andrew-healey commited on
Commit
03ec7c4
·
verified ·
1 Parent(s): 7493125

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1345/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1345", "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": 8750, "warmup_steps": 500, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1345, "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": 61440, "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_61440_4_1345", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1345", "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": 8750, "warmup_steps": 500, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1345, "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": 61440, "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": 6e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "6e-5_61440_4_1345", "n_embd": 256}
attention_kindselective_n_heads4_seed1345/log2.txt CHANGED
@@ -1,533 +1,267 @@
1
  max_steps: 8750
2
  0 val loss 11.2669
3
  0 val perplexity 78187.7734
4
- 0 val loss 11.2669
5
- 0 val perplexity 78187.7734
6
- 0 train 11.258430 (lr=8.0000e-08) (hash(x)=134751525)
7
- 0 train 11.258430 (lr=1.0000e-07) (hash(x)=134751525)
8
- 100 val loss 10.1048
9
- 100 val perplexity 24460.9590
10
- 100 train 10.127542 (lr=8.0800e-06) (hash(x)=150358957)
11
- 100 val loss 10.0231
12
- 100 val perplexity 22540.2520
13
- 100 train 10.047743 (lr=1.0100e-05) (hash(x)=150358957)
14
- 200 val loss 9.5683
15
- 200 val perplexity 14303.5908
16
- 200 train 9.594391 (lr=1.6080e-05) (hash(x)=126319983)
17
- 200 val loss 9.3888
18
- 200 val perplexity 11953.4688
19
- 200 train 9.405663 (lr=2.0100e-05) (hash(x)=126319983)
20
- 300 val loss 8.5065
21
- 300 val perplexity 4946.5840
22
- 300 train 8.438013 (lr=2.4080e-05) (hash(x)=159305874)
23
- 300 val loss 8.1438
24
- 300 val perplexity 3441.8569
25
- 300 train 8.080306 (lr=3.0100e-05) (hash(x)=159305874)
26
- 400 val loss 7.7059
27
- 400 val perplexity 2221.3674
28
- 400 train 7.694429 (lr=3.2080e-05) (hash(x)=149855631)
29
- 400 val loss 7.5543
30
- 400 val perplexity 1909.0006
31
- 400 train 7.531188 (lr=4.0100e-05) (hash(x)=149855631)
32
- 500 val loss 7.4746
33
- 500 val perplexity 1762.6592
34
- 500 train 7.505083 (lr=4.0000e-05) (hash(x)=150706760)
35
- 500 val loss 7.3794
36
- 500 val perplexity 1602.6191
37
- 500 train 7.408833 (lr=5.0000e-05) (hash(x)=150706760)
38
- 600 val loss 7.3726
39
- 600 val perplexity 1591.7163
40
- 600 train 7.307174 (lr=3.9987e-05) (hash(x)=146858163)
41
- 600 val loss 7.2431
42
- 600 val perplexity 1398.3760
43
- 600 train 7.172870 (lr=4.9984e-05) (hash(x)=146858163)
44
- 700 val loss 7.2818
45
- 700 val perplexity 1453.6379
46
- 700 train 7.155026 (lr=3.9948e-05) (hash(x)=144262072)
47
- 700 val loss 7.1254
48
- 700 val perplexity 1243.1661
49
- 700 train 6.993992 (lr=4.9935e-05) (hash(x)=144262072)
50
- 800 val loss 7.1949
51
- 800 val perplexity 1332.6610
52
- 800 train 7.168702 (lr=3.9883e-05) (hash(x)=135443880)
53
- 800 val loss 7.0023
54
- 800 val perplexity 1099.1837
55
- 800 train 6.974597 (lr=4.9853e-05) (hash(x)=135443880)
56
- 900 val loss 7.1091
57
- 900 val perplexity 1222.9949
58
- 900 train 7.050885 (lr=3.9792e-05) (hash(x)=153147388)
59
- 900 val loss 6.8980
60
- 900 val perplexity 990.2542
61
- 900 train 6.843626 (lr=4.9739e-05) (hash(x)=153147388)
62
- 1000 val loss 7.0470
63
- 1000 val perplexity 1149.3538
64
- 1000 train 6.974381 (lr=3.9675e-05) (hash(x)=151448445)
65
- 1000 val loss 6.8099
66
- 1000 val perplexity 906.8176
67
- 1000 train 6.733419 (lr=4.9593e-05) (hash(x)=151448445)
68
- 1100 val loss 6.9672
69
- 1100 val perplexity 1061.2783
70
- 1100 train 6.973591 (lr=3.9532e-05) (hash(x)=153161010)
71
- 1100 val loss 6.7060
72
- 1100 val perplexity 817.2753
73
- 1100 train 6.728254 (lr=4.9415e-05) (hash(x)=153161010)
74
- 1200 val loss 6.8929
75
- 1200 val perplexity 985.2737
76
- 1200 train 6.717103 (lr=3.9364e-05) (hash(x)=143227423)
77
- 1200 val loss 6.6174
78
- 1200 val perplexity 748.0264
79
- 1200 train 6.445128 (lr=4.9205e-05) (hash(x)=143227423)
80
- 1300 val loss 6.8303
81
- 1300 val perplexity 925.4383
82
- 1300 train 7.318541 (lr=3.9171e-05) (hash(x)=176373796)
83
- 1300 val loss 6.5548
84
- 1300 val perplexity 702.6147
85
- 1300 train 7.003553 (lr=4.8964e-05) (hash(x)=176373796)
86
- 1400 val loss 6.7688
87
- 1400 val perplexity 870.2381
88
- 1400 train 6.693253 (lr=3.8953e-05) (hash(x)=155989503)
89
- 1400 val loss 6.4960
90
- 1400 val perplexity 662.5030
91
- 1400 train 6.429008 (lr=4.8691e-05) (hash(x)=155989503)
92
- 1500 val loss 6.6972
93
- 1500 val perplexity 810.0951
94
- 1500 train 6.671696 (lr=3.8711e-05) (hash(x)=156507542)
95
- 1500 val loss 6.4365
96
- 1500 val perplexity 624.1983
97
- 1500 train 6.412195 (lr=4.8388e-05) (hash(x)=156507542)
98
- 1600 val loss 6.6402
99
- 1600 val perplexity 765.2156
100
- 1600 train 6.649072 (lr=3.8444e-05) (hash(x)=156078901)
101
- 1600 val loss 6.3925
102
- 1600 val perplexity 597.3754
103
- 1600 train 6.381972 (lr=4.8055e-05) (hash(x)=156078901)
104
- 1700 val loss 6.5829
105
- 1700 val perplexity 722.6072
106
- 1700 train 6.486052 (lr=3.8153e-05) (hash(x)=156889457)
107
- 1700 val loss 6.3520
108
- 1700 val perplexity 573.6584
109
- 1700 train 6.256339 (lr=4.7691e-05) (hash(x)=156889457)
110
- 1800 val loss 6.5346
111
- 1800 val perplexity 688.5756
112
- 1800 train 6.774926 (lr=3.7839e-05) (hash(x)=162477906)
113
- 1800 val loss 6.3242
114
- 1800 val perplexity 557.9255
115
- 1800 train 6.584904 (lr=4.7299e-05) (hash(x)=162477906)
116
- 1900 val loss 6.4822
117
- 1900 val perplexity 653.4048
118
- 1900 train 6.524128 (lr=3.7502e-05) (hash(x)=158648033)
119
- 1900 val loss 6.2800
120
- 1900 val perplexity 533.7811
121
- 1900 train 6.317149 (lr=4.6878e-05) (hash(x)=158648033)
122
- 2000 val loss 6.4540
123
- 2000 val perplexity 635.2576
124
- 2000 train 6.377429 (lr=3.7143e-05) (hash(x)=156732586)
125
- 2000 val loss 6.2506
126
- 2000 val perplexity 518.3123
127
- 2000 train 6.174955 (lr=4.6428e-05) (hash(x)=156732586)
128
- 2100 val loss 6.4112
129
- 2100 val perplexity 608.6367
130
- 2100 train 6.429165 (lr=3.6761e-05) (hash(x)=159721084)
131
- 2100 val loss 6.2153
132
- 2100 val perplexity 500.3592
133
- 2100 train 6.225609 (lr=4.5951e-05) (hash(x)=159721084)
134
- 2200 val loss 6.3710
135
- 2200 val perplexity 584.6622
136
- 2200 train 6.346819 (lr=3.6358e-05) (hash(x)=144907001)
137
- 2200 val loss 6.1789
138
- 2200 val perplexity 482.4542
139
- 2200 train 6.165885 (lr=4.5448e-05) (hash(x)=144907001)
140
- 2300 val loss 6.3493
141
- 2300 val perplexity 572.0708
142
- 2300 train 6.289486 (lr=3.5935e-05) (hash(x)=154541837)
143
- 2300 val loss 6.1619
144
- 2300 val perplexity 474.3160
145
- 2300 train 6.103507 (lr=4.4918e-05) (hash(x)=154541837)
146
- 2400 val loss 6.3174
147
- 2400 val perplexity 554.1542
148
- 2400 train 6.411627 (lr=3.5491e-05) (hash(x)=161706790)
149
- 2400 val loss 6.1369
150
- 2400 val perplexity 462.5943
151
- 2400 train 6.238992 (lr=4.4363e-05) (hash(x)=161706790)
152
- 2500 val loss 6.2840
153
- 2500 val perplexity 535.9188
154
- 2500 train 6.210105 (lr=3.5027e-05) (hash(x)=143556162)
155
- 2500 val loss 6.1030
156
- 2500 val perplexity 447.1863
157
- 2500 train 6.026715 (lr=4.3784e-05) (hash(x)=143556162)
158
- 2600 val loss 6.2586
159
- 2600 val perplexity 522.4983
160
- 2600 train 6.108171 (lr=3.4545e-05) (hash(x)=142425078)
161
- 2600 val loss 6.0869
162
- 2600 val perplexity 440.0374
163
- 2600 train 5.936298 (lr=4.3181e-05) (hash(x)=142425078)
164
- 2700 val loss 6.2373
165
- 2700 val perplexity 511.4839
166
- 2700 train 6.257928 (lr=3.4044e-05) (hash(x)=163195606)
167
- 2700 val loss 6.0633
168
- 2700 val perplexity 429.8103
169
- 2700 train 6.086275 (lr=4.2555e-05) (hash(x)=163195606)
170
- 2800 val loss 6.2056
171
- 2800 val perplexity 495.5253
172
- 2800 train 6.111760 (lr=3.3526e-05) (hash(x)=154078337)
173
- 2800 val loss 6.0311
174
- 2800 val perplexity 416.1743
175
- 2800 train 5.942109 (lr=4.1908e-05) (hash(x)=154078337)
176
- 2900 val loss 6.1913
177
- 2900 val perplexity 488.5019
178
- 2900 train 6.053054 (lr=3.2992e-05) (hash(x)=145186687)
179
- 2900 val loss 6.0149
180
- 2900 val perplexity 409.4986
181
- 2900 train 5.887829 (lr=4.1240e-05) (hash(x)=145186687)
182
- 3000 val loss 6.1616
183
- 3000 val perplexity 474.1754
184
- 3000 train 6.120342 (lr=3.2441e-05) (hash(x)=149726716)
185
- 3000 val loss 5.9870
186
- 3000 val perplexity 398.2309
187
- 3000 train 5.952100 (lr=4.0551e-05) (hash(x)=149726716)
188
- 3100 val loss 6.1420
189
- 3100 val perplexity 465.0009
190
- 3100 train 6.068071 (lr=3.1875e-05) (hash(x)=151122509)
191
- 3100 val loss 5.9691
192
- 3100 val perplexity 391.1497
193
- 3100 train 5.889432 (lr=3.9844e-05) (hash(x)=151122509)
194
- 3200 val loss 6.1261
195
- 3200 val perplexity 457.6258
196
- 3200 train 6.096629 (lr=3.1295e-05) (hash(x)=152172187)
197
- 3200 val loss 5.9580
198
- 3200 val perplexity 386.8179
199
- 3200 train 5.925971 (lr=3.9119e-05) (hash(x)=152172187)
200
- 3300 val loss 6.1072
201
- 3300 val perplexity 449.0725
202
- 3300 train 6.041915 (lr=3.0702e-05) (hash(x)=150581974)
203
- 3300 val loss 5.9352
204
- 3300 val perplexity 378.1105
205
- 3300 train 5.872858 (lr=3.8377e-05) (hash(x)=150581974)
206
- 3400 val loss 6.0943
207
- 3400 val perplexity 443.3019
208
- 3400 train 6.023142 (lr=3.0095e-05) (hash(x)=160061666)
209
- 3400 val loss 5.9239
210
- 3400 val perplexity 373.8839
211
- 3400 train 5.847596 (lr=3.7619e-05) (hash(x)=160061666)
212
- 3500 val loss 6.0703
213
- 3500 val perplexity 432.8308
214
- 3500 train 6.021031 (lr=2.9477e-05) (hash(x)=150556913)
215
- 3500 val loss 5.8993
216
- 3500 val perplexity 364.7906
217
- 3500 train 5.848571 (lr=3.6847e-05) (hash(x)=150556913)
218
- 3600 val loss 6.0600
219
- 3600 val perplexity 428.3789
220
- 3600 train 5.965510 (lr=2.8849e-05) (hash(x)=148311961)
221
- 3600 val loss 5.8786
222
- 3600 val perplexity 357.2937
223
- 3600 train 5.785236 (lr=3.6061e-05) (hash(x)=148311961)
224
- 3700 val loss 6.0418
225
- 3700 val perplexity 420.6604
226
- 3700 train 5.936149 (lr=2.8210e-05) (hash(x)=150305284)
227
- 3700 val loss 5.8685
228
- 3700 val perplexity 353.7125
229
- 3700 train 5.754406 (lr=3.5263e-05) (hash(x)=150305284)
230
- 3800 val loss 6.0221
231
- 3800 val perplexity 412.4275
232
- 3800 train 6.032154 (lr=2.7562e-05) (hash(x)=148428531)
233
- 3800 val loss 5.8474
234
- 3800 val perplexity 346.3270
235
- 3800 train 5.850537 (lr=3.4453e-05) (hash(x)=148428531)
236
- 3900 val loss 6.0072
237
- 3900 val perplexity 406.3344
238
- 3900 train 5.885365 (lr=2.6907e-05) (hash(x)=142448374)
239
- 3900 val loss 5.8296
240
- 3900 val perplexity 340.2376
241
- 3900 train 5.704201 (lr=3.3633e-05) (hash(x)=142448374)
242
- 4000 val loss 5.9996
243
- 4000 val perplexity 403.2542
244
- 4000 train 5.928854 (lr=2.6244e-05) (hash(x)=158002288)
245
- 4000 val loss 5.8199
246
- 4000 val perplexity 336.9466
247
- 4000 train 5.747924 (lr=3.2805e-05) (hash(x)=158002288)
248
- 4100 val loss 5.9774
249
- 4100 val perplexity 394.4323
250
- 4100 train 5.919015 (lr=2.5575e-05) (hash(x)=151388626)
251
- 4100 val loss 5.7989
252
- 4100 val perplexity 329.9272
253
- 4100 train 5.736006 (lr=3.1968e-05) (hash(x)=151388626)
254
- 4200 val loss 5.9657
255
- 4200 val perplexity 389.8166
256
- 4200 train 5.885614 (lr=2.4900e-05) (hash(x)=145123294)
257
- 4200 val loss 5.7855
258
- 4200 val perplexity 325.5608
259
- 4200 train 5.711619 (lr=3.1126e-05) (hash(x)=145123294)
260
- 4300 val loss 5.9532
261
- 4300 val perplexity 384.9809
262
- 4300 train 5.826245 (lr=2.4222e-05) (hash(x)=145869150)
263
- 4300 val loss 5.7755
264
- 4300 val perplexity 322.3113
265
- 4300 train 5.656160 (lr=3.0277e-05) (hash(x)=145869150)
266
- 4400 val loss 5.9471
267
- 4400 val perplexity 382.6427
268
- 4400 train 5.974758 (lr=2.3540e-05) (hash(x)=146923320)
269
- 4400 val loss 5.7648
270
- 4400 val perplexity 318.8671
271
- 4400 train 5.801609 (lr=2.9425e-05) (hash(x)=146923320)
272
- 4500 val loss 5.9267
273
- 4500 val perplexity 374.9101
274
- 4500 train 5.747364 (lr=2.2856e-05) (hash(x)=146720819)
275
- 4500 val loss 5.7480
276
- 4500 val perplexity 313.5577
277
- 4500 train 5.575530 (lr=2.8571e-05) (hash(x)=146720819)
278
- 4600 val loss 5.9185
279
- 4600 val perplexity 371.8680
280
- 4600 train 5.661109 (lr=2.2171e-05) (hash(x)=140342909)
281
- 4600 val loss 5.7397
282
- 4600 val perplexity 310.9650
283
- 4600 train 5.495009 (lr=2.7714e-05) (hash(x)=140342909)
284
- 4700 val loss 5.9109
285
- 4700 val perplexity 369.0468
286
- 4700 train 6.058608 (lr=2.1486e-05) (hash(x)=163866463)
287
- 4700 val loss 5.7257
288
- 4700 val perplexity 306.6404
289
- 4700 train 5.864868 (lr=2.6857e-05) (hash(x)=163866463)
290
- 4800 val loss 5.8930
291
- 4800 val perplexity 362.4748
292
- 4800 train 5.589387 (lr=2.0801e-05) (hash(x)=133459145)
293
- 4800 val loss 5.7127
294
- 4800 val perplexity 302.6829
295
- 4800 train 5.398318 (lr=2.6002e-05) (hash(x)=133459145)
296
- 4900 val loss 5.8848
297
- 4900 val perplexity 359.5341
298
- 4900 train 5.686441 (lr=2.0118e-05) (hash(x)=143144356)
299
- 4900 val loss 5.7034
300
- 4900 val perplexity 299.8943
301
- 4900 train 5.506179 (lr=2.5148e-05) (hash(x)=143144356)
302
- 5000 val loss 5.9014
303
- 5000 val perplexity 365.5357
304
- 5000 train 5.793544 (lr=1.9438e-05) (hash(x)=132636494)
305
- 5000 val loss 5.7167
306
- 5000 val perplexity 303.8913
307
- 5000 train 5.627277 (lr=2.4298e-05) (hash(x)=132636494)
308
- 5100 val loss 5.8627
309
- 5100 val perplexity 351.6631
310
- 5100 train 5.787260 (lr=1.8762e-05) (hash(x)=157278728)
311
- 5100 val loss 5.6822
312
- 5100 val perplexity 293.6040
313
- 5100 train 5.602773 (lr=2.3452e-05) (hash(x)=157278728)
314
- 5200 val loss 5.8544
315
- 5200 val perplexity 348.7502
316
- 5200 train 5.707648 (lr=1.8090e-05) (hash(x)=148198434)
317
- 5200 val loss 5.6738
318
- 5200 val perplexity 291.1431
319
- 5200 train 5.524666 (lr=2.2613e-05) (hash(x)=148198434)
320
- 5300 val loss 5.8439
321
- 5300 val perplexity 345.1328
322
- 5300 train 5.773888 (lr=1.7424e-05) (hash(x)=138380906)
323
- 5300 val loss 5.6625
324
- 5300 val perplexity 287.8815
325
- 5300 train 5.588348 (lr=2.1780e-05) (hash(x)=138380906)
326
- 5400 val loss 5.8330
327
- 5400 val perplexity 341.3846
328
- 5400 train 5.928821 (lr=1.6765e-05) (hash(x)=163441464)
329
- 5400 val loss 5.6512
330
- 5400 val perplexity 284.6234
331
- 5400 train 5.733276 (lr=2.0956e-05) (hash(x)=163441464)
332
  5500 val loss 5.8272
333
- 5500 val perplexity 339.3984
334
- 5500 train 5.776112 (lr=1.6113e-05) (hash(x)=154347714)
335
- 5500 val loss 5.6481
336
- 5500 val perplexity 283.7407
337
- 5500 train 5.582100 (lr=2.0141e-05) (hash(x)=154347714)
338
- 5600 val loss 5.8178
339
- 5600 val perplexity 336.2433
340
- 5600 train 5.856583 (lr=1.5469e-05) (hash(x)=148449981)
341
- 5600 val loss 5.6360
342
- 5600 val perplexity 280.3305
343
- 5600 train 5.680454 (lr=1.9337e-05) (hash(x)=148449981)
344
- 5700 val loss 5.8072
345
- 5700 val perplexity 332.6860
346
- 5700 train 5.697080 (lr=1.4836e-05) (hash(x)=139300274)
347
- 5700 val loss 5.6259
348
- 5700 val perplexity 277.5210
349
- 5700 train 5.518164 (lr=1.8545e-05) (hash(x)=139300274)
350
- 5800 val loss 5.8016
351
- 5800 val perplexity 330.8387
352
- 5800 train 5.794398 (lr=1.4212e-05) (hash(x)=154857144)
353
- 5800 val loss 5.6236
354
- 5800 val perplexity 276.8877
355
- 5800 train 5.618228 (lr=1.7765e-05) (hash(x)=154857144)
356
- 5900 val loss 5.7934
357
- 5900 val perplexity 328.1333
358
- 5900 train 5.859982 (lr=1.3600e-05) (hash(x)=151756013)
359
- 5900 val loss 5.6159
360
- 5900 val perplexity 274.7690
361
- 5900 train 5.677189 (lr=1.7000e-05) (hash(x)=151756013)
362
- 6000 val loss 5.7904
363
- 6000 val perplexity 327.1291
364
- 6000 train 5.691472 (lr=1.3000e-05) (hash(x)=145414657)
365
- 6000 val loss 5.6072
366
- 6000 val perplexity 272.3825
367
- 6000 train 5.513993 (lr=1.6250e-05) (hash(x)=145414657)
368
- 6100 val loss 5.7825
369
- 6100 val perplexity 324.5720
370
- 6100 train 5.605465 (lr=1.2413e-05) (hash(x)=139501217)
371
- 6100 val loss 5.6022
372
- 6100 val perplexity 271.0273
373
- 6100 train 5.420915 (lr=1.5516e-05) (hash(x)=139501217)
374
- 6200 val loss 5.7733
375
- 6200 val perplexity 321.6091
376
- 6200 train 5.814078 (lr=1.1840e-05) (hash(x)=155783358)
377
- 6200 val loss 5.5946
378
- 6200 val perplexity 268.9805
379
- 6200 train 5.631000 (lr=1.4800e-05) (hash(x)=155783358)
380
- 6300 val loss 5.7674
381
- 6300 val perplexity 319.6986
382
- 6300 train 5.833146 (lr=1.1282e-05) (hash(x)=157033091)
383
- 6300 val loss 5.5866
384
- 6300 val perplexity 266.8292
385
- 6300 train 5.654327 (lr=1.4102e-05) (hash(x)=157033091)
386
- 6400 val loss 5.7638
387
- 6400 val perplexity 318.5564
388
- 6400 train 5.564855 (lr=1.0739e-05) (hash(x)=144475330)
389
- 6400 val loss 5.5839
390
- 6400 val perplexity 266.1018
391
- 6400 train 5.383296 (lr=1.3424e-05) (hash(x)=144475330)
392
- 6500 val loss 5.7558
393
- 6500 val perplexity 316.0177
394
- 6500 train 5.806682 (lr=1.0213e-05) (hash(x)=124041822)
395
- 6500 val loss 5.5759
396
- 6500 val perplexity 263.9772
397
- 6500 train 5.622413 (lr=1.2766e-05) (hash(x)=124041822)
398
- 6600 val loss 5.7531
399
- 6600 val perplexity 315.1798
400
- 6600 train 5.685970 (lr=9.7032e-06) (hash(x)=142131981)
401
- 6600 val loss 5.5739
402
- 6600 val perplexity 263.4679
403
- 6600 train 5.510099 (lr=1.2129e-05) (hash(x)=142131981)
404
- 6700 val loss 5.7443
405
- 6700 val perplexity 312.4091
406
- 6700 train 5.842805 (lr=9.2116e-06) (hash(x)=154916248)
407
- 6700 val loss 5.5630
408
- 6700 val perplexity 260.6121
409
- 6700 train 5.672098 (lr=1.1515e-05) (hash(x)=154916248)
410
- 6800 val loss 5.7442
411
- 6800 val perplexity 312.3599
412
- 6800 train 5.740576 (lr=8.7387e-06) (hash(x)=147996387)
413
- 6800 val loss 5.5651
414
- 6800 val perplexity 261.1384
415
- 6800 train 5.563013 (lr=1.0923e-05) (hash(x)=147996387)
416
- 6900 val loss 5.7386
417
- 6900 val perplexity 310.6446
418
- 6900 train 5.776214 (lr=8.2849e-06) (hash(x)=153422428)
419
- 6900 val loss 5.5579
420
- 6900 val perplexity 259.2890
421
- 6900 train 5.582366 (lr=1.0356e-05) (hash(x)=153422428)
422
- 7000 val loss 5.7312
423
- 7000 val perplexity 308.3365
424
- 7000 train 5.751740 (lr=7.8510e-06) (hash(x)=174135078)
425
- 7000 val loss 5.5507
426
- 7000 val perplexity 257.4088
427
- 7000 train 5.575917 (lr=9.8138e-06) (hash(x)=174135078)
428
- 7100 val loss 5.7284
429
- 7100 val perplexity 307.4814
430
- 7100 train 5.801340 (lr=7.4377e-06) (hash(x)=160382475)
431
- 7100 val loss 5.5490
432
- 7100 val perplexity 256.9679
433
- 7100 train 5.626064 (lr=9.2971e-06) (hash(x)=160382475)
434
- 7200 val loss 5.7261
435
- 7200 val perplexity 306.7845
436
- 7200 train 5.817417 (lr=7.0455e-06) (hash(x)=155310085)
437
- 7200 val loss 5.5455
438
- 7200 val perplexity 256.0913
439
- 7200 train 5.644667 (lr=8.8068e-06) (hash(x)=155310085)
440
- 7300 val loss 5.7205
441
- 7300 val perplexity 305.0573
442
- 7300 train 5.856584 (lr=6.6749e-06) (hash(x)=159329031)
443
- 7300 val loss 5.5398
444
- 7300 val perplexity 254.6357
445
- 7300 train 5.675587 (lr=8.3436e-06) (hash(x)=159329031)
446
- 7400 val loss 5.7178
447
- 7400 val perplexity 304.2255
448
- 7400 train 5.658116 (lr=6.3266e-06) (hash(x)=151577269)
449
- 7400 val loss 5.5378
450
- 7400 val perplexity 254.1247
451
- 7400 train 5.481563 (lr=7.9082e-06) (hash(x)=151577269)
452
- 7500 val loss 5.7159
453
- 7500 val perplexity 303.6710
454
- 7500 train 5.764712 (lr=6.0010e-06) (hash(x)=160620287)
455
- 7500 val loss 5.5361
456
- 7500 val perplexity 253.6919
457
- 7500 train 5.596354 (lr=7.5012e-06) (hash(x)=160620287)
458
- 7600 val loss 5.7108
459
- 7600 val perplexity 302.1122
460
- 7600 train 5.597404 (lr=5.6986e-06) (hash(x)=143711597)
461
- 7600 val loss 5.5301
462
- 7600 val perplexity 252.1762
463
- 7600 train 5.417143 (lr=7.1232e-06) (hash(x)=143711597)
464
- 7700 val loss 5.7093
465
- 7700 val perplexity 301.6568
466
- 7700 train 5.714295 (lr=5.4198e-06) (hash(x)=149243577)
467
- 7700 val loss 5.5294
468
- 7700 val perplexity 251.9845
469
- 7700 train 5.518233 (lr=6.7747e-06) (hash(x)=149243577)
470
- 7800 val loss 5.7086
471
- 7800 val perplexity 301.4565
472
- 7800 train 5.695864 (lr=5.1650e-06) (hash(x)=147677247)
473
- 7800 val loss 5.5276
474
- 7800 val perplexity 251.5379
475
- 7800 train 5.511157 (lr=6.4563e-06) (hash(x)=147677247)
476
- 7900 val loss 5.7003
477
- 7900 val perplexity 298.9606
478
- 7900 train 5.654427 (lr=4.9347e-06) (hash(x)=145801236)
479
- 7900 val loss 5.5207
480
- 7900 val perplexity 249.8004
481
- 7900 train 5.467436 (lr=6.1684e-06) (hash(x)=145801236)
482
- 8000 val loss 5.7006
483
- 8000 val perplexity 299.0564
484
- 8000 train 5.812949 (lr=4.7291e-06) (hash(x)=158007655)
485
- 8000 val loss 5.5199
486
- 8000 val perplexity 249.6133
487
- 8000 train 5.639585 (lr=5.9114e-06) (hash(x)=158007655)
488
- 8100 val loss 5.6989
489
- 8100 val perplexity 298.5511
490
- 8100 train 5.762550 (lr=4.5486e-06) (hash(x)=158030048)
491
- 8100 val loss 5.5189
492
- 8100 val perplexity 249.3497
493
- 8100 train 5.581952 (lr=5.6857e-06) (hash(x)=158030048)
494
- 8200 val loss 5.6953
495
- 8200 val perplexity 297.4649
496
- 8200 train 5.538460 (lr=4.3933e-06) (hash(x)=150674725)
497
- 8200 val loss 5.5148
498
- 8200 val perplexity 248.3339
499
- 8200 train 5.359712 (lr=5.4917e-06) (hash(x)=150674725)
500
- 8300 val loss 5.6944
501
- 8300 val perplexity 297.2130
502
- 8300 train 5.608293 (lr=4.2636e-06) (hash(x)=150805711)
503
- 8300 val loss 5.5138
504
- 8300 val perplexity 248.0881
505
- 8300 train 5.418227 (lr=5.3295e-06) (hash(x)=150805711)
506
- 8400 val loss 5.6895
507
- 8400 val perplexity 295.7561
508
- 8400 train 5.560624 (lr=4.1596e-06) (hash(x)=138396210)
509
- 8400 val loss 5.5093
510
- 8400 val perplexity 246.9719
511
- 8400 train 5.380278 (lr=5.1995e-06) (hash(x)=138396210)
512
- 8500 val loss 5.6898
513
- 8500 val perplexity 295.8447
514
- 8500 train 5.565089 (lr=4.0815e-06) (hash(x)=156172740)
515
- 8500 val loss 5.5093
516
- 8500 val perplexity 246.9775
517
- 8500 train 5.386551 (lr=5.1019e-06) (hash(x)=156172740)
518
- 8600 val loss 5.6870
519
- 8600 val perplexity 295.0010
520
- 8600 train 5.733992 (lr=4.0294e-06) (hash(x)=154911352)
521
- 8600 val loss 5.5065
522
- 8600 val perplexity 246.2987
523
- 8600 train 5.535190 (lr=5.0367e-06) (hash(x)=154911352)
524
- 8700 val loss 5.6839
525
- 8700 val perplexity 294.1030
526
- 8700 train 5.744620 (lr=4.0033e-06) (hash(x)=153446789)
527
- 8749 val loss 5.6830
528
- 8749 val perplexity 293.8351
529
- 8700 val loss 5.5038
530
- 8700 val perplexity 245.6131
531
- 8700 train 5.561337 (lr=5.0041e-06) (hash(x)=153446789)
532
- 8749 val loss 5.5027
533
- 8749 val perplexity 245.3448
 
1
  max_steps: 8750
2
  0 val loss 11.2669
3
  0 val perplexity 78187.7734
4
+ 0 train 11.258430 (lr=1.2000e-07) (hash(x)=134751525)
5
+ 100 val loss 9.9839
6
+ 100 val perplexity 21675.4258
7
+ 100 train 10.008630 (lr=1.2120e-05) (hash(x)=150358957)
8
+ 200 val loss 9.1733
9
+ 200 val perplexity 9635.9756
10
+ 200 train 9.176708 (lr=2.4120e-05) (hash(x)=126319983)
11
+ 300 val loss 7.9611
12
+ 300 val perplexity 2867.2952
13
+ 300 train 7.902992 (lr=3.6120e-05) (hash(x)=159305874)
14
+ 400 val loss 7.5449
15
+ 400 val perplexity 1891.1628
16
+ 400 train 7.521968 (lr=4.8120e-05) (hash(x)=149855631)
17
+ 500 val loss 7.3894
18
+ 500 val perplexity 1618.7214
19
+ 500 train 7.420051 (lr=6.0000e-05) (hash(x)=150706760)
20
+ 600 val loss 7.2891
21
+ 600 val perplexity 1464.2700
22
+ 600 train 7.219808 (lr=5.9980e-05) (hash(x)=146858163)
23
+ 700 val loss 7.2209
24
+ 700 val perplexity 1367.7762
25
+ 700 train 7.094349 (lr=5.9922e-05) (hash(x)=144262072)
26
+ 800 val loss 7.1403
27
+ 800 val perplexity 1261.8079
28
+ 800 train 7.109925 (lr=5.9824e-05) (hash(x)=135443880)
29
+ 900 val loss 7.0661
30
+ 900 val perplexity 1171.6042
31
+ 900 train 7.008464 (lr=5.9687e-05) (hash(x)=153147388)
32
+ 1000 val loss 7.0039
33
+ 1000 val perplexity 1100.8654
34
+ 1000 train 6.929332 (lr=5.9512e-05) (hash(x)=151448445)
35
+ 1100 val loss 6.9303
36
+ 1100 val perplexity 1022.8132
37
+ 1100 train 6.935490 (lr=5.9298e-05) (hash(x)=153161010)
38
+ 1200 val loss 6.8744
39
+ 1200 val perplexity 967.1544
40
+ 1200 train 6.700087 (lr=5.9046e-05) (hash(x)=143227423)
41
+ 1300 val loss 6.8295
42
+ 1300 val perplexity 924.6844
43
+ 1300 train 7.299239 (lr=5.8757e-05) (hash(x)=176373796)
44
+ 1400 val loss 6.7762
45
+ 1400 val perplexity 876.6993
46
+ 1400 train 6.702026 (lr=5.8430e-05) (hash(x)=155989503)
47
+ 1500 val loss 6.7162
48
+ 1500 val perplexity 825.6920
49
+ 1500 train 6.698337 (lr=5.8066e-05) (hash(x)=156507542)
50
+ 1600 val loss 6.6620
51
+ 1600 val perplexity 782.1313
52
+ 1600 train 6.663013 (lr=5.7666e-05) (hash(x)=156078901)
53
+ 1700 val loss 6.6072
54
+ 1700 val perplexity 740.3943
55
+ 1700 train 6.513906 (lr=5.7230e-05) (hash(x)=156889457)
56
+ 1800 val loss 6.5688
57
+ 1800 val perplexity 712.5136
58
+ 1800 train 6.808304 (lr=5.6759e-05) (hash(x)=162477906)
59
+ 1900 val loss 6.5196
60
+ 1900 val perplexity 678.3251
61
+ 1900 train 6.565875 (lr=5.6253e-05) (hash(x)=158648033)
62
+ 2000 val loss 6.4788
63
+ 2000 val perplexity 651.1573
64
+ 2000 train 6.401828 (lr=5.5714e-05) (hash(x)=156732586)
65
+ 2100 val loss 6.4433
66
+ 2100 val perplexity 628.4625
67
+ 2100 train 6.465071 (lr=5.5142e-05) (hash(x)=159721084)
68
+ 2200 val loss 6.3954
69
+ 2200 val perplexity 599.0789
70
+ 2200 train 6.372261 (lr=5.4537e-05) (hash(x)=144907001)
71
+ 2300 val loss 6.3756
72
+ 2300 val perplexity 587.3514
73
+ 2300 train 6.315606 (lr=5.3902e-05) (hash(x)=154541837)
74
+ 2400 val loss 6.3586
75
+ 2400 val perplexity 577.4647
76
+ 2400 train 6.445983 (lr=5.3236e-05) (hash(x)=161706790)
77
+ 2500 val loss 6.3219
78
+ 2500 val perplexity 556.6255
79
+ 2500 train 6.244786 (lr=5.2541e-05) (hash(x)=143556162)
80
+ 2600 val loss 6.2845
81
+ 2600 val perplexity 536.1711
82
+ 2600 train 6.136559 (lr=5.1817e-05) (hash(x)=142425078)
83
+ 2700 val loss 6.2612
84
+ 2700 val perplexity 523.8307
85
+ 2700 train 6.278818 (lr=5.1067e-05) (hash(x)=163195606)
86
+ 2800 val loss 6.2290
87
+ 2800 val perplexity 507.2432
88
+ 2800 train 6.131935 (lr=5.0290e-05) (hash(x)=154078337)
89
+ 2900 val loss 6.2198
90
+ 2900 val perplexity 502.5972
91
+ 2900 train 6.084310 (lr=4.9487e-05) (hash(x)=145186687)
92
+ 3000 val loss 6.1924
93
+ 3000 val perplexity 489.0109
94
+ 3000 train 6.149713 (lr=4.8662e-05) (hash(x)=149726716)
95
+ 3100 val loss 6.1746
96
+ 3100 val perplexity 480.3961
97
+ 3100 train 6.102753 (lr=4.7813e-05) (hash(x)=151122509)
98
+ 3200 val loss 6.1655
99
+ 3200 val perplexity 476.0258
100
+ 3200 train 6.135470 (lr=4.6943e-05) (hash(x)=152172187)
101
+ 3300 val loss 6.1460
102
+ 3300 val perplexity 466.8445
103
+ 3300 train 6.080579 (lr=4.6052e-05) (hash(x)=150581974)
104
+ 3400 val loss 6.1241
105
+ 3400 val perplexity 456.7542
106
+ 3400 train 6.051082 (lr=4.5143e-05) (hash(x)=160061666)
107
+ 3500 val loss 6.1072
108
+ 3500 val perplexity 449.0678
109
+ 3500 train 6.054682 (lr=4.4216e-05) (hash(x)=150556913)
110
+ 3600 val loss 6.0908
111
+ 3600 val perplexity 441.7588
112
+ 3600 train 5.995741 (lr=4.3273e-05) (hash(x)=148311961)
113
+ 3700 val loss 6.0760
114
+ 3700 val perplexity 435.2701
115
+ 3700 train 5.968667 (lr=4.2315e-05) (hash(x)=150305284)
116
+ 3800 val loss 6.0523
117
+ 3800 val perplexity 425.0813
118
+ 3800 train 6.064778 (lr=4.1343e-05) (hash(x)=148428531)
119
+ 3900 val loss 6.0355
120
+ 3900 val perplexity 418.0211
121
+ 3900 train 5.900431 (lr=4.0360e-05) (hash(x)=142448374)
122
+ 4000 val loss 6.0270
123
+ 4000 val perplexity 414.4525
124
+ 4000 train 5.948363 (lr=3.9365e-05) (hash(x)=158002288)
125
+ 4100 val loss 6.0058
126
+ 4100 val perplexity 405.7936
127
+ 4100 train 5.948852 (lr=3.8362e-05) (hash(x)=151388626)
128
+ 4200 val loss 5.9921
129
+ 4200 val perplexity 400.2397
130
+ 4200 train 5.912879 (lr=3.7351e-05) (hash(x)=145123294)
131
+ 4300 val loss 5.9760
132
+ 4300 val perplexity 393.8557
133
+ 4300 train 5.848454 (lr=3.6333e-05) (hash(x)=145869150)
134
+ 4400 val loss 5.9646
135
+ 4400 val perplexity 389.3833
136
+ 4400 train 5.987700 (lr=3.5311e-05) (hash(x)=146923320)
137
+ 4500 val loss 5.9459
138
+ 4500 val perplexity 382.1999
139
+ 4500 train 5.768764 (lr=3.4285e-05) (hash(x)=146720819)
140
+ 4600 val loss 5.9323
141
+ 4600 val perplexity 377.0094
142
+ 4600 train 5.676044 (lr=3.3257e-05) (hash(x)=140342909)
143
+ 4700 val loss 5.9234
144
+ 4700 val perplexity 373.6711
145
+ 4700 train 6.046507 (lr=3.2229e-05) (hash(x)=163866463)
146
+ 4800 val loss 5.9108
147
+ 4800 val perplexity 369.0188
148
+ 4800 train 5.595890 (lr=3.1202e-05) (hash(x)=133459145)
149
+ 4900 val loss 5.8975
150
+ 4900 val perplexity 364.1420
151
+ 4900 train 5.693576 (lr=3.0178e-05) (hash(x)=143144356)
152
+ 5000 val loss 5.9056
153
+ 5000 val perplexity 367.0866
154
+ 5000 train 5.802285 (lr=2.9157e-05) (hash(x)=132636494)
155
+ 5100 val loss 5.8668
156
+ 5100 val perplexity 353.1207
157
+ 5100 train 5.786910 (lr=2.8143e-05) (hash(x)=157278728)
158
+ 5200 val loss 5.8582
159
+ 5200 val perplexity 350.0958
160
+ 5200 train 5.717509 (lr=2.7135e-05) (hash(x)=148198434)
161
+ 5300 val loss 5.8443
162
+ 5300 val perplexity 345.2503
163
+ 5300 train 5.772146 (lr=2.6136e-05) (hash(x)=138380906)
164
+ 5400 val loss 5.8313
165
+ 5400 val perplexity 340.8168
166
+ 5400 train 5.920127 (lr=2.5147e-05) (hash(x)=163441464)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
167
  5500 val loss 5.8272
168
+ 5500 val perplexity 339.4170
169
+ 5500 train 5.771481 (lr=2.4169e-05) (hash(x)=154347714)
170
+ 5600 val loss 5.8127
171
+ 5600 val perplexity 334.5254
172
+ 5600 train 5.842416 (lr=2.3204e-05) (hash(x)=148449981)
173
+ 5700 val loss 5.8027
174
+ 5700 val perplexity 331.1774
175
+ 5700 train 5.693919 (lr=2.2253e-05) (hash(x)=139300274)
176
+ 5800 val loss 5.7951
177
+ 5800 val perplexity 328.6917
178
+ 5800 train 5.783244 (lr=2.1318e-05) (hash(x)=154857144)
179
+ 5900 val loss 5.7837
180
+ 5900 val perplexity 324.9723
181
+ 5900 train 5.845992 (lr=2.0400e-05) (hash(x)=151756013)
182
+ 6000 val loss 5.7775
183
+ 6000 val perplexity 322.9481
184
+ 6000 train 5.678282 (lr=1.9500e-05) (hash(x)=145414657)
185
+ 6100 val loss 5.7698
186
+ 6100 val perplexity 320.4596
187
+ 6100 train 5.592708 (lr=1.8620e-05) (hash(x)=139501217)
188
+ 6200 val loss 5.7579
189
+ 6200 val perplexity 316.6911
190
+ 6200 train 5.798489 (lr=1.7760e-05) (hash(x)=155783358)
191
+ 6300 val loss 5.7509
192
+ 6300 val perplexity 314.4768
193
+ 6300 train 5.809797 (lr=1.6923e-05) (hash(x)=157033091)
194
+ 6400 val loss 5.7465
195
+ 6400 val perplexity 313.1020
196
+ 6400 train 5.552113 (lr=1.6108e-05) (hash(x)=144475330)
197
+ 6500 val loss 5.7366
198
+ 6500 val perplexity 310.0059
199
+ 6500 train 5.773449 (lr=1.5319e-05) (hash(x)=124041822)
200
+ 6600 val loss 5.7329
201
+ 6600 val perplexity 308.8680
202
+ 6600 train 5.667017 (lr=1.4555e-05) (hash(x)=142131981)
203
+ 6700 val loss 5.7213
204
+ 6700 val perplexity 305.3057
205
+ 6700 train 5.823481 (lr=1.3817e-05) (hash(x)=154916248)
206
+ 6800 val loss 5.7211
207
+ 6800 val perplexity 305.2263
208
+ 6800 train 5.719387 (lr=1.3108e-05) (hash(x)=147996387)
209
+ 6900 val loss 5.7133
210
+ 6900 val perplexity 302.8786
211
+ 6900 train 5.747306 (lr=1.2427e-05) (hash(x)=153422428)
212
+ 7000 val loss 5.7054
213
+ 7000 val perplexity 300.4824
214
+ 7000 train 5.728880 (lr=1.1777e-05) (hash(x)=174135078)
215
+ 7100 val loss 5.7028
216
+ 7100 val perplexity 299.7173
217
+ 7100 train 5.778639 (lr=1.1157e-05) (hash(x)=160382475)
218
+ 7200 val loss 5.6978
219
+ 7200 val perplexity 298.2030
220
+ 7200 train 5.788217 (lr=1.0568e-05) (hash(x)=155310085)
221
+ 7300 val loss 5.6913
222
+ 7300 val perplexity 296.2772
223
+ 7300 train 5.824478 (lr=1.0012e-05) (hash(x)=159329031)
224
+ 7400 val loss 5.6893
225
+ 7400 val perplexity 295.6850
226
+ 7400 train 5.633309 (lr=9.4899e-06) (hash(x)=151577269)
227
+ 7500 val loss 5.6847
228
+ 7500 val perplexity 294.3328
229
+ 7500 train 5.734163 (lr=9.0014e-06) (hash(x)=160620287)
230
+ 7600 val loss 5.6801
231
+ 7600 val perplexity 292.9817
232
+ 7600 train 5.569936 (lr=8.5478e-06) (hash(x)=143711597)
233
+ 7700 val loss 5.6764
234
+ 7700 val perplexity 291.8844
235
+ 7700 train 5.676998 (lr=8.1297e-06) (hash(x)=149243577)
236
+ 7800 val loss 5.6739
237
+ 7800 val perplexity 291.1786
238
+ 7800 train 5.664146 (lr=7.7476e-06) (hash(x)=147677247)
239
+ 7900 val loss 5.6663
240
+ 7900 val perplexity 288.9625
241
+ 7900 train 5.614513 (lr=7.4021e-06) (hash(x)=145801236)
242
+ 8000 val loss 5.6648
243
+ 8000 val perplexity 288.5190
244
+ 8000 train 5.780615 (lr=7.0937e-06) (hash(x)=158007655)
245
+ 8100 val loss 5.6641
246
+ 8100 val perplexity 288.3269
247
+ 8100 train 5.724568 (lr=6.8229e-06) (hash(x)=158030048)
248
+ 8200 val loss 5.6592
249
+ 8200 val perplexity 286.9110
250
+ 8200 train 5.510582 (lr=6.5900e-06) (hash(x)=150674725)
251
+ 8300 val loss 5.6571
252
+ 8300 val perplexity 286.3263
253
+ 8300 train 5.562442 (lr=6.3954e-06) (hash(x)=150805711)
254
+ 8400 val loss 5.6521
255
+ 8400 val perplexity 284.8779
256
+ 8400 train 5.526485 (lr=6.2395e-06) (hash(x)=138396210)
257
+ 8500 val loss 5.6513
258
+ 8500 val perplexity 284.6625
259
+ 8500 train 5.528487 (lr=6.1223e-06) (hash(x)=156172740)
260
+ 8600 val loss 5.6482
261
+ 8600 val perplexity 283.7753
262
+ 8600 train 5.684916 (lr=6.0440e-06) (hash(x)=154911352)
263
+ 8700 val loss 5.6456
264
+ 8700 val perplexity 283.0405
265
+ 8700 train 5.704347 (lr=6.0049e-06) (hash(x)=153446789)
266
+ 8749 val loss 5.6443
267
+ 8749 val perplexity 282.6697
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
attention_kindselective_n_heads4_seed1345/model_08749.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ad48bc05e89fdde27cf1897a292eb8f37db9dfe2b48d5dc9b6e69452203c1d02
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbe65aa68ce8a1b132bdcc93dd306f10bd3d23a968a6861cbaed251ab68445e7
3
  size 92843394
attention_kindselective_n_heads4_seed1345/optimizer_08749.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1c9592c69aae29e0ee9a228aad3c8ef52bd00de257552edbd6e192b400ceb3f9
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c491b43071fa7701cbaa61eb611374932299ce3707e387499ccfc8d42d33b12
3
  size 179406214