andrew-healey commited on
Commit
aa10d65
·
verified ·
1 Parent(s): 5c761be

Upload folder using huggingface_hub

Browse files
lr6e-5_total_batch_size61440_baseline_seed1339/args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_10/lr6e-5_total_batch_size61440_baseline_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": "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_1339", "n_embd": 256}
lr6e-5_total_batch_size61440_baseline_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_baseline_seed1339/log2.txt ADDED
@@ -0,0 +1,267 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ max_steps: 8750
2
+ 0 val loss 11.2808
3
+ 0 val perplexity 79287.8281
4
+ 0 train 11.289343 (lr=1.2000e-07) (hash(x)=150724848)
5
+ 100 val loss 9.9755
6
+ 100 val perplexity 21492.5566
7
+ 100 train 9.989188 (lr=1.2120e-05) (hash(x)=149910534)
8
+ 200 val loss 9.0484
9
+ 200 val perplexity 8504.8945
10
+ 200 train 9.075457 (lr=2.4120e-05) (hash(x)=148123706)
11
+ 300 val loss 7.8743
12
+ 300 val perplexity 2628.8279
13
+ 300 train 7.727704 (lr=3.6120e-05) (hash(x)=146678221)
14
+ 400 val loss 7.5006
15
+ 400 val perplexity 1809.1740
16
+ 400 train 7.385983 (lr=4.8120e-05) (hash(x)=151700982)
17
+ 500 val loss 7.3579
18
+ 500 val perplexity 1568.5027
19
+ 500 train 7.441451 (lr=6.0000e-05) (hash(x)=156182087)
20
+ 600 val loss 7.2430
21
+ 600 val perplexity 1398.2352
22
+ 600 train 7.216476 (lr=5.9980e-05) (hash(x)=149318660)
23
+ 700 val loss 7.1223
24
+ 700 val perplexity 1239.3071
25
+ 700 train 7.160754 (lr=5.9922e-05) (hash(x)=150482428)
26
+ 800 val loss 6.9518
27
+ 800 val perplexity 1045.0728
28
+ 800 train 6.828316 (lr=5.9824e-05) (hash(x)=143268605)
29
+ 900 val loss 6.8351
30
+ 900 val perplexity 929.9632
31
+ 900 train 6.803361 (lr=5.9687e-05) (hash(x)=152322423)
32
+ 1000 val loss 6.7339
33
+ 1000 val perplexity 840.4306
34
+ 1000 train 6.601456 (lr=5.9512e-05) (hash(x)=147904298)
35
+ 1100 val loss 6.6412
36
+ 1100 val perplexity 766.0239
37
+ 1100 train 6.844751 (lr=5.9298e-05) (hash(x)=154343147)
38
+ 1200 val loss 6.5514
39
+ 1200 val perplexity 700.1945
40
+ 1200 train 6.538544 (lr=5.9046e-05) (hash(x)=141843115)
41
+ 1300 val loss 6.4751
42
+ 1300 val perplexity 648.7869
43
+ 1300 train 6.367088 (lr=5.8757e-05) (hash(x)=145279030)
44
+ 1400 val loss 6.4372
45
+ 1400 val perplexity 624.6503
46
+ 1400 train 6.378782 (lr=5.8430e-05) (hash(x)=152507639)
47
+ 1500 val loss 6.3972
48
+ 1500 val perplexity 600.1918
49
+ 1500 train 6.431919 (lr=5.8066e-05) (hash(x)=148473774)
50
+ 1600 val loss 6.3373
51
+ 1600 val perplexity 565.2644
52
+ 1600 train 6.383267 (lr=5.7666e-05) (hash(x)=151117002)
53
+ 1700 val loss 6.2935
54
+ 1700 val perplexity 541.0338
55
+ 1700 train 6.245098 (lr=5.7230e-05) (hash(x)=138011335)
56
+ 1800 val loss 6.2530
57
+ 1800 val perplexity 519.5478
58
+ 1800 train 6.376237 (lr=5.6759e-05) (hash(x)=171180926)
59
+ 1900 val loss 6.2118
60
+ 1900 val perplexity 498.6025
61
+ 1900 train 6.152692 (lr=5.6253e-05) (hash(x)=141769419)
62
+ 2000 val loss 6.1771
63
+ 2000 val perplexity 481.5746
64
+ 2000 train 6.130800 (lr=5.5714e-05) (hash(x)=151963443)
65
+ 2100 val loss 6.1687
66
+ 2100 val perplexity 477.5611
67
+ 2100 train 6.221868 (lr=5.5142e-05) (hash(x)=162947470)
68
+ 2200 val loss 6.1192
69
+ 2200 val perplexity 454.4800
70
+ 2200 train 6.321251 (lr=5.4537e-05) (hash(x)=154954810)
71
+ 2300 val loss 6.0971
72
+ 2300 val perplexity 444.5767
73
+ 2300 train 6.072069 (lr=5.3902e-05) (hash(x)=151878111)
74
+ 2400 val loss 6.0779
75
+ 2400 val perplexity 436.0949
76
+ 2400 train 5.980672 (lr=5.3236e-05) (hash(x)=158661057)
77
+ 2500 val loss 6.0451
78
+ 2500 val perplexity 422.0493
79
+ 2500 train 6.070344 (lr=5.2541e-05) (hash(x)=150925584)
80
+ 2600 val loss 6.0258
81
+ 2600 val perplexity 413.9886
82
+ 2600 train 5.940624 (lr=5.1817e-05) (hash(x)=144515755)
83
+ 2700 val loss 6.0047
84
+ 2700 val perplexity 405.3316
85
+ 2700 train 5.989003 (lr=5.1067e-05) (hash(x)=153109144)
86
+ 2800 val loss 5.9778
87
+ 2800 val perplexity 394.5779
88
+ 2800 train 5.888316 (lr=5.0290e-05) (hash(x)=151152897)
89
+ 2900 val loss 5.9601
90
+ 2900 val perplexity 387.6386
91
+ 2900 train 5.905348 (lr=4.9487e-05) (hash(x)=145800210)
92
+ 3000 val loss 5.9444
93
+ 3000 val perplexity 381.6084
94
+ 3000 train 5.756807 (lr=4.8662e-05) (hash(x)=141997485)
95
+ 3100 val loss 5.9257
96
+ 3100 val perplexity 374.5420
97
+ 3100 train 5.849598 (lr=4.7813e-05) (hash(x)=154049740)
98
+ 3200 val loss 5.9004
99
+ 3200 val perplexity 365.1790
100
+ 3200 train 5.827687 (lr=4.6943e-05) (hash(x)=150471842)
101
+ 3300 val loss 5.8913
102
+ 3300 val perplexity 361.8876
103
+ 3300 train 5.839287 (lr=4.6052e-05) (hash(x)=149048126)
104
+ 3400 val loss 5.8647
105
+ 3400 val perplexity 352.3678
106
+ 3400 train 5.989864 (lr=4.5143e-05) (hash(x)=161261339)
107
+ 3500 val loss 5.8504
108
+ 3500 val perplexity 347.3798
109
+ 3500 train 5.810623 (lr=4.4216e-05) (hash(x)=157495564)
110
+ 3600 val loss 5.8381
111
+ 3600 val perplexity 343.1161
112
+ 3600 train 5.751511 (lr=4.3273e-05) (hash(x)=144352932)
113
+ 3700 val loss 5.8167
114
+ 3700 val perplexity 335.8481
115
+ 3700 train 5.782929 (lr=4.2315e-05) (hash(x)=149389012)
116
+ 3800 val loss 5.7984
117
+ 3800 val perplexity 329.7632
118
+ 3800 train 5.741716 (lr=4.1343e-05) (hash(x)=146607620)
119
+ 3900 val loss 5.7860
120
+ 3900 val perplexity 325.7057
121
+ 3900 train 5.700026 (lr=4.0360e-05) (hash(x)=143754617)
122
+ 4000 val loss 5.7704
123
+ 4000 val perplexity 320.6554
124
+ 4000 train 5.739624 (lr=3.9365e-05) (hash(x)=156930722)
125
+ 4100 val loss 5.7582
126
+ 4100 val perplexity 316.7666
127
+ 4100 train 5.593564 (lr=3.8362e-05) (hash(x)=147500519)
128
+ 4200 val loss 5.7446
129
+ 4200 val perplexity 312.4859
130
+ 4200 train 5.583457 (lr=3.7351e-05) (hash(x)=143232237)
131
+ 4300 val loss 5.7327
132
+ 4300 val perplexity 308.8044
133
+ 4300 train 5.638025 (lr=3.6333e-05) (hash(x)=146811670)
134
+ 4400 val loss 5.7176
135
+ 4400 val perplexity 304.1682
136
+ 4400 train 5.749782 (lr=3.5311e-05) (hash(x)=158418746)
137
+ 4500 val loss 5.7106
138
+ 4500 val perplexity 302.0473
139
+ 4500 train 5.676314 (lr=3.4285e-05) (hash(x)=156695778)
140
+ 4600 val loss 5.6956
141
+ 4600 val perplexity 297.5486
142
+ 4600 train 5.706344 (lr=3.3257e-05) (hash(x)=147791497)
143
+ 4700 val loss 5.6819
144
+ 4700 val perplexity 293.5062
145
+ 4700 train 5.575708 (lr=3.2229e-05) (hash(x)=155533088)
146
+ 4800 val loss 5.6756
147
+ 4800 val perplexity 291.6633
148
+ 4800 train 5.531428 (lr=3.1202e-05) (hash(x)=138350044)
149
+ 4900 val loss 5.6626
150
+ 4900 val perplexity 287.9030
151
+ 4900 train 5.649870 (lr=3.0178e-05) (hash(x)=143735284)
152
+ 5000 val loss 5.6509
153
+ 5000 val perplexity 284.5386
154
+ 5000 train 5.603555 (lr=2.9157e-05) (hash(x)=154976463)
155
+ 5100 val loss 5.6497
156
+ 5100 val perplexity 284.1965
157
+ 5100 train 5.533969 (lr=2.8143e-05) (hash(x)=149894982)
158
+ 5200 val loss 5.6381
159
+ 5200 val perplexity 280.9320
160
+ 5200 train 5.412635 (lr=2.7135e-05) (hash(x)=159326689)
161
+ 5300 val loss 5.6300
162
+ 5300 val perplexity 278.6674
163
+ 5300 train 5.643821 (lr=2.6136e-05) (hash(x)=159484800)
164
+ 5400 val loss 5.6156
165
+ 5400 val perplexity 274.6644
166
+ 5400 train 5.522407 (lr=2.5147e-05) (hash(x)=140385615)
167
+ 5500 val loss 5.6077
168
+ 5500 val perplexity 272.5098
169
+ 5500 train 5.436176 (lr=2.4169e-05) (hash(x)=148498335)
170
+ 5600 val loss 5.6077
171
+ 5600 val perplexity 272.5115
172
+ 5600 train 5.349473 (lr=2.3204e-05) (hash(x)=151907614)
173
+ 5700 val loss 5.5970
174
+ 5700 val perplexity 269.6220
175
+ 5700 train 5.567425 (lr=2.2253e-05) (hash(x)=155192267)
176
+ 5800 val loss 5.5849
177
+ 5800 val perplexity 266.3655
178
+ 5800 train 5.635519 (lr=2.1318e-05) (hash(x)=153132158)
179
+ 5900 val loss 5.5835
180
+ 5900 val perplexity 265.9950
181
+ 5900 train 5.555301 (lr=2.0400e-05) (hash(x)=161446764)
182
+ 6000 val loss 5.5777
183
+ 6000 val perplexity 264.4673
184
+ 6000 train 5.361888 (lr=1.9500e-05) (hash(x)=151512446)
185
+ 6100 val loss 5.5663
186
+ 6100 val perplexity 261.4657
187
+ 6100 train 5.658627 (lr=1.8620e-05) (hash(x)=188094053)
188
+ 6200 val loss 5.5557
189
+ 6200 val perplexity 258.7140
190
+ 6200 train 5.433425 (lr=1.7760e-05) (hash(x)=149389789)
191
+ 6300 val loss 5.5506
192
+ 6300 val perplexity 257.3858
193
+ 6300 train 5.367990 (lr=1.6923e-05) (hash(x)=138212820)
194
+ 6400 val loss 5.5488
195
+ 6400 val perplexity 256.9208
196
+ 6400 train 5.334530 (lr=1.6108e-05) (hash(x)=146535423)
197
+ 6500 val loss 5.5397
198
+ 6500 val perplexity 254.6079
199
+ 6500 train 5.409243 (lr=1.5319e-05) (hash(x)=145950843)
200
+ 6600 val loss 5.5365
201
+ 6600 val perplexity 253.7826
202
+ 6600 train 5.443093 (lr=1.4555e-05) (hash(x)=141162902)
203
+ 6700 val loss 5.5333
204
+ 6700 val perplexity 252.9709
205
+ 6700 train 5.449463 (lr=1.3817e-05) (hash(x)=153018737)
206
+ 6800 val loss 5.5259
207
+ 6800 val perplexity 251.1181
208
+ 6800 train 5.435163 (lr=1.3108e-05) (hash(x)=155640155)
209
+ 6900 val loss 5.5232
210
+ 6900 val perplexity 250.4237
211
+ 6900 train 5.494747 (lr=1.2427e-05) (hash(x)=153722115)
212
+ 7000 val loss 5.5155
213
+ 7000 val perplexity 248.5069
214
+ 7000 train 5.431949 (lr=1.1777e-05) (hash(x)=146953450)
215
+ 7100 val loss 5.5169
216
+ 7100 val perplexity 248.8593
217
+ 7100 train 5.365694 (lr=1.1157e-05) (hash(x)=137663885)
218
+ 7200 val loss 5.5062
219
+ 7200 val perplexity 246.2229
220
+ 7200 train 5.588296 (lr=1.0568e-05) (hash(x)=146172950)
221
+ 7300 val loss 5.5022
222
+ 7300 val perplexity 245.2201
223
+ 7300 train 5.388580 (lr=1.0012e-05) (hash(x)=150018163)
224
+ 7400 val loss 5.4998
225
+ 7400 val perplexity 244.6358
226
+ 7400 train 5.517736 (lr=9.4899e-06) (hash(x)=145351166)
227
+ 7500 val loss 5.5001
228
+ 7500 val perplexity 244.7241
229
+ 7500 train 5.276795 (lr=9.0014e-06) (hash(x)=145292116)
230
+ 7600 val loss 5.4925
231
+ 7600 val perplexity 242.8609
232
+ 7600 train 5.412445 (lr=8.5478e-06) (hash(x)=150235132)
233
+ 7700 val loss 5.4889
234
+ 7700 val perplexity 241.9937
235
+ 7700 train 5.387060 (lr=8.1297e-06) (hash(x)=154543455)
236
+ 7800 val loss 5.4877
237
+ 7800 val perplexity 241.7115
238
+ 7800 train 5.389268 (lr=7.7476e-06) (hash(x)=142456852)
239
+ 7900 val loss 5.4883
240
+ 7900 val perplexity 241.8375
241
+ 7900 train 5.262912 (lr=7.4021e-06) (hash(x)=147363479)
242
+ 8000 val loss 5.4807
243
+ 8000 val perplexity 240.0065
244
+ 8000 train 5.512944 (lr=7.0937e-06) (hash(x)=156122973)
245
+ 8100 val loss 5.4789
246
+ 8100 val perplexity 239.5800
247
+ 8100 train 5.522630 (lr=6.8229e-06) (hash(x)=156153179)
248
+ 8200 val loss 5.4765
249
+ 8200 val perplexity 238.9997
250
+ 8200 train 5.532199 (lr=6.5900e-06) (hash(x)=146430698)
251
+ 8300 val loss 5.4750
252
+ 8300 val perplexity 238.6505
253
+ 8300 train 5.345642 (lr=6.3954e-06) (hash(x)=143507257)
254
+ 8400 val loss 5.4696
255
+ 8400 val perplexity 237.3676
256
+ 8400 train 5.448027 (lr=6.2395e-06) (hash(x)=166272643)
257
+ 8500 val loss 5.4683
258
+ 8500 val perplexity 237.0685
259
+ 8500 train 5.377180 (lr=6.1223e-06) (hash(x)=143887848)
260
+ 8600 val loss 5.4685
261
+ 8600 val perplexity 237.1143
262
+ 8600 train 5.497317 (lr=6.0440e-06) (hash(x)=156900341)
263
+ 8700 val loss 5.4631
264
+ 8700 val perplexity 235.8200
265
+ 8700 train 5.699231 (lr=6.0049e-06) (hash(x)=146417632)
266
+ 8749 val loss 5.4630
267
+ 8749 val perplexity 235.8106
lr6e-5_total_batch_size61440_baseline_seed1339/model_08749.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f188a713ea40200ac4ca85dc1d82bf92556e91399b18dcacb2cc5204603dede9
3
+ size 92843394
lr6e-5_total_batch_size61440_baseline_seed1339/optimizer_08749.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9eda9d71b255206a809f36baa6d1b5ca98af40cf9797504040890c078386df5b
3
+ size 179406214