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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": 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": 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": 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"}
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 11.4043
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- 0 val perplexity 89706.9531
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- 900 val loss 4.6626
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- 1000 val loss 4.5610
123
- 1000 val perplexity 95.6804
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- 1100 val loss 4.4985
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- 1190 train 4.407722 (lr=2.8893e-03) (hash(x)=85974065)
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- 1200 val loss 4.4300
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- 1200 val perplexity 83.9291
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- 1300 val loss 4.3921
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- 1500 val loss 4.3303
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- 1500 val perplexity 75.9686
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- 1600 val loss 4.3073
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- 1600 val perplexity 74.2368
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- 1700 val loss 4.3078
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- 1800 val loss 4.2629
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- 1900 val loss 4.2443
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- 1900 train 4.342704 (lr=2.3598e-03) (hash(x)=82456430)
233
- 1910 train 4.109939 (lr=2.3499e-03) (hash(x)=82222135)
234
- 1920 train 4.145533 (lr=2.3400e-03) (hash(x)=70033249)
235
- 1930 train 4.130339 (lr=2.3300e-03) (hash(x)=72887360)
236
- 1940 train 4.174621 (lr=2.3200e-03) (hash(x)=83251100)
237
- 1950 train 4.220342 (lr=2.3099e-03) (hash(x)=79660266)
238
- 1960 train 4.099016 (lr=2.2998e-03) (hash(x)=78919068)
239
- 1970 train 4.197801 (lr=2.2896e-03) (hash(x)=94690431)
240
- 1980 train 4.034377 (lr=2.2793e-03) (hash(x)=88153756)
241
- 1990 train 4.088666 (lr=2.2691e-03) (hash(x)=77195688)
242
- 2000 val loss 4.2243
243
- 2000 val perplexity 68.3237
244
- 2000 train 4.188674 (lr=2.2588e-03) (hash(x)=81308591)
245
- 2010 train 4.239821 (lr=2.2484e-03) (hash(x)=80205479)
246
- 2020 train 4.144857 (lr=2.2380e-03) (hash(x)=81008704)
247
- 2030 train 4.216527 (lr=2.2275e-03) (hash(x)=82914358)
248
- 2040 train 4.219554 (lr=2.2170e-03) (hash(x)=88064399)
249
- 2050 train 4.230384 (lr=2.2065e-03) (hash(x)=82889390)
250
- 2060 train 4.298309 (lr=2.1959e-03) (hash(x)=80913554)
251
- 2070 train 4.141866 (lr=2.1853e-03) (hash(x)=78121791)
252
- 2080 train 4.275607 (lr=2.1746e-03) (hash(x)=75356657)
253
- 2090 train 4.097907 (lr=2.1639e-03) (hash(x)=74048412)
254
- 2100 val loss 4.1990
255
- 2100 val perplexity 66.6177
256
- 2100 train 4.021699 (lr=2.1532e-03) (hash(x)=68928225)
257
- 2110 train 4.074705 (lr=2.1424e-03) (hash(x)=93734745)
258
- 2120 train 4.071416 (lr=2.1316e-03) (hash(x)=72878164)
259
- 2130 train 4.203925 (lr=2.1208e-03) (hash(x)=71508226)
260
- 2140 train 4.159962 (lr=2.1099e-03) (hash(x)=84168671)
261
- 2150 train 4.096533 (lr=2.0990e-03) (hash(x)=74673639)
262
- 2160 train 4.246063 (lr=2.0881e-03) (hash(x)=75470031)
263
- 2170 train 4.199344 (lr=2.0771e-03) (hash(x)=74307890)
264
- 2180 train 4.318949 (lr=2.0661e-03) (hash(x)=77214245)
265
- 2190 train 4.100140 (lr=2.0550e-03) (hash(x)=88628359)
266
- 2200 val loss 4.1773
267
- 2200 val perplexity 65.1866
268
- 2200 train 4.113553 (lr=2.0440e-03) (hash(x)=74779126)
269
- 2210 train 4.153378 (lr=2.0329e-03) (hash(x)=79817976)
270
- 2220 train 4.104673 (lr=2.0217e-03) (hash(x)=75258996)
271
- 2230 train 4.077724 (lr=2.0106e-03) (hash(x)=88164047)
272
- 2240 train 4.059766 (lr=1.9994e-03) (hash(x)=78580686)
273
- 2250 train 4.005801 (lr=1.9882e-03) (hash(x)=76510617)
274
- 2260 train 4.075488 (lr=1.9770e-03) (hash(x)=76043966)
275
- 2270 train 4.053638 (lr=1.9657e-03) (hash(x)=73062098)
276
- 2280 train 4.284164 (lr=1.9544e-03) (hash(x)=81885909)
277
- 2290 train 4.217714 (lr=1.9431e-03) (hash(x)=81481741)
278
- 2300 val loss 4.1581
279
- 2300 val perplexity 63.9487
280
- 2300 train 4.074558 (lr=1.9318e-03) (hash(x)=82104275)
281
- 2310 train 4.128089 (lr=1.9205e-03) (hash(x)=82137309)
282
- 2320 train 4.103353 (lr=1.9091e-03) (hash(x)=86741167)
283
- 2330 train 4.119576 (lr=1.8977e-03) (hash(x)=84796263)
284
- 2340 train 4.100761 (lr=1.8863e-03) (hash(x)=169966529)
285
- 2350 train 3.966264 (lr=1.8749e-03) (hash(x)=80006061)
286
- 2360 train 4.021591 (lr=1.8635e-03) (hash(x)=71090999)
287
- 2370 train 4.152897 (lr=1.8520e-03) (hash(x)=86641850)
288
- 2380 train 4.049273 (lr=1.8406e-03) (hash(x)=84573253)
289
- 2390 train 4.086118 (lr=1.8291e-03) (hash(x)=74483764)
290
- 2400 val loss 4.1483
291
- 2400 val perplexity 63.3294
292
- 2400 train 4.053940 (lr=1.8176e-03) (hash(x)=78327659)
293
- 2410 train 4.123806 (lr=1.8061e-03) (hash(x)=77273627)
294
- 2420 train 3.984845 (lr=1.7946e-03) (hash(x)=76938049)
295
- 2430 train 3.990595 (lr=1.7830e-03) (hash(x)=98449442)
296
- 2440 train 3.849964 (lr=1.7715e-03) (hash(x)=78157797)
297
- 2450 train 3.894181 (lr=1.7600e-03) (hash(x)=80637582)
298
- 2460 train 3.879771 (lr=1.7484e-03) (hash(x)=80023854)
299
- 2470 train 3.942410 (lr=1.7368e-03) (hash(x)=86678884)
300
- 2480 train 4.170700 (lr=1.7253e-03) (hash(x)=84086469)
301
- 2490 train 4.187392 (lr=1.7137e-03) (hash(x)=83131141)
302
- 2500 val loss 4.1241
303
- 2500 val perplexity 61.8104
304
- 2500 train 4.101756 (lr=1.7021e-03) (hash(x)=82583497)
305
- 2510 train 4.166438 (lr=1.6906e-03) (hash(x)=79164326)
306
- 2520 train 4.071899 (lr=1.6790e-03) (hash(x)=76456503)
307
- 2530 train 4.130459 (lr=1.6674e-03) (hash(x)=82001228)
308
- 2540 train 4.162688 (lr=1.6558e-03) (hash(x)=75615595)
309
- 2550 train 4.109509 (lr=1.6442e-03) (hash(x)=78397869)
310
- 2560 train 4.115657 (lr=1.6326e-03) (hash(x)=75547032)
311
- 2570 train 4.024044 (lr=1.6210e-03) (hash(x)=89201025)
312
- 2580 train 4.008725 (lr=1.6094e-03) (hash(x)=89856704)
313
- 2590 train 4.022644 (lr=1.5979e-03) (hash(x)=82175682)
314
- 2600 val loss 4.1071
315
- 2600 val perplexity 60.7685
316
- 2600 train 4.029530 (lr=1.5863e-03) (hash(x)=78312826)
317
- 2610 train 4.020201 (lr=1.5747e-03) (hash(x)=77066588)
318
- 2620 train 3.863490 (lr=1.5632e-03) (hash(x)=78666061)
319
- 2630 train 3.859653 (lr=1.5516e-03) (hash(x)=93762143)
320
- 2640 train 3.873468 (lr=1.5400e-03) (hash(x)=83191587)
321
- 2650 train 3.798436 (lr=1.5285e-03) (hash(x)=87169585)
322
- 2660 train 4.019514 (lr=1.5170e-03) (hash(x)=86426388)
323
- 2670 train 4.155437 (lr=1.5054e-03) (hash(x)=76692638)
324
- 2680 train 4.063534 (lr=1.4939e-03) (hash(x)=77446063)
325
- 2690 train 4.067085 (lr=1.4824e-03) (hash(x)=79809050)
326
- 2700 val loss 4.1035
327
- 2700 val perplexity 60.5493
328
- 2700 train 3.994519 (lr=1.4709e-03) (hash(x)=83116823)
329
- 2710 train 4.104850 (lr=1.4594e-03) (hash(x)=75622148)
330
- 2720 train 4.035907 (lr=1.4480e-03) (hash(x)=80690512)
331
- 2730 train 4.109308 (lr=1.4365e-03) (hash(x)=78009984)
332
- 2740 train 4.061550 (lr=1.4251e-03) (hash(x)=74205488)
333
- 2750 train 4.065698 (lr=1.4137e-03) (hash(x)=91013332)
334
- 2760 train 3.985155 (lr=1.4023e-03) (hash(x)=76954961)
335
- 2770 train 4.002871 (lr=1.3909e-03) (hash(x)=79390317)
336
- 2780 train 3.868957 (lr=1.3795e-03) (hash(x)=70168783)
337
- 2790 train 4.024764 (lr=1.3682e-03) (hash(x)=76028417)
338
- 2800 val loss 4.0799
339
- 2800 val perplexity 59.1413
340
- 2800 train 3.851883 (lr=1.3569e-03) (hash(x)=77656050)
341
- 2810 train 3.896259 (lr=1.3456e-03) (hash(x)=94248216)
342
- 2820 train 3.959035 (lr=1.3343e-03) (hash(x)=78305078)
343
- 2830 train 3.870515 (lr=1.3230e-03) (hash(x)=79948848)
344
- 2840 train 3.740088 (lr=1.3118e-03) (hash(x)=85341024)
345
- 2850 train 4.051746 (lr=1.3006e-03) (hash(x)=78735170)
346
- 2860 train 4.296257 (lr=1.2894e-03) (hash(x)=71616419)
347
- 2870 train 4.072713 (lr=1.2783e-03) (hash(x)=78656517)
348
- 2880 train 4.080023 (lr=1.2671e-03) (hash(x)=80073987)
349
- 2890 train 4.015083 (lr=1.2560e-03) (hash(x)=76894809)
350
- 2900 val loss 4.0560
351
- 2900 val perplexity 57.7418
352
- 2900 train 3.996126 (lr=1.2450e-03) (hash(x)=80499838)
353
- 2910 train 4.044046 (lr=1.2339e-03) (hash(x)=72673354)
354
- 2920 train 4.026986 (lr=1.2229e-03) (hash(x)=84265768)
355
- 2930 train 4.051304 (lr=1.2119e-03) (hash(x)=79612060)
356
- 2940 train 3.906831 (lr=1.2010e-03) (hash(x)=74970087)
357
- 2950 train 4.065031 (lr=1.1901e-03) (hash(x)=84166818)
358
- 2960 train 4.048571 (lr=1.1792e-03) (hash(x)=89410221)
359
- 2970 train 3.989050 (lr=1.1684e-03) (hash(x)=75672566)
360
- 2980 train 3.848064 (lr=1.1576e-03) (hash(x)=81760314)
361
- 2990 train 3.818724 (lr=1.1468e-03) (hash(x)=80605200)
362
- 3000 val loss 4.0554
363
- 3000 val perplexity 57.7099
364
- 3000 train 3.814094 (lr=1.1361e-03) (hash(x)=83804735)
365
- 3010 train 3.746550 (lr=1.1254e-03) (hash(x)=77015303)
366
- 3020 train 3.810715 (lr=1.1147e-03) (hash(x)=81464523)
367
- 3030 train 4.008684 (lr=1.1041e-03) (hash(x)=80168230)
368
- 3040 train 3.954852 (lr=1.0935e-03) (hash(x)=84817006)
369
- 3050 train 4.065544 (lr=1.0830e-03) (hash(x)=71601811)
370
- 3060 train 3.979119 (lr=1.0725e-03) (hash(x)=85499733)
371
- 3070 train 4.035703 (lr=1.0620e-03) (hash(x)=78670408)
372
- 3080 train 3.928230 (lr=1.0516e-03) (hash(x)=77120468)
373
- 3090 train 4.036397 (lr=1.0412e-03) (hash(x)=77927426)
374
- 3100 val loss 4.0364
375
- 3100 val perplexity 56.6220
376
- 3100 train 4.057170 (lr=1.0309e-03) (hash(x)=83998606)
377
- 3110 train 3.947271 (lr=1.0207e-03) (hash(x)=77990218)
378
- 3120 train 3.863707 (lr=1.0104e-03) (hash(x)=81623970)
379
- 3130 train 3.838758 (lr=1.0002e-03) (hash(x)=75014781)
380
- 3140 train 3.892305 (lr=9.9011e-04) (hash(x)=72591250)
381
- 3150 train 3.904748 (lr=9.8002e-04) (hash(x)=81421847)
382
- 3160 train 3.953761 (lr=9.6999e-04) (hash(x)=75112631)
383
- 3170 train 4.048624 (lr=9.6000e-04) (hash(x)=87518033)
384
- 3180 train 3.899073 (lr=9.5007e-04) (hash(x)=78648348)
385
- 3190 train 4.015284 (lr=9.4019e-04) (hash(x)=78270029)
386
- 3200 val loss 4.0143
387
- 3200 val perplexity 55.3825
388
- 3200 train 4.089229 (lr=9.3036e-04) (hash(x)=83380714)
389
- 3210 train 4.273848 (lr=9.2058e-04) (hash(x)=67804991)
390
- 3220 train 3.999769 (lr=9.1085e-04) (hash(x)=76968804)
391
- 3230 train 3.929533 (lr=9.0118e-04) (hash(x)=75798670)
392
- 3240 train 4.009161 (lr=8.9157e-04) (hash(x)=83192811)
393
- 3250 train 3.943414 (lr=8.8201e-04) (hash(x)=81659789)
394
- 3260 train 3.991196 (lr=8.7251e-04) (hash(x)=80622502)
395
- 3270 train 3.957937 (lr=8.6307e-04) (hash(x)=85436511)
396
- 3280 train 3.899525 (lr=8.5368e-04) (hash(x)=80589180)
397
- 3290 train 4.035955 (lr=8.4435e-04) (hash(x)=85747193)
398
- 3300 val loss 4.0099
399
- 3300 val perplexity 55.1402
400
- 3300 train 3.905746 (lr=8.3508e-04) (hash(x)=74635692)
401
- 3310 train 3.894986 (lr=8.2588e-04) (hash(x)=82045455)
402
- 3320 train 3.764027 (lr=8.1673e-04) (hash(x)=73249173)
403
- 3330 train 3.721456 (lr=8.0764e-04) (hash(x)=71492338)
404
- 3340 train 4.056547 (lr=7.9862e-04) (hash(x)=76374071)
405
- 3350 train 4.028903 (lr=7.8966e-04) (hash(x)=80474064)
406
- 3360 train 3.936519 (lr=7.8076e-04) (hash(x)=84390892)
407
- 3370 train 3.980539 (lr=7.7192e-04) (hash(x)=83399949)
408
- 3380 train 4.033925 (lr=7.6315e-04) (hash(x)=77648059)
409
- 3390 train 4.005970 (lr=7.5445e-04) (hash(x)=80152701)
410
- 3400 val loss 3.9879
411
- 3400 val perplexity 53.9391
412
- 3400 train 4.059071 (lr=7.4581e-04) (hash(x)=81952545)
413
- 3410 train 4.010522 (lr=7.3724e-04) (hash(x)=80908993)
414
- 3420 train 4.058775 (lr=7.2874e-04) (hash(x)=79610037)
415
- 3430 train 3.921782 (lr=7.2030e-04) (hash(x)=87624382)
416
- 3440 train 3.981541 (lr=7.1193e-04) (hash(x)=82336381)
417
- 3450 train 3.956544 (lr=7.0363e-04) (hash(x)=87687835)
418
- 3460 train 3.959896 (lr=6.9541e-04) (hash(x)=76376135)
419
- 3470 train 3.873620 (lr=6.8725e-04) (hash(x)=79331391)
420
- 3480 train 3.779906 (lr=6.7916e-04) (hash(x)=107002681)
421
- 3490 train 3.859548 (lr=6.7114e-04) (hash(x)=77465514)
422
- 3500 val loss 3.9855
423
- 3500 val perplexity 53.8124
424
- 3500 train 3.821056 (lr=6.6320e-04) (hash(x)=88237229)
425
- 3510 train 3.889826 (lr=6.5533e-04) (hash(x)=81011739)
426
- 3520 train 3.940324 (lr=6.4753e-04) (hash(x)=64643427)
427
- 3530 train 4.217909 (lr=6.3981e-04) (hash(x)=78029539)
428
- 3540 train 4.046010 (lr=6.3216e-04) (hash(x)=83188968)
429
- 3550 train 4.066934 (lr=6.2458e-04) (hash(x)=86104185)
430
- 3560 train 3.991896 (lr=6.1708e-04) (hash(x)=81993629)
431
- 3570 train 3.964536 (lr=6.0966e-04) (hash(x)=72719368)
432
- 3580 train 3.971838 (lr=6.0231e-04) (hash(x)=90091487)
433
- 3590 train 3.857211 (lr=5.9504e-04) (hash(x)=77393152)
434
- 3600 val loss 3.9650
435
- 3600 val perplexity 52.7180
436
- 3600 train 3.966793 (lr=5.8785e-04) (hash(x)=73103504)
437
- 3610 train 3.975624 (lr=5.8074e-04) (hash(x)=84429400)
438
- 3620 train 3.946476 (lr=5.7370e-04) (hash(x)=77021795)
439
- 3630 train 3.901858 (lr=5.6675e-04) (hash(x)=92830605)
440
- 3640 train 4.100672 (lr=5.5987e-04) (hash(x)=78313175)
441
- 3650 train 3.900242 (lr=5.5308e-04) (hash(x)=85395549)
442
- 3660 train 3.687737 (lr=5.4636e-04) (hash(x)=78114459)
443
- 3670 train 3.819327 (lr=5.3973e-04) (hash(x)=74968316)
444
- 3680 train 3.745363 (lr=5.3318e-04) (hash(x)=73358737)
445
- 3690 train 3.852147 (lr=5.2671e-04) (hash(x)=76399442)
446
- 3700 val loss 3.9663
447
- 3700 val perplexity 52.7865
448
- 3700 train 3.847090 (lr=5.2033e-04) (hash(x)=74039273)
449
- 3710 train 4.027522 (lr=5.1402e-04) (hash(x)=79299680)
450
- 3720 train 3.940223 (lr=5.0780e-04) (hash(x)=94701498)
451
- 3730 train 4.020823 (lr=5.0167e-04) (hash(x)=75352071)
452
- 3740 train 3.900819 (lr=4.9562e-04) (hash(x)=77909487)
453
- 3750 train 4.007624 (lr=4.8965e-04) (hash(x)=73986730)
454
- 3760 train 3.964523 (lr=4.8377e-04) (hash(x)=79325763)
455
- 3770 train 4.012294 (lr=4.7798e-04) (hash(x)=72457818)
456
- 3780 train 4.143191 (lr=4.7227e-04) (hash(x)=71775590)
457
- 3790 train 4.020677 (lr=4.6665e-04) (hash(x)=82638943)
458
- 3800 val loss 3.9487
459
- 3800 val perplexity 51.8669
460
- 3800 train 4.005657 (lr=4.6112e-04) (hash(x)=79965893)
461
- 3810 train 3.938763 (lr=4.5567e-04) (hash(x)=72598235)
462
- 3820 train 3.923743 (lr=4.5031e-04) (hash(x)=83113889)
463
- 3830 train 3.979820 (lr=4.4504e-04) (hash(x)=74434590)
464
- 3840 train 3.897368 (lr=4.3986e-04) (hash(x)=82860348)
465
- 3850 train 3.837399 (lr=4.3477e-04) (hash(x)=78067565)
466
- 3860 train 3.901173 (lr=4.2977e-04) (hash(x)=82592498)
467
- 3870 train 3.832375 (lr=4.2486e-04) (hash(x)=81820733)
468
- 3880 train 3.849381 (lr=4.2004e-04) (hash(x)=87709040)
469
- 3890 train 3.892334 (lr=4.1530e-04) (hash(x)=70379093)
470
- 3900 val loss 3.9420
471
- 3900 val perplexity 51.5216
472
- 3900 train 4.021118 (lr=4.1066e-04) (hash(x)=76597431)
473
- 3910 train 3.899689 (lr=4.0611e-04) (hash(x)=90490716)
474
- 3920 train 4.005448 (lr=4.0166e-04) (hash(x)=81970659)
475
- 3930 train 3.991372 (lr=3.9729e-04) (hash(x)=81496334)
476
- 3940 train 3.965497 (lr=3.9302e-04) (hash(x)=75717605)
477
- 3950 train 3.914184 (lr=3.8884e-04) (hash(x)=82749357)
478
- 3960 train 3.946499 (lr=3.8475e-04) (hash(x)=89355157)
479
- 3970 train 3.899633 (lr=3.8076e-04) (hash(x)=78980403)
480
- 3980 train 3.872687 (lr=3.7685e-04) (hash(x)=76627217)
481
- 3990 train 3.875857 (lr=3.7305e-04) (hash(x)=72412879)
482
- 4000 val loss 3.9360
483
- 4000 val perplexity 51.2142
484
- 4000 train 3.885509 (lr=3.6933e-04) (hash(x)=83018142)
485
- 4010 train 3.900593 (lr=3.6572e-04) (hash(x)=81272436)
486
- 4020 train 3.831450 (lr=3.6219e-04) (hash(x)=85497482)
487
- 4030 train 3.899762 (lr=3.5876e-04) (hash(x)=85241734)
488
- 4040 train 3.868155 (lr=3.5543e-04) (hash(x)=77925307)
489
- 4050 train 3.867801 (lr=3.5219e-04) (hash(x)=84826179)
490
- 4060 train 3.928291 (lr=3.4905e-04) (hash(x)=83606764)
491
- 4070 train 3.836564 (lr=3.4600e-04) (hash(x)=80567590)
492
- 4080 train 3.889646 (lr=3.4305e-04) (hash(x)=76860998)
493
- 4090 train 3.929055 (lr=3.4019e-04) (hash(x)=74902328)
494
- 4100 val loss 3.9238
495
- 4100 val perplexity 50.5898
496
- 4100 train 3.972485 (lr=3.3744e-04) (hash(x)=82832041)
497
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498
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1
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