05) (hash(x)=49185350)
107
+ 1700 val loss 7.2556
108
+ 1700 val perplexity 1416.0603
109
+ 1700 train 7.300930 (lr=6.6428e-05) (hash(x)=49185350)
110
+ 1800 val loss 7.1965
111
+ 1800 val perplexity 1334.7596
112
+ 1800 train 7.101544 (lr=4.7105e-05) (hash(x)=48024574)
113
+ 1800 val loss 7.2196
114
+ 1800 val perplexity 1365.9220
115
+ 1800 train 7.116072 (lr=6.5947e-05) (hash(x)=48024574)
116
+ 1900 val loss 7.1782
117
+ 1900 val perplexity 1310.5806
118
+ 1900 train 7.008852 (lr=4.6741e-05) (hash(x)=45823189)
119
+ 1900 val loss 7.2347
120
+ 1900 val perplexity 1386.6748
121
+ 1900 train 7.042696 (lr=6.5437e-05) (hash(x)=45823189)
122
+ 2000 val loss 7.1713
123
+ 2000 val perplexity 1301.4883
124
+ 2000 train 6.995096 (lr=4.6357e-05) (hash(x)=45703932)
125
+ 2000 val loss 7.1963
126
+ 2000 val perplexity 1334.4949
127
+ 2000 train 7.022106 (lr=6.4900e-05) (hash(x)=45703932)
128
+ 2100 val loss 7.1582
129
+ 2100 val perplexity 1284.6196
130
+ 2100 train 7.814315 (lr=4.5954e-05) (hash(x)=58570170)
131
+ 2100 val loss 7.1742
132
+ 2100 val perplexity 1305.3441
133
+ 2100 train 7.821298 (lr=6.4335e-05) (hash(x)=58570170)
134
+ 2200 val loss 7.1705
135
+ 2200 val perplexity 1300.4889
136
+ 2200 train 7.209018 (lr=4.5532e-05) (hash(x)=55262880)
137
+ 2200 val loss 7.1913
138
+ 2200 val perplexity 1327.8857
139
+ 2200 train 7.220510 (lr=6.3745e-05) (hash(x)=55262880)
140
+ 2300 val loss 7.1378
141
+ 2300 val perplexity 1258.6638
142
+ 2300 train 6.894910 (lr=4.5091e-05) (hash(x)=46415497)
143
+ 2300 val loss 7.1616
144
+ 2300 val perplexity 1288.9939
145
+ 2300 train 6.941603 (lr=6.3128e-05) (hash(x)=46415497)
146
+ 2400 val loss 7.1111
147
+ 2400 val perplexity 1225.4788
148
+ 2400 train 7.024413 (lr=4.4633e-05) (hash(x)=49272278)
149
+ 2400 val loss 7.1233
150
+ 2400 val perplexity 1240.5813
151
+ 2400 train 7.048873 (lr=6.2486e-05) (hash(x)=49272278)
152
+ 2500 val loss 7.0761
153
+ 2500 val perplexity 1183.3629
154
+ 2500 train 6.943182 (lr=4.4156e-05) (hash(x)=48390803)
155
+ 2500 val loss 7.1063
156
+ 2500 val perplexity 1219.6753
157
+ 2500 train 6.968485 (lr=6.1819e-05) (hash(x)=48390803)
158
+ 2600 val loss 7.0582
159
+ 2600 val perplexity 1162.3698
160
+ 2600 train 6.934459 (lr=4.3663e-05) (hash(x)=47450116)
161
+ 2600 val loss 7.0812
162
+ 2600 val perplexity 1189.4194
163
+ 2600 train 6.962214 (lr=6.1128e-05) (hash(x)=47450116)
164
+ 2700 val loss 7.0514
165
+ 2700 val perplexity 1154.4388
166
+ 2700 train 7.127511 (lr=4.3153e-05) (hash(x)=52681152)
167
+ 2700 val loss 7.0574
168
+ 2700 val perplexity 1161.4263
169
+ 2700 train 7.132858 (lr=6.0414e-05) (hash(x)=52681152)
170
+ 2800 val loss 7.0329
171
+ 2800 val perplexity 1133.3129
172
+ 2800 train 7.101951 (lr=4.2627e-05) (hash(x)=50664094)
173
+ 2800 val loss 7.0451
174
+ 2800 val perplexity 1147.2659
175
+ 2800 train 7.097102 (lr=5.9677e-05) (hash(x)=50664094)
176
+ 2900 val loss 7.0183
177
+ 2900 val perplexity 1116.9050
178
+ 2900 train 6.814544 (lr=4.2085e-05) (hash(x)=47067144)
179
+ 2900 val loss 7.0468
180
+ 2900 val perplexity 1149.1554
181
+ 2900 train 6.833675 (lr=5.8919e-05) (hash(x)=47067144)
182
+ 3000 val loss 7.0048
183
+ 3000 val perplexity 1101.9557
184
+ 3000 train 6.823463 (lr=4.1529e-05) (hash(x)=45015009)
185
+ 3000 val loss 7.0270
186
+ 3000 val perplexity 1126.6256
187
+ 3000 train 6.849481 (lr=5.8140e-05) (hash(x)=45015009)
188
+ 3100 val loss 6.9903
189
+ 3100 val perplexity 1086.0919
190
+ 3100 train 6.819701 (lr=4.0957e-05) (hash(x)=45245896)
191
+ 3100 val loss 7.0127
192
+ 3100 val perplexity 1110.6350
193
+ 3100 train 6.829636 (lr=5.7340e-05) (hash(x)=45245896)
194
+ 3200 val loss 6.9845
195
+ 3200 val perplexity 1079.7936
196
+ 3200 train 6.933752 (lr=4.0373e-05) (hash(x)=49995942)
197
+ 3200 val loss 6.9907
198
+ 3200 val perplexity 1086.5137
199
+ 3200 train 6.932501 (lr=5.6522e-05) (hash(x)=49995942)
200
+ 3300 val loss 6.9702
201
+ 3300 val perplexity 1064.4474
202
+ 3300 train 6.866320 (lr=3.9775e-05) (hash(x)=52311504)
203
+ 3300 val loss 6.9877
204
+ 3300 val perplexity 1083.1827
205
+ 3300 train 6.867157 (lr=5.5684e-05) (hash(x)=52311504)
206
+ 3400 val loss 6.9502
207
+ 3400 val perplexity 1043.3903
208
+ 3400 train 6.946955 (lr=3.9164e-05) (hash(x)=44332917)
209
+ 3400 val loss 6.9558
210
+ 3400 val perplexity 1049.1891
211
+ 3400 train 6.959603 (lr=5.4829e-05) (hash(x)=44332917)
212
+ 3500 val loss 6.9310
213
+ 3500 val perplexity 1023.5314
214
+ 3500 train 7.043299 (lr=3.8541e-05) (hash(x)=56517159)
215
+ 3500 val loss 6.9587
216
+ 3500 val perplexity 1052.2147
217
+ 3500 train 7.056464 (lr=5.3958e-05) (hash(x)=56517159)
218
+ 3600 val loss 6.9298
219
+ 3600 val perplexity 1022.2837
220
+ 3600 train 6.814017 (lr=3.7907e-05) (hash(x)=50720920)
221
+ 3600 val loss 6.9627
222
+ 3600 val perplexity 1056.4498
223
+ 3600 train 6.823014 (lr=5.3070e-05) (hash(x)=50720920)
224
+ 3700 val loss 6.9230
225
+ 3700 val perplexity 1015.3115
226
+ 3700 train 7.408505 (lr=3.7262e-05) (hash(x)=62727701)
227
+ 3700 val loss 6.9457
228
+ 3700 val perplexity 1038.6671
229
+ 3700 train 7.405176 (lr=5.2167e-05) (hash(x)=62727701)
230
+ 3800 val loss 6.8997
231
+ 3800 val perplexity 991.9767
232
+ 3800 train 6.744309 (lr=3.6608e-05) (hash(x)=54772539)
233
+ 3800 val loss 6.9512
234
+ 3800 val perplexity 1044.3679
235
+ 3800 train 6.802071 (lr=5.1251e-05) (hash(x)=54772539)
236
+ 3900 val loss 6.8893
237
+ 3900 val perplexity 981.6801
238
+ 3900 train 6.907066 (lr=3.5944e-05) (hash(x)=52274485)
239
+ 3900 val loss 6.9282
240
+ 3900 val perplexity 1020.6476
241
+ 3900 train 6.943563 (lr=5.0321e-05) (hash(x)=52274485)
242
+ 4000 val loss 6.8797
243
+ 4000 val perplexity 972.3515
244
+ 4000 train 6.587507 (lr=3.5271e-05) (hash(x)=50118307)
245
+ 4000 val loss 6.9188
246
+ 4000 val perplexity 1011.1333
247
+ 4000 train 6.632916 (lr=4.9379e-05) (hash(x)=50118307)
248
+ 4100 val loss 6.8683
249
+ 4100 val perplexity 961.2698
250
+ 4100 train 6.477684 (lr=3.4590e-05) (hash(x)=42771647)
251
+ 4100 val loss 6.9173
252
+ 4100 val perplexity 1009.5603
253
+ 4100 train 6.526671 (lr=4.8426e-05) (hash(x)=42771647)
254
+ 4200 val loss 6.8648
255
+ 4200 val perplexity 957.9387
256
+ 4200 train 6.946112 (lr=3.3902e-05) (hash(x)=51748836)
257
+ 4200 val loss 6.8992
258
+ 4200 val perplexity 991.4320
259
+ 4200 train 6.988651 (lr=4.7463e-05) (hash(x)=51748836)
260
+ 4300 val loss 6.8309
261
+ 4300 val perplexity 926.0364
262
+ 4300 train 6.852984 (lr=3.3207e-05) (hash(x)=49021280)
263
+ 4300 val loss 6.8634
264
+ 4300 val perplexity 956.5743
265
+ 4300 train 6.886794 (lr=4.6490e-05) (hash(x)=49021280)
266
+ 4400 val loss 6.8110
267
+ 4400 val perplexity 907.7654
268
+ 4400 train 6.871642 (lr=3.2507e-05) (hash(x)=55200309)
269
+ 4400 val loss 6.8500
270
+ 4400 val perplexity 943.8713
271
+ 4400 train 6.919098 (lr=4.5509e-05) (hash(x)=55200309)
272
+ 4500 val loss 6.8002
273
+ 4500 val perplexity 898.0311
274
+ 4500 train 6.855990 (lr=3.1801e-05) (hash(x)=52085049)
275
+ 4500 val loss 6.8419
276
+ 4500 val perplexity 936.2292
277
+ 4500 train 6.906362 (lr=4.4521e-05) (hash(x)=52085049)
278
+ 4600 val loss 6.7947
279
+ 4600 val perplexity 893.1308
280
+ 4600 train 6.786499 (lr=3.1091e-05) (hash(x)=48935595)
281
+ 4600 val loss 6.8137
282
+ 4600 val perplexity 910.2144
283
+ 4600 train 6.811741 (lr=4.3527e-05) (hash(x)=48935595)
284
+ 4700 val loss 6.7692
285
+ 4700 val perplexity 870.6316
286
+ 4700 train 6.986565 (lr=3.0377e-05) (hash(x)=49182380)
287
+ 4700 val loss 6.7991
288
+ 4700 val perplexity 897.0356
289
+ 4700 train 7.015434 (lr=4.2528e-05) (hash(x)=49182380)
290
+ 4800 val loss 6.7546
291
+ 4800 val perplexity 857.9871
292
+ 4800 train 6.557003 (lr=2.9661e-05) (hash(x)=43941929)
293
+ 4800 val loss 6.7950
294
+ 4800 val perplexity 893.3301
295
+ 4800 train 6.608094 (lr=4.1525e-05) (hash(x)=43941929)
296
+ 4900 val loss 6.7453
297
+ 4900 val perplexity 850.0325
298
+ 4900 train 6.908017 (lr=2.8942e-05) (hash(x)=51852773)
299
+ 4900 val loss 6.7802
300
+ 4900 val perplexity 880.2544
301
+ 4900 train 6.932560 (lr=4.0518e-05) (hash(x)=51852773)
302
+ 5000 val loss 6.7367
303
+ 5000 val perplexity 842.7851
304
+ 5000 train 6.356645 (lr=2.8221e-05) (hash(x)=40509616)
305
+ 5000 val loss 6.7714
306
+ 5000 val perplexity 872.4963
307
+ 5000 train 6.396081 (lr=3.9510e-05) (hash(x)=40509616)
308
+ 5100 val loss 6.7270
309
+ 5100 val perplexity 834.6163
310
+ 5100 train 6.991583 (lr=2.7500e-05) (hash(x)=57585369)
311
+ 5100 val loss 6.7416
312
+ 5100 val perplexity 846.9026
313
+ 5100 train 6.995601 (lr=3.8500e-05) (hash(x)=57585369)
314
+ 5200 val loss 6.7101
315
+ 5200 val perplexity 820.6826
316
+ 5200 train 6.710048 (lr=2.6779e-05) (hash(x)=51042313)
317
+ 5200 val loss 6.7433
318
+ 5200 val perplexity 848.3735
319
+ 5200 train 6.749459 (lr=3.7490e-05) (hash(x)=51042313)
320
+ 5300 val loss 6.6991
321
+ 5300 val perplexity 811.6769
322
+ 5300 train 6.843317 (lr=2.6058e-05) (hash(x)=52001684)
323
+ 5300 val loss 6.7278
324
+ 5300 val perplexity 835.3138
325
+ 5300 train 6.872353 (lr=3.6482e-05) (hash(x)=52001684)
326
+ 5400 val loss 6.6844
327
+ 5400 val perplexity 799.8459
328
+ 5400 train 6.608623 (lr=2.5339e-05) (hash(x)=48831647)
329
+ 5400 val loss 6.7170
330
+ 5400 val perplexity 826.3600
331
+ 5400 train 6.639812 (lr=3.5475e-05) (hash(x)=48831647)
332
+ 5500 val loss 6.6733
333
+ 5500 val perplexity 790.9973
334
+ 5500 train 7.073305 (lr=2.4623e-05) (hash(x)=50192069)
335
+ 5500 val loss 6.7281
336
+ 5500 val perplexity 835.5864
337
+ 5500 train 7.133408 (lr=3.4472e-05) (hash(x)=50192069)
338
+ 5600 val loss 6.6626
339
+ 5600 val perplexity 782.5651
340
+ 5600 train 6.471318 (lr=2.3909e-05) (hash(x)=47208852)
341
+ 5600 val loss 6.7018
342
+ 5600 val perplexity 813.8849
343
+ 5600 train 6.518745 (lr=3.3473e-05) (hash(x)=47208852)
344
+ 5700 val loss 6.6626
345
+ 5700 val perplexity 782.5812
346
+ 5700 train 6.235447 (lr=2.3199e-05) (hash(x)=44061694)
347
+ 5700 val loss 6.7001
348
+ 5700 val perplexity 812.4940
349
+ 5700 train 6.281430 (lr=3.2479e-05) (hash(x)=44061694)
350
+ 5800 val loss 6.6482
351
+ 5800 val perplexity 771.4292
352
+ 5800 train 7.028475 (lr=2.2493e-05) (hash(x)=56513279)
353
+ 5800 val loss 6.6854
354
+ 5800 val perplexity 800.6347
355
+ 5800 train 7.046527 (lr=3.1491e-05) (hash(x)=56513279)
356
+ 5900 val loss 6.6390
357
+ 5900 val perplexity 764.3682
358
+ 5900 train 6.778142 (lr=2.1793e-05) (hash(x)=50412818)
359
+ 5900 val loss 6.6802
360
+ 5900 val perplexity 796.4485
361
+ 5900 train 6.831610 (lr=3.0510e-05) (hash(x)=50412818)
362
+ 6000 val loss 6.6357
363
+ 6000 val perplexity 761.7829
364
+ 6000 train 6.446944 (lr=2.1098e-05) (hash(x)=47159634)
365
+ 6000 val loss 6.6713
366
+ 6000 val perplexity 789.4302
367
+ 6000 train 6.488885 (lr=2.9537e-05) (hash(x)=47159634)
368
+ 6100 val loss 6.6175
369
+ 6100 val perplexity 748.0796
370
+ 6100 train 6.715433 (lr=2.0410e-05) (hash(x)=54312795)
371
+ 6100 val loss 6.6555
372
+ 6100 val perplexity 777.0111
373
+ 6100 train 6.751032 (lr=2.8574e-05) (hash(x)=54312795)
374
+ 6200 val loss 6.6087
375
+ 6200 val perplexity 741.5112
376
+ 6200 train 6.761733 (lr=1.9729e-05) (hash(x)=54187587)
377
+ 6200 val loss 6.6418
378
+ 6200 val perplexity 766.5114
379
+ 6200 train 6.792206 (lr=2.7621e-05) (hash(x)=54187587)
380
+ 6300 val loss 6.6008
381
+ 6300 val perplexity 735.6593
382
+ 6300 train 6.716049 (lr=1.9056e-05) (hash(x)=53620387)
383
+ 6300 val loss 6.6270
384
+ 6300 val perplexity 755.2397
385
+ 6300 train 6.738632 (lr=2.6679e-05) (hash(x)=53620387)
386
+ 6400 val loss 6.5969
387
+ 6400 val perplexity 732.8492
388
+ 6400 train 6.540919 (lr=1.8392e-05) (hash(x)=48761774)
389
+ 6400 val loss 6.6193
390
+ 6400 val perplexity 749.4073
391
+ 6400 train 6.558865 (lr=2.5749e-05) (hash(x)=48761774)
392
+ 6500 val loss 6.5836
393
+ 6500 val perplexity 723.1132
394
+ 6500 train 6.806363 (lr=1.7738e-05) (hash(x)=56690281)
395
+ 6500 val loss 6.6142
396
+ 6500 val perplexity 745.6394
397
+ 6500 train 6.849979 (lr=2.4833e-05) (hash(x)=56690281)
398
+ 6600 val loss 6.5759
399
+ 6600 val perplexity 717.5851
400
+ 6600 train 6.373225 (lr=1.7093e-05) (hash(x)=42985269)
401
+ 6600 val loss 6.6067
402
+ 6600 val perplexity 740.0142
403
+ 6600 train 6.412946 (lr=2.3930e-05) (hash(x)=42985269)
404
+ 6700 val loss 6.5883
405
+ 6700 val perplexity 726.5438
406
+ 6700 train 6.632374 (lr=1.6459e-05) (hash(x)=53315447)
407
+ 6700 val loss 6.6465
408
+ 6700 val perplexity 770.0811
409
+ 6700 train 6.687102 (lr=2.3042e-05) (hash(x)=53315447)
410
+ 6800 val loss 6.5659
411
+ 6800 val perplexity 710.4279
412
+ 6800 train 7.029819 (lr=1.5836e-05) (hash(x)=61577166)
413
+ 6800 val loss 6.5924
414
+ 6800 val perplexity 729.5439
415
+ 6800 train 7.053003 (lr=2.2171e-05) (hash(x)=61577166)
416
+ 6900 val loss 6.5586
417
+ 6900 val perplexity 705.2489
418
+ 6900 train 6.690564 (lr=1.5225e-05) (hash(x)=54641005)
419
+ 6900 val loss 6.5893
420
+ 6900 val perplexity 727.2960
421
+ 6900 train 6.726195 (lr=2.1316e-05) (hash(x)=54641005)
422
+ 7000 val loss 6.5510
423
+ 7000 val perplexity 699.9125
424
+ 7000 train 7.094835 (lr=1.4627e-05) (hash(x)=60579512)
425
+ 7000 val loss 6.5950
426
+ 7000 val perplexity 731.3928
427
+ 7000 train 7.124228 (lr=2.0478e-05) (hash(x)=60579512)
428
+ 7100 val loss 6.5470
429
+ 7100 val perplexity 697.1821
430
+ 7100 train 6.442610 (lr=1.4043e-05) (hash(x)=53151549)
431
+ 7100 val loss 6.5818
432
+ 7100 val perplexity 721.8381
433
+ 7100 train 6.473633 (lr=1.9660e-05) (hash(x)=53151549)
434
+ 7200 val loss 6.5441
435
+ 7200 val perplexity 695.1605
436
+ 7200 train 7.482133 (lr=1.3471e-05) (hash(x)=71842455)
437
+ 7200 val loss 6.5744
438
+ 7200 val perplexity 716.4940
439
+ 7200 train 7.518528 (lr=1.8860e-05) (hash(x)=71842455)
440
+ 7300 val loss 6.5423
441
+ 7300 val perplexity 693.9010
442
+ 7300 train 6.313259 (lr=1.2915e-05) (hash(x)=44516452)
443
+ 7300 val loss 6.5735
444
+ 7300 val perplexity 715.8937
445
+ 7300 train 6.335499 (lr=1.8081e-05) (hash(x)=44516452)
446
+ 7400 val loss 6.5372
447
+ 7400 val perplexity 690.3647
448
+ 7400 train 6.185552 (lr=1.2373e-05) (hash(x)=42667710)
449
+ 7400 val loss 6.5690
450
+ 7400 val perplexity 712.6825
451
+ 7400 train 6.217746 (lr=1.7323e-05) (hash(x)=42667710)
452
+ 7500 val loss 6.5379
453
+ 7500 val perplexity 690.8422
454
+ 7500 train 6.279439 (lr=1.1847e-05) (hash(x)=47050797)
455
+ 7500 val loss 6.5736
456
+ 7500 val perplexity 715.9745
457
+ 7500 train 6.322675 (lr=1.6586e-05) (hash(x)=47050797)
458
+ 7600 val loss 6.5328
459
+ 7600 val perplexity 687.3523
460
+ 7600 train 6.446810 (lr=1.1337e-05) (hash(x)=49785056)
461
+ 7600 val loss 6.5663
462
+ 7600 val perplexity 710.7661
463
+ 7600 train 6.485307 (lr=1.5872e-05) (hash(x)=49785056)
464
+ 7700 val loss 6.5258
465
+ 7700 val perplexity 682.5475
466
+ 7700 train 6.347061 (lr=1.0844e-05) (hash(x)=53232030)
467
+ 7700 val loss 6.5539
468
+ 7700 val perplexity 701.9633
469
+ 7700 train 6.363538 (lr=1.5181e-05) (hash(x)=53232030)
470
+ 7800 val loss 6.5232
471
+ 7800 val perplexity 680.7534
472
+ 7800 train 6.337240 (lr=1.0367e-05) (hash(x)=48049749)
473
+ 7800 val loss 6.5506
474
+ 7800 val perplexity 699.6725
475
+ 7800 train 6.387172 (lr=1.4514e-05) (hash(x)=48049749)
476
+ 7900 val loss 6.5147
477
+ 7900 val perplexity 675.0194
478
+ 7900 train 6.333706 (lr=9.9088e-06) (hash(x)=44768513)
479
+ 7900 val loss 6.5412
480
+ 7900 val perplexity 693.1060
481
+ 7900 train 6.345912 (lr=1.3872e-05) (hash(x)=44768513)
482
+ 8000 val loss 6.5126
483
+ 8000 val perplexity 673.5455
484
+ 8000 train 6.364021 (lr=9.4682e-06) (hash(x)=46228039)
485
+ 8000 val loss 6.5334
486
+ 8000 val perplexity 687.7585
487
+ 8000 train 6.399539 (lr=1.3255e-05) (hash(x)=46228039)
488
+ 8100 val loss 6.5056
489
+ 8100 val perplexity 668.8973
490
+ 8100 train 6.890257 (lr=9.0461e-06) (hash(x)=60017091)
491
+ 8100 val loss 6.5337
492
+ 8100 val perplexity 687.9074
493
+ 8100 train 6.910211 (lr=1.2665e-05) (hash(x)=60017091)
494
+ 8200 val loss 6.5021
495
+ 8200 val perplexity 666.5466
496
+ 8200 train 6.503376 (lr=8.6430e-06) (hash(x)=49910198)
497
+ 8200 val loss 6.5272
498
+ 8200 val perplexity 683.4747
499
+ 8200 train 6.535112 (lr=1.2100e-05) (hash(x)=49910198)
500
+ 8300 val loss 6.4962
501
+ 8300 val perplexity 662.6019
502
+ 8300 train 6.844116 (lr=8.2593e-06) (hash(x)=57919055)
503
+ 8300 val loss 6.5207
504
+ 8300 val perplexity 679.0652
505
+ 8300 train 6.860990 (lr=1.1563e-05) (hash(x)=57919055)
506
+ 8400 val loss 6.4953
507
+ 8400 val perplexity 662.0015
508
+ 8400 train 6.590104 (lr=7.8953e-06) (hash(x)=49694964)
509
+ 8400 val loss 6.5190
510
+ 8400 val perplexity 677.8727
511
+ 8400 train 6.614913 (lr=1.1053e-05) (hash(x)=49694964)
512
+ 8500 val loss 6.4913
513
+ 8500 val perplexity 659.3549
514
+ 8500 train 6.505794 (lr=7.5515e-06) (hash(x)=53762585)
515
+ 8500 val loss 6.5127
516
+ 8500 val perplexity 673.6345
517
+ 8500 train 6.534412 (lr=1.0572e-05) (hash(x)=53762585)
518
+ 8600 val loss 6.4897
519
+ 8600 val perplexity 658.3483
520
+ 8600 train 6.516029 (lr=7.2282e-06) (hash(x)=51166973)
521
+ 8600 val loss 6.5104
522
+ 8600 val perplexity 672.0836
523
+ 8600 train 6.537435 (lr=1.0119e-05) (hash(x)=51166973)
524
+ 8700 val loss 6.5081
525
+ 8700 val perplexity 670.5390
526
+ 8700 train 6.594219 (lr=9.6960e-06) (hash(x)=53968049)
527
+ 8700 val loss 6.4891
528
+ 8700 val perplexity 657.9178
529
+ 8700 train 6.569641 (lr=6.9257e-06) (hash(x)=53968049)
530
+ 8800 val loss 6.5047
531
+ 8800 val perplexity 668.3008
532
+ 8800 train 6.594789 (lr=9.3021e-06) (hash(x)=59231056)
533
+ 8800 val loss 6.4841
534
+ 8800 val perplexity 654.6766
535
+ 8800 train 6.569866 (lr=6.6444e-06) (hash(x)=59231056)
536
+ 8900 val loss 6.5031
537
+ 8900 val perplexity 667.2048
538
+ 8900 train 6.406780 (lr=8.9382e-06) (hash(x)=50488048)
539
+ 8900 val loss 6.4835
540
+ 8900 val perplexity 654.2831
541
+ 9000 val loss 6.5006
542
+ 9000 val perplexity 665.5312
543
+ 8900 train 6.380212 (lr=6.3845e-06) (hash(x)=50488048)
544
+ 9000 train 6.212546 (lr=8.6047e-06) (hash(x)=44492956)
545
+ 9100 val loss 6.5057
546
+ 9100 val perplexity 668.9218
547
+ 9100 train 6.543286 (lr=8.3020e-06) (hash(x)=51134989)
548
+ 9000 val loss 6.4798
549
+ 9000 val perplexity 651.8441
550
+ 9000 train 6.196507 (lr=6.1462e-06) (hash(x)=44492956)
551
+ 9200 val loss 6.4988
552
+ 9200 val perplexity 664.3596
553
+ 9200 train 6.313716 (lr=8.0302e-06) (hash(x)=48636056)
554
+ 9100 val loss 6.4836
555
+ 9100 val perplexity 654.3164
556
+ 9100 train 6.517267 (lr=5.9300e-06) (hash(x)=51134989)
557
+ 9300 val loss 6.4975
558
+ 9300 val perplexity 663.4982
559
+ 9300 train 6.441718 (lr=7.7898e-06) (hash(x)=50200551)
560
+ 9200 val loss 6.4788
561
+ 9200 val perplexity 651.1703
562
+ 9200 train 6.282190 (lr=5.7359e-06) (hash(x)=48636056)
563
+ 9400 val loss 6.4984
564
+ 9400 val perplexity 664.0980
565
+ 9400 train 6.325517 (lr=7.5809e-06) (hash(x)=48057228)
566
+ 9300 val loss 6.4773
567
+ 9300 val perplexity 650.2233
568
+ 9300 train 6.417827 (lr=5.5641e-06) (hash(x)=50200551)
569
+ 9500 val loss 6.4931
570
+ 9500 val perplexity 660.5939
571
+ 9500 train 6.270067 (lr=7.4038e-06) (hash(x)=48125171)
572
+ 9400 val loss 6.4772
573
+ 9400 val perplexity 650.1170
574
+ 9400 train 6.301267 (lr=5.4149e-06) (hash(x)=48057228)
575
+ 9600 val loss 6.4923
576
+ 9600 val perplexity 660.0577
577
+ 9600 train 6.415076 (lr=7.2586e-06) (hash(x)=53375853)
578
+ 9500 val loss 6.4735
579
+ 9500 val perplexity 647.7742
580
+ 9500 train 6.245581 (lr=5.2884e-06) (hash(x)=48125171)
581
+ 9700 val loss 6.4883
582
+ 9700 val perplexity 657.3944
583
+ 9700 train 7.296200 (lr=7.1456e-06) (hash(x)=53924631)
584
+ 9600 val loss 6.4741
585
+ 9600 val perplexity 648.1082
586
+ 9600 train 6.401201 (lr=5.1847e-06) (hash(x)=53375853)
587
+ 9800 val loss 6.4832
588
+ 9800 val perplexity 654.0672
589
+ 9800 train 6.527805 (lr=7.0647e-06) (hash(x)=48895047)
590
+ 9700 val loss 6.4699
591
+ 9700 val perplexity 645.3882
592
+ 9700 train 7.271974 (lr=5.1040e-06) (hash(x)=53924631)
593
+ 9900 val loss 6.4799
594
+ 9900 val perplexity 651.8783
595
+ 9900 train 6.321083 (lr=7.0162e-06) (hash(x)=44269923)
596
+ 9800 val loss 6.4660
597
+ 9800 val perplexity 642.9058
598
+ 9800 train 6.506448 (lr=5.0462e-06) (hash(x)=48895047)
599
+ 9999 val loss 6.4860
600
+ 9999 val perplexity 655.9136
601
+ 9900 val loss 6.4629
602
+ 9900 val perplexity 640.8951
603
+ 9900 train 6.308586 (lr=5.0116e-06) (hash(x)=44269923)
604
+ 9999 val loss 6.4654
605
+ 9999 val perplexity 642.5481
attention_kindselective_n_heads4_seed1341/model_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d4dd19d55eccbca4cc0d4abab192709a4e04037b423dcf01f739eec9d2889807
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:49dcb2bbcd59a985e2fea57fad06afedf1f64d61094d1dc8f6cfc83c6fdf6cd1
3
  size 92843394
attention_kindselective_n_heads4_seed1341/model_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:897c2fca90a8a86414cec7ef9f9dba951412bdc1d1b3736048c368ad5d6d206d
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:231a8f89882888110c171b221d63ff6e1cb161b75abe119498640b4cf4f64a3d
3
  size 92843394
attention_kindselective_n_heads4_seed1341/model_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:53d429564946189dea5d288e8a03b4bfd8eb188459cbc1d8e724ccb87f538f77
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c22e2287221c2854c890def3ad5a680c15132745c807ad9edbd776085af63c0
3
  size 92843394
attention_kindselective_n_heads4_seed1341/model_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7002c239e79b53ed1ff51816d5a0819c177cd02442ad4f91edd01037ed04dc90
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae8e7546121eb2fcbccb16e950a8578382d106d75e43bf389c1df910a26b45cf
3
  size 92843394
attention_kindselective_n_heads4_seed1341/optimizer_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:31d88e061c99a7f36e0d25bb9be9cf00fb2ca8080cc9da28f9c5e50fa85dfaa4
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e25a8af3279e7d30f2fa3cec153d0be60a339227e6c25055bedb248f25844a2
3
  size 179406214
attention_kindselective_n_heads4_seed1341/optimizer_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:45a23b5438972806ac3ff4f774bbdaca4f8dd88b515c93a9b89cd11d0b848d99
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b29711ebb29c7f449c48556bab06813e77398c99c72a393938e1c4250ad3ba6
3
  size 179406214
attention_kindselective_n_heads4_seed1341/optimizer_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cd8888fc9d1ae8d4db6810cdff83bfd3f1d60b67f0b6a4ebc53db99906b4ba9c
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:17523d4ab8ec9adf3994022ccee185ada0f5971a9a3fbd0cd6986ee2cf6e6613
3
  size 179406214
attention_kindselective_n_heads4_seed1341/optimizer_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:26c6af83136a26760446afc9ba36e45eaa02cd5ef16fbb40c5a070b2857403be
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d57bc15456b0e24b344a28176223bc2bcd78aa80ee88708afb702ad14b20aa6
3
  size 179406214