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12_head_baseline_lr_30e-4_head_dim_22_fixed/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "logs/repro_selective_pattern_rankings/12_head_baseline_lr_30e-4_head_dim_22_fixed", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 264, "head_dim": 22, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 4375, "warmup_steps": 250, "group": "repro_selective_pattern_rankings", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1341, "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": 64, "total_batch_size": 131072, "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": 0.003, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "12_head_baseline_lr_30e-4_fixed"}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "logs/repro_selective_pattern_rankings/12_head_baseline_lr_30e-4_head_dim_22_fixed", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 264, "head_dim": 22, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 4375, "warmup_steps": 250, "group": "repro_selective_pattern_rankings", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1340, "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": 64, "total_batch_size": 131072, "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": 0.003, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "12_head_baseline_lr_30e-4_fixed"}
12_head_baseline_lr_30e-4_head_dim_22_fixed/log2.txt CHANGED
@@ -1,529 +1,529 @@
1
  max_steps: 4375
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- 0 val loss 11.3009
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- 0 val perplexity 80893.6016
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- 900 val loss 4.6745
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- 1000 val loss 4.5702
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- 1100 val loss 4.5183
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- 1100 val perplexity 91.6806
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- 1190 train 4.390070 (lr=2.8893e-03) (hash(x)=85140216)
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- 1200 val loss 4.4382
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- 1200 val perplexity 84.6258
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- 1300 val loss 4.4099
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- 1500 val loss 4.3446
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- 1500 val perplexity 77.0579
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- 1600 val loss 4.3247
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- 1600 val perplexity 75.5454
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- 1700 val loss 4.2758
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- 1800 val loss 4.2690
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- 1900 val loss 4.2473
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- 1910 train 4.220722 (lr=2.3499e-03) (hash(x)=80865794)
234
- 1920 train 4.187029 (lr=2.3400e-03) (hash(x)=79368476)
235
- 1930 train 4.189737 (lr=2.3300e-03) (hash(x)=79247868)
236
- 1940 train 4.136442 (lr=2.3200e-03) (hash(x)=72845520)
237
- 1950 train 4.153883 (lr=2.3099e-03) (hash(x)=83254637)
238
- 1960 train 4.095679 (lr=2.2998e-03) (hash(x)=81975531)
239
- 1970 train 4.189250 (lr=2.2896e-03) (hash(x)=72939168)
240
- 1980 train 4.081371 (lr=2.2793e-03) (hash(x)=82280940)
241
- 1990 train 4.066816 (lr=2.2691e-03) (hash(x)=78119475)
242
- 2000 val loss 4.2258
243
- 2000 val perplexity 68.4315
244
- 2000 train 4.100414 (lr=2.2588e-03) (hash(x)=83046712)
245
- 2010 train 4.154689 (lr=2.2484e-03) (hash(x)=73468195)
246
- 2020 train 4.094000 (lr=2.2380e-03) (hash(x)=74809817)
247
- 2030 train 4.083929 (lr=2.2275e-03) (hash(x)=76037020)
248
- 2040 train 4.312176 (lr=2.2170e-03) (hash(x)=79058361)
249
- 2050 train 4.197538 (lr=2.2065e-03) (hash(x)=85014027)
250
- 2060 train 4.182892 (lr=2.1959e-03) (hash(x)=78616227)
251
- 2070 train 4.153384 (lr=2.1853e-03) (hash(x)=75928855)
252
- 2080 train 4.247360 (lr=2.1746e-03) (hash(x)=87553274)
253
- 2090 train 4.154814 (lr=2.1639e-03) (hash(x)=79805596)
254
- 2100 val loss 4.2046
255
- 2100 val perplexity 66.9959
256
- 2100 train 4.023323 (lr=2.1532e-03) (hash(x)=71523881)
257
- 2110 train 4.164555 (lr=2.1424e-03) (hash(x)=78431736)
258
- 2120 train 4.059747 (lr=2.1316e-03) (hash(x)=76846294)
259
- 2130 train 4.093466 (lr=2.1208e-03) (hash(x)=72808367)
260
- 2140 train 3.909236 (lr=2.1099e-03) (hash(x)=71871519)
261
- 2150 train 4.037587 (lr=2.0990e-03) (hash(x)=79598530)
262
- 2160 train 4.098495 (lr=2.0881e-03) (hash(x)=81709468)
263
- 2170 train 4.072194 (lr=2.0771e-03) (hash(x)=74075345)
264
- 2180 train 4.226996 (lr=2.0661e-03) (hash(x)=79292886)
265
- 2190 train 4.165350 (lr=2.0550e-03) (hash(x)=84316039)
266
- 2200 val loss 4.1946
267
- 2200 val perplexity 66.3280
268
- 2200 train 4.236015 (lr=2.0440e-03) (hash(x)=84083188)
269
- 2210 train 4.157927 (lr=2.0329e-03) (hash(x)=87482474)
270
- 2220 train 4.252763 (lr=2.0217e-03) (hash(x)=73018507)
271
- 2230 train 4.136269 (lr=2.0106e-03) (hash(x)=80194063)
272
- 2240 train 4.042352 (lr=1.9994e-03) (hash(x)=70761174)
273
- 2250 train 4.098277 (lr=1.9882e-03) (hash(x)=78296069)
274
- 2260 train 4.069524 (lr=1.9770e-03) (hash(x)=71486863)
275
- 2270 train 4.081946 (lr=1.9657e-03) (hash(x)=73106274)
276
- 2280 train 4.033814 (lr=1.9544e-03) (hash(x)=65724504)
277
- 2290 train 4.154279 (lr=1.9431e-03) (hash(x)=77464207)
278
- 2300 val loss 4.1890
279
- 2300 val perplexity 65.9539
280
- 2300 train 4.297091 (lr=1.9318e-03) (hash(x)=79718531)
281
- 2310 train 4.166912 (lr=1.9205e-03) (hash(x)=79578564)
282
- 2320 train 4.088995 (lr=1.9091e-03) (hash(x)=77538251)
283
- 2330 train 4.202308 (lr=1.8977e-03) (hash(x)=77684942)
284
- 2340 train 4.166969 (lr=1.8863e-03) (hash(x)=74747888)
285
- 2350 train 4.108972 (lr=1.8749e-03) (hash(x)=88812932)
286
- 2360 train 4.098439 (lr=1.8635e-03) (hash(x)=77049145)
287
- 2370 train 3.929385 (lr=1.8520e-03) (hash(x)=76636845)
288
- 2380 train 4.004626 (lr=1.8406e-03) (hash(x)=79589860)
289
- 2390 train 4.035613 (lr=1.8291e-03) (hash(x)=73694984)
290
- 2400 val loss 4.1554
291
- 2400 val perplexity 63.7763
292
- 2400 train 4.084911 (lr=1.8176e-03) (hash(x)=76483417)
293
- 2410 train 4.088894 (lr=1.8061e-03) (hash(x)=81534661)
294
- 2420 train 4.170053 (lr=1.7946e-03) (hash(x)=90012063)
295
- 2430 train 4.099506 (lr=1.7830e-03) (hash(x)=78359537)
296
- 2440 train 4.204530 (lr=1.7715e-03) (hash(x)=79027074)
297
- 2450 train 4.205441 (lr=1.7600e-03) (hash(x)=68888678)
298
- 2460 train 4.064332 (lr=1.7484e-03) (hash(x)=78596234)
299
- 2470 train 4.029956 (lr=1.7368e-03) (hash(x)=78240870)
300
- 2480 train 4.107719 (lr=1.7253e-03) (hash(x)=78765106)
301
- 2490 train 4.122521 (lr=1.7137e-03) (hash(x)=80888122)
302
- 2500 val loss 4.1370
303
- 2500 val perplexity 62.6158
304
- 2500 train 3.868010 (lr=1.7021e-03) (hash(x)=77282980)
305
- 2510 train 3.991797 (lr=1.6906e-03) (hash(x)=73932499)
306
- 2520 train 3.893639 (lr=1.6790e-03) (hash(x)=78258721)
307
- 2530 train 4.061619 (lr=1.6674e-03) (hash(x)=84237884)
308
- 2540 train 3.980431 (lr=1.6558e-03) (hash(x)=82107056)
309
- 2550 train 4.304190 (lr=1.6442e-03) (hash(x)=77739889)
310
- 2560 train 4.305715 (lr=1.6326e-03) (hash(x)=74186552)
311
- 2570 train 4.132262 (lr=1.6210e-03) (hash(x)=80473388)
312
- 2580 train 4.048244 (lr=1.6094e-03) (hash(x)=82259419)
313
- 2590 train 4.133770 (lr=1.5979e-03) (hash(x)=78413433)
314
- 2600 val loss 4.1197
315
- 2600 val perplexity 61.5383
316
- 2600 train 4.045895 (lr=1.5863e-03) (hash(x)=74502607)
317
- 2610 train 4.043626 (lr=1.5747e-03) (hash(x)=76291308)
318
- 2620 train 4.007569 (lr=1.5632e-03) (hash(x)=89544859)
319
- 2630 train 4.006664 (lr=1.5516e-03) (hash(x)=72230079)
320
- 2640 train 4.032544 (lr=1.5400e-03) (hash(x)=80712391)
321
- 2650 train 3.983006 (lr=1.5285e-03) (hash(x)=81110141)
322
- 2660 train 4.059503 (lr=1.5170e-03) (hash(x)=73706547)
323
- 2670 train 3.973346 (lr=1.5054e-03) (hash(x)=75978602)
324
- 2680 train 4.048762 (lr=1.4939e-03) (hash(x)=77181602)
325
- 2690 train 3.961176 (lr=1.4824e-03) (hash(x)=73503073)
326
- 2700 val loss 4.1081
327
- 2700 val perplexity 60.8335
328
- 2700 train 4.015653 (lr=1.4709e-03) (hash(x)=76450620)
329
- 2710 train 4.104738 (lr=1.4594e-03) (hash(x)=82384092)
330
- 2720 train 4.094800 (lr=1.4480e-03) (hash(x)=78992460)
331
- 2730 train 4.096491 (lr=1.4365e-03) (hash(x)=89640628)
332
- 2740 train 4.068956 (lr=1.4251e-03) (hash(x)=78958333)
333
- 2750 train 4.098755 (lr=1.4137e-03) (hash(x)=75231323)
334
- 2760 train 4.049979 (lr=1.4023e-03) (hash(x)=80141789)
335
- 2770 train 3.971216 (lr=1.3909e-03) (hash(x)=78041972)
336
- 2780 train 4.094885 (lr=1.3795e-03) (hash(x)=78824636)
337
- 2790 train 3.914609 (lr=1.3682e-03) (hash(x)=88495681)
338
- 2800 val loss 4.0907
339
- 2800 val perplexity 59.7837
340
- 2800 train 3.968028 (lr=1.3569e-03) (hash(x)=70894085)
341
- 2810 train 3.905442 (lr=1.3456e-03) (hash(x)=80942795)
342
- 2820 train 3.923177 (lr=1.3343e-03) (hash(x)=80086512)
343
- 2830 train 3.899423 (lr=1.3230e-03) (hash(x)=76162076)
344
- 2840 train 4.040043 (lr=1.3118e-03) (hash(x)=92909437)
345
- 2850 train 4.177738 (lr=1.3006e-03) (hash(x)=82192377)
346
- 2860 train 4.001718 (lr=1.2894e-03) (hash(x)=79981204)
347
- 2870 train 4.071570 (lr=1.2783e-03) (hash(x)=86642658)
348
- 2880 train 4.016573 (lr=1.2671e-03) (hash(x)=73934349)
349
- 2890 train 4.124953 (lr=1.2560e-03) (hash(x)=81104933)
350
- 2900 val loss 4.0725
351
- 2900 val perplexity 58.7020
352
- 2900 train 4.000626 (lr=1.2450e-03) (hash(x)=83259335)
353
- 2910 train 4.034023 (lr=1.2339e-03) (hash(x)=76528489)
354
- 2920 train 4.024301 (lr=1.2229e-03) (hash(x)=82547590)
355
- 2930 train 3.871829 (lr=1.2119e-03) (hash(x)=84692438)
356
- 2940 train 3.898985 (lr=1.2010e-03) (hash(x)=76395062)
357
- 2950 train 3.899982 (lr=1.1901e-03) (hash(x)=79351043)
358
- 2960 train 3.981853 (lr=1.1792e-03) (hash(x)=75184745)
359
- 2970 train 3.915520 (lr=1.1684e-03) (hash(x)=73888960)
360
- 2980 train 4.110643 (lr=1.1576e-03) (hash(x)=80237171)
361
- 2990 train 4.062630 (lr=1.1468e-03) (hash(x)=80090496)
362
- 3000 val loss 4.0724
363
- 3000 val perplexity 58.6951
364
- 3000 train 4.115636 (lr=1.1361e-03) (hash(x)=99715255)
365
- 3010 train 4.065180 (lr=1.1254e-03) (hash(x)=73302575)
366
- 3020 train 3.964556 (lr=1.1147e-03) (hash(x)=81162327)
367
- 3030 train 4.010807 (lr=1.1041e-03) (hash(x)=78686601)
368
- 3040 train 4.030081 (lr=1.0935e-03) (hash(x)=76186508)
369
- 3050 train 4.149834 (lr=1.0830e-03) (hash(x)=94420278)
370
- 3060 train 4.042452 (lr=1.0725e-03) (hash(x)=73930563)
371
- 3070 train 4.074058 (lr=1.0620e-03) (hash(x)=78074700)
372
- 3080 train 3.920597 (lr=1.0516e-03) (hash(x)=85521020)
373
- 3090 train 3.978158 (lr=1.0412e-03) (hash(x)=77429090)
374
- 3100 val loss 4.0463
375
- 3100 val perplexity 57.1875
376
- 3100 train 3.955230 (lr=1.0309e-03) (hash(x)=74319016)
377
- 3110 train 3.963254 (lr=1.0207e-03) (hash(x)=81856930)
378
- 3120 train 3.976446 (lr=1.0104e-03) (hash(x)=78854668)
379
- 3130 train 3.818309 (lr=1.0002e-03) (hash(x)=78558831)
380
- 3140 train 3.765047 (lr=9.9011e-04) (hash(x)=75419854)
381
- 3150 train 3.756888 (lr=9.8002e-04) (hash(x)=72645078)
382
- 3160 train 3.931385 (lr=9.6999e-04) (hash(x)=71954229)
383
- 3170 train 3.859103 (lr=9.6000e-04) (hash(x)=83944062)
384
- 3180 train 4.154417 (lr=9.5007e-04) (hash(x)=81719676)
385
- 3190 train 4.136951 (lr=9.4019e-04) (hash(x)=78117157)
386
- 3200 val loss 4.0278
387
- 3200 val perplexity 56.1352
388
- 3200 train 4.104502 (lr=9.3036e-04) (hash(x)=95062223)
389
- 3210 train 3.987017 (lr=9.2058e-04) (hash(x)=78243969)
390
- 3220 train 3.998593 (lr=9.1085e-04) (hash(x)=80840117)
391
- 3230 train 4.076189 (lr=9.0118e-04) (hash(x)=89040111)
392
- 3240 train 3.949558 (lr=8.9157e-04) (hash(x)=78018689)
393
- 3250 train 4.023832 (lr=8.8201e-04) (hash(x)=71514679)
394
- 3260 train 3.960479 (lr=8.7251e-04) (hash(x)=72142220)
395
- 3270 train 3.906598 (lr=8.6307e-04) (hash(x)=81981079)
396
- 3280 train 4.044951 (lr=8.5368e-04) (hash(x)=81221688)
397
- 3290 train 3.934371 (lr=8.4435e-04) (hash(x)=84425616)
398
- 3300 val loss 4.0132
399
- 3300 val perplexity 55.3244
400
- 3300 train 3.951565 (lr=8.3508e-04) (hash(x)=85200306)
401
- 3310 train 3.930038 (lr=8.2588e-04) (hash(x)=90538542)
402
- 3320 train 3.799381 (lr=8.1673e-04) (hash(x)=75045669)
403
- 3330 train 3.704250 (lr=8.0764e-04) (hash(x)=91874178)
404
- 3340 train 3.724725 (lr=7.9862e-04) (hash(x)=93115709)
405
- 3350 train 3.747840 (lr=7.8966e-04) (hash(x)=80614131)
406
- 3360 train 3.776483 (lr=7.8076e-04) (hash(x)=75966518)
407
- 3370 train 3.942496 (lr=7.7192e-04) (hash(x)=52504673)
408
- 3380 train 3.995148 (lr=7.6315e-04) (hash(x)=89845158)
409
- 3390 train 4.563801 (lr=7.5445e-04) (hash(x)=84328133)
410
- 3400 val loss 4.0092
411
- 3400 val perplexity 55.1030
412
- 3400 train 4.059773 (lr=7.4581e-04) (hash(x)=84410966)
413
- 3410 train 4.000085 (lr=7.3724e-04) (hash(x)=81040312)
414
- 3420 train 4.123499 (lr=7.2874e-04) (hash(x)=80573120)
415
- 3430 train 3.902299 (lr=7.2030e-04) (hash(x)=77676972)
416
- 3440 train 3.966395 (lr=7.1193e-04) (hash(x)=86131899)
417
- 3450 train 3.981323 (lr=7.0363e-04) (hash(x)=75051359)
418
- 3460 train 3.920019 (lr=6.9541e-04) (hash(x)=78319212)
419
- 3470 train 3.970574 (lr=6.8725e-04) (hash(x)=75514502)
420
- 3480 train 3.834807 (lr=6.7916e-04) (hash(x)=84577433)
421
- 3490 train 4.004914 (lr=6.7114e-04) (hash(x)=76740859)
422
  3500 val loss 3.9920
423
- 3500 val perplexity 54.1643
424
- 3500 train 3.964571 (lr=6.6320e-04) (hash(x)=85221122)
425
- 3510 train 3.895456 (lr=6.5533e-04) (hash(x)=78373676)
426
- 3520 train 3.784452 (lr=6.4753e-04) (hash(x)=76713204)
427
- 3530 train 3.681569 (lr=6.3981e-04) (hash(x)=86885732)
428
- 3540 train 3.815947 (lr=6.3216e-04) (hash(x)=80751876)
429
- 3550 train 3.779734 (lr=6.2458e-04) (hash(x)=80092170)
430
- 3560 train 3.962914 (lr=6.1708e-04) (hash(x)=85501243)
431
- 3570 train 4.052373 (lr=6.0966e-04) (hash(x)=87853218)
432
- 3580 train 3.999134 (lr=6.0231e-04) (hash(x)=88313614)
433
- 3590 train 3.925564 (lr=5.9504e-04) (hash(x)=75521063)
434
- 3600 val loss 3.9858
435
- 3600 val perplexity 53.8265
436
- 3600 train 4.007613 (lr=5.8785e-04) (hash(x)=83721651)
437
- 3610 train 3.889624 (lr=5.8074e-04) (hash(x)=94293884)
438
- 3620 train 3.943848 (lr=5.7370e-04) (hash(x)=77296763)
439
- 3630 train 4.067281 (lr=5.6675e-04) (hash(x)=77338405)
440
- 3640 train 3.919416 (lr=5.5987e-04) (hash(x)=81223547)
441
- 3650 train 3.958375 (lr=5.5308e-04) (hash(x)=78952410)
442
- 3660 train 3.807704 (lr=5.4636e-04) (hash(x)=79846386)
443
- 3670 train 3.969377 (lr=5.3973e-04) (hash(x)=80481480)
444
- 3680 train 3.862045 (lr=5.3318e-04) (hash(x)=83821130)
445
- 3690 train 3.802406 (lr=5.2671e-04) (hash(x)=85303368)
446
- 3700 val loss 3.9716
447
- 3700 val perplexity 53.0684
448
- 3700 train 3.838234 (lr=5.2033e-04) (hash(x)=70393870)
449
- 3710 train 3.821644 (lr=5.1402e-04) (hash(x)=81014823)
450
- 3720 train 3.829165 (lr=5.0780e-04) (hash(x)=79155367)
451
- 3730 train 3.809116 (lr=5.0167e-04) (hash(x)=86979929)
452
- 3740 train 3.763271 (lr=4.9562e-04) (hash(x)=88193263)
453
- 3750 train 4.072014 (lr=4.8965e-04) (hash(x)=89853653)
454
- 3760 train 3.979692 (lr=4.8377e-04) (hash(x)=77692484)
455
- 3770 train 4.061010 (lr=4.7798e-04) (hash(x)=83300185)
456
- 3780 train 3.975704 (lr=4.7227e-04) (hash(x)=82443218)
457
- 3790 train 3.823617 (lr=4.6665e-04) (hash(x)=90032898)
458
- 3800 val loss 3.9574
459
- 3800 val perplexity 52.3231
460
- 3800 train 3.932828 (lr=4.6112e-04) (hash(x)=77605593)
461
- 3810 train 3.995205 (lr=4.5567e-04) (hash(x)=82532796)
462
- 3820 train 3.950253 (lr=4.5031e-04) (hash(x)=89648204)
463
- 3830 train 4.029373 (lr=4.4504e-04) (hash(x)=83708293)
464
- 3840 train 3.968389 (lr=4.3986e-04) (hash(x)=84336512)
465
- 3850 train 3.932840 (lr=4.3477e-04) (hash(x)=75025285)
466
- 3860 train 3.813481 (lr=4.2977e-04) (hash(x)=79436536)
467
- 3870 train 3.862545 (lr=4.2486e-04) (hash(x)=90467390)
468
- 3880 train 3.938760 (lr=4.2004e-04) (hash(x)=77292020)
469
- 3890 train 3.832536 (lr=4.1530e-04) (hash(x)=75568927)
470
- 3900 val loss 3.9578
471
- 3900 val perplexity 52.3433
472
- 3900 train 3.879727 (lr=4.1066e-04) (hash(x)=79671781)
473
- 3910 train 3.945248 (lr=4.0611e-04) (hash(x)=84280943)
474
- 3920 train 3.970432 (lr=4.0166e-04) (hash(x)=80901294)
475
- 3930 train 4.039755 (lr=3.9729e-04) (hash(x)=81437584)
476
- 3940 train 3.944039 (lr=3.9302e-04) (hash(x)=73893778)
477
- 3950 train 3.886929 (lr=3.8884e-04) (hash(x)=74987794)
478
- 3960 train 3.935655 (lr=3.8475e-04) (hash(x)=93721374)
479
- 3970 train 3.945935 (lr=3.8076e-04) (hash(x)=79149678)
480
- 3980 train 3.896754 (lr=3.7685e-04) (hash(x)=83179387)
481
- 3990 train 3.923690 (lr=3.7305e-04) (hash(x)=89009978)
482
- 4000 val loss 3.9443
483
- 4000 val perplexity 51.6416
484
- 4000 train 3.938412 (lr=3.6933e-04) (hash(x)=76483735)
485
- 4010 train 3.823814 (lr=3.6572e-04) (hash(x)=78638850)
486
- 4020 train 3.898306 (lr=3.6219e-04) (hash(x)=90415206)
487
- 4030 train 3.847905 (lr=3.5876e-04) (hash(x)=90819195)
488
- 4040 train 3.963622 (lr=3.5543e-04) (hash(x)=85938852)
489
- 4050 train 3.989661 (lr=3.5219e-04) (hash(x)=82436789)
490
- 4060 train 4.145049 (lr=3.4905e-04) (hash(x)=63022149)
491
- 4070 train 3.973024 (lr=3.4600e-04) (hash(x)=83501199)
492
- 4080 train 3.969528 (lr=3.4305e-04) (hash(x)=77093326)
493
- 4090 train 3.844126 (lr=3.4019e-04) (hash(x)=73437559)
494
- 4100 val loss 3.9357
495
- 4100 val perplexity 51.1959
496
- 4100 train 3.945265 (lr=3.3744e-04) (hash(x)=84550388)
497
- 4110 train 3.960652 (lr=3.3477e-04) (hash(x)=86184566)
498
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1
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