andrew-healey commited on
Commit
059abbd
·
verified ·
1 Parent(s): 3cfa39f

Upload folder using huggingface_hub

Browse files
lr6e-5_total_batch_size61440_two_masks_4_heads_seed1339/args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_10/lr6e-5_total_batch_size61440_two_masks_4_heads_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": 8750, "warmup_steps": 500, "group": "wider_is_better_10", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "two_masks", "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_1339", "n_embd": 256}
lr6e-5_total_batch_size61440_two_masks_4_heads_seed1339/dataloader_08749.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:953385078aa3787b69fc6857dfd48b0a2cd2f4d27c6f8892e01211aca53d07f5
3
+ size 964
lr6e-5_total_batch_size61440_two_masks_4_heads_seed1339/log2.txt ADDED
@@ -0,0 +1,267 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ max_steps: 8750
2
+ 0 val loss 11.2561
3
+ 0 val perplexity 77350.9609
4
+ 0 train 11.256043 (lr=1.2000e-07) (hash(x)=150724848)
5
+ 100 val loss 10.0106
6
+ 100 val perplexity 22260.3613
7
+ 100 train 10.019782 (lr=1.2120e-05) (hash(x)=149910534)
8
+ 200 val loss 9.4212
9
+ 200 val perplexity 12347.5879
10
+ 200 train 9.453641 (lr=2.4120e-05) (hash(x)=148123706)
11
+ 300 val loss 8.3326
12
+ 300 val perplexity 4157.0444
13
+ 300 train 8.238178 (lr=3.6120e-05) (hash(x)=146678221)
14
+ 400 val loss 7.7372
15
+ 400 val perplexity 2292.0398
16
+ 400 train 7.632246 (lr=4.8120e-05) (hash(x)=151700982)
17
+ 500 val loss 7.5408
18
+ 500 val perplexity 1883.3497
19
+ 500 train 7.628691 (lr=6.0000e-05) (hash(x)=156182087)
20
+ 600 val loss 7.4409
21
+ 600 val perplexity 1704.2441
22
+ 600 train 7.437863 (lr=5.9980e-05) (hash(x)=149318660)
23
+ 700 val loss 7.3756
24
+ 700 val perplexity 1596.6025
25
+ 700 train 7.414310 (lr=5.9922e-05) (hash(x)=150482428)
26
+ 800 val loss 7.3037
27
+ 800 val perplexity 1485.7595
28
+ 800 train 7.181281 (lr=5.9824e-05) (hash(x)=143268605)
29
+ 900 val loss 7.2288
30
+ 900 val perplexity 1378.5511
31
+ 900 train 7.195660 (lr=5.9687e-05) (hash(x)=152322423)
32
+ 1000 val loss 7.1645
33
+ 1000 val perplexity 1292.7592
34
+ 1000 train 7.029536 (lr=5.9512e-05) (hash(x)=147904298)
35
+ 1100 val loss 7.0876
36
+ 1100 val perplexity 1197.0170
37
+ 1100 train 7.279038 (lr=5.9298e-05) (hash(x)=154343147)
38
+ 1200 val loss 6.9971
39
+ 1200 val perplexity 1093.4266
40
+ 1200 train 6.981460 (lr=5.9046e-05) (hash(x)=141843115)
41
+ 1300 val loss 6.9141
42
+ 1300 val perplexity 1006.3934
43
+ 1300 train 6.803492 (lr=5.8757e-05) (hash(x)=145279030)
44
+ 1400 val loss 6.8364
45
+ 1400 val perplexity 931.1666
46
+ 1400 train 6.781555 (lr=5.8430e-05) (hash(x)=152507639)
47
+ 1500 val loss 6.7377
48
+ 1500 val perplexity 843.5795
49
+ 1500 train 6.773906 (lr=5.8066e-05) (hash(x)=148473774)
50
+ 1600 val loss 6.6373
51
+ 1600 val perplexity 763.0455
52
+ 1600 train 6.672471 (lr=5.7666e-05) (hash(x)=151117002)
53
+ 1700 val loss 6.5729
54
+ 1700 val perplexity 715.4456
55
+ 1700 train 6.503576 (lr=5.7230e-05) (hash(x)=138011335)
56
+ 1800 val loss 6.5051
57
+ 1800 val perplexity 668.5574
58
+ 1800 train 6.639477 (lr=5.6759e-05) (hash(x)=171180926)
59
+ 1900 val loss 6.4382
60
+ 1900 val perplexity 625.3024
61
+ 1900 train 6.356393 (lr=5.6253e-05) (hash(x)=141769419)
62
+ 2000 val loss 6.3844
63
+ 2000 val perplexity 592.5333
64
+ 2000 train 6.327018 (lr=5.5714e-05) (hash(x)=151963443)
65
+ 2100 val loss 6.3660
66
+ 2100 val perplexity 581.6981
67
+ 2100 train 6.420936 (lr=5.5142e-05) (hash(x)=162947470)
68
+ 2200 val loss 6.2967
69
+ 2200 val perplexity 542.7556
70
+ 2200 train 6.524726 (lr=5.4537e-05) (hash(x)=154954810)
71
+ 2300 val loss 6.2573
72
+ 2300 val perplexity 521.7907
73
+ 2300 train 6.240864 (lr=5.3902e-05) (hash(x)=151878111)
74
+ 2400 val loss 6.2313
75
+ 2400 val perplexity 508.4060
76
+ 2400 train 6.125352 (lr=5.3236e-05) (hash(x)=158661057)
77
+ 2500 val loss 6.1914
78
+ 2500 val perplexity 488.5492
79
+ 2500 train 6.221001 (lr=5.2541e-05) (hash(x)=150925584)
80
+ 2600 val loss 6.1655
81
+ 2600 val perplexity 476.0305
82
+ 2600 train 6.075785 (lr=5.1817e-05) (hash(x)=144515755)
83
+ 2700 val loss 6.1455
84
+ 2700 val perplexity 466.6103
85
+ 2700 train 6.120259 (lr=5.1067e-05) (hash(x)=153109144)
86
+ 2800 val loss 6.1122
87
+ 2800 val perplexity 451.3339
88
+ 2800 train 6.019416 (lr=5.0290e-05) (hash(x)=151152897)
89
+ 2900 val loss 6.0876
90
+ 2900 val perplexity 440.3468
91
+ 2900 train 6.022316 (lr=4.9487e-05) (hash(x)=145800210)
92
+ 3000 val loss 6.0684
93
+ 3000 val perplexity 432.0015
94
+ 3000 train 5.871547 (lr=4.8662e-05) (hash(x)=141997485)
95
+ 3100 val loss 6.0350
96
+ 3100 val perplexity 417.8127
97
+ 3100 train 5.959313 (lr=4.7813e-05) (hash(x)=154049740)
98
+ 3200 val loss 6.0143
99
+ 3200 val perplexity 409.2258
100
+ 3200 train 5.951076 (lr=4.6943e-05) (hash(x)=150471842)
101
+ 3300 val loss 6.0058
102
+ 3300 val perplexity 405.7905
103
+ 3300 train 5.951585 (lr=4.6052e-05) (hash(x)=149048126)
104
+ 3400 val loss 5.9749
105
+ 3400 val perplexity 393.4469
106
+ 3400 train 6.098579 (lr=4.5143e-05) (hash(x)=161261339)
107
+ 3500 val loss 5.9550
108
+ 3500 val perplexity 385.6769
109
+ 3500 train 5.921894 (lr=4.4216e-05) (hash(x)=157495564)
110
+ 3600 val loss 5.9388
111
+ 3600 val perplexity 379.4659
112
+ 3600 train 5.857219 (lr=4.3273e-05) (hash(x)=144352932)
113
+ 3700 val loss 5.9208
114
+ 3700 val perplexity 372.7189
115
+ 3700 train 5.893260 (lr=4.2315e-05) (hash(x)=149389012)
116
+ 3800 val loss 5.8982
117
+ 3800 val perplexity 364.3758
118
+ 3800 train 5.839093 (lr=4.1343e-05) (hash(x)=146607620)
119
+ 3900 val loss 5.8898
120
+ 3900 val perplexity 361.3354
121
+ 3900 train 5.805131 (lr=4.0360e-05) (hash(x)=143754617)
122
+ 4000 val loss 5.8702
123
+ 4000 val perplexity 354.3158
124
+ 4000 train 5.847651 (lr=3.9365e-05) (hash(x)=156930722)
125
+ 4100 val loss 5.8546
126
+ 4100 val perplexity 348.8230
127
+ 4100 train 5.693880 (lr=3.8362e-05) (hash(x)=147500519)
128
+ 4200 val loss 5.8416
129
+ 4200 val perplexity 344.3155
130
+ 4200 train 5.685581 (lr=3.7351e-05) (hash(x)=143232237)
131
+ 4300 val loss 5.8238
132
+ 4300 val perplexity 338.2632
133
+ 4300 train 5.730355 (lr=3.6333e-05) (hash(x)=146811670)
134
+ 4400 val loss 5.8094
135
+ 4400 val perplexity 333.4224
136
+ 4400 train 5.845029 (lr=3.5311e-05) (hash(x)=158418746)
137
+ 4500 val loss 5.7963
138
+ 4500 val perplexity 329.0671
139
+ 4500 train 5.756180 (lr=3.4285e-05) (hash(x)=156695778)
140
+ 4600 val loss 5.7852
141
+ 4600 val perplexity 325.4496
142
+ 4600 train 5.797576 (lr=3.3257e-05) (hash(x)=147791497)
143
+ 4700 val loss 5.7695
144
+ 4700 val perplexity 320.3735
145
+ 4700 train 5.664525 (lr=3.2229e-05) (hash(x)=155533088)
146
+ 4800 val loss 5.7604
147
+ 4800 val perplexity 317.4795
148
+ 4800 train 5.614402 (lr=3.1202e-05) (hash(x)=138350044)
149
+ 4900 val loss 5.7464
150
+ 4900 val perplexity 313.0471
151
+ 4900 train 5.746566 (lr=3.0178e-05) (hash(x)=143735284)
152
+ 5000 val loss 5.7341
153
+ 5000 val perplexity 309.2351
154
+ 5000 train 5.691934 (lr=2.9157e-05) (hash(x)=154976463)
155
+ 5100 val loss 5.7297
156
+ 5100 val perplexity 307.8734
157
+ 5100 train 5.622232 (lr=2.8143e-05) (hash(x)=149894982)
158
+ 5200 val loss 5.7155
159
+ 5200 val perplexity 303.5452
160
+ 5200 train 5.496017 (lr=2.7135e-05) (hash(x)=159326689)
161
+ 5300 val loss 5.7035
162
+ 5300 val perplexity 299.9124
163
+ 5300 train 5.717716 (lr=2.6136e-05) (hash(x)=159484800)
164
+ 5400 val loss 5.6889
165
+ 5400 val perplexity 295.5559
166
+ 5400 train 5.597114 (lr=2.5147e-05) (hash(x)=140385615)
167
+ 5500 val loss 5.6804
168
+ 5500 val perplexity 293.0521
169
+ 5500 train 5.510218 (lr=2.4169e-05) (hash(x)=148498335)
170
+ 5600 val loss 5.6792
171
+ 5600 val perplexity 292.7039
172
+ 5600 train 5.420145 (lr=2.3204e-05) (hash(x)=151907614)
173
+ 5700 val loss 5.6702
174
+ 5700 val perplexity 290.0860
175
+ 5700 train 5.639629 (lr=2.2253e-05) (hash(x)=155192267)
176
+ 5800 val loss 5.6541
177
+ 5800 val perplexity 285.4713
178
+ 5800 train 5.701157 (lr=2.1318e-05) (hash(x)=153132158)
179
+ 5900 val loss 5.6533
180
+ 5900 val perplexity 285.2193
181
+ 5900 train 5.619873 (lr=2.0400e-05) (hash(x)=161446764)
182
+ 6000 val loss 5.6477
183
+ 6000 val perplexity 283.6525
184
+ 6000 train 5.445190 (lr=1.9500e-05) (hash(x)=151512446)
185
+ 6100 val loss 5.6351
186
+ 6100 val perplexity 280.0993
187
+ 6100 train 5.734171 (lr=1.8620e-05) (hash(x)=188094053)
188
+ 6200 val loss 5.6253
189
+ 6200 val perplexity 277.3429
190
+ 6200 train 5.512557 (lr=1.7760e-05) (hash(x)=149389789)
191
+ 6300 val loss 5.6203
192
+ 6300 val perplexity 275.9817
193
+ 6300 train 5.442704 (lr=1.6923e-05) (hash(x)=138212820)
194
+ 6400 val loss 5.6165
195
+ 6400 val perplexity 274.9195
196
+ 6400 train 5.402879 (lr=1.6108e-05) (hash(x)=146535423)
197
+ 6500 val loss 5.6079
198
+ 6500 val perplexity 272.5826
199
+ 6500 train 5.481564 (lr=1.5319e-05) (hash(x)=145950843)
200
+ 6600 val loss 5.5999
201
+ 6600 val perplexity 270.4070
202
+ 6600 train 5.505300 (lr=1.4555e-05) (hash(x)=141162902)
203
+ 6700 val loss 5.5991
204
+ 6700 val perplexity 270.1852
205
+ 6700 train 5.518464 (lr=1.3817e-05) (hash(x)=153018737)
206
+ 6800 val loss 5.5907
207
+ 6800 val perplexity 267.9099
208
+ 6800 train 5.506629 (lr=1.3108e-05) (hash(x)=155640155)
209
+ 6900 val loss 5.5868
210
+ 6900 val perplexity 266.8924
211
+ 6900 train 5.553267 (lr=1.2427e-05) (hash(x)=153722115)
212
+ 7000 val loss 5.5800
213
+ 7000 val perplexity 265.0749
214
+ 7000 train 5.497493 (lr=1.1777e-05) (hash(x)=146953450)
215
+ 7100 val loss 5.5797
216
+ 7100 val perplexity 264.9916
217
+ 7100 train 5.423279 (lr=1.1157e-05) (hash(x)=137663885)
218
+ 7200 val loss 5.5679
219
+ 7200 val perplexity 261.8954
220
+ 7200 train 5.647879 (lr=1.0568e-05) (hash(x)=146172950)
221
+ 7300 val loss 5.5648
222
+ 7300 val perplexity 261.0784
223
+ 7300 train 5.459376 (lr=1.0012e-05) (hash(x)=150018163)
224
+ 7400 val loss 5.5609
225
+ 7400 val perplexity 260.0634
226
+ 7400 train 5.574271 (lr=9.4899e-06) (hash(x)=145351166)
227
+ 7500 val loss 5.5609
228
+ 7500 val perplexity 260.0666
229
+ 7500 train 5.348469 (lr=9.0014e-06) (hash(x)=145292116)
230
+ 7600 val loss 5.5526
231
+ 7600 val perplexity 257.9185
232
+ 7600 train 5.474073 (lr=8.5478e-06) (hash(x)=150235132)
233
+ 7700 val loss 5.5492
234
+ 7700 val perplexity 257.0341
235
+ 7700 train 5.456861 (lr=8.1297e-06) (hash(x)=154543455)
236
+ 7800 val loss 5.5473
237
+ 7800 val perplexity 256.5529
238
+ 7800 train 5.457225 (lr=7.7476e-06) (hash(x)=142456852)
239
+ 7900 val loss 5.5468
240
+ 7900 val perplexity 256.4154
241
+ 7900 train 5.321056 (lr=7.4021e-06) (hash(x)=147363479)
242
+ 8000 val loss 5.5394
243
+ 8000 val perplexity 254.5357
244
+ 8000 train 5.570914 (lr=7.0937e-06) (hash(x)=156122973)
245
+ 8100 val loss 5.5377
246
+ 8100 val perplexity 254.0970
247
+ 8100 train 5.588730 (lr=6.8229e-06) (hash(x)=156153179)
248
+ 8200 val loss 5.5352
249
+ 8200 val perplexity 253.4494
250
+ 8200 train 5.584256 (lr=6.5900e-06) (hash(x)=146430698)
251
+ 8300 val loss 5.5342
252
+ 8300 val perplexity 253.1967
253
+ 8300 train 5.407774 (lr=6.3954e-06) (hash(x)=143507257)
254
+ 8400 val loss 5.5294
255
+ 8400 val perplexity 251.9823
256
+ 8400 train 5.507139 (lr=6.2395e-06) (hash(x)=166272643)
257
+ 8500 val loss 5.5269
258
+ 8500 val perplexity 251.3694
259
+ 8500 train 5.430086 (lr=6.1223e-06) (hash(x)=143887848)
260
+ 8600 val loss 5.5259
261
+ 8600 val perplexity 251.1117
262
+ 8600 train 5.559775 (lr=6.0440e-06) (hash(x)=156900341)
263
+ 8700 val loss 5.5208
264
+ 8700 val perplexity 249.8283
265
+ 8700 train 5.737858 (lr=6.0049e-06) (hash(x)=146417632)
266
+ 8749 val loss 5.5203
267
+ 8749 val perplexity 249.7142
lr6e-5_total_batch_size61440_two_masks_4_heads_seed1339/model_08749.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f35da01512e757d31a48acc9aaed16c1291f277c79d2ce7089e269b1af8ecd09
3
+ size 97580418
lr6e-5_total_batch_size61440_two_masks_4_heads_seed1339/optimizer_08749.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:851db782e4e0fe51974459f9d086e199d7c156049422bba50084505bc5101f08
3
+ size 188880262