andrew-healey commited on
Commit
ee73315
·
verified ·
1 Parent(s): c9e2a33

Upload folder using huggingface_hub

Browse files
lr5.5e-5_total_batch_size61440_baseline_seed1338/args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_10/lr5.5e-5_total_batch_size61440_baseline_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": 8750, "warmup_steps": 500, "group": "wider_is_better_10", "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": 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": 5.5e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "5.5e-5_61440_1338", "n_embd": 256}
lr5.5e-5_total_batch_size61440_baseline_seed1338/dataloader_08749.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:953385078aa3787b69fc6857dfd48b0a2cd2f4d27c6f8892e01211aca53d07f5
3
+ size 964
lr5.5e-5_total_batch_size61440_baseline_seed1338/log2.txt ADDED
@@ -0,0 +1,267 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ max_steps: 8750
2
+ 0 val loss 11.2646
3
+ 0 val perplexity 78014.3047
4
+ 0 train 11.267750 (lr=1.1000e-07) (hash(x)=150327452)
5
+ 100 val loss 9.9450
6
+ 100 val perplexity 20847.2383
7
+ 100 train 9.996918 (lr=1.1110e-05) (hash(x)=166780046)
8
+ 200 val loss 9.1141
9
+ 200 val perplexity 9082.8682
10
+ 200 train 9.053102 (lr=2.2110e-05) (hash(x)=155040610)
11
+ 300 val loss 8.0183
12
+ 300 val perplexity 3035.9395
13
+ 300 train 8.014933 (lr=3.3110e-05) (hash(x)=155504036)
14
+ 400 val loss 7.6026
15
+ 400 val perplexity 2003.3218
16
+ 400 train 7.466523 (lr=4.4110e-05) (hash(x)=143823248)
17
+ 500 val loss 7.4847
18
+ 500 val perplexity 1780.6073
19
+ 500 train 7.454373 (lr=5.5000e-05) (hash(x)=143734685)
20
+ 600 val loss 7.4313
21
+ 600 val perplexity 1687.9413
22
+ 600 train 7.214120 (lr=5.4982e-05) (hash(x)=150678249)
23
+ 700 val loss 7.3474
24
+ 700 val perplexity 1552.1353
25
+ 700 train 7.486725 (lr=5.4928e-05) (hash(x)=175802021)
26
+ 800 val loss 7.2545
27
+ 800 val perplexity 1414.5203
28
+ 800 train 7.265283 (lr=5.4839e-05) (hash(x)=158681215)
29
+ 900 val loss 7.1814
30
+ 900 val perplexity 1314.7568
31
+ 900 train 7.077361 (lr=5.4713e-05) (hash(x)=146108145)
32
+ 1000 val loss 7.1197
33
+ 1000 val perplexity 1236.0907
34
+ 1000 train 6.961311 (lr=5.4553e-05) (hash(x)=154996086)
35
+ 1100 val loss 7.0403
36
+ 1100 val perplexity 1141.7784
37
+ 1100 train 7.024014 (lr=5.4357e-05) (hash(x)=153885445)
38
+ 1200 val loss 6.9773
39
+ 1200 val perplexity 1072.0734
40
+ 1200 train 6.931175 (lr=5.4126e-05) (hash(x)=142353087)
41
+ 1300 val loss 6.9208
42
+ 1300 val perplexity 1013.1246
43
+ 1300 train 6.828637 (lr=5.3860e-05) (hash(x)=150750353)
44
+ 1400 val loss 6.8724
45
+ 1400 val perplexity 965.2719
46
+ 1400 train 6.695466 (lr=5.3561e-05) (hash(x)=152767913)
47
+ 1500 val loss 6.7946
48
+ 1500 val perplexity 893.0278
49
+ 1500 train 6.830484 (lr=5.3227e-05) (hash(x)=151562048)
50
+ 1600 val loss 6.7141
51
+ 1600 val perplexity 823.9701
52
+ 1600 train 6.712261 (lr=5.2860e-05) (hash(x)=166486165)
53
+ 1700 val loss 6.6574
54
+ 1700 val perplexity 778.4987
55
+ 1700 train 6.303072 (lr=5.2461e-05) (hash(x)=130835396)
56
+ 1800 val loss 6.6013
57
+ 1800 val perplexity 736.0822
58
+ 1800 train 6.648942 (lr=5.2029e-05) (hash(x)=158851816)
59
+ 1900 val loss 6.5568
60
+ 1900 val perplexity 703.9802
61
+ 1900 train 6.589365 (lr=5.1565e-05) (hash(x)=153313879)
62
+ 2000 val loss 6.4923
63
+ 2000 val perplexity 660.0706
64
+ 2000 train 6.424527 (lr=5.1071e-05) (hash(x)=158245023)
65
+ 2100 val loss 6.4371
66
+ 2100 val perplexity 624.5764
67
+ 2100 train 6.263038 (lr=5.0547e-05) (hash(x)=157204896)
68
+ 2200 val loss 6.4097
69
+ 2200 val perplexity 607.7307
70
+ 2200 train 6.247912 (lr=4.9993e-05) (hash(x)=137541932)
71
+ 2300 val loss 6.3787
72
+ 2300 val perplexity 589.1797
73
+ 2300 train 6.332857 (lr=4.9410e-05) (hash(x)=150149692)
74
+ 2400 val loss 6.3293
75
+ 2400 val perplexity 560.7457
76
+ 2400 train 6.315440 (lr=4.8800e-05) (hash(x)=151730720)
77
+ 2500 val loss 6.3038
78
+ 2500 val perplexity 546.6617
79
+ 2500 train 6.080341 (lr=4.8162e-05) (hash(x)=143406752)
80
+ 2600 val loss 6.2849
81
+ 2600 val perplexity 536.4228
82
+ 2600 train 6.115074 (lr=4.7499e-05) (hash(x)=157272496)
83
+ 2700 val loss 6.2555
84
+ 2700 val perplexity 520.8868
85
+ 2700 train 6.251719 (lr=4.6811e-05) (hash(x)=155342327)
86
+ 2800 val loss 6.2251
87
+ 2800 val perplexity 505.2550
88
+ 2800 train 6.103718 (lr=4.6099e-05) (hash(x)=140626679)
89
+ 2900 val loss 6.2003
90
+ 2900 val perplexity 492.8994
91
+ 2900 train 6.058414 (lr=4.5364e-05) (hash(x)=144953350)
92
+ 3000 val loss 6.1796
93
+ 3000 val perplexity 482.8010
94
+ 3000 train 6.076258 (lr=4.4606e-05) (hash(x)=172449837)
95
+ 3100 val loss 6.1717
96
+ 3100 val perplexity 478.9760
97
+ 3100 train 5.958810 (lr=4.3828e-05) (hash(x)=141710086)
98
+ 3200 val loss 6.1354
99
+ 3200 val perplexity 461.9237
100
+ 3200 train 6.065051 (lr=4.3031e-05) (hash(x)=151299772)
101
+ 3300 val loss 6.1224
102
+ 3300 val perplexity 455.9704
103
+ 3300 train 5.989041 (lr=4.2215e-05) (hash(x)=146473110)
104
+ 3400 val loss 6.1019
105
+ 3400 val perplexity 446.7232
106
+ 3400 train 6.188746 (lr=4.1381e-05) (hash(x)=153954157)
107
+ 3500 val loss 6.0829
108
+ 3500 val perplexity 438.3020
109
+ 3500 train 6.019620 (lr=4.0532e-05) (hash(x)=153717336)
110
+ 3600 val loss 6.0678
111
+ 3600 val perplexity 431.7148
112
+ 3600 train 5.823302 (lr=3.9667e-05) (hash(x)=144965161)
113
+ 3700 val loss 6.0552
114
+ 3700 val perplexity 426.3289
115
+ 3700 train 5.833506 (lr=3.8789e-05) (hash(x)=125969741)
116
+ 3800 val loss 6.0324
117
+ 3800 val perplexity 416.7287
118
+ 3800 train 5.894809 (lr=3.7898e-05) (hash(x)=155070487)
119
+ 3900 val loss 6.0151
120
+ 3900 val perplexity 409.5789
121
+ 3900 train 5.890672 (lr=3.6996e-05) (hash(x)=149444644)
122
+ 4000 val loss 6.0067
123
+ 4000 val perplexity 406.1317
124
+ 4000 train 5.864836 (lr=3.6085e-05) (hash(x)=151663033)
125
+ 4100 val loss 5.9990
126
+ 4100 val perplexity 403.0375
127
+ 4100 train 5.953324 (lr=3.5165e-05) (hash(x)=143688282)
128
+ 4200 val loss 5.9740
129
+ 4200 val perplexity 393.0714
130
+ 4200 train 5.973290 (lr=3.4238e-05) (hash(x)=163361651)
131
+ 4300 val loss 5.9575
132
+ 4300 val perplexity 386.6399
133
+ 4300 train 5.988450 (lr=3.3305e-05) (hash(x)=153619361)
134
+ 4400 val loss 5.9552
135
+ 4400 val perplexity 385.7703
136
+ 4400 train 6.269998 (lr=3.2368e-05) (hash(x)=168527064)
137
+ 4500 val loss 5.9402
138
+ 4500 val perplexity 380.0159
139
+ 4500 train 5.754234 (lr=3.1428e-05) (hash(x)=125588037)
140
+ 4600 val loss 5.9200
141
+ 4600 val perplexity 372.4245
142
+ 4600 train 5.880640 (lr=3.0486e-05) (hash(x)=143710941)
143
+ 4700 val loss 5.9086
144
+ 4700 val perplexity 368.2047
145
+ 4700 train 5.740867 (lr=2.9543e-05) (hash(x)=150952742)
146
+ 4800 val loss 5.8953
147
+ 4800 val perplexity 363.3102
148
+ 4800 train 5.765694 (lr=2.8602e-05) (hash(x)=145323659)
149
+ 4900 val loss 5.8917
150
+ 4900 val perplexity 362.0049
151
+ 4900 train 5.903539 (lr=2.7663e-05) (hash(x)=153151397)
152
+ 5000 val loss 5.8786
153
+ 5000 val perplexity 357.2975
154
+ 5000 train 5.775647 (lr=2.6728e-05) (hash(x)=143182059)
155
+ 5100 val loss 5.8666
156
+ 5100 val perplexity 353.0298
157
+ 5100 train 5.900901 (lr=2.5798e-05) (hash(x)=170083586)
158
+ 5200 val loss 5.8507
159
+ 5200 val perplexity 347.4714
160
+ 5200 train 5.741638 (lr=2.4874e-05) (hash(x)=149363919)
161
+ 5300 val loss 5.8443
162
+ 5300 val perplexity 345.2589
163
+ 5300 train 5.728531 (lr=2.3958e-05) (hash(x)=152033784)
164
+ 5400 val loss 5.8293
165
+ 5400 val perplexity 340.1364
166
+ 5400 train 5.937089 (lr=2.3051e-05) (hash(x)=154614289)
167
+ 5500 val loss 5.8217
168
+ 5500 val perplexity 337.5583
169
+ 5500 train 5.912975 (lr=2.2155e-05) (hash(x)=157745174)
170
+ 5600 val loss 5.8152
171
+ 5600 val perplexity 335.3488
172
+ 5600 train 5.713684 (lr=2.1271e-05) (hash(x)=147693222)
173
+ 5700 val loss 5.8051
174
+ 5700 val perplexity 331.9754
175
+ 5700 train 5.742182 (lr=2.0399e-05) (hash(x)=149784627)
176
+ 5800 val loss 5.8038
177
+ 5800 val perplexity 331.5405
178
+ 5800 train 5.724194 (lr=1.9542e-05) (hash(x)=158620729)
179
+ 5900 val loss 5.7913
180
+ 5900 val perplexity 327.4529
181
+ 5900 train 5.737638 (lr=1.8700e-05) (hash(x)=159763910)
182
+ 6000 val loss 5.7816
183
+ 6000 val perplexity 324.2631
184
+ 6000 train 5.717546 (lr=1.7875e-05) (hash(x)=147640561)
185
+ 6100 val loss 5.7737
186
+ 6100 val perplexity 321.7176
187
+ 6100 train 5.750793 (lr=1.7068e-05) (hash(x)=156613394)
188
+ 6200 val loss 5.7690
189
+ 6200 val perplexity 320.2155
190
+ 6200 train 5.712326 (lr=1.6280e-05) (hash(x)=186221290)
191
+ 6300 val loss 5.7566
192
+ 6300 val perplexity 316.2713
193
+ 6300 train 5.636555 (lr=1.5512e-05) (hash(x)=152081419)
194
+ 6400 val loss 5.7545
195
+ 6400 val perplexity 315.6057
196
+ 6400 train 5.707115 (lr=1.4766e-05) (hash(x)=154808349)
197
+ 6500 val loss 5.7490
198
+ 6500 val perplexity 313.8748
199
+ 6500 train 5.720559 (lr=1.4042e-05) (hash(x)=159437208)
200
+ 6600 val loss 5.7469
201
+ 6600 val perplexity 313.2175
202
+ 6600 train 5.559500 (lr=1.3342e-05) (hash(x)=157933074)
203
+ 6700 val loss 5.7381
204
+ 6700 val perplexity 310.4663
205
+ 6700 train 5.716550 (lr=1.2666e-05) (hash(x)=161560240)
206
+ 6800 val loss 5.7332
207
+ 6800 val perplexity 308.9702
208
+ 6800 train 5.711833 (lr=1.2016e-05) (hash(x)=155424292)
209
+ 6900 val loss 5.7303
210
+ 6900 val perplexity 308.0646
211
+ 6900 train 5.724535 (lr=1.1392e-05) (hash(x)=148561470)
212
+ 7000 val loss 5.7225
213
+ 7000 val perplexity 305.6771
214
+ 7000 train 5.620068 (lr=1.0795e-05) (hash(x)=141527450)
215
+ 7100 val loss 5.7189
216
+ 7100 val perplexity 304.5638
217
+ 7100 train 5.676641 (lr=1.0227e-05) (hash(x)=151066339)
218
+ 7200 val loss 5.7204
219
+ 7200 val perplexity 305.0164
220
+ 7200 train 5.519127 (lr=9.6875e-06) (hash(x)=155231264)
221
+ 7300 val loss 5.7100
222
+ 7300 val perplexity 301.8799
223
+ 7300 train 5.728126 (lr=9.1780e-06) (hash(x)=150281149)
224
+ 7400 val loss 5.7074
225
+ 7400 val perplexity 301.0882
226
+ 7400 train 5.593415 (lr=8.6990e-06) (hash(x)=148421717)
227
+ 7500 val loss 5.7063
228
+ 7500 val perplexity 300.7696
229
+ 7500 train 5.468148 (lr=8.2513e-06) (hash(x)=146921118)
230
+ 7600 val loss 5.6994
231
+ 7600 val perplexity 298.6937
232
+ 7600 train 5.747622 (lr=7.8355e-06) (hash(x)=150660048)
233
+ 7700 val loss 5.6970
234
+ 7700 val perplexity 297.9716
235
+ 7700 train 5.572972 (lr=7.4522e-06) (hash(x)=148059852)
236
+ 7800 val loss 5.6964
237
+ 7800 val perplexity 297.7930
238
+ 7800 train 5.387359 (lr=7.1019e-06) (hash(x)=148331002)
239
+ 7900 val loss 5.6909
240
+ 7900 val perplexity 296.1748
241
+ 7900 train 5.637100 (lr=6.7852e-06) (hash(x)=164923883)
242
+ 8000 val loss 5.6881
243
+ 8000 val perplexity 295.3373
244
+ 8000 train 5.572701 (lr=6.5025e-06) (hash(x)=143545384)
245
+ 8100 val loss 5.6874
246
+ 8100 val perplexity 295.1346
247
+ 8100 train 5.503888 (lr=6.2543e-06) (hash(x)=160686959)
248
+ 8200 val loss 5.6850
249
+ 8200 val perplexity 294.4196
250
+ 8200 train 5.642776 (lr=6.0408e-06) (hash(x)=156501889)
251
+ 8300 val loss 5.6837
252
+ 8300 val perplexity 294.0495
253
+ 8300 train 5.522572 (lr=5.8625e-06) (hash(x)=142716875)
254
+ 8400 val loss 5.6778
255
+ 8400 val perplexity 292.2994
256
+ 8400 train 5.594144 (lr=5.7195e-06) (hash(x)=154436684)
257
+ 8500 val loss 5.6765
258
+ 8500 val perplexity 291.9289
259
+ 8500 train 5.754575 (lr=5.6121e-06) (hash(x)=147965839)
260
+ 8600 val loss 5.6745
261
+ 8600 val perplexity 291.3358
262
+ 8600 train 5.474033 (lr=5.5404e-06) (hash(x)=145228097)
263
+ 8700 val loss 5.6704
264
+ 8700 val perplexity 290.1638
265
+ 8700 train 5.862656 (lr=5.5045e-06) (hash(x)=152910357)
266
+ 8749 val loss 5.6702
267
+ 8749 val perplexity 290.0913
lr5.5e-5_total_batch_size61440_baseline_seed1338/model_08749.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d0fd315b76ba2b1d4b77dbf9499ec9f86e5a48ef6e0a27d5c83e9a09b268919
3
+ size 92843394
lr5.5e-5_total_batch_size61440_baseline_seed1338/optimizer_08749.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5447e122fb4faf2794ff71e941bac8a5d3e7dffe0af880b62dfa07758237f4a
3
+ size 179406214