andrew-healey commited on
Commit
64dc191
·
verified ·
1 Parent(s): 12b5a77

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1338/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1338", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 17500, "warmup_steps": 200, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1338, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": 3.25e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3.25e-5_30720_4_1338", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1338", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 17500, "warmup_steps": 200, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1338, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": 2.75e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "2.75e-5_30720_4_1338", "n_embd": 256}
attention_kindselective_n_heads4_seed1338/log2.txt CHANGED
@@ -1,528 +1,528 @@
1
  max_steps: 17500
2
  0 val loss 11.2663
3
  0 val perplexity 78147.0000
4
- 0 train 11.263341 (lr=1.6250e-07) (hash(x)=150327452)
5
- 100 val loss 9.8875
6
- 100 val perplexity 19683.5957
7
- 100 train 9.898082 (lr=1.6412e-05) (hash(x)=166441190)
8
- 200 val loss 8.9232
9
- 200 val perplexity 7504.3047
10
- 200 train 9.040984 (lr=3.2500e-05) (hash(x)=166780046)
11
- 300 val loss 8.0895
12
- 300 val perplexity 3259.9653
13
- 300 train 8.044475 (lr=3.2498e-05) (hash(x)=159835303)
14
- 400 val loss 7.7549
15
- 400 val perplexity 2332.9883
16
- 400 train 7.555726 (lr=3.2490e-05) (hash(x)=155040610)
17
- 500 val loss 7.6166
18
- 500 val perplexity 2031.6100
19
- 500 train 7.373107 (lr=3.2478e-05) (hash(x)=130190460)
20
- 600 val loss 7.5216
21
- 600 val perplexity 1847.4545
22
- 600 train 7.546905 (lr=3.2461e-05) (hash(x)=155504036)
23
- 700 val loss 7.4629
24
- 700 val perplexity 1742.1884
25
- 700 train 7.319477 (lr=3.2440e-05) (hash(x)=137347213)
26
- 800 val loss 7.4212
27
- 800 val perplexity 1670.9910
28
- 800 train 7.279414 (lr=3.2413e-05) (hash(x)=143823248)
29
- 900 val loss 7.3721
30
- 900 val perplexity 1590.9294
31
- 900 train 7.489573 (lr=3.2382e-05) (hash(x)=156260416)
32
- 1000 val loss 7.3399
33
- 1000 val perplexity 1540.5684
34
- 1000 train 7.312011 (lr=3.2346e-05) (hash(x)=143734685)
35
- 1100 val loss 7.2992
36
- 1100 val perplexity 1479.1761
37
- 1100 train 7.239788 (lr=3.2305e-05) (hash(x)=160013925)
38
- 1200 val loss 7.2686
39
- 1200 val perplexity 1434.5974
40
- 1200 train 7.015460 (lr=3.2260e-05) (hash(x)=150678249)
41
- 1300 val loss 7.2366
42
- 1300 val perplexity 1389.3865
43
- 1300 train 7.022800 (lr=3.2209e-05) (hash(x)=149073315)
44
- 1400 val loss 7.1896
45
- 1400 val perplexity 1325.6152
46
- 1400 train 7.533691 (lr=3.2154e-05) (hash(x)=175802021)
47
- 1500 val loss 7.1516
48
- 1500 val perplexity 1276.0918
49
- 1500 train 7.414447 (lr=3.2094e-05) (hash(x)=171034639)
50
- 1600 val loss 7.1099
51
- 1600 val perplexity 1224.0310
52
- 1600 train 7.326279 (lr=3.2030e-05) (hash(x)=158681215)
53
- 1700 val loss 7.0736
54
- 1700 val perplexity 1180.4250
55
- 1700 train 7.009824 (lr=3.1961e-05) (hash(x)=152116061)
56
- 1800 val loss 7.0371
57
- 1800 val perplexity 1138.1099
58
- 1800 train 6.974350 (lr=3.1887e-05) (hash(x)=146108145)
59
- 1900 val loss 7.0033
60
- 1900 val perplexity 1100.2341
61
- 1900 train 6.837708 (lr=3.1809e-05) (hash(x)=147598108)
62
- 2000 val loss 6.9814
63
- 2000 val perplexity 1076.3971
64
- 2000 train 6.851001 (lr=3.1726e-05) (hash(x)=154996086)
65
- 2100 val loss 6.9515
66
- 2100 val perplexity 1044.6981
67
- 2100 train 6.739772 (lr=3.1638e-05) (hash(x)=153396183)
68
- 2200 val loss 6.9003
69
- 2200 val perplexity 992.5322
70
- 2200 train 6.889448 (lr=3.1546e-05) (hash(x)=153885445)
71
- 2300 val loss 6.8539
72
- 2300 val perplexity 947.5439
73
- 2300 train 6.854183 (lr=3.1449e-05) (hash(x)=159666385)
74
- 2400 val loss 6.8063
75
- 2400 val perplexity 903.5588
76
- 2400 train 6.780859 (lr=3.1348e-05) (hash(x)=142353087)
77
- 2500 val loss 6.7665
78
- 2500 val perplexity 868.3074
79
- 2500 train 6.773431 (lr=3.1243e-05) (hash(x)=146491718)
80
- 2600 val loss 6.7330
81
- 2600 val perplexity 839.6339
82
- 2600 train 6.659631 (lr=3.1133e-05) (hash(x)=150750353)
83
- 2700 val loss 6.6965
84
- 2700 val perplexity 809.5696
85
- 2700 train 6.414171 (lr=3.1019e-05) (hash(x)=129849193)
86
- 2800 val loss 6.6659
87
- 2800 val perplexity 785.1340
88
- 2800 train 6.513141 (lr=3.0900e-05) (hash(x)=152767913)
89
- 2900 val loss 6.6364
90
- 2900 val perplexity 762.3094
91
- 2900 train 6.420549 (lr=3.0777e-05) (hash(x)=146531140)
92
- 3000 val loss 6.5941
93
- 3000 val perplexity 730.7974
94
- 3000 train 6.674080 (lr=3.0650e-05) (hash(x)=151562048)
95
- 3100 val loss 6.5496
96
- 3100 val perplexity 698.9839
97
- 3100 train 6.522118 (lr=3.0518e-05) (hash(x)=146001424)
98
- 3200 val loss 6.5231
99
- 3200 val perplexity 680.6537
100
- 3200 train 6.579503 (lr=3.0383e-05) (hash(x)=166486165)
101
- 3300 val loss 6.4914
102
- 3300 val perplexity 659.4257
103
- 3300 train 6.422096 (lr=3.0243e-05) (hash(x)=150866680)
104
- 3400 val loss 6.4730
105
- 3400 val perplexity 647.4102
106
- 3400 train 6.369732 (lr=3.0099e-05) (hash(x)=143900419)
107
- 3500 val loss 6.4440
108
- 3500 val perplexity 628.8882
109
- 3500 train 6.262652 (lr=2.9952e-05) (hash(x)=148845794)
110
- 3600 val loss 6.4252
111
- 3600 val perplexity 617.2151
112
- 3600 train 6.261324 (lr=2.9800e-05) (hash(x)=145667796)
113
- 3700 val loss 6.4049
114
- 3700 val perplexity 604.8305
115
- 3700 train 6.426984 (lr=2.9644e-05) (hash(x)=163563851)
116
- 3800 val loss 6.3892
117
- 3800 val perplexity 595.3663
118
- 3800 train 6.336480 (lr=2.9485e-05) (hash(x)=147488689)
119
- 3900 val loss 6.3539
120
- 3900 val perplexity 574.7558
121
- 3900 train 6.357310 (lr=2.9321e-05) (hash(x)=148186608)
122
- 4000 val loss 6.3303
123
- 4000 val perplexity 561.3508
124
- 4000 train 6.204438 (lr=2.9154e-05) (hash(x)=142970187)
125
- 4100 val loss 6.3048
126
- 4100 val perplexity 547.1708
127
- 4100 train 6.399692 (lr=2.8983e-05) (hash(x)=141584883)
128
- 4200 val loss 6.2908
129
- 4200 val perplexity 539.5918
130
- 4200 train 6.087615 (lr=2.8808e-05) (hash(x)=145664585)
131
- 4300 val loss 6.2741
132
- 4300 val perplexity 530.6376
133
- 4300 train 6.144583 (lr=2.8630e-05) (hash(x)=143736499)
134
- 4400 val loss 6.2689
135
- 4400 val perplexity 527.8878
136
- 4400 train 6.090772 (lr=2.8448e-05) (hash(x)=151883322)
137
- 4500 val loss 6.2551
138
- 4500 val perplexity 520.6404
139
- 4500 train 6.139237 (lr=2.8263e-05) (hash(x)=153904871)
140
- 4600 val loss 6.2374
141
- 4600 val perplexity 511.5054
142
- 4600 train 6.329777 (lr=2.8075e-05) (hash(x)=154893521)
143
- 4700 val loss 6.2138
144
- 4700 val perplexity 499.6078
145
- 4700 train 6.267534 (lr=2.7883e-05) (hash(x)=152323949)
146
- 4800 val loss 6.1972
147
- 4800 val perplexity 491.3801
148
- 4800 train 6.149027 (lr=2.7687e-05) (hash(x)=154104619)
149
- 4900 val loss 6.1803
150
- 4900 val perplexity 483.1391
151
- 4900 train 6.309986 (lr=2.7489e-05) (hash(x)=146311426)
152
- 5000 val loss 6.1733
153
- 5000 val perplexity 479.7561
154
- 5000 train 6.151302 (lr=2.7287e-05) (hash(x)=156741847)
155
- 5100 val loss 6.1586
156
- 5100 val perplexity 472.7873
157
- 5100 train 5.937405 (lr=2.7082e-05) (hash(x)=142086346)
158
- 5200 val loss 6.1561
159
- 5200 val perplexity 471.5924
160
- 5200 train 5.926026 (lr=2.6874e-05) (hash(x)=150265428)
161
- 5300 val loss 6.1438
162
- 5300 val perplexity 465.7993
163
- 5300 train 6.022453 (lr=2.6664e-05) (hash(x)=151339108)
164
- 5400 val loss 6.1304
165
- 5400 val perplexity 459.6218
166
- 5400 train 6.102451 (lr=2.6450e-05) (hash(x)=154654372)
167
- 5500 val loss 6.1120
168
- 5500 val perplexity 451.2368
169
- 5500 train 6.118230 (lr=2.6233e-05) (hash(x)=150575051)
170
- 5600 val loss 6.1000
171
- 5600 val perplexity 445.8380
172
- 5600 train 6.011166 (lr=2.6014e-05) (hash(x)=140396423)
173
- 5700 val loss 6.0866
174
- 5700 val perplexity 439.9342
175
- 5700 train 5.939641 (lr=2.5792e-05) (hash(x)=144678758)
176
- 5800 val loss 6.0762
177
- 5800 val perplexity 435.3538
178
- 5800 train 6.136963 (lr=2.5567e-05) (hash(x)=151992743)
179
- 5900 val loss 6.0681
180
- 5900 val perplexity 431.8787
181
- 5900 train 5.861908 (lr=2.5340e-05) (hash(x)=144396927)
182
- 6000 val loss 6.0589
183
- 6000 val perplexity 427.8926
184
- 6000 train 6.021150 (lr=2.5111e-05) (hash(x)=165478625)
185
- 6100 val loss 6.0597
186
- 6100 val perplexity 428.2602
187
- 6100 train 5.792263 (lr=2.4879e-05) (hash(x)=147088621)
188
- 6200 val loss 6.0481
189
- 6200 val perplexity 423.3074
190
- 6200 train 5.812227 (lr=2.4644e-05) (hash(x)=140794994)
191
- 6300 val loss 6.0296
192
- 6300 val perplexity 415.5572
193
- 6300 train 5.968508 (lr=2.4408e-05) (hash(x)=134780906)
194
- 6400 val loss 6.0144
195
- 6400 val perplexity 409.2740
196
- 6400 train 5.996778 (lr=2.4169e-05) (hash(x)=149023655)
197
- 6500 val loss 6.0036
198
- 6500 val perplexity 404.8894
199
- 6500 train 5.856802 (lr=2.3928e-05) (hash(x)=147497796)
200
- 6600 val loss 6.0013
201
- 6600 val perplexity 403.9445
202
- 6600 train 5.857316 (lr=2.3686e-05) (hash(x)=152902689)
203
- 6700 val loss 6.0037
204
- 6700 val perplexity 404.9313
205
- 6700 train 6.043744 (lr=2.3441e-05) (hash(x)=153846046)
206
- 6800 val loss 5.9799
207
- 6800 val perplexity 395.4021
208
- 6800 train 6.110096 (lr=2.3195e-05) (hash(x)=158512738)
209
- 6900 val loss 5.9692
210
- 6900 val perplexity 391.2107
211
- 6900 train 6.498738 (lr=2.2946e-05) (hash(x)=156849968)
212
- 7000 val loss 5.9604
213
- 7000 val perplexity 387.7580
214
- 7000 train 5.809161 (lr=2.2696e-05) (hash(x)=142395855)
215
- 7100 val loss 5.9549
216
- 7100 val perplexity 385.6508
217
- 7100 train 5.797284 (lr=2.2445e-05) (hash(x)=147114884)
218
- 7200 val loss 5.9443
219
- 7200 val perplexity 381.5764
220
- 7200 train 5.971154 (lr=2.2192e-05) (hash(x)=156979839)
221
- 7300 val loss 5.9408
222
- 7300 val perplexity 380.2552
223
- 7300 train 5.738841 (lr=2.1937e-05) (hash(x)=145584373)
224
- 7400 val loss 5.9331
225
- 7400 val perplexity 377.3345
226
- 7400 train 5.679769 (lr=2.1682e-05) (hash(x)=141508204)
227
- 7500 val loss 5.9221
228
- 7500 val perplexity 373.2067
229
- 7500 train 5.954195 (lr=2.1425e-05) (hash(x)=148803965)
230
- 7600 val loss 5.9160
231
- 7600 val perplexity 370.9126
232
- 7600 train 5.974942 (lr=2.1166e-05) (hash(x)=151019676)
233
- 7700 val loss 5.9041
234
- 7700 val perplexity 366.5331
235
- 7700 train 5.988387 (lr=2.0907e-05) (hash(x)=143155750)
236
- 7800 val loss 5.8963
237
- 7800 val perplexity 363.6974
238
- 7800 train 5.926476 (lr=2.0647e-05) (hash(x)=152569653)
239
- 7900 val loss 5.8890
240
- 7900 val perplexity 361.0439
241
- 7900 train 5.763350 (lr=2.0386e-05) (hash(x)=143519455)
242
- 8000 val loss 5.8823
243
- 8000 val perplexity 358.6201
244
- 8000 train 6.002029 (lr=2.0123e-05) (hash(x)=161180944)
245
- 8100 val loss 5.8808
246
- 8100 val perplexity 358.0812
247
- 8100 train 5.909467 (lr=1.9861e-05) (hash(x)=154107345)
248
- 8200 val loss 5.8773
249
- 8200 val perplexity 356.8280
250
- 8200 train 5.915339 (lr=1.9597e-05) (hash(x)=152486517)
251
- 8300 val loss 5.8635
252
- 8300 val perplexity 351.9369
253
- 8300 train 5.868403 (lr=1.9333e-05) (hash(x)=156167749)
254
- 8400 val loss 5.8580
255
- 8400 val perplexity 350.0205
256
- 8400 train 5.939692 (lr=1.9069e-05) (hash(x)=149155006)
257
- 8500 val loss 5.8437
258
- 8500 val perplexity 345.0668
259
- 8500 train 5.792398 (lr=1.8804e-05) (hash(x)=147844390)
260
- 8600 val loss 5.8417
261
- 8600 val perplexity 344.3497
262
- 8600 train 6.100732 (lr=1.8539e-05) (hash(x)=165753320)
263
- 8700 val loss 5.8357
264
- 8700 val perplexity 342.2876
265
- 8700 train 5.617911 (lr=1.8273e-05) (hash(x)=146079979)
266
- 8800 val loss 5.8368
267
- 8800 val perplexity 342.6954
268
- 8800 train 6.028148 (lr=1.8008e-05) (hash(x)=172259509)
269
- 8900 val loss 5.8283
270
- 8900 val perplexity 339.7885
271
- 8900 train 5.512281 (lr=1.7742e-05) (hash(x)=145148314)
272
- 9000 val loss 5.8204
273
- 9000 val perplexity 337.1211
274
- 9000 train 5.738827 (lr=1.7477e-05) (hash(x)=144250633)
275
- 9100 val loss 5.8136
276
- 9100 val perplexity 334.8091
277
- 9100 train 5.910919 (lr=1.7211e-05) (hash(x)=157219797)
278
- 9200 val loss 5.8091
279
- 9200 val perplexity 333.3240
280
- 9200 train 5.853679 (lr=1.6946e-05) (hash(x)=142743778)
281
- 9300 val loss 5.7980
282
- 9300 val perplexity 329.6350
283
- 9300 train 5.722970 (lr=1.6681e-05) (hash(x)=139669771)
284
- 9400 val loss 5.7902
285
- 9400 val perplexity 327.0877
286
- 9400 train 5.823825 (lr=1.6417e-05) (hash(x)=145916843)
287
- 9500 val loss 5.7892
288
- 9500 val perplexity 326.7543
289
- 9500 train 5.710148 (lr=1.6153e-05) (hash(x)=150196125)
290
- 9600 val loss 5.7812
291
- 9600 val perplexity 324.1400
292
- 9600 train 6.082446 (lr=1.5889e-05) (hash(x)=160041419)
293
- 9700 val loss 5.7831
294
- 9700 val perplexity 324.7499
295
- 9700 train 5.570460 (lr=1.5627e-05) (hash(x)=139931627)
296
- 9800 val loss 5.7745
297
- 9800 val perplexity 321.9872
298
- 9800 train 5.752125 (lr=1.5364e-05) (hash(x)=150370792)
299
- 9900 val loss 5.7680
300
- 9900 val perplexity 319.8929
301
- 9900 train 5.602925 (lr=1.5103e-05) (hash(x)=153014886)
302
- 10000 val loss 5.7651
303
- 10000 val perplexity 318.9697
304
- 10000 train 5.674670 (lr=1.4843e-05) (hash(x)=141915265)
305
- 10100 val loss 5.7595
306
- 10100 val perplexity 317.1992
307
- 10100 train 6.257363 (lr=1.4584e-05) (hash(x)=197770952)
308
- 10200 val loss 5.7518
309
- 10200 val perplexity 314.7549
310
- 10200 train 5.720849 (lr=1.4325e-05) (hash(x)=156806005)
311
- 10300 val loss 5.7469
312
- 10300 val perplexity 313.2228
313
- 10300 train 5.550874 (lr=1.4068e-05) (hash(x)=145378216)
314
- 10400 val loss 5.7420
315
- 10400 val perplexity 311.6738
316
- 10400 train 5.648454 (lr=1.3813e-05) (hash(x)=145125407)
317
- 10500 val loss 5.7383
318
- 10500 val perplexity 310.5409
319
- 10500 train 5.556795 (lr=1.3558e-05) (hash(x)=147553745)
320
- 10600 val loss 5.7375
321
- 10600 val perplexity 310.2906
322
- 10600 train 5.377072 (lr=1.3305e-05) (hash(x)=134894889)
323
- 10700 val loss 5.7291
324
- 10700 val perplexity 307.6816
325
- 10700 train 5.653048 (lr=1.3054e-05) (hash(x)=151041040)
326
- 10800 val loss 5.7224
327
- 10800 val perplexity 305.6333
328
- 10800 train 5.655978 (lr=1.2804e-05) (hash(x)=145685829)
329
- 10900 val loss 5.7162
330
- 10900 val perplexity 303.7596
331
- 10900 train 5.794735 (lr=1.2555e-05) (hash(x)=156000716)
332
- 11000 val loss 5.7139
333
- 11000 val perplexity 303.0442
334
- 11000 train 5.712698 (lr=1.2309e-05) (hash(x)=149858163)
335
- 11100 val loss 5.7135
336
- 11100 val perplexity 302.9354
337
- 11100 train 5.992548 (lr=1.2064e-05) (hash(x)=164873575)
338
- 11200 val loss 5.7104
339
- 11200 val perplexity 301.9899
340
- 11200 train 5.599405 (lr=1.1822e-05) (hash(x)=156370069)
341
- 11300 val loss 5.7097
342
- 11300 val perplexity 301.7715
343
- 11300 train 5.798551 (lr=1.1581e-05) (hash(x)=160356892)
344
- 11400 val loss 5.6994
345
- 11400 val perplexity 298.6908
346
- 11400 train 5.780049 (lr=1.1342e-05) (hash(x)=158955430)
347
- 11500 val loss 5.6948
348
- 11500 val perplexity 297.3225
349
- 11500 train 5.655000 (lr=1.1106e-05) (hash(x)=146598377)
350
- 11600 val loss 5.7098
351
- 11600 val perplexity 301.8159
352
- 11600 train 5.854637 (lr=1.0871e-05) (hash(x)=156045795)
353
- 11700 val loss 5.6914
354
- 11700 val perplexity 296.3024
355
- 11700 train 5.548706 (lr=1.0639e-05) (hash(x)=143963334)
356
- 11800 val loss 5.6887
357
- 11800 val perplexity 295.4948
358
- 11800 train 5.527222 (lr=1.0410e-05) (hash(x)=145831579)
359
- 11900 val loss 5.6838
360
- 11900 val perplexity 294.0689
361
- 11900 train 5.845513 (lr=1.0183e-05) (hash(x)=165154141)
362
- 12000 val loss 5.6766
363
- 12000 val perplexity 291.9412
364
- 12000 train 5.762044 (lr=9.9580e-06) (hash(x)=160373794)
365
- 12100 val loss 5.6749
366
- 12100 val perplexity 291.4481
367
- 12100 train 5.463029 (lr=9.7360e-06) (hash(x)=141476346)
368
- 12200 val loss 5.6715
369
- 12200 val perplexity 290.4636
370
- 12200 train 5.920372 (lr=9.5167e-06) (hash(x)=164508058)
371
- 12300 val loss 5.6698
372
- 12300 val perplexity 289.9705
373
- 12300 train 5.644031 (lr=9.3001e-06) (hash(x)=140407664)
374
- 12400 val loss 5.6671
375
- 12400 val perplexity 289.1933
376
- 12400 train 5.524893 (lr=9.0864e-06) (hash(x)=149526189)
377
- 12500 val loss 5.6616
378
- 12500 val perplexity 287.5968
379
- 12500 train 5.514926 (lr=8.8756e-06) (hash(x)=142060916)
380
- 12600 val loss 5.6573
381
- 12600 val perplexity 286.3658
382
- 12600 train 5.838615 (lr=8.6677e-06) (hash(x)=168650848)
383
- 12700 val loss 5.6561
384
- 12700 val perplexity 286.0426
385
- 12700 train 5.684471 (lr=8.4629e-06) (hash(x)=154353018)
386
- 12800 val loss 5.6554
387
- 12800 val perplexity 285.8341
388
- 12800 train 5.816707 (lr=8.2612e-06) (hash(x)=156115265)
389
- 12900 val loss 5.6525
390
- 12900 val perplexity 284.9962
391
- 12900 train 5.576836 (lr=8.0627e-06) (hash(x)=143378175)
392
- 13000 val loss 5.6485
393
- 13000 val perplexity 283.8571
394
- 13000 train 5.746207 (lr=7.8674e-06) (hash(x)=166124864)
395
- 13100 val loss 5.6475
396
- 13100 val perplexity 283.5952
397
- 13100 train 5.527974 (lr=7.6754e-06) (hash(x)=146615385)
398
- 13200 val loss 5.6470
399
- 13200 val perplexity 283.4364
400
- 13200 train 5.544142 (lr=7.4867e-06) (hash(x)=149236047)
401
- 13300 val loss 5.6417
402
- 13300 val perplexity 281.9557
403
- 13300 train 5.580195 (lr=7.3015e-06) (hash(x)=151346972)
404
- 13400 val loss 5.6390
405
- 13400 val perplexity 281.1739
406
- 13400 train 5.729071 (lr=7.1198e-06) (hash(x)=159167093)
407
- 13500 val loss 5.6384
408
- 13500 val perplexity 281.0078
409
- 13500 train 5.365855 (lr=6.9416e-06) (hash(x)=135054650)
410
- 13600 val loss 5.6369
411
- 13600 val perplexity 280.6006
412
- 13600 train 5.514214 (lr=6.7670e-06) (hash(x)=151033927)
413
- 13700 val loss 5.6363
414
- 13700 val perplexity 280.4331
415
- 13700 train 5.341426 (lr=6.5961e-06) (hash(x)=141119172)
416
- 13800 val loss 5.6337
417
- 13800 val perplexity 279.6906
418
- 13800 train 5.352831 (lr=6.4289e-06) (hash(x)=144197766)
419
- 13900 val loss 5.6292
420
- 13900 val perplexity 278.4267
421
- 13900 train 5.567875 (lr=6.2655e-06) (hash(x)=145148158)
422
- 14000 val loss 5.6262
423
- 14000 val perplexity 277.5951
424
- 14000 train 6.124477 (lr=6.1059e-06) (hash(x)=179068751)
425
- 14100 val loss 5.6250
426
- 14100 val perplexity 277.2643
427
- 14100 train 5.494565 (lr=5.9502e-06) (hash(x)=144988373)
428
- 14200 val loss 5.6235
429
- 14200 val perplexity 276.8575
430
- 14200 train 5.556700 (lr=5.7984e-06) (hash(x)=133379696)
431
- 14300 val loss 5.6244
432
- 14300 val perplexity 277.1109
433
- 14300 train 5.506085 (lr=5.6506e-06) (hash(x)=149883422)
434
- 14400 val loss 5.6243
435
- 14400 val perplexity 277.0917
436
- 14400 train 5.492159 (lr=5.5068e-06) (hash(x)=145709198)
437
- 14500 val loss 5.6185
438
- 14500 val perplexity 275.4824
439
- 14500 train 5.636049 (lr=5.3671e-06) (hash(x)=148016579)
440
- 14600 val loss 5.6168
441
- 14600 val perplexity 274.9970
442
- 14600 train 5.586943 (lr=5.2316e-06) (hash(x)=150218222)
443
- 14700 val loss 5.6163
444
- 14700 val perplexity 274.8758
445
- 14700 train 5.543831 (lr=5.1002e-06) (hash(x)=142258737)
446
- 14800 val loss 5.6128
447
- 14800 val perplexity 273.9005
448
- 14800 train 5.502282 (lr=4.9730e-06) (hash(x)=147628003)
449
- 14900 val loss 5.6144
450
- 14900 val perplexity 274.3428
451
- 14900 train 5.465495 (lr=4.8501e-06) (hash(x)=149144036)
452
- 15000 val loss 5.6134
453
- 15000 val perplexity 274.0710
454
- 15000 train 5.552163 (lr=4.7314e-06) (hash(x)=145925409)
455
- 15100 val loss 5.6101
456
- 15100 val perplexity 273.1843
457
- 15100 train 5.497269 (lr=4.6171e-06) (hash(x)=144555751)
458
- 15200 val loss 5.6077
459
- 15200 val perplexity 272.5063
460
- 15200 train 5.425412 (lr=4.5072e-06) (hash(x)=143448852)
461
- 15300 val loss 5.6064
462
- 15300 val perplexity 272.1697
463
- 15300 train 5.610938 (lr=4.4017e-06) (hash(x)=156347253)
464
- 15400 val loss 5.6046
465
- 15400 val perplexity 271.6618
466
- 15400 train 5.562627 (lr=4.3006e-06) (hash(x)=153010179)
467
- 15500 val loss 5.6050
468
- 15500 val perplexity 271.7854
469
- 15500 train 5.388970 (lr=4.2040e-06) (hash(x)=144066445)
470
- 15600 val loss 5.6043
471
- 15600 val perplexity 271.5881
472
- 15600 train 5.339193 (lr=4.1119e-06) (hash(x)=146107722)
473
- 15700 val loss 5.5999
474
- 15700 val perplexity 270.4047
475
- 15700 train 5.747085 (lr=4.0244e-06) (hash(x)=152533799)
476
- 15800 val loss 5.5981
477
- 15800 val perplexity 269.9133
478
- 15800 train 5.652522 (lr=3.9414e-06) (hash(x)=151756366)
479
- 15900 val loss 5.5974
480
- 15900 val perplexity 269.7231
481
- 15900 train 5.583819 (lr=3.8630e-06) (hash(x)=151735039)
482
- 16000 val loss 5.5969
483
- 16000 val perplexity 269.5918
484
- 16000 train 5.627756 (lr=3.7892e-06) (hash(x)=154633226)
485
- 16100 val loss 5.5972
486
- 16100 val perplexity 269.6637
487
- 16100 train 5.441843 (lr=3.7201e-06) (hash(x)=158094333)
488
- 16200 val loss 5.5964
489
- 16200 val perplexity 269.4558
490
- 16200 train 5.358812 (lr=3.6556e-06) (hash(x)=142772927)
491
- 16300 val loss 5.5958
492
- 16300 val perplexity 269.2827
493
- 16300 train 5.492966 (lr=3.5959e-06) (hash(x)=148042896)
494
- 16400 val loss 5.5922
495
- 16400 val perplexity 268.3255
496
- 16400 train 6.091084 (lr=3.5408e-06) (hash(x)=170306399)
497
- 16500 val loss 5.5917
498
- 16500 val perplexity 268.2008
499
- 16500 train 5.594467 (lr=3.4905e-06) (hash(x)=141049320)
500
- 16600 val loss 5.5916
501
- 16600 val perplexity 268.1708
502
- 16600 train 5.455967 (lr=3.4449e-06) (hash(x)=150512136)
503
- 16700 val loss 5.5894
504
- 16700 val perplexity 267.5735
505
- 16700 train 5.592753 (lr=3.4041e-06) (hash(x)=151843645)
506
- 16800 val loss 5.5878
507
- 16800 val perplexity 267.1494
508
- 16800 train 5.642298 (lr=3.3680e-06) (hash(x)=140073659)
509
- 16900 val loss 5.5860
510
- 16900 val perplexity 266.6786
511
- 16900 train 5.755163 (lr=3.3367e-06) (hash(x)=171157212)
512
- 17000 val loss 5.5844
513
- 17000 val perplexity 266.2370
514
- 17000 train 5.524979 (lr=3.3102e-06) (hash(x)=144553276)
515
- 17100 val loss 5.5853
516
- 17100 val perplexity 266.4875
517
- 17100 train 5.585420 (lr=3.2886e-06) (hash(x)=157717565)
518
- 17200 val loss 5.5848
519
- 17200 val perplexity 266.3359
520
- 17200 train 5.453957 (lr=3.2717e-06) (hash(x)=149843860)
521
- 17300 val loss 5.5822
522
- 17300 val perplexity 265.6631
523
- 17300 train 5.640796 (lr=3.2596e-06) (hash(x)=162171979)
524
- 17400 val loss 5.5809
525
- 17400 val perplexity 265.3040
526
- 17400 train 5.549406 (lr=3.2524e-06) (hash(x)=148400702)
527
- 17499 val loss 5.5807
528
- 17499 val perplexity 265.2500
 
1
  max_steps: 17500
2
  0 val loss 11.2663
3
  0 val perplexity 78147.0000
4
+ 0 train 11.263341 (lr=1.3750e-07) (hash(x)=150327452)
5
+ 100 val loss 9.9216
6
+ 100 val perplexity 20365.0898
7
+ 100 train 9.932128 (lr=1.3888e-05) (hash(x)=166441190)
8
+ 200 val loss 9.2026
9
+ 200 val perplexity 9923.1172
10
+ 200 train 9.311575 (lr=2.7500e-05) (hash(x)=166780046)
11
+ 300 val loss 8.1964
12
+ 300 val perplexity 3627.8376
13
+ 300 train 8.155242 (lr=2.7498e-05) (hash(x)=159835303)
14
+ 400 val loss 7.7685
15
+ 400 val perplexity 2365.0269
16
+ 400 train 7.570842 (lr=2.7492e-05) (hash(x)=155040610)
17
+ 500 val loss 7.6098
18
+ 500 val perplexity 2017.9415
19
+ 500 train 7.360526 (lr=2.7482e-05) (hash(x)=130190460)
20
+ 600 val loss 7.5112
21
+ 600 val perplexity 1828.4420
22
+ 600 train 7.535985 (lr=2.7467e-05) (hash(x)=155504036)
23
+ 700 val loss 7.4475
24
+ 700 val perplexity 1715.5283
25
+ 700 train 7.301879 (lr=2.7449e-05) (hash(x)=137347213)
26
+ 800 val loss 7.3965
27
+ 800 val perplexity 1630.2454
28
+ 800 train 7.251807 (lr=2.7427e-05) (hash(x)=143823248)
29
+ 900 val loss 7.3470
30
+ 900 val perplexity 1551.5825
31
+ 900 train 7.458832 (lr=2.7400e-05) (hash(x)=156260416)
32
+ 1000 val loss 7.3139
33
+ 1000 val perplexity 1501.0842
34
+ 1000 train 7.281650 (lr=2.7370e-05) (hash(x)=143734685)
35
+ 1100 val loss 7.2764
36
+ 1100 val perplexity 1445.7637
37
+ 1100 train 7.209399 (lr=2.7335e-05) (hash(x)=160013925)
38
+ 1200 val loss 7.2480
39
+ 1200 val perplexity 1405.2816
40
+ 1200 train 6.993395 (lr=2.7297e-05) (hash(x)=150678249)
41
+ 1300 val loss 7.2195
42
+ 1300 val perplexity 1365.8458
43
+ 1300 train 7.003422 (lr=2.7254e-05) (hash(x)=149073315)
44
+ 1400 val loss 7.1645
45
+ 1400 val perplexity 1292.6741
46
+ 1400 train 7.483765 (lr=2.7207e-05) (hash(x)=175802021)
47
+ 1500 val loss 7.1143
48
+ 1500 val perplexity 1229.3901
49
+ 1500 train 7.375745 (lr=2.7157e-05) (hash(x)=171034639)
50
+ 1600 val loss 7.0674
51
+ 1600 val perplexity 1173.0409
52
+ 1600 train 7.270476 (lr=2.7102e-05) (hash(x)=158681215)
53
+ 1700 val loss 7.0231
54
+ 1700 val perplexity 1122.2725
55
+ 1700 train 6.961975 (lr=2.7044e-05) (hash(x)=152116061)
56
+ 1800 val loss 6.9929
57
+ 1800 val perplexity 1088.8434
58
+ 1800 train 6.930839 (lr=2.6981e-05) (hash(x)=146108145)
59
+ 1900 val loss 6.9646
60
+ 1900 val perplexity 1058.4460
61
+ 1900 train 6.793094 (lr=2.6915e-05) (hash(x)=147598108)
62
+ 2000 val loss 6.9345
63
+ 2000 val perplexity 1027.1322
64
+ 2000 train 6.798426 (lr=2.6845e-05) (hash(x)=154996086)
65
+ 2100 val loss 6.9084
66
+ 2100 val perplexity 1000.6855
67
+ 2100 train 6.694521 (lr=2.6771e-05) (hash(x)=153396183)
68
+ 2200 val loss 6.8577
69
+ 2200 val perplexity 951.1731
70
+ 2200 train 6.844943 (lr=2.6693e-05) (hash(x)=153885445)
71
+ 2300 val loss 6.8186
72
+ 2300 val perplexity 914.6971
73
+ 2300 train 6.820184 (lr=2.6611e-05) (hash(x)=159666385)
74
+ 2400 val loss 6.7737
75
+ 2400 val perplexity 874.5115
76
+ 2400 train 6.748491 (lr=2.6525e-05) (hash(x)=142353087)
77
+ 2500 val loss 6.7371
78
+ 2500 val perplexity 843.0906
79
+ 2500 train 6.756777 (lr=2.6436e-05) (hash(x)=146491718)
80
+ 2600 val loss 6.7059
81
+ 2600 val perplexity 817.2048
82
+ 2600 train 6.631540 (lr=2.6343e-05) (hash(x)=150750353)
83
+ 2700 val loss 6.6686
84
+ 2700 val perplexity 787.2690
85
+ 2700 train 6.380807 (lr=2.6246e-05) (hash(x)=129849193)
86
+ 2800 val loss 6.6495
87
+ 2800 val perplexity 772.4222
88
+ 2800 train 6.494568 (lr=2.6146e-05) (hash(x)=152767913)
89
+ 2900 val loss 6.6275
90
+ 2900 val perplexity 755.5663
91
+ 2900 train 6.406610 (lr=2.6042e-05) (hash(x)=146531140)
92
+ 3000 val loss 6.5894
93
+ 3000 val perplexity 727.3140
94
+ 3000 train 6.665761 (lr=2.5934e-05) (hash(x)=151562048)
95
+ 3100 val loss 6.5494
96
+ 3100 val perplexity 698.8493
97
+ 3100 train 6.516375 (lr=2.5823e-05) (hash(x)=146001424)
98
+ 3200 val loss 6.5272
99
+ 3200 val perplexity 683.4663
100
+ 3200 train 6.600415 (lr=2.5709e-05) (hash(x)=166486165)
101
+ 3300 val loss 6.4946
102
+ 3300 val perplexity 661.5607
103
+ 3300 train 6.426333 (lr=2.5590e-05) (hash(x)=150866680)
104
+ 3400 val loss 6.4801
105
+ 3400 val perplexity 652.0275
106
+ 3400 train 6.374853 (lr=2.5469e-05) (hash(x)=143900419)
107
+ 3500 val loss 6.4553
108
+ 3500 val perplexity 636.0541
109
+ 3500 train 6.270348 (lr=2.5344e-05) (hash(x)=148845794)
110
+ 3600 val loss 6.4393
111
+ 3600 val perplexity 625.9676
112
+ 3600 train 6.269843 (lr=2.5215e-05) (hash(x)=145667796)
113
+ 3700 val loss 6.4257
114
+ 3700 val perplexity 617.5016
115
+ 3700 train 6.442654 (lr=2.5083e-05) (hash(x)=163563851)
116
+ 3800 val loss 6.4055
117
+ 3800 val perplexity 605.1692
118
+ 3800 train 6.348926 (lr=2.4948e-05) (hash(x)=147488689)
119
+ 3900 val loss 6.3750
120
+ 3900 val perplexity 586.9639
121
+ 3900 train 6.376982 (lr=2.4810e-05) (hash(x)=148186608)
122
+ 4000 val loss 6.3525
123
+ 4000 val perplexity 573.9432
124
+ 4000 train 6.228961 (lr=2.4669e-05) (hash(x)=142970187)
125
+ 4100 val loss 6.3316
126
+ 4100 val perplexity 562.0504
127
+ 4100 train 6.424266 (lr=2.4524e-05) (hash(x)=141584883)
128
+ 4200 val loss 6.3206
129
+ 4200 val perplexity 555.9155
130
+ 4200 train 6.121674 (lr=2.4376e-05) (hash(x)=145664585)
131
+ 4300 val loss 6.3036
132
+ 4300 val perplexity 546.5199
133
+ 4300 train 6.176545 (lr=2.4226e-05) (hash(x)=143736499)
134
+ 4400 val loss 6.3040
135
+ 4400 val perplexity 546.7621
136
+ 4400 train 6.126653 (lr=2.4072e-05) (hash(x)=151883322)
137
+ 4500 val loss 6.2887
138
+ 4500 val perplexity 538.4496
139
+ 4500 train 6.172879 (lr=2.3915e-05) (hash(x)=153904871)
140
+ 4600 val loss 6.2713
141
+ 4600 val perplexity 529.1572
142
+ 4600 train 6.360380 (lr=2.3755e-05) (hash(x)=154893521)
143
+ 4700 val loss 6.2472
144
+ 4700 val perplexity 516.5841
145
+ 4700 train 6.304053 (lr=2.3593e-05) (hash(x)=152323949)
146
+ 4800 val loss 6.2306
147
+ 4800 val perplexity 508.0774
148
+ 4800 train 6.176684 (lr=2.3428e-05) (hash(x)=154104619)
149
+ 4900 val loss 6.2180
150
+ 4900 val perplexity 501.6885
151
+ 4900 train 6.347137 (lr=2.3260e-05) (hash(x)=146311426)
152
+ 5000 val loss 6.2067
153
+ 5000 val perplexity 496.0761
154
+ 5000 train 6.195480 (lr=2.3089e-05) (hash(x)=156741847)
155
+ 5100 val loss 6.1953
156
+ 5100 val perplexity 490.4566
157
+ 5100 train 5.973955 (lr=2.2916e-05) (hash(x)=142086346)
158
+ 5200 val loss 6.1901
159
+ 5200 val perplexity 487.8952
160
+ 5200 train 5.958094 (lr=2.2740e-05) (hash(x)=150265428)
161
+ 5300 val loss 6.1848
162
+ 5300 val perplexity 485.3176
163
+ 5300 train 6.061728 (lr=2.2561e-05) (hash(x)=151339108)
164
+ 5400 val loss 6.1701
165
+ 5400 val perplexity 478.2155
166
+ 5400 train 6.146971 (lr=2.2381e-05) (hash(x)=154654372)
167
+ 5500 val loss 6.1531
168
+ 5500 val perplexity 470.1668
169
+ 5500 train 6.165415 (lr=2.2197e-05) (hash(x)=150575051)
170
+ 5600 val loss 6.1412
171
+ 5600 val perplexity 464.6232
172
+ 5600 train 6.048434 (lr=2.2012e-05) (hash(x)=140396423)
173
+ 5700 val loss 6.1312
174
+ 5700 val perplexity 459.9658
175
+ 5700 train 5.991282 (lr=2.1824e-05) (hash(x)=144678758)
176
+ 5800 val loss 6.1224
177
+ 5800 val perplexity 455.9356
178
+ 5800 train 6.170418 (lr=2.1634e-05) (hash(x)=151992743)
179
+ 5900 val loss 6.1131
180
+ 5900 val perplexity 451.7320
181
+ 5900 train 5.902652 (lr=2.1442e-05) (hash(x)=144396927)
182
+ 6000 val loss 6.1034
183
+ 6000 val perplexity 447.3857
184
+ 6000 train 6.065875 (lr=2.1248e-05) (hash(x)=165478625)
185
+ 6100 val loss 6.1096
186
+ 6100 val perplexity 450.1805
187
+ 6100 train 5.843530 (lr=2.1051e-05) (hash(x)=147088621)
188
+ 6200 val loss 6.0995
189
+ 6200 val perplexity 445.6127
190
+ 6200 train 5.866304 (lr=2.0853e-05) (hash(x)=140794994)
191
+ 6300 val loss 6.0785
192
+ 6300 val perplexity 436.3955
193
+ 6300 train 6.008928 (lr=2.0653e-05) (hash(x)=134780906)
194
+ 6400 val loss 6.0650
195
+ 6400 val perplexity 430.5202
196
+ 6400 train 6.043757 (lr=2.0451e-05) (hash(x)=149023655)
197
+ 6500 val loss 6.0570
198
+ 6500 val perplexity 427.0772
199
+ 6500 train 5.909537 (lr=2.0247e-05) (hash(x)=147497796)
200
+ 6600 val loss 6.0540
201
+ 6600 val perplexity 425.8057
202
+ 6600 train 5.906900 (lr=2.0042e-05) (hash(x)=152902689)
203
+ 6700 val loss 6.0523
204
+ 6700 val perplexity 425.0714
205
+ 6700 train 6.086189 (lr=1.9835e-05) (hash(x)=153846046)
206
+ 6800 val loss 6.0303
207
+ 6800 val perplexity 415.8329
208
+ 6800 train 6.160307 (lr=1.9626e-05) (hash(x)=158512738)
209
+ 6900 val loss 6.0207
210
+ 6900 val perplexity 411.8505
211
+ 6900 train 6.544151 (lr=1.9416e-05) (hash(x)=156849968)
212
+ 7000 val loss 6.0165
213
+ 7000 val perplexity 410.1386
214
+ 7000 train 5.866353 (lr=1.9205e-05) (hash(x)=142395855)
215
+ 7100 val loss 6.0088
216
+ 7100 val perplexity 406.9989
217
+ 7100 train 5.857893 (lr=1.8992e-05) (hash(x)=147114884)
218
+ 7200 val loss 5.9996
219
+ 7200 val perplexity 403.2617
220
+ 7200 train 6.032767 (lr=1.8778e-05) (hash(x)=156979839)
221
+ 7300 val loss 5.9959
222
+ 7300 val perplexity 401.7586
223
+ 7300 train 5.781147 (lr=1.8562e-05) (hash(x)=145584373)
224
+ 7400 val loss 5.9900
225
+ 7400 val perplexity 399.4259
226
+ 7400 train 5.729474 (lr=1.8346e-05) (hash(x)=141508204)
227
+ 7500 val loss 5.9780
228
+ 7500 val perplexity 394.6485
229
+ 7500 train 6.012234 (lr=1.8128e-05) (hash(x)=148803965)
230
+ 7600 val loss 5.9718
231
+ 7600 val perplexity 392.1917
232
+ 7600 train 6.031247 (lr=1.7910e-05) (hash(x)=151019676)
233
+ 7700 val loss 5.9586
234
+ 7700 val perplexity 387.0653
235
+ 7700 train 6.031113 (lr=1.7691e-05) (hash(x)=143155750)
236
+ 7800 val loss 5.9556
237
+ 7800 val perplexity 385.9111
238
+ 7800 train 5.981885 (lr=1.7470e-05) (hash(x)=152569653)
239
+ 7900 val loss 5.9519
240
+ 7900 val perplexity 384.4711
241
+ 7900 train 5.823013 (lr=1.7249e-05) (hash(x)=143519455)
242
+ 8000 val loss 5.9416
243
+ 8000 val perplexity 380.5505
244
+ 8000 train 6.052700 (lr=1.7028e-05) (hash(x)=161180944)
245
+ 8100 val loss 5.9420
246
+ 8100 val perplexity 380.7064
247
+ 8100 train 5.966490 (lr=1.6805e-05) (hash(x)=154107345)
248
+ 8200 val loss 5.9371
249
+ 8200 val perplexity 378.8401
250
+ 8200 train 5.968087 (lr=1.6582e-05) (hash(x)=152486517)
251
+ 8300 val loss 5.9261
252
+ 8300 val perplexity 374.6855
253
+ 8300 train 5.935761 (lr=1.6359e-05) (hash(x)=156167749)
254
+ 8400 val loss 5.9156
255
+ 8400 val perplexity 370.7589
256
+ 8400 train 6.000555 (lr=1.6135e-05) (hash(x)=149155006)
257
+ 8500 val loss 5.9067
258
+ 8500 val perplexity 367.4887
259
+ 8500 train 5.864130 (lr=1.5911e-05) (hash(x)=147844390)
260
+ 8600 val loss 5.9047
261
+ 8600 val perplexity 366.7408
262
+ 8600 train 6.157965 (lr=1.5687e-05) (hash(x)=165753320)
263
+ 8700 val loss 5.8990
264
+ 8700 val perplexity 364.6836
265
+ 8700 train 5.683146 (lr=1.5462e-05) (hash(x)=146079979)
266
+ 8800 val loss 5.8990
267
+ 8800 val perplexity 364.6555
268
+ 8800 train 6.090808 (lr=1.5237e-05) (hash(x)=172259509)
269
+ 8900 val loss 5.8907
270
+ 8900 val perplexity 361.6673
271
+ 8900 train 5.573002 (lr=1.5013e-05) (hash(x)=145148314)
272
+ 9000 val loss 5.8871
273
+ 9000 val perplexity 360.3432
274
+ 9000 train 5.803849 (lr=1.4788e-05) (hash(x)=144250633)
275
+ 9100 val loss 5.8804
276
+ 9100 val perplexity 357.9615
277
+ 9100 train 5.972807 (lr=1.4563e-05) (hash(x)=157219797)
278
+ 9200 val loss 5.8735
279
+ 9200 val perplexity 355.4825
280
+ 9200 train 5.910276 (lr=1.4339e-05) (hash(x)=142743778)
281
+ 9300 val loss 5.8653
282
+ 9300 val perplexity 352.5787
283
+ 9300 train 5.783849 (lr=1.4115e-05) (hash(x)=139669771)
284
+ 9400 val loss 5.8574
285
+ 9400 val perplexity 349.8001
286
+ 9400 train 5.884781 (lr=1.3891e-05) (hash(x)=145916843)
287
+ 9500 val loss 5.8574
288
+ 9500 val perplexity 349.8114
289
+ 9500 train 5.776641 (lr=1.3668e-05) (hash(x)=150196125)
290
+ 9600 val loss 5.8502
291
+ 9600 val perplexity 347.2911
292
+ 9600 train 6.161810 (lr=1.3445e-05) (hash(x)=160041419)
293
+ 9700 val loss 5.8489
294
+ 9700 val perplexity 346.8675
295
+ 9700 train 5.629546 (lr=1.3222e-05) (hash(x)=139931627)
296
+ 9800 val loss 5.8436
297
+ 9800 val perplexity 345.0097
298
+ 9800 train 5.823668 (lr=1.3001e-05) (hash(x)=150370792)
299
+ 9900 val loss 5.8368
300
+ 9900 val perplexity 342.6939
301
+ 9900 train 5.680959 (lr=1.2780e-05) (hash(x)=153014886)
302
+ 10000 val loss 5.8341
303
+ 10000 val perplexity 341.7490
304
+ 10000 train 5.737649 (lr=1.2559e-05) (hash(x)=141915265)
305
+ 10100 val loss 5.8270
306
+ 10100 val perplexity 339.3311
307
+ 10100 train 6.341434 (lr=1.2340e-05) (hash(x)=197770952)
308
+ 10200 val loss 5.8213
309
+ 10200 val perplexity 337.4204
310
+ 10200 train 5.808439 (lr=1.2122e-05) (hash(x)=156806005)
311
+ 10300 val loss 5.8179
312
+ 10300 val perplexity 336.2575
313
+ 10300 train 5.622517 (lr=1.1904e-05) (hash(x)=145378216)
314
+ 10400 val loss 5.8126
315
+ 10400 val perplexity 334.4817
316
+ 10400 train 5.716724 (lr=1.1688e-05) (hash(x)=145125407)
317
+ 10500 val loss 5.8088
318
+ 10500 val perplexity 333.2034
319
+ 10500 train 5.622625 (lr=1.1472e-05) (hash(x)=147553745)
320
+ 10600 val loss 5.8047
321
+ 10600 val perplexity 331.8625
322
+ 10600 train 5.440615 (lr=1.1258e-05) (hash(x)=134894889)
323
+ 10700 val loss 5.7991
324
+ 10700 val perplexity 330.0065
325
+ 10700 train 5.726994 (lr=1.1045e-05) (hash(x)=151041040)
326
+ 10800 val loss 5.7921
327
+ 10800 val perplexity 327.6916
328
+ 10800 train 5.724377 (lr=1.0834e-05) (hash(x)=145685829)
329
+ 10900 val loss 5.7874
330
+ 10900 val perplexity 326.1582
331
+ 10900 train 5.860260 (lr=1.0624e-05) (hash(x)=156000716)
332
+ 11000 val loss 5.7849
333
+ 11000 val perplexity 325.3531
334
+ 11000 train 5.782057 (lr=1.0415e-05) (hash(x)=149858163)
335
+ 11100 val loss 5.7831
336
+ 11100 val perplexity 324.7552
337
+ 11100 train 6.055070 (lr=1.0208e-05) (hash(x)=164873575)
338
+ 11200 val loss 5.7819
339
+ 11200 val perplexity 324.3619
340
+ 11200 train 5.665148 (lr=1.0003e-05) (hash(x)=156370069)
341
+ 11300 val loss 5.7809
342
+ 11300 val perplexity 324.0505
343
+ 11300 train 5.885826 (lr=9.7991e-06) (hash(x)=160356892)
344
+ 11400 val loss 5.7694
345
+ 11400 val perplexity 320.3412
346
+ 11400 train 5.853624 (lr=9.5972e-06) (hash(x)=158955430)
347
+ 11500 val loss 5.7655
348
+ 11500 val perplexity 319.0882
349
+ 11500 train 5.735012 (lr=9.3970e-06) (hash(x)=146598377)
350
+ 11600 val loss 5.7783
351
+ 11600 val perplexity 323.2089
352
+ 11600 train 5.920930 (lr=9.1988e-06) (hash(x)=156045795)
353
+ 11700 val loss 5.7633
354
+ 11700 val perplexity 318.4037
355
+ 11700 train 5.620872 (lr=9.0025e-06) (hash(x)=143963334)
356
+ 11800 val loss 5.7613
357
+ 11800 val perplexity 317.7613
358
+ 11800 train 5.593094 (lr=8.8082e-06) (hash(x)=145831579)
359
+ 11900 val loss 5.7564
360
+ 11900 val perplexity 316.1924
361
+ 11900 train 5.932192 (lr=8.6160e-06) (hash(x)=165154141)
362
+ 12000 val loss 5.7496
363
+ 12000 val perplexity 314.0803
364
+ 12000 train 5.828736 (lr=8.4260e-06) (hash(x)=160373794)
365
+ 12100 val loss 5.7464
366
+ 12100 val perplexity 313.0729
367
+ 12100 train 5.533817 (lr=8.2381e-06) (hash(x)=141476346)
368
+ 12200 val loss 5.7444
369
+ 12200 val perplexity 312.4352
370
+ 12200 train 6.004211 (lr=8.0526e-06) (hash(x)=164508058)
371
+ 12300 val loss 5.7431
372
+ 12300 val perplexity 312.0411
373
+ 12300 train 5.710019 (lr=7.8694e-06) (hash(x)=140407664)
374
+ 12400 val loss 5.7408
375
+ 12400 val perplexity 311.3231
376
+ 12400 train 5.591258 (lr=7.6885e-06) (hash(x)=149526189)
377
+ 12500 val loss 5.7348
378
+ 12500 val perplexity 309.4465
379
+ 12500 train 5.577487 (lr=7.5101e-06) (hash(x)=142060916)
380
+ 12600 val loss 5.7295
381
+ 12600 val perplexity 307.8142
382
+ 12600 train 5.919009 (lr=7.3342e-06) (hash(x)=168650848)
383
+ 12700 val loss 5.7286
384
+ 12700 val perplexity 307.5334
385
+ 12700 train 5.749731 (lr=7.1609e-06) (hash(x)=154353018)
386
+ 12800 val loss 5.7300
387
+ 12800 val perplexity 307.9663
388
+ 12800 train 5.888818 (lr=6.9903e-06) (hash(x)=156115265)
389
+ 12900 val loss 5.7250
390
+ 12900 val perplexity 306.4193
391
+ 12900 train 5.652087 (lr=6.8223e-06) (hash(x)=143378175)
392
+ 13000 val loss 5.7236
393
+ 13000 val perplexity 306.0145
394
+ 13000 train 5.839179 (lr=6.6570e-06) (hash(x)=166124864)
395
+ 13100 val loss 5.7219
396
+ 13100 val perplexity 305.4771
397
+ 13100 train 5.596782 (lr=6.4945e-06) (hash(x)=146615385)
398
+ 13200 val loss 5.7215
399
+ 13200 val perplexity 305.3489
400
+ 13200 train 5.621416 (lr=6.3349e-06) (hash(x)=149236047)
401
+ 13300 val loss 5.7149
402
+ 13300 val perplexity 303.3439
403
+ 13300 train 5.648214 (lr=6.1782e-06) (hash(x)=151346972)
404
+ 13400 val loss 5.7142
405
+ 13400 val perplexity 303.1342
406
+ 13400 train 5.801619 (lr=6.0244e-06) (hash(x)=159167093)
407
+ 13500 val loss 5.7126
408
+ 13500 val perplexity 302.6487
409
+ 13500 train 5.428577 (lr=5.8737e-06) (hash(x)=135054650)
410
+ 13600 val loss 5.7108
411
+ 13600 val perplexity 302.1104
412
+ 13600 train 5.596169 (lr=5.7259e-06) (hash(x)=151033927)
413
+ 13700 val loss 5.7104
414
+ 13700 val perplexity 301.9891
415
+ 13700 train 5.409321 (lr=5.5813e-06) (hash(x)=141119172)
416
+ 13800 val loss 5.7096
417
+ 13800 val perplexity 301.7523
418
+ 13800 train 5.430826 (lr=5.4398e-06) (hash(x)=144197766)
419
+ 13900 val loss 5.7053
420
+ 13900 val perplexity 300.4471
421
+ 13900 train 5.645763 (lr=5.3016e-06) (hash(x)=145148158)
422
+ 14000 val loss 5.7019
423
+ 14000 val perplexity 299.4242
424
+ 14000 train 6.197217 (lr=5.1665e-06) (hash(x)=179068751)
425
+ 14100 val loss 5.7002
426
+ 14100 val perplexity 298.9149
427
+ 14100 train 5.569189 (lr=5.0348e-06) (hash(x)=144988373)
428
+ 14200 val loss 5.6993
429
+ 14200 val perplexity 298.6475
430
+ 14200 train 5.623942 (lr=4.9063e-06) (hash(x)=133379696)
431
+ 14300 val loss 5.6992
432
+ 14300 val perplexity 298.6255
433
+ 14300 train 5.580496 (lr=4.7813e-06) (hash(x)=149883422)
434
+ 14400 val loss 5.6996
435
+ 14400 val perplexity 298.7478
436
+ 14400 train 5.567074 (lr=4.6596e-06) (hash(x)=145709198)
437
+ 14500 val loss 5.6944
438
+ 14500 val perplexity 297.2122
439
+ 14500 train 5.709787 (lr=4.5414e-06) (hash(x)=148016579)
440
+ 14600 val loss 5.6922
441
+ 14600 val perplexity 296.5331
442
+ 14600 train 5.658023 (lr=4.4267e-06) (hash(x)=150218222)
443
+ 14700 val loss 5.6919
444
+ 14700 val perplexity 296.4617
445
+ 14700 train 5.611262 (lr=4.3155e-06) (hash(x)=142258737)
446
+ 14800 val loss 5.6890
447
+ 14800 val perplexity 295.5974
448
+ 14800 train 5.584694 (lr=4.2079e-06) (hash(x)=147628003)
449
+ 14900 val loss 5.6895
450
+ 14900 val perplexity 295.7564
451
+ 14900 train 5.539468 (lr=4.1039e-06) (hash(x)=149144036)
452
+ 15000 val loss 5.6894
453
+ 15000 val perplexity 295.7050
454
+ 15000 train 5.623379 (lr=4.0035e-06) (hash(x)=145925409)
455
+ 15100 val loss 5.6857
456
+ 15100 val perplexity 294.6349
457
+ 15100 train 5.563715 (lr=3.9068e-06) (hash(x)=144555751)
458
+ 15200 val loss 5.6844
459
+ 15200 val perplexity 294.2293
460
+ 15200 train 5.501987 (lr=3.8138e-06) (hash(x)=143448852)
461
+ 15300 val loss 5.6836
462
+ 15300 val perplexity 294.0114
463
+ 15300 train 5.680522 (lr=3.7245e-06) (hash(x)=156347253)
464
+ 15400 val loss 5.6814
465
+ 15400 val perplexity 293.3521
466
+ 15400 train 5.635643 (lr=3.6390e-06) (hash(x)=153010179)
467
+ 15500 val loss 5.6814
468
+ 15500 val perplexity 293.3618
469
+ 15500 train 5.463892 (lr=3.5572e-06) (hash(x)=144066445)
470
+ 15600 val loss 5.6817
471
+ 15600 val perplexity 293.4398
472
+ 15600 train 5.423588 (lr=3.4793e-06) (hash(x)=146107722)
473
+ 15700 val loss 5.6776
474
+ 15700 val perplexity 292.2488
475
+ 15700 train 5.816041 (lr=3.4052e-06) (hash(x)=152533799)
476
+ 15800 val loss 5.6749
477
+ 15800 val perplexity 291.4473
478
+ 15800 train 5.726212 (lr=3.3350e-06) (hash(x)=151756366)
479
+ 15900 val loss 5.6743
480
+ 15900 val perplexity 291.2946
481
+ 15900 train 5.659422 (lr=3.2687e-06) (hash(x)=151735039)
482
+ 16000 val loss 5.6746
483
+ 16000 val perplexity 291.3792
484
+ 16000 train 5.703759 (lr=3.2063e-06) (hash(x)=154633226)
485
+ 16100 val loss 5.6751
486
+ 16100 val perplexity 291.5109
487
+ 16100 train 5.528335 (lr=3.1478e-06) (hash(x)=158094333)
488
+ 16200 val loss 5.6740
489
+ 16200 val perplexity 291.1947
490
+ 16200 train 5.437234 (lr=3.0932e-06) (hash(x)=142772927)
491
+ 16300 val loss 5.6733
492
+ 16300 val perplexity 290.9790
493
+ 16300 train 5.568473 (lr=3.0427e-06) (hash(x)=148042896)
494
+ 16400 val loss 5.6704
495
+ 16400 val perplexity 290.1549
496
+ 16400 train 6.154361 (lr=2.9961e-06) (hash(x)=170306399)
497
+ 16500 val loss 5.6695
498
+ 16500 val perplexity 289.8988
499
+ 16500 train 5.688489 (lr=2.9535e-06) (hash(x)=141049320)
500
+ 16600 val loss 5.6693
501
+ 16600 val perplexity 289.8406
502
+ 16600 train 5.527473 (lr=2.9149e-06) (hash(x)=150512136)
503
+ 16700 val loss 5.6678
504
+ 16700 val perplexity 289.3889
505
+ 16700 train 5.678548 (lr=2.8804e-06) (hash(x)=151843645)
506
+ 16800 val loss 5.6655
507
+ 16800 val perplexity 288.7390
508
+ 16800 train 5.724266 (lr=2.8498e-06) (hash(x)=140073659)
509
+ 16900 val loss 5.6635
510
+ 16900 val perplexity 288.1412
511
+ 16900 train 5.852492 (lr=2.8234e-06) (hash(x)=171157212)
512
+ 17000 val loss 5.6630
513
+ 17000 val perplexity 288.0170
514
+ 17000 train 5.594303 (lr=2.8010e-06) (hash(x)=144553276)
515
+ 17100 val loss 5.6631
516
+ 17100 val perplexity 288.0265
517
+ 17100 train 5.660722 (lr=2.7826e-06) (hash(x)=157717565)
518
+ 17200 val loss 5.6633
519
+ 17200 val perplexity 288.0857
520
+ 17200 train 5.528824 (lr=2.7684e-06) (hash(x)=149843860)
521
+ 17300 val loss 5.6609
522
+ 17300 val perplexity 287.3978
523
+ 17300 train 5.721745 (lr=2.7582e-06) (hash(x)=162171979)
524
+ 17400 val loss 5.6599
525
+ 17400 val perplexity 287.1299
526
+ 17400 train 5.633310 (lr=2.7520e-06) (hash(x)=148400702)
527
+ 17499 val loss 5.6588
528
+ 17499 val perplexity 286.7997
attention_kindselective_n_heads4_seed1338/model_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:369ca0e325a307ae0fe4b31859c5e3039654368ff28c0b4fed2d96d8e4d73b93
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0c36683ee57463cfd86e7922a106b4b11abb68ae6f544a48c5187333df99ac6
3
  size 92843394
attention_kindselective_n_heads4_seed1338/optimizer_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b139874be23990c8467336f94877c955b85aec61bb9887d4c0ff395e2fd58926
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:749581d48e62690bb18401ec32aa78d78b9cf7705a7d783397a5bbdd00e78b06
3
  size 179406214