andrew-healey commited on
Commit
4ef2375
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verified ·
1 Parent(s): 8d0ef08

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two_masks_shared_1_head/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "allowing_more_selection_patterns/two_masks_shared_1_head", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 768, "head_dim": 64, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": null, "warmup_steps": null, "group": "allowing_more_selection_patterns", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1337, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "n_sliced_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": null, "batch_size": 4, "total_batch_size": null, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": 2, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": false, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": null, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": null}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "allowing_more_selection_patterns/two_masks_shared_1_head", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 768, "head_dim": 64, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": null, "warmup_steps": null, "group": "allowing_more_selection_patterns", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "n_sliced_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": null, "batch_size": 4, "total_batch_size": null, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": 2, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": false, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": null, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": null}
two_masks_shared_1_head/log2.txt CHANGED
@@ -1,303 +1,303 @@
1
  max_steps: 2500
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- 0 val loss 11.0522
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- 0 val perplexity 63080.1992
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- 100 val loss 7.4653
15
- 100 val perplexity 1746.4028
16
- 100 train 7.416183 (lr=8.4755e-05) (hash(x)=17468914)
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- 110 train 7.220499 (lr=9.3147e-05) (hash(x)=20421520)
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- 200 val loss 6.3835
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- 200 val perplexity 592.0068
28
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- 210 train 6.176318 (lr=1.7706e-04) (hash(x)=21428681)
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- 290 train 5.774846 (lr=2.4420e-04) (hash(x)=17900252)
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- 300 val loss 5.8051
39
- 300 val perplexity 331.9947
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- 300 train 5.650853 (lr=2.5259e-04) (hash(x)=19073819)
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- 310 train 5.827680 (lr=2.6098e-04) (hash(x)=22378232)
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- 400 val loss 5.3747
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- 400 val perplexity 215.8802
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- 400 train 5.400533 (lr=3.3650e-04) (hash(x)=21789426)
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- 410 train 5.304148 (lr=3.4490e-04) (hash(x)=18366401)
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- 500 val loss 5.0225
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- 500 val perplexity 151.7935
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- 500 train 4.956991 (lr=4.2042e-04) (hash(x)=20921874)
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- 600 val loss 4.6399
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- 600 val perplexity 103.5357
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- 700 val loss 4.3671
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- 700 val perplexity 78.8165
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- 700 train 4.372666 (lr=5.8825e-04) (hash(x)=19783143)
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- 800 val loss 4.1793
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- 800 val perplexity 65.3211
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- 800 train 4.132425 (lr=5.9698e-04) (hash(x)=22321504)
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- 890 train 4.075308 (lr=5.8729e-04) (hash(x)=18871567)
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- 900 val loss 4.0451
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- 900 val perplexity 57.1184
112
- 900 train 4.022658 (lr=5.8581e-04) (hash(x)=20924720)
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- 910 train 3.935108 (lr=5.8425e-04) (hash(x)=21163464)
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- 990 train 3.993262 (lr=5.6899e-04) (hash(x)=20690802)
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- 1000 val loss 3.9449
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- 1000 val perplexity 51.6737
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- 1000 train 3.866000 (lr=5.6674e-04) (hash(x)=18635877)
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- 1010 train 3.973155 (lr=5.6442e-04) (hash(x)=21141462)
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- 1080 train 3.884538 (lr=5.4618e-04) (hash(x)=20071304)
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- 1090 train 3.840072 (lr=5.4330e-04) (hash(x)=19339656)
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- 1100 val loss 3.8676
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- 1100 val perplexity 47.8297
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- 1100 train 3.832666 (lr=5.4035e-04) (hash(x)=20039628)
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- 1110 train 3.890791 (lr=5.3734e-04) (hash(x)=19249691)
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- 1170 train 3.878023 (lr=5.1796e-04) (hash(x)=17148204)
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- 1180 train 3.788407 (lr=5.1452e-04) (hash(x)=19511852)
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- 1190 train 3.765954 (lr=5.1102e-04) (hash(x)=19352862)
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- 1200 val loss 3.7932
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- 1200 val perplexity 44.3961
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- 1200 train 3.706720 (lr=5.0746e-04) (hash(x)=19530144)
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- 1210 train 3.881899 (lr=5.0386e-04) (hash(x)=19897392)
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- 1300 val loss 3.7383
159
- 1300 val perplexity 42.0261
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- 1300 train 3.811040 (lr=4.6909e-04) (hash(x)=19003947)
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- 1400 val loss 3.6897
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- 1400 val perplexity 40.0328
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- 1400 train 3.619301 (lr=4.2643e-04) (hash(x)=20146496)
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- 1500 val loss 3.6399
183
- 1500 val perplexity 38.0881
184
- 1500 train 3.563986 (lr=3.8078e-04) (hash(x)=14693370)
185
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186
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188
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193
- 1590 train 3.569774 (lr=3.3831e-04) (hash(x)=18690939)
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- 1600 val loss 3.6051
195
- 1600 val perplexity 36.7853
196
- 1600 train 3.581419 (lr=3.3356e-04) (hash(x)=16719886)
197
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205
- 1690 train 3.607218 (lr=2.9093e-04) (hash(x)=22122534)
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- 1700 val loss 3.5739
207
- 1700 val perplexity 35.6544
208
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209
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217
- 1790 train 3.578063 (lr=2.4476e-04) (hash(x)=21814060)
218
- 1800 val loss 3.5471
219
- 1800 val perplexity 34.7117
220
- 1800 train 3.566007 (lr=2.4026e-04) (hash(x)=18076243)
221
- 1810 train 3.556169 (lr=2.3580e-04) (hash(x)=19721209)
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229
- 1890 train 3.485482 (lr=2.0122e-04) (hash(x)=20612962)
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- 1900 val loss 3.5233
231
- 1900 val perplexity 33.8949
232
- 1900 train 3.577407 (lr=1.9706e-04) (hash(x)=20421058)
233
- 1910 train 3.551716 (lr=1.9295e-04) (hash(x)=18554808)
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- 1940 train 3.488195 (lr=1.8086e-04) (hash(x)=21665511)
237
- 1950 train 3.513012 (lr=1.7692e-04) (hash(x)=22038489)
238
- 1960 train 3.484293 (lr=1.7303e-04) (hash(x)=18896956)
239
- 1970 train 3.512303 (lr=1.6919e-04) (hash(x)=20408383)
240
- 1980 train 3.495337 (lr=1.6540e-04) (hash(x)=23039940)
241
- 1990 train 3.628411 (lr=1.6166e-04) (hash(x)=20631172)
242
- 2000 val loss 3.5039
243
- 2000 val perplexity 33.2435
244
- 2000 train 3.442245 (lr=1.5797e-04) (hash(x)=20206106)
245
- 2010 train 3.536399 (lr=1.5433e-04) (hash(x)=21864020)
246
- 2020 train 3.519025 (lr=1.5075e-04) (hash(x)=21391128)
247
- 2030 train 3.486156 (lr=1.4723e-04) (hash(x)=18676636)
248
- 2040 train 3.532384 (lr=1.4376e-04) (hash(x)=15987134)
249
- 2050 train 3.525572 (lr=1.4035e-04) (hash(x)=23940769)
250
- 2060 train 3.502497 (lr=1.3699e-04) (hash(x)=17152840)
251
- 2070 train 3.471947 (lr=1.3370e-04) (hash(x)=22958445)
252
- 2080 train 3.523313 (lr=1.3047e-04) (hash(x)=23616724)
253
- 2090 train 3.494230 (lr=1.2730e-04) (hash(x)=16571283)
254
  2100 val loss 3.4820
255
- 2100 val perplexity 32.5238
256
- 2100 train 3.491362 (lr=1.2419e-04) (hash(x)=19070327)
257
- 2110 train 3.535779 (lr=1.2115e-04) (hash(x)=20758626)
258
- 2120 train 3.479458 (lr=1.1817e-04) (hash(x)=18397810)
259
- 2130 train 3.471737 (lr=1.1525e-04) (hash(x)=18045234)
260
- 2140 train 3.574210 (lr=1.1241e-04) (hash(x)=18969565)
261
- 2150 train 3.509843 (lr=1.0963e-04) (hash(x)=17149701)
262
- 2160 train 3.429842 (lr=1.0692e-04) (hash(x)=23075443)
263
- 2170 train 3.465482 (lr=1.0427e-04) (hash(x)=17977337)
264
- 2180 train 3.525461 (lr=1.0170e-04) (hash(x)=20657407)
265
- 2190 train 3.511199 (lr=9.9199e-05) (hash(x)=19985933)
266
- 2200 val loss 3.4672
267
- 2200 val perplexity 32.0459
268
- 2200 train 3.464933 (lr=9.6769e-05) (hash(x)=19025387)
269
- 2210 train 3.482505 (lr=9.4412e-05) (hash(x)=23318724)
270
- 2220 train 3.553313 (lr=9.2127e-05) (hash(x)=19308039)
271
- 2230 train 3.397718 (lr=8.9916e-05) (hash(x)=20733682)
272
- 2240 train 3.494338 (lr=8.7779e-05) (hash(x)=18519560)
273
- 2250 train 3.498209 (lr=8.5717e-05) (hash(x)=20299444)
274
- 2260 train 3.455821 (lr=8.3731e-05) (hash(x)=18819615)
275
- 2270 train 3.490780 (lr=8.1821e-05) (hash(x)=18743705)
276
- 2280 train 3.474558 (lr=7.9988e-05) (hash(x)=17190793)
277
- 2290 train 3.510101 (lr=7.8232e-05) (hash(x)=23126906)
278
- 2300 val loss 3.4553
279
- 2300 val perplexity 31.6677
280
- 2300 train 3.444954 (lr=7.6555e-05) (hash(x)=24812267)
281
- 2310 train 3.427062 (lr=7.4956e-05) (hash(x)=20147105)
282
- 2320 train 3.543566 (lr=7.3436e-05) (hash(x)=24619936)
283
- 2330 train 3.408771 (lr=7.1995e-05) (hash(x)=17730658)
284
- 2340 train 3.384672 (lr=7.0635e-05) (hash(x)=19345731)
285
- 2350 train 3.424534 (lr=6.9354e-05) (hash(x)=26415058)
286
- 2360 train 3.455724 (lr=6.8155e-05) (hash(x)=18622999)
287
- 2370 train 3.392233 (lr=6.7036e-05) (hash(x)=18848567)
288
- 2380 train 3.472850 (lr=6.5999e-05) (hash(x)=21903360)
289
- 2390 train 3.487927 (lr=6.5044e-05) (hash(x)=23479216)
290
- 2400 val loss 3.4462
291
- 2400 val perplexity 31.3810
292
- 2400 train 3.483463 (lr=6.4171e-05) (hash(x)=19762013)
293
- 2410 train 3.389079 (lr=6.3380e-05) (hash(x)=20622912)
294
- 2420 train 3.504714 (lr=6.2672e-05) (hash(x)=17669226)
295
- 2430 train 3.433876 (lr=6.2046e-05) (hash(x)=19536719)
296
- 2440 train 3.376764 (lr=6.1504e-05) (hash(x)=19913725)
297
- 2450 train 3.419426 (lr=6.1045e-05) (hash(x)=20782072)
298
- 2460 train 3.390014 (lr=6.0669e-05) (hash(x)=19795002)
299
- 2470 train 3.435155 (lr=6.0376e-05) (hash(x)=17003051)
300
- 2480 train 3.404618 (lr=6.0167e-05) (hash(x)=21414190)
301
- 2490 train 3.448616 (lr=6.0042e-05) (hash(x)=20943620)
302
- 2499 val loss 3.4412
303
- 2499 val perplexity 31.2248
 
1
  max_steps: 2500
2
+ 0 val loss 10.9488
3
+ 0 val perplexity 56887.5898
4
+ 0 train 10.951686 (lr=8.3916e-07) (hash(x)=17183924)
5
+ 10 train 10.135524 (lr=9.2308e-06) (hash(x)=19047484)
6
+ 20 train 9.673862 (lr=1.7622e-05) (hash(x)=20001614)
7
+ 30 train 9.445292 (lr=2.6014e-05) (hash(x)=21278543)
8
+ 40 train 9.199447 (lr=3.4406e-05) (hash(x)=29208111)
9
+ 50 train 8.886049 (lr=4.2797e-05) (hash(x)=20801292)
10
+ 60 train 8.546229 (lr=5.1189e-05) (hash(x)=27442073)
11
+ 70 train 8.178991 (lr=5.9580e-05) (hash(x)=19918406)
12
+ 80 train 7.815042 (lr=6.7972e-05) (hash(x)=20569806)
13
+ 90 train 7.704312 (lr=7.6364e-05) (hash(x)=26013441)
14
+ 100 val loss 7.4804
15
+ 100 val perplexity 1772.9517
16
+ 100 train 7.454827 (lr=8.4755e-05) (hash(x)=29039793)
17
+ 110 train 7.284087 (lr=9.3147e-05) (hash(x)=16550842)
18
+ 120 train 7.125364 (lr=1.0154e-04) (hash(x)=17250570)
19
+ 130 train 7.142025 (lr=1.0993e-04) (hash(x)=17154654)
20
+ 140 train 7.005312 (lr=1.1832e-04) (hash(x)=22437415)
21
+ 150 train 6.937147 (lr=1.2671e-04) (hash(x)=18645582)
22
+ 160 train 6.682060 (lr=1.3510e-04) (hash(x)=19460261)
23
+ 170 train 6.518916 (lr=1.4350e-04) (hash(x)=20953331)
24
+ 180 train 6.617326 (lr=1.5189e-04) (hash(x)=20883978)
25
+ 190 train 6.475650 (lr=1.6028e-04) (hash(x)=25571428)
26
+ 200 val loss 6.4173
27
+ 200 val perplexity 612.3538
28
+ 200 train 6.341202 (lr=1.6867e-04) (hash(x)=16049634)
29
+ 210 train 6.323199 (lr=1.7706e-04) (hash(x)=15886413)
30
+ 220 train 6.372123 (lr=1.8545e-04) (hash(x)=21731617)
31
+ 230 train 6.157201 (lr=1.9385e-04) (hash(x)=22509449)
32
+ 240 train 6.092800 (lr=2.0224e-04) (hash(x)=17396544)
33
+ 250 train 6.146547 (lr=2.1063e-04) (hash(x)=17748336)
34
+ 260 train 6.021659 (lr=2.1902e-04) (hash(x)=21263532)
35
+ 270 train 5.948525 (lr=2.2741e-04) (hash(x)=19623735)
36
+ 280 train 5.953936 (lr=2.3580e-04) (hash(x)=18337637)
37
+ 290 train 5.895530 (lr=2.4420e-04) (hash(x)=20005903)
38
+ 300 val loss 5.8078
39
+ 300 val perplexity 332.8762
40
+ 300 train 5.825626 (lr=2.5259e-04) (hash(x)=20938811)
41
+ 310 train 5.713806 (lr=2.6098e-04) (hash(x)=20688368)
42
+ 320 train 5.733479 (lr=2.6937e-04) (hash(x)=19776598)
43
+ 330 train 5.649756 (lr=2.7776e-04) (hash(x)=19721837)
44
+ 340 train 5.585549 (lr=2.8615e-04) (hash(x)=16578291)
45
+ 350 train 5.494850 (lr=2.9455e-04) (hash(x)=19998371)
46
+ 360 train 5.607419 (lr=3.0294e-04) (hash(x)=21565819)
47
+ 370 train 5.499692 (lr=3.1133e-04) (hash(x)=19484104)
48
+ 380 train 5.373439 (lr=3.1972e-04) (hash(x)=20659288)
49
+ 390 train 5.311124 (lr=3.2811e-04) (hash(x)=22061179)
50
+ 400 val loss 5.3585
51
+ 400 val perplexity 212.4125
52
+ 400 train 5.427289 (lr=3.3650e-04) (hash(x)=18557926)
53
+ 410 train 5.299348 (lr=3.4490e-04) (hash(x)=24034052)
54
+ 420 train 5.164496 (lr=3.5329e-04) (hash(x)=19768493)
55
+ 430 train 5.270503 (lr=3.6168e-04) (hash(x)=21678884)
56
+ 440 train 5.195265 (lr=3.7007e-04) (hash(x)=19589702)
57
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58
+ 460 train 5.006237 (lr=3.8685e-04) (hash(x)=18881029)
59
+ 470 train 5.112347 (lr=3.9524e-04) (hash(x)=24329185)
60
+ 480 train 5.001166 (lr=4.0364e-04) (hash(x)=18709451)
61
+ 490 train 4.981668 (lr=4.1203e-04) (hash(x)=18834705)
62
+ 500 val loss 4.9851
63
+ 500 val perplexity 146.2175
64
+ 500 train 5.022027 (lr=4.2042e-04) (hash(x)=24221098)
65
+ 510 train 4.966081 (lr=4.2881e-04) (hash(x)=20010758)
66
+ 520 train 4.950898 (lr=4.3720e-04) (hash(x)=18547084)
67
+ 530 train 4.755854 (lr=4.4559e-04) (hash(x)=18282458)
68
+ 540 train 4.898161 (lr=4.5399e-04) (hash(x)=20671087)
69
+ 550 train 4.718338 (lr=4.6238e-04) (hash(x)=18634421)
70
+ 560 train 4.665814 (lr=4.7077e-04) (hash(x)=17067920)
71
+ 570 train 4.803200 (lr=4.7916e-04) (hash(x)=22276881)
72
+ 580 train 4.702220 (lr=4.8755e-04) (hash(x)=22973651)
73
+ 590 train 4.670744 (lr=4.9594e-04) (hash(x)=18096900)
74
+ 600 val loss 4.5845
75
+ 600 val perplexity 97.9530
76
+ 600 train 4.527422 (lr=5.0434e-04) (hash(x)=20617414)
77
+ 610 train 4.382463 (lr=5.1273e-04) (hash(x)=20722525)
78
+ 620 train 4.606997 (lr=5.2112e-04) (hash(x)=20785452)
79
+ 630 train 4.548081 (lr=5.2951e-04) (hash(x)=16647858)
80
+ 640 train 4.474239 (lr=5.3790e-04) (hash(x)=20798993)
81
+ 650 train 4.408963 (lr=5.4629e-04) (hash(x)=20912393)
82
+ 660 train 4.225210 (lr=5.5469e-04) (hash(x)=21505604)
83
+ 670 train 4.492852 (lr=5.6308e-04) (hash(x)=20263120)
84
+ 680 train 4.389547 (lr=5.7147e-04) (hash(x)=20779495)
85
+ 690 train 4.297709 (lr=5.7986e-04) (hash(x)=16555678)
86
+ 700 val loss 4.3320
87
+ 700 val perplexity 76.0999
88
+ 700 train 4.155384 (lr=5.8825e-04) (hash(x)=20156261)
89
+ 710 train 4.126278 (lr=5.9664e-04) (hash(x)=17064702)
90
+ 720 train 4.341045 (lr=5.9999e-04) (hash(x)=19321113)
91
+ 730 train 4.295744 (lr=5.9991e-04) (hash(x)=19738613)
92
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93
+ 750 train 4.109127 (lr=5.9949e-04) (hash(x)=18605696)
94
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95
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96
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97
+ 790 train 4.215418 (lr=5.9765e-04) (hash(x)=19202751)
98
+ 800 val loss 4.1635
99
+ 800 val perplexity 64.2947
100
+ 800 train 4.222058 (lr=5.9698e-04) (hash(x)=22502753)
101
+ 810 train 4.190634 (lr=5.9623e-04) (hash(x)=20197889)
102
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103
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104
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105
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106
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107
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108
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109
+ 890 train 4.088262 (lr=5.8729e-04) (hash(x)=21094646)
110
+ 900 val loss 4.0193
111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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121
+ 990 train 3.963059 (lr=5.6899e-04) (hash(x)=18628956)
122
+ 1000 val loss 3.9232
123
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124
+ 1000 train 3.900304 (lr=5.6674e-04) (hash(x)=22968748)
125
+ 1010 train 3.885020 (lr=5.6442e-04) (hash(x)=20541414)
126
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127
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128
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129
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130
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131
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132
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133
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134
+ 1100 val loss 3.8371
135
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136
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137
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138
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139
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140
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141
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142
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143
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144
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145
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146
+ 1200 val loss 3.7737
147
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148
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149
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150
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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168
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169
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170
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172
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173
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181
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182
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184
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185
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194
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195
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196
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197
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