andrew-healey commited on
Commit
70926e2
·
verified ·
1 Parent(s): 476db5b

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1339/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_3/attention_kindselective_n_heads4_seed1339", "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_3", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": 0.00015, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "1.5e-4_30720_4_1339", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_4/attention_kindselective_n_heads4_seed1339", "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": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": 0.00015, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "1.5e-4_30720_4_1339", "n_embd": 256}
attention_kindselective_n_heads4_seed1339/log2.txt CHANGED
@@ -2,302 +2,302 @@ max_steps: 10000
2
  0 val loss 11.2810
3
  0 val perplexity 79298.4922
4
  0 train 11.295413 (lr=7.5000e-07) (hash(x)=150724848)
5
- 100 val loss 8.6250
6
- 100 val perplexity 5569.2051
7
- 100 train 8.675070 (lr=7.5750e-05) (hash(x)=149217061)
8
- 200 val loss 7.5646
9
- 200 val perplexity 1928.7081
10
- 200 train 7.551589 (lr=1.5000e-04) (hash(x)=149910534)
11
- 300 val loss 7.4554
12
- 300 val perplexity 1729.2274
13
- 300 train 7.312988 (lr=1.4997e-04) (hash(x)=142185643)
14
- 400 val loss 7.3929
15
- 400 val perplexity 1624.3813
16
- 400 train 7.405525 (lr=1.4986e-04) (hash(x)=148123706)
17
- 500 val loss 7.3476
18
- 500 val perplexity 1552.4868
19
- 500 train 7.195226 (lr=1.4969e-04) (hash(x)=149952383)
20
- 600 val loss 7.2760
21
- 600 val perplexity 1445.1543
22
- 600 train 7.072387 (lr=1.4945e-04) (hash(x)=146678221)
23
- 700 val loss 7.2279
24
- 700 val perplexity 1377.3153
25
- 700 train 7.264610 (lr=1.4913e-04) (hash(x)=156180736)
26
- 800 val loss 7.2208
27
- 800 val perplexity 1367.6276
28
- 800 train 7.212437 (lr=1.4876e-04) (hash(x)=151700982)
29
- 900 val loss 7.1983
30
- 900 val perplexity 1337.2192
31
- 900 train 6.981043 (lr=1.4831e-04) (hash(x)=147288467)
32
- 1000 val loss 7.2724
33
- 1000 val perplexity 1440.0166
34
- 1000 train 7.326461 (lr=1.4779e-04) (hash(x)=156182087)
35
- 1100 val loss 7.2104
36
- 1100 val perplexity 1353.4854
37
- 1100 train 7.078388 (lr=1.4721e-04) (hash(x)=147861550)
38
- 1200 val loss 7.2043
39
- 1200 val perplexity 1345.2571
40
- 1200 train 7.095018 (lr=1.4656e-04) (hash(x)=149318660)
41
- 1300 val loss 7.1332
42
- 1300 val perplexity 1252.8716
43
- 1300 train 6.962538 (lr=1.4585e-04) (hash(x)=151631103)
44
- 1400 val loss 7.0923
45
- 1400 val perplexity 1202.7006
46
- 1400 train 7.109515 (lr=1.4507e-04) (hash(x)=150482428)
47
- 1500 val loss 7.0494
48
- 1500 val perplexity 1152.1907
49
- 1500 train 6.899590 (lr=1.4422e-04) (hash(x)=144458617)
50
- 1600 val loss 7.0726
51
- 1600 val perplexity 1179.2318
52
- 1600 train 6.963625 (lr=1.4332e-04) (hash(x)=143268605)
53
- 1700 val loss 7.0272
54
- 1700 val perplexity 1126.8760
55
- 1700 train 6.971726 (lr=1.4235e-04) (hash(x)=150817011)
56
- 1800 val loss 7.0082
57
- 1800 val perplexity 1105.6932
58
- 1800 train 6.986873 (lr=1.4131e-04) (hash(x)=152322423)
59
- 1900 val loss 6.9633
60
- 1900 val perplexity 1057.0878
61
- 1900 train 6.767703 (lr=1.4022e-04) (hash(x)=143574126)
62
- 2000 val loss 6.9497
63
- 2000 val perplexity 1042.8232
64
- 2000 train 6.723602 (lr=1.3907e-04) (hash(x)=147904298)
65
- 2100 val loss 6.9780
66
- 2100 val perplexity 1072.7555
67
- 2100 train 6.723686 (lr=1.3786e-04) (hash(x)=144719400)
68
- 2200 val loss 6.9285
69
- 2200 val perplexity 1020.9377
70
- 2200 train 7.179186 (lr=1.3660e-04) (hash(x)=154343147)
71
- 2300 val loss 6.8777
72
- 2300 val perplexity 970.3969
73
- 2300 train 6.908420 (lr=1.3527e-04) (hash(x)=154372635)
74
- 2400 val loss 6.8547
75
- 2400 val perplexity 948.3024
76
- 2400 train 6.695008 (lr=1.3390e-04) (hash(x)=141843115)
77
- 2500 val loss 6.8764
78
- 2500 val perplexity 969.1234
79
- 2500 train 6.780936 (lr=1.3247e-04) (hash(x)=149417679)
80
- 2600 val loss 6.8460
81
- 2600 val perplexity 940.0710
82
- 2600 train 6.705399 (lr=1.3099e-04) (hash(x)=145279030)
83
- 2700 val loss 6.8267
84
- 2700 val perplexity 922.1456
85
- 2700 train 6.738108 (lr=1.2946e-04) (hash(x)=146363911)
86
- 2800 val loss 6.7896
87
- 2800 val perplexity 888.5368
88
- 2800 train 6.743748 (lr=1.2788e-04) (hash(x)=152507639)
89
- 2900 val loss 6.7851
90
- 2900 val perplexity 884.5744
91
- 2900 train 6.561275 (lr=1.2626e-04) (hash(x)=139296191)
92
- 3000 val loss 6.7609
93
- 3000 val perplexity 863.4239
94
- 3000 train 6.757187 (lr=1.2459e-04) (hash(x)=148473774)
95
- 3100 val loss 6.6914
96
- 3100 val perplexity 805.4599
97
- 3100 train 6.768880 (lr=1.2287e-04) (hash(x)=154130527)
98
- 3200 val loss 6.6348
99
- 3200 val perplexity 761.1155
100
- 3200 train 6.586649 (lr=1.2112e-04) (hash(x)=151117002)
101
- 3300 val loss 6.6200
102
- 3300 val perplexity 749.9819
103
- 3300 train 6.764714 (lr=1.1932e-04) (hash(x)=151035383)
104
- 3400 val loss 6.6029
105
- 3400 val perplexity 737.2410
106
- 3400 train 6.731507 (lr=1.1749e-04) (hash(x)=150614749)
107
- 3500 val loss 6.5882
108
- 3500 val perplexity 726.4773
109
- 3500 train 6.565275 (lr=1.1562e-04) (hash(x)=151431391)
110
- 3600 val loss 6.6085
111
- 3600 val perplexity 741.3655
112
- 3600 train 6.543498 (lr=1.1372e-04) (hash(x)=151140797)
113
- 3700 val loss 6.5567
114
- 3700 val perplexity 703.9423
115
- 3700 train 6.750622 (lr=1.1179e-04) (hash(x)=154608340)
116
- 3800 val loss 6.5366
117
- 3800 val perplexity 689.9665
118
- 3800 train 6.559993 (lr=1.0982e-04) (hash(x)=169641309)
119
- 3900 val loss 6.5218
120
- 3900 val perplexity 679.8000
121
- 3900 train 6.492042 (lr=1.0783e-04) (hash(x)=150592479)
122
- 4000 val loss 6.5130
123
- 4000 val perplexity 673.8427
124
- 4000 train 6.484363 (lr=1.0581e-04) (hash(x)=155495317)
125
- 4100 val loss 6.5028
126
- 4100 val perplexity 667.0012
127
- 4100 train 6.692910 (lr=1.0377e-04) (hash(x)=170323970)
128
- 4200 val loss 6.5015
129
- 4200 val perplexity 666.1364
130
- 4200 train 6.316307 (lr=1.0171e-04) (hash(x)=140854360)
131
- 4300 val loss 6.4855
132
- 4300 val perplexity 655.5953
133
- 4300 train 6.486406 (lr=9.9622e-05) (hash(x)=148926644)
134
- 4400 val loss 6.4532
135
- 4400 val perplexity 634.7213
136
- 4400 train 6.490174 (lr=9.7520e-05) (hash(x)=149997871)
137
- 4500 val loss 6.4522
138
- 4500 val perplexity 634.0930
139
- 4500 train 6.414519 (lr=9.5403e-05) (hash(x)=149219289)
140
- 4600 val loss 6.4631
141
- 4600 val perplexity 641.0709
142
- 4600 train 6.281563 (lr=9.3273e-05) (hash(x)=139836197)
143
- 4700 val loss 6.4744
144
- 4700 val perplexity 648.3419
145
- 4700 train 6.421967 (lr=9.1132e-05) (hash(x)=150722883)
146
- 4800 val loss 6.4518
147
- 4800 val perplexity 633.8252
148
- 4800 train 6.639651 (lr=8.8982e-05) (hash(x)=166864648)
149
- 4900 val loss 6.4374
150
- 4900 val perplexity 624.7933
151
- 4900 train 6.549968 (lr=8.6825e-05) (hash(x)=157746743)
152
- 5000 val loss 6.4179
153
- 5000 val perplexity 612.7011
154
- 5000 train 6.368554 (lr=8.4663e-05) (hash(x)=153032257)
155
- 5100 val loss 6.4126
156
- 5100 val perplexity 609.4542
157
- 5100 train 6.476406 (lr=8.2500e-05) (hash(x)=151862371)
158
- 5200 val loss 6.4037
159
- 5200 val perplexity 604.0690
160
- 5200 train 6.694038 (lr=8.0337e-05) (hash(x)=168862995)
161
- 5300 val loss 6.4165
162
- 5300 val perplexity 611.8710
163
- 5300 train 6.378269 (lr=7.8175e-05) (hash(x)=148243567)
164
- 5400 val loss 6.4033
165
- 5400 val perplexity 603.8110
166
- 5400 train 6.334872 (lr=7.6018e-05) (hash(x)=145381742)
167
- 5500 val loss 6.3863
168
- 5500 val perplexity 593.6646
169
- 5500 train 6.534186 (lr=7.3868e-05) (hash(x)=155602174)
170
- 5600 val loss 6.3683
171
- 5600 val perplexity 583.0696
172
- 5600 train 6.443361 (lr=7.1727e-05) (hash(x)=160637672)
173
- 5700 val loss 6.3710
174
- 5700 val perplexity 584.6398
175
- 5700 train 6.291743 (lr=6.9597e-05) (hash(x)=152101131)
176
- 5800 val loss 6.3493
177
- 5800 val perplexity 572.1193
178
- 5800 train 6.318473 (lr=6.7480e-05) (hash(x)=152327089)
179
- 5900 val loss 6.3517
180
- 5900 val perplexity 573.4702
181
- 5900 train 6.292232 (lr=6.5378e-05) (hash(x)=151094543)
182
- 6000 val loss 6.3507
183
- 6000 val perplexity 572.9124
184
- 6000 train 6.437282 (lr=6.3294e-05) (hash(x)=160233315)
185
- 6100 val loss 6.3443
186
- 6100 val perplexity 569.2604
187
- 6100 train 6.436557 (lr=6.1230e-05) (hash(x)=158295337)
188
- 6200 val loss 6.3255
189
- 6200 val perplexity 558.6296
190
- 6200 train 6.284213 (lr=5.9188e-05) (hash(x)=151269817)
191
- 6300 val loss 6.3158
192
- 6300 val perplexity 553.2232
193
- 6300 train 6.439045 (lr=5.7169e-05) (hash(x)=156912756)
194
- 6400 val loss 6.3036
195
- 6400 val perplexity 546.5519
196
- 6400 train 6.262898 (lr=5.5177e-05) (hash(x)=125779637)
197
- 6500 val loss 6.3109
198
- 6500 val perplexity 550.5519
199
- 6500 train 6.200621 (lr=5.3213e-05) (hash(x)=148157661)
200
- 6600 val loss 6.3018
201
- 6600 val perplexity 545.5410
202
- 6600 train 6.336145 (lr=5.1279e-05) (hash(x)=152820049)
203
- 6700 val loss 6.2946
204
- 6700 val perplexity 541.6356
205
- 6700 train 6.257331 (lr=4.9377e-05) (hash(x)=155818717)
206
- 6800 val loss 6.2828
207
- 6800 val perplexity 535.2729
208
- 6800 train 6.318388 (lr=4.7509e-05) (hash(x)=158833881)
209
- 6900 val loss 6.2741
210
- 6900 val perplexity 530.6553
211
- 6900 train 6.197567 (lr=4.5676e-05) (hash(x)=164984909)
212
- 7000 val loss 6.2719
213
- 7000 val perplexity 529.5022
214
- 7000 train 6.165509 (lr=4.3882e-05) (hash(x)=151172493)
215
- 7100 val loss 6.2759
216
- 7100 val perplexity 531.5972
217
- 7100 train 6.307955 (lr=4.2128e-05) (hash(x)=154023633)
218
- 7200 val loss 6.2661
219
- 7200 val perplexity 526.4122
220
- 7200 train 6.149921 (lr=4.0414e-05) (hash(x)=139351250)
221
- 7300 val loss 6.2632
222
- 7300 val perplexity 524.9023
223
- 7300 train 6.218886 (lr=3.8745e-05) (hash(x)=158719458)
224
- 7400 val loss 6.2493
225
- 7400 val perplexity 517.6301
226
- 7400 train 6.330258 (lr=3.7120e-05) (hash(x)=162250810)
227
- 7500 val loss 6.2381
228
- 7500 val perplexity 511.8631
229
- 7500 train 6.112332 (lr=3.5541e-05) (hash(x)=142827557)
230
- 7600 val loss 6.2380
231
- 7600 val perplexity 511.8196
232
- 7600 train 6.153459 (lr=3.4011e-05) (hash(x)=147830801)
233
- 7700 val loss 6.2311
234
- 7700 val perplexity 508.3083
235
- 7700 train 6.335352 (lr=3.2531e-05) (hash(x)=165233314)
236
- 7800 val loss 6.2284
237
- 7800 val perplexity 506.9622
238
- 7800 train 6.220976 (lr=3.1102e-05) (hash(x)=160654717)
239
- 7900 val loss 6.2270
240
- 7900 val perplexity 506.2233
241
- 7900 train 6.102557 (lr=2.9726e-05) (hash(x)=140712586)
242
- 8000 val loss 6.2113
243
- 8000 val perplexity 498.3417
244
- 8000 train 6.367906 (lr=2.8405e-05) (hash(x)=150309061)
245
- 8100 val loss 6.2063
246
- 8100 val perplexity 495.8723
247
- 8100 train 6.201856 (lr=2.7138e-05) (hash(x)=158805466)
248
- 8200 val loss 6.2057
249
- 8200 val perplexity 495.5759
250
- 8200 train 6.074079 (lr=2.5929e-05) (hash(x)=142814078)
251
- 8300 val loss 6.1993
252
- 8300 val perplexity 492.4088
253
- 8300 train 6.161883 (lr=2.4778e-05) (hash(x)=148340417)
254
- 8400 val loss 6.1987
255
- 8400 val perplexity 492.1197
256
- 8400 train 6.151392 (lr=2.3686e-05) (hash(x)=157132639)
257
- 8500 val loss 6.1978
258
- 8500 val perplexity 491.6466
259
- 8500 train 6.153172 (lr=2.2655e-05) (hash(x)=152994240)
260
- 8600 val loss 6.1860
261
- 8600 val perplexity 485.8925
262
- 8600 train 6.145603 (lr=2.1685e-05) (hash(x)=152210154)
263
- 8700 val loss 6.1859
264
- 8700 val perplexity 485.8365
265
- 8700 train 6.241817 (lr=2.0777e-05) (hash(x)=149631247)
266
- 8800 val loss 6.1828
267
- 8800 val perplexity 484.3528
268
- 8800 train 6.051007 (lr=1.9933e-05) (hash(x)=145617784)
269
- 8900 val loss 6.1769
270
- 8900 val perplexity 481.4896
271
- 8900 train 6.254554 (lr=1.9153e-05) (hash(x)=155984970)
272
- 9000 val loss 6.1798
273
- 9000 val perplexity 482.8825
274
- 9000 train 5.940945 (lr=1.8439e-05) (hash(x)=143433013)
275
- 9100 val loss 6.1810
276
- 9100 val perplexity 483.4917
277
- 9100 train 6.057093 (lr=1.7790e-05) (hash(x)=152507533)
278
- 9200 val loss 6.1740
279
- 9200 val perplexity 480.1161
280
- 9200 train 6.288232 (lr=1.7208e-05) (hash(x)=162400650)
281
- 9300 val loss 6.1685
282
- 9300 val perplexity 477.4570
283
- 9300 train 6.225449 (lr=1.6692e-05) (hash(x)=148419068)
284
- 9400 val loss 6.1678
285
- 9400 val perplexity 477.1325
286
- 9400 train 6.139578 (lr=1.6245e-05) (hash(x)=145025169)
287
- 9500 val loss 6.1637
288
- 9500 val perplexity 475.2030
289
- 9500 train 6.133398 (lr=1.5865e-05) (hash(x)=145104235)
290
- 9600 val loss 6.1667
291
- 9600 val perplexity 476.6320
292
- 9600 train 6.100382 (lr=1.5554e-05) (hash(x)=150499797)
293
- 9700 val loss 6.1654
294
- 9700 val perplexity 476.0076
295
- 9700 train 5.987143 (lr=1.5312e-05) (hash(x)=139690022)
296
- 9800 val loss 6.1580
297
- 9800 val perplexity 472.4623
298
- 9800 train 6.160158 (lr=1.5139e-05) (hash(x)=145645279)
299
- 9900 val loss 6.1531
300
- 9900 val perplexity 470.1617
301
- 9900 train 6.052269 (lr=1.5035e-05) (hash(x)=150103432)
302
- 9999 val loss 6.1522
303
- 9999 val perplexity 469.7554
 
2
  0 val loss 11.2810
3
  0 val perplexity 79298.4922
4
  0 train 11.295413 (lr=7.5000e-07) (hash(x)=150724848)
5
+ 100 val loss 8.5817
6
+ 100 val perplexity 5332.9116
7
+ 100 train 8.631360 (lr=7.5750e-05) (hash(x)=149217061)
8
+ 200 val loss 7.5932
9
+ 200 val perplexity 1984.5913
10
+ 200 train 7.581491 (lr=1.5000e-04) (hash(x)=149910534)
11
+ 300 val loss 7.4699
12
+ 300 val perplexity 1754.4465
13
+ 300 train 7.326682 (lr=1.4997e-04) (hash(x)=142185643)
14
+ 400 val loss 7.3927
15
+ 400 val perplexity 1624.1583
16
+ 400 train 7.405558 (lr=1.4986e-04) (hash(x)=148123706)
17
+ 500 val loss 7.3282
18
+ 500 val perplexity 1522.6230
19
+ 500 train 7.174585 (lr=1.4969e-04) (hash(x)=149952383)
20
+ 600 val loss 7.2701
21
+ 600 val perplexity 1436.7457
22
+ 600 train 7.065297 (lr=1.4945e-04) (hash(x)=146678221)
23
+ 700 val loss 7.1607
24
+ 700 val perplexity 1287.7505
25
+ 700 train 7.205720 (lr=1.4913e-04) (hash(x)=156180736)
26
+ 800 val loss 7.0975
27
+ 800 val perplexity 1209.0013
28
+ 800 train 7.072469 (lr=1.4876e-04) (hash(x)=151700982)
29
+ 900 val loss 7.0589
30
+ 900 val perplexity 1163.1676
31
+ 900 train 6.836958 (lr=1.4831e-04) (hash(x)=147288467)
32
+ 1000 val loss 7.0223
33
+ 1000 val perplexity 1121.3513
34
+ 1000 train 7.066115 (lr=1.4779e-04) (hash(x)=156182087)
35
+ 1100 val loss 7.0102
36
+ 1100 val perplexity 1107.9083
37
+ 1100 train 6.860521 (lr=1.4721e-04) (hash(x)=147861550)
38
+ 1200 val loss 6.9932
39
+ 1200 val perplexity 1089.1798
40
+ 1200 train 6.866424 (lr=1.4656e-04) (hash(x)=149318660)
41
+ 1300 val loss 7.0027
42
+ 1300 val perplexity 1099.6331
43
+ 1300 train 6.823798 (lr=1.4585e-04) (hash(x)=151631103)
44
+ 1400 val loss 7.0197
45
+ 1400 val perplexity 1118.4031
46
+ 1400 train 7.047281 (lr=1.4507e-04) (hash(x)=150482428)
47
+ 1500 val loss 6.9541
48
+ 1500 val perplexity 1047.3906
49
+ 1500 train 6.805685 (lr=1.4422e-04) (hash(x)=144458617)
50
+ 1600 val loss 6.8616
51
+ 1600 val perplexity 954.9236
52
+ 1600 train 6.756378 (lr=1.4332e-04) (hash(x)=143268605)
53
+ 1700 val loss 6.8326
54
+ 1700 val perplexity 927.6204
55
+ 1700 train 6.767980 (lr=1.4235e-04) (hash(x)=150817011)
56
+ 1800 val loss 6.8296
57
+ 1800 val perplexity 924.8635
58
+ 1800 train 6.823513 (lr=1.4131e-04) (hash(x)=152322423)
59
+ 1900 val loss 6.8104
60
+ 1900 val perplexity 907.2120
61
+ 1900 train 6.606685 (lr=1.4022e-04) (hash(x)=143574126)
62
+ 2000 val loss 6.8044
63
+ 2000 val perplexity 901.8112
64
+ 2000 train 6.589591 (lr=1.3907e-04) (hash(x)=147904298)
65
+ 2100 val loss 6.7997
66
+ 2100 val perplexity 897.5615
67
+ 2100 train 6.542164 (lr=1.3786e-04) (hash(x)=144719400)
68
+ 2200 val loss 6.7954
69
+ 2200 val perplexity 893.6961
70
+ 2200 train 7.016779 (lr=1.3660e-04) (hash(x)=154343147)
71
+ 2300 val loss 6.7536
72
+ 2300 val perplexity 857.1774
73
+ 2300 train 6.790805 (lr=1.3527e-04) (hash(x)=154372635)
74
+ 2400 val loss 6.7246
75
+ 2400 val perplexity 832.6526
76
+ 2400 train 6.568871 (lr=1.3390e-04) (hash(x)=141843115)
77
+ 2500 val loss 6.6865
78
+ 2500 val perplexity 801.4880
79
+ 2500 train 6.583528 (lr=1.3247e-04) (hash(x)=149417679)
80
+ 2600 val loss 6.6823
81
+ 2600 val perplexity 798.1768
82
+ 2600 train 6.545222 (lr=1.3099e-04) (hash(x)=145279030)
83
+ 2700 val loss 6.6431
84
+ 2700 val perplexity 767.4857
85
+ 2700 train 6.573290 (lr=1.2946e-04) (hash(x)=146363911)
86
+ 2800 val loss 6.6954
87
+ 2800 val perplexity 808.7022
88
+ 2800 train 6.648605 (lr=1.2788e-04) (hash(x)=152507639)
89
+ 2900 val loss 6.6802
90
+ 2900 val perplexity 796.4598
91
+ 2900 train 6.488822 (lr=1.2626e-04) (hash(x)=139296191)
92
+ 3000 val loss 6.6775
93
+ 3000 val perplexity 794.3075
94
+ 3000 train 6.686038 (lr=1.2459e-04) (hash(x)=148473774)
95
+ 3100 val loss 6.6638
96
+ 3100 val perplexity 783.4847
97
+ 3100 train 6.742999 (lr=1.2287e-04) (hash(x)=154130527)
98
+ 3200 val loss 6.6479
99
+ 3200 val perplexity 771.1449
100
+ 3200 train 6.599888 (lr=1.2112e-04) (hash(x)=151117002)
101
+ 3300 val loss 6.6349
102
+ 3300 val perplexity 761.2346
103
+ 3300 train 6.778743 (lr=1.1932e-04) (hash(x)=151035383)
104
+ 3400 val loss 6.6253
105
+ 3400 val perplexity 753.8972
106
+ 3400 train 6.759344 (lr=1.1749e-04) (hash(x)=150614749)
107
+ 3500 val loss 6.6271
108
+ 3500 val perplexity 755.2767
109
+ 3500 train 6.640333 (lr=1.1562e-04) (hash(x)=151431391)
110
+ 3600 val loss 6.5977
111
+ 3600 val perplexity 733.3723
112
+ 3600 train 6.536980 (lr=1.1372e-04) (hash(x)=151140797)
113
+ 3700 val loss 6.6127
114
+ 3700 val perplexity 744.4752
115
+ 3700 train 6.792097 (lr=1.1179e-04) (hash(x)=154608340)
116
+ 3800 val loss 6.6042
117
+ 3800 val perplexity 738.1901
118
+ 3800 train 6.620290 (lr=1.0982e-04) (hash(x)=169641309)
119
+ 3900 val loss 6.5557
120
+ 3900 val perplexity 703.2455
121
+ 3900 train 6.523308 (lr=1.0783e-04) (hash(x)=150592479)
122
+ 4000 val loss 6.5413
123
+ 4000 val perplexity 693.1867
124
+ 4000 train 6.511438 (lr=1.0581e-04) (hash(x)=155495317)
125
+ 4100 val loss 6.5415
126
+ 4100 val perplexity 693.3563
127
+ 4100 train 6.727324 (lr=1.0377e-04) (hash(x)=170323970)
128
+ 4200 val loss 6.5481
129
+ 4200 val perplexity 697.9368
130
+ 4200 train 6.369248 (lr=1.0171e-04) (hash(x)=140854360)
131
+ 4300 val loss 6.5413
132
+ 4300 val perplexity 693.1804
133
+ 4300 train 6.532832 (lr=9.9622e-05) (hash(x)=148926644)
134
+ 4400 val loss 6.5165
135
+ 4400 val perplexity 676.1769
136
+ 4400 train 6.555954 (lr=9.7520e-05) (hash(x)=149997871)
137
+ 4500 val loss 6.4623
138
+ 4500 val perplexity 640.5529
139
+ 4500 train 6.415502 (lr=9.5403e-05) (hash(x)=149219289)
140
+ 4600 val loss 6.4509
141
+ 4600 val perplexity 633.2473
142
+ 4600 train 6.264147 (lr=9.3273e-05) (hash(x)=139836197)
143
+ 4700 val loss 6.4489
144
+ 4700 val perplexity 631.9807
145
+ 4700 train 6.410443 (lr=9.1132e-05) (hash(x)=150722883)
146
+ 4800 val loss 6.4401
147
+ 4800 val perplexity 626.4460
148
+ 4800 train 6.639719 (lr=8.8982e-05) (hash(x)=166864648)
149
+ 4900 val loss 6.4142
150
+ 4900 val perplexity 610.4495
151
+ 4900 train 6.536889 (lr=8.6825e-05) (hash(x)=157746743)
152
+ 5000 val loss 6.3877
153
+ 5000 val perplexity 594.4929
154
+ 5000 train 6.344072 (lr=8.4663e-05) (hash(x)=153032257)
155
+ 5100 val loss 6.3855
156
+ 5100 val perplexity 593.1589
157
+ 5100 train 6.445783 (lr=8.2500e-05) (hash(x)=151862371)
158
+ 5200 val loss 6.3667
159
+ 5200 val perplexity 582.1065
160
+ 5200 train 6.667581 (lr=8.0337e-05) (hash(x)=168862995)
161
+ 5300 val loss 6.3696
162
+ 5300 val perplexity 583.8088
163
+ 5300 train 6.328732 (lr=7.8175e-05) (hash(x)=148243567)
164
+ 5400 val loss 6.3508
165
+ 5400 val perplexity 572.9389
166
+ 5400 train 6.276412 (lr=7.6018e-05) (hash(x)=145381742)
167
+ 5500 val loss 6.3349
168
+ 5500 val perplexity 563.9183
169
+ 5500 train 6.471667 (lr=7.3868e-05) (hash(x)=155602174)
170
+ 5600 val loss 6.3206
171
+ 5600 val perplexity 555.9157
172
+ 5600 train 6.392186 (lr=7.1727e-05) (hash(x)=160637672)
173
+ 5700 val loss 6.3222
174
+ 5700 val perplexity 556.7697
175
+ 5700 train 6.250708 (lr=6.9597e-05) (hash(x)=152101131)
176
+ 5800 val loss 6.3087
177
+ 5800 val perplexity 549.3273
178
+ 5800 train 6.284104 (lr=6.7480e-05) (hash(x)=152327089)
179
+ 5900 val loss 6.3093
180
+ 5900 val perplexity 549.6396
181
+ 5900 train 6.256981 (lr=6.5378e-05) (hash(x)=151094543)
182
+ 6000 val loss 6.3130
183
+ 6000 val perplexity 551.7166
184
+ 6000 train 6.390558 (lr=6.3294e-05) (hash(x)=160233315)
185
+ 6100 val loss 6.2926
186
+ 6100 val perplexity 540.5599
187
+ 6100 train 6.394215 (lr=6.1230e-05) (hash(x)=158295337)
188
+ 6200 val loss 6.2789
189
+ 6200 val perplexity 533.2273
190
+ 6200 train 6.239454 (lr=5.9188e-05) (hash(x)=151269817)
191
+ 6300 val loss 6.2694
192
+ 6300 val perplexity 528.1562
193
+ 6300 train 6.401673 (lr=5.7169e-05) (hash(x)=156912756)
194
+ 6400 val loss 6.2619
195
+ 6400 val perplexity 524.2102
196
+ 6400 train 6.249959 (lr=5.5177e-05) (hash(x)=125779637)
197
+ 6500 val loss 6.2738
198
+ 6500 val perplexity 530.4722
199
+ 6500 train 6.169670 (lr=5.3213e-05) (hash(x)=148157661)
200
+ 6600 val loss 6.2593
201
+ 6600 val perplexity 522.8664
202
+ 6600 train 6.271819 (lr=5.1279e-05) (hash(x)=152820049)
203
+ 6700 val loss 6.2570
204
+ 6700 val perplexity 521.6345
205
+ 6700 train 6.216044 (lr=4.9377e-05) (hash(x)=155818717)
206
+ 6800 val loss 6.2368
207
+ 6800 val perplexity 511.1964
208
+ 6800 train 6.283014 (lr=4.7509e-05) (hash(x)=158833881)
209
+ 6900 val loss 6.2285
210
+ 6900 val perplexity 506.9743
211
+ 6900 train 6.179168 (lr=4.5676e-05) (hash(x)=164984909)
212
+ 7000 val loss 6.2311
213
+ 7000 val perplexity 508.3391
214
+ 7000 train 6.126690 (lr=4.3882e-05) (hash(x)=151172493)
215
+ 7100 val loss 6.2327
216
+ 7100 val perplexity 509.1287
217
+ 7100 train 6.266987 (lr=4.2128e-05) (hash(x)=154023633)
218
+ 7200 val loss 6.2152
219
+ 7200 val perplexity 500.3194
220
+ 7200 train 6.093438 (lr=4.0414e-05) (hash(x)=139351250)
221
+ 7300 val loss 6.2126
222
+ 7300 val perplexity 498.9968
223
+ 7300 train 6.167672 (lr=3.8745e-05) (hash(x)=158719458)
224
+ 7400 val loss 6.2025
225
+ 7400 val perplexity 494.0034
226
+ 7400 train 6.270429 (lr=3.7120e-05) (hash(x)=162250810)
227
+ 7500 val loss 6.1907
228
+ 7500 val perplexity 488.2101
229
+ 7500 train 6.070210 (lr=3.5541e-05) (hash(x)=142827557)
230
+ 7600 val loss 6.1884
231
+ 7600 val perplexity 487.0707
232
+ 7600 train 6.085032 (lr=3.4011e-05) (hash(x)=147830801)
233
+ 7700 val loss 6.1889
234
+ 7700 val perplexity 487.3230
235
+ 7700 train 6.269209 (lr=3.2531e-05) (hash(x)=165233314)
236
+ 7800 val loss 6.1830
237
+ 7800 val perplexity 484.4642
238
+ 7800 train 6.176233 (lr=3.1102e-05) (hash(x)=160654717)
239
+ 7900 val loss 6.1814
240
+ 7900 val perplexity 483.6577
241
+ 7900 train 6.050529 (lr=2.9726e-05) (hash(x)=140712586)
242
+ 8000 val loss 6.1706
243
+ 8000 val perplexity 478.4890
244
+ 8000 train 6.319698 (lr=2.8405e-05) (hash(x)=150309061)
245
+ 8100 val loss 6.1642
246
+ 8100 val perplexity 475.4011
247
+ 8100 train 6.150677 (lr=2.7138e-05) (hash(x)=158805466)
248
+ 8200 val loss 6.1579
249
+ 8200 val perplexity 472.4475
250
+ 8200 train 6.029180 (lr=2.5929e-05) (hash(x)=142814078)
251
+ 8300 val loss 6.1567
252
+ 8300 val perplexity 471.8569
253
+ 8300 train 6.110010 (lr=2.4778e-05) (hash(x)=148340417)
254
+ 8400 val loss 6.1595
255
+ 8400 val perplexity 473.1881
256
+ 8400 train 6.101810 (lr=2.3686e-05) (hash(x)=157132639)
257
+ 8500 val loss 6.1568
258
+ 8500 val perplexity 471.9323
259
+ 8500 train 6.116642 (lr=2.2655e-05) (hash(x)=152994240)
260
+ 8600 val loss 6.1439
261
+ 8600 val perplexity 465.8618
262
+ 8600 train 6.103668 (lr=2.1685e-05) (hash(x)=152210154)
263
+ 8700 val loss 6.1421
264
+ 8700 val perplexity 465.0104
265
+ 8700 train 6.190649 (lr=2.0777e-05) (hash(x)=149631247)
266
+ 8800 val loss 6.1399
267
+ 8800 val perplexity 464.0101
268
+ 8800 train 5.996617 (lr=1.9933e-05) (hash(x)=145617784)
269
+ 8900 val loss 6.1353
270
+ 8900 val perplexity 461.8795
271
+ 8900 train 6.206507 (lr=1.9153e-05) (hash(x)=155984970)
272
+ 9000 val loss 6.1374
273
+ 9000 val perplexity 462.8537
274
+ 9000 train 5.890743 (lr=1.8439e-05) (hash(x)=143433013)
275
+ 9100 val loss 6.1376
276
+ 9100 val perplexity 462.9261
277
+ 9100 train 6.009195 (lr=1.7790e-05) (hash(x)=152507533)
278
+ 9200 val loss 6.1288
279
+ 9200 val perplexity 458.8862
280
+ 9200 train 6.234875 (lr=1.7208e-05) (hash(x)=162400650)
281
+ 9300 val loss 6.1247
282
+ 9300 val perplexity 457.0203
283
+ 9300 train 6.179266 (lr=1.6692e-05) (hash(x)=148419068)
284
+ 9400 val loss 6.1257
285
+ 9400 val perplexity 457.4461
286
+ 9400 train 6.100061 (lr=1.6245e-05) (hash(x)=145025169)
287
+ 9500 val loss 6.1228
288
+ 9500 val perplexity 456.1235
289
+ 9500 train 6.096772 (lr=1.5865e-05) (hash(x)=145104235)
290
+ 9600 val loss 6.1236
291
+ 9600 val perplexity 456.4965
292
+ 9600 train 6.053626 (lr=1.5554e-05) (hash(x)=150499797)
293
+ 9700 val loss 6.1195
294
+ 9700 val perplexity 454.6506
295
+ 9700 train 5.945662 (lr=1.5312e-05) (hash(x)=139690022)
296
+ 9800 val loss 6.1149
297
+ 9800 val perplexity 452.5396
298
+ 9800 train 6.116775 (lr=1.5139e-05) (hash(x)=145645279)
299
+ 9900 val loss 6.1106
300
+ 9900 val perplexity 450.5890
301
+ 9900 train 6.013401 (lr=1.5035e-05) (hash(x)=150103432)
302
+ 9999 val loss 6.1084
303
+ 9999 val perplexity 449.6328
attention_kindselective_n_heads4_seed1339/model_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e716d019135dfe3a2162e5557ea36fbb3de4f3a202bd9edbebb7262813fb5f5f
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9294532d9d2d4c7db014f7c1f5323cf5a4a2a16513b50cbc1b1039191702c59
3
  size 92843394
attention_kindselective_n_heads4_seed1339/model_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4a29171b6ea1a71ea214bfb3b23186077674ba2b36ea6818a1ecb25d083c5a24
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:71bdb80b8d183c8b995a678d3b770c11ac172bc535692db54ed7801762c64c1b
3
  size 92843394
attention_kindselective_n_heads4_seed1339/model_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9cc9582bdfd4241e8a7e5a7ac2d18b080ce3fc67ed7721340f67a55d44f36b1c
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce765557cd271eef6368a61da11f4937b2fa47747c4d797eb63cb9c6318ee3dc
3
  size 92843394
attention_kindselective_n_heads4_seed1339/model_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c20142fb9b1c16799d1e6996ace274d6582244a691ec9343774e0f59016276ab
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9bf858df261be317cfb63794b256e4a8d2da111417ac052e97654337dcdab941
3
  size 92843394
attention_kindselective_n_heads4_seed1339/optimizer_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bb13a645e3fb0d0a7ad40ae6b27063e7881bc03ee558ced863ad4d5e2b4e0c43
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:202df9b4ec19476f10069e10e4da133d7a1786cb35ccd20c1a5c3bf5c23dc384
3
  size 179406214
attention_kindselective_n_heads4_seed1339/optimizer_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:56b9061bc444d656c038eb3f035450cd31039dd78d555ec8510c390924b9e5ac
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d94d2d71ffe79e132aabc8895a5207065010391979dca509b8e3d88bad546633
3
  size 179406214
attention_kindselective_n_heads4_seed1339/optimizer_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:537491d8da9df92ce0fe0f70ddbf61245ac4a12374ab5b94c15fd36c90057ff5
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bba53bf30935669f2bae08d31556a325db6d8c9f1cb754cb0ff4ef1cbe276934
3
  size 179406214
attention_kindselective_n_heads4_seed1339/optimizer_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:514e3f12687baea816c1ef563b9a785864000f1cb4641b8ced72d92cdab0c005
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6fa363931f59651b3dfe70400beca8db629ec599879e5ac22dc68db271c6bb19
3
  size 179406214