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epoch
int64 -1
20k
| num_tokens_seen
int64 0
4.1B
| train_loss_ctx0
float64 0.72
1.52
β | val_loss_ctx0
float64 1
2.13
| train_loss_ctx1
float64 0.76
1.46
β | val_loss_ctx1
float64 1
2.07
| train_loss_ctx2
float64 0.77
1.38
β | val_loss_ctx2
float64 1
2.28
| train_loss_ctx3
float64 0.78
1.38
β | val_loss_ctx3
float64 1
2.07
| train_loss_ctx4
float64 0.75
1.38
β | val_loss_ctx4
float64 1
2.5
| train_loss_ctx5
float64 0.77
1.38
β | val_loss_ctx5
float64 1
2.53
| train_loss_ctx6
float64 0.77
1.37
β | val_loss_ctx6
float64 1
2.52
| train_loss_ctx7
float64 0.74
1.37
β | val_loss_ctx7
float64 1
2.29
| train_loss_mean
float64 0.92
1.36
β | val_loss_mean
float64 1
2.3
| learning_rate
float64 0
0
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
-1
| 0
| null | 1.583977
| null | 1.599219
| null | 1.610021
| null | 1.613485
| null | 1.615111
| null | 1.615752
| null | 1.615798
| null | 1.615796
| null | 1.608645
| 0.0001
|
0
| 204,800
| 1.522285
| 1.467032
| 1.461267
| 1.326275
| 1.383603
| 1.171325
| 1.310438
| 1.069803
| 1.268434
| 1.039947
| 1.260487
| 1.045101
| 1.266508
| 1.057436
| 1.247793
| 1.068003
| 1.340102
| 1.155615
| 0.0001
|
1
| 409,600
| 1.411925
| 1.347193
| 1.199763
| 1.087894
| 1.077138
| 1.035739
| 1.045791
| 1.03957
| 1.032724
| 1.040017
| 1.040849
| 1.040291
| 1.043135
| 1.04048
| 1.05505
| 1.040666
| 1.113297
| 1.083981
| 0.0001
|
2
| 614,400
| 1.272709
| 1.199635
| 1.045128
| 1.029514
| 1.040279
| 1.038143
| 1.046839
| 1.037989
| 1.028618
| 1.039127
| 1.054708
| 1.039847
| 1.037545
| 1.040146
| 1.039028
| 1.040344
| 1.070607
| 1.058093
| 0.0001
|
3
| 819,200
| 1.128494
| 1.065906
| 1.034782
| 1.034416
| 1.047246
| 1.035566
| 1.027656
| 1.037748
| 1.057757
| 1.039103
| 1.043877
| 1.03983
| 1.044987
| 1.040121
| 1.036639
| 1.040309
| 1.05268
| 1.041625
| 0.0001
|
4
| 1,024,000
| 1.032733
| 1.025521
| 1.018823
| 1.031054
| 1.037865
| 1.035639
| 1.042488
| 1.038072
| 1.043602
| 1.039439
| 1.048442
| 1.040142
| 1.034981
| 1.040412
| 1.045743
| 1.040587
| 1.038085
| 1.036358
| 0.0001
|
5
| 1,228,800
| 1.026181
| 1.021216
| 1.034032
| 1.030081
| 1.031665
| 1.035432
| 1.039475
| 1.037748
| 1.034202
| 1.039094
| 1.042519
| 1.039822
| 1.044432
| 1.040115
| 1.048021
| 1.040305
| 1.037566
| 1.035477
| 0.0001
|
6
| 1,433,600
| 1.01878
| 1.020547
| 1.038488
| 1.02942
| 1.035247
| 1.03543
| 1.028507
| 1.037744
| 1.057563
| 1.039095
| 1.048598
| 1.039832
| 1.029819
| 1.040133
| 1.039924
| 1.040331
| 1.037116
| 1.035317
| 0.0001
|
7
| 1,638,400
| 1.029898
| 1.020205
| 1.018241
| 1.02941
| 1.028104
| 1.035408
| 1.040909
| 1.03774
| 1.03622
| 1.0391
| 1.038733
| 1.03985
| 1.042426
| 1.040163
| 1.029322
| 1.040375
| 1.032982
| 1.035281
| 0.0001
|
8
| 1,843,200
| 1.016399
| 1.019825
| 1.014427
| 1.029264
| 1.034537
| 1.035641
| 1.042576
| 1.037941
| 1.03442
| 1.039277
| 1.041823
| 1.039991
| 1.051871
| 1.040271
| 1.035906
| 1.040448
| 1.033995
| 1.035332
| 0.0001
|
9
| 2,048,000
| 1.023458
| 1.01954
| 1.030114
| 1.029476
| 1.03016
| 1.035365
| 1.038293
| 1.037712
| 1.048382
| 1.039077
| 1.023147
| 1.03983
| 1.048139
| 1.04014
| 1.043729
| 1.040349
| 1.035678
| 1.035186
| 0.0001
|
10
| 2,252,800
| 1.01351
| 1.019201
| 1.030794
| 1.029447
| 1.031504
| 1.035309
| 1.040843
| 1.037655
| 1.034877
| 1.03902
| 1.04052
| 1.039787
| 1.030157
| 1.040124
| 1.037124
| 1.040371
| 1.032416
| 1.035114
| 0.0001
|
11
| 2,457,600
| 1.020725
| 1.018867
| 1.038006
| 1.029273
| 1.034186
| 1.035158
| 1.047588
| 1.037423
| 1.044123
| 1.038726
| 1.045383
| 1.039451
| 1.039719
| 1.039762
| 1.044546
| 1.039988
| 1.039284
| 1.034831
| 0.0001
|
12
| 2,662,400
| 1.007386
| 1.018455
| 1.022786
| 1.029382
| 1.023257
| 1.035027
| 1.026096
| 1.037163
| 1.044958
| 1.038371
| 1.04447
| 1.039069
| 1.044259
| 1.0394
| 1.043647
| 1.039676
| 1.032107
| 1.034568
| 0.0001
|
13
| 2,867,200
| 1.016992
| 1.01795
| 1.030189
| 1.029096
| 1.03619
| 1.03452
| 1.029353
| 1.036428
| 1.036008
| 1.037579
| 1.036854
| 1.038293
| 1.038598
| 1.038602
| 1.042043
| 1.038798
| 1.033278
| 1.033908
| 0.0001
|
14
| 3,072,000
| 1.020701
| 1.017279
| 1.031113
| 1.028761
| 1.033717
| 1.033542
| 1.041487
| 1.034864
| 1.035951
| 1.035813
| 1.037582
| 1.036517
| 1.030433
| 1.036859
| 1.033581
| 1.037096
| 1.033071
| 1.032591
| 0.0001
|
15
| 3,276,800
| 1.015371
| 1.016476
| 1.037518
| 1.028127
| 1.023717
| 1.031439
| 1.026159
| 1.032189
| 1.041019
| 1.033188
| 1.040798
| 1.033897
| 1.038197
| 1.034199
| 1.039677
| 1.034432
| 1.032807
| 1.030494
| 0.0001
|
16
| 3,481,600
| 1.012878
| 1.015451
| 1.038282
| 1.026908
| 1.032942
| 1.027699
| 1.020731
| 1.027812
| 1.026818
| 1.028555
| 1.029841
| 1.029151
| 1.039506
| 1.029408
| 1.023031
| 1.029572
| 1.028004
| 1.02682
| 0.0001
|
17
| 3,686,400
| 1.014875
| 1.014355
| 1.010468
| 1.026363
| 1.01369
| 1.023472
| 1.025395
| 1.023179
| 1.033959
| 1.024199
| 1.028318
| 1.024999
| 1.035722
| 1.025309
| 1.024598
| 1.025417
| 1.023378
| 1.023412
| 0.0001
|
18
| 3,891,200
| 1.012429
| 1.01337
| 1.030494
| 1.021385
| 1.024797
| 1.01988
| 1.013989
| 1.020272
| 1.019769
| 1.02135
| 1.02907
| 1.022243
| 1.022836
| 1.0225
| 1.01664
| 1.022511
| 1.021253
| 1.020439
| 0.0001
|
19
| 4,096,000
| 1.016924
| 1.012683
| 1.02352
| 1.019289
| 1.024598
| 1.017472
| 1.021067
| 1.018321
| 1.007755
| 1.020236
| 1.02927
| 1.021203
| 1.021865
| 1.021134
| 1.021923
| 1.020874
| 1.020865
| 1.018901
| 0.0001
|
20
| 4,300,800
| 1.021292
| 1.011151
| 1.017415
| 1.014914
| 1.023737
| 1.015216
| 1.017271
| 1.016614
| 1.014507
| 1.017798
| 1.008172
| 1.018443
| 1.01372
| 1.018637
| 1.014543
| 1.018832
| 1.016332
| 1.016451
| 0.0001
|
21
| 4,505,600
| 1.010438
| 1.010202
| 1.011151
| 1.013549
| 1.010805
| 1.013849
| 1.015015
| 1.01496
| 1.010747
| 1.016224
| 1.019668
| 1.016874
| 1.016089
| 1.016997
| 1.02619
| 1.017095
| 1.015013
| 1.014969
| 0.0001
|
22
| 4,710,400
| 1.002429
| 1.00954
| 1.012746
| 1.012396
| 1.015313
| 1.013033
| 1.015885
| 1.014027
| 1.027536
| 1.01509
| 1.00666
| 1.015767
| 1.017407
| 1.016016
| 1.011757
| 1.016209
| 1.013717
| 1.01401
| 0.0001
|
23
| 4,915,200
| 1.004833
| 1.008283
| 1.007008
| 1.01
| 1.011559
| 1.012021
| 1.014458
| 1.01323
| 1.007674
| 1.014335
| 1.01743
| 1.014904
| 1.020809
| 1.015076
| 1.014355
| 1.015232
| 1.012266
| 1.012885
| 0.0001
|
24
| 5,120,000
| 1.006039
| 1.007409
| 1.009732
| 1.008617
| 1.002989
| 1.011381
| 1.009756
| 1.012697
| 1.014649
| 1.013615
| 1.016511
| 1.014183
| 1.022166
| 1.014432
| 1.015852
| 1.014635
| 1.012212
| 1.012121
| 0.0001
|
25
| 5,324,800
| 0.994629
| 1.006773
| 1.015175
| 1.007804
| 1.02089
| 1.010854
| 1.004529
| 1.012193
| 1.006492
| 1.013219
| 1.025069
| 1.013812
| 1.024968
| 1.014052
| 1.017839
| 1.014247
| 1.013699
| 1.011619
| 0.0001
|
26
| 5,529,600
| 1.012384
| 1.006018
| 1.010363
| 1.007285
| 1.019096
| 1.010532
| 1.014504
| 1.011879
| 1.004169
| 1.012986
| 1.017888
| 1.013582
| 1.015973
| 1.013775
| 1.02286
| 1.013928
| 1.014655
| 1.011248
| 0.0001
|
27
| 5,734,400
| 0.999748
| 1.005424
| 1.008684
| 1.006651
| 1.020196
| 1.010226
| 1.003004
| 1.011643
| 1.012462
| 1.012831
| 1.022079
| 1.013565
| 1.021242
| 1.013873
| 1.014333
| 1.014146
| 1.012719
| 1.011045
| 0.0001
|
28
| 5,939,200
| 0.994849
| 1.00492
| 1.012384
| 1.006414
| 1.012181
| 1.010099
| 1.017799
| 1.011457
| 1.005379
| 1.012471
| 1.021037
| 1.013141
| 1.018632
| 1.013431
| 1.013991
| 1.013672
| 1.012032
| 1.010701
| 0.0001
|
29
| 6,144,000
| 1.001013
| 1.004744
| 1.004837
| 1.006335
| 0.991726
| 1.010355
| 1.015826
| 1.011809
| 1.010765
| 1.01313
| 1.012377
| 1.013765
| 1.009212
| 1.013919
| 1.016511
| 1.014082
| 1.007783
| 1.011017
| 0.0001
|
30
| 6,348,800
| 1.004725
| 1.004383
| 0.989106
| 1.00587
| 1.013554
| 1.009691
| 1.023577
| 1.011186
| 1.00973
| 1.012352
| 1.024816
| 1.013047
| 1.016027
| 1.01335
| 1.001064
| 1.013623
| 1.010325
| 1.010438
| 0.0001
|
31
| 6,553,600
| 1.000827
| 1.004102
| 1.011831
| 1.005902
| 1.024903
| 1.009936
| 1.008082
| 1.011533
| 1.015946
| 1.012435
| 1.011595
| 1.012999
| 0.996395
| 1.01324
| 1.018438
| 1.013404
| 1.011002
| 1.010444
| 0.0001
|
32
| 6,758,400
| 1.00576
| 1.003836
| 1.006656
| 1.005633
| 1.008023
| 1.009611
| 1.005871
| 1.0111
| 1.018048
| 1.012395
| 1.022535
| 1.01315
| 1.008297
| 1.013494
| 1.007186
| 1.013844
| 1.010297
| 1.010383
| 0.0001
|
33
| 6,963,200
| 0.996523
| 1.003704
| 1.011034
| 1.005331
| 1.01558
| 1.009702
| 1.007436
| 1.011184
| 0.998873
| 1.012385
| 1.010456
| 1.01297
| 1.014393
| 1.013152
| 1.012828
| 1.013322
| 1.00839
| 1.010219
| 0.0001
|
34
| 7,168,000
| 1.007131
| 1.00316
| 1.007444
| 1.005073
| 1.003442
| 1.009182
| 1.010217
| 1.010796
| 1.008767
| 1.0119
| 1.015218
| 1.012581
| 1.017509
| 1.012897
| 1.026002
| 1.01309
| 1.011966
| 1.009835
| 0.0001
|
35
| 7,372,800
| 1.006066
| 1.00307
| 0.992347
| 1.005129
| 1.011507
| 1.009171
| 1.011027
| 1.010739
| 1.003688
| 1.011888
| 1.016855
| 1.012519
| 1.014344
| 1.012755
| 1.015331
| 1.012945
| 1.008896
| 1.009777
| 0.0001
|
36
| 7,577,600
| 0.999128
| 1.002903
| 1.012426
| 1.004857
| 1.012483
| 1.009006
| 1.005922
| 1.010623
| 1.016476
| 1.01171
| 1.013298
| 1.012355
| 1.016591
| 1.012637
| 1.024742
| 1.012828
| 1.012633
| 1.009615
| 0.0001
|
37
| 7,782,400
| 0.999154
| 1.002762
| 0.99896
| 1.004747
| 1.004723
| 1.008986
| 1.022444
| 1.010619
| 1.004586
| 1.011721
| 1.016445
| 1.012357
| 1.018734
| 1.012617
| 1.001621
| 1.012789
| 1.008333
| 1.009575
| 0.0001
|
38
| 7,987,200
| 0.996799
| 1.002892
| 1.016574
| 1.004826
| 1.009376
| 1.008948
| 1.014848
| 1.010668
| 1.002137
| 1.011898
| 1.01129
| 1.012574
| 1.004028
| 1.012834
| 1.013722
| 1.013042
| 1.008597
| 1.00971
| 0.0001
|
39
| 8,192,000
| 1.000329
| 1.002629
| 1.002289
| 1.004909
| 1.012055
| 1.0091
| 1.012512
| 1.010671
| 1.014574
| 1.011828
| 1.003863
| 1.01246
| 1.028973
| 1.012697
| 1.000942
| 1.012901
| 1.009442
| 1.009649
| 0.0001
|
40
| 8,396,800
| 0.994159
| 1.002404
| 0.986923
| 1.00451
| 1.024702
| 1.00881
| 1.006877
| 1.010454
| 1.021856
| 1.011558
| 1.017665
| 1.012193
| 1.020514
| 1.012458
| 1.017792
| 1.012666
| 1.011311
| 1.009382
| 0.0001
|
41
| 8,601,600
| 1.018415
| 1.002931
| 0.989776
| 1.004549
| 1.000574
| 1.008937
| 1.013328
| 1.010609
| 1.009508
| 1.011674
| 1.018096
| 1.012349
| 1.025335
| 1.01267
| 1.013496
| 1.01286
| 1.011066
| 1.009572
| 0.0001
|
42
| 8,806,400
| 0.996178
| 1.002342
| 0.992724
| 1.005229
| 1.014624
| 1.008786
| 1.009349
| 1.010342
| 1.021264
| 1.011431
| 1.018996
| 1.012053
| 1.002679
| 1.012312
| 1.012468
| 1.012518
| 1.008535
| 1.009376
| 0.0001
|
43
| 9,011,200
| 0.996896
| 1.002152
| 1.00474
| 1.004502
| 1.000997
| 1.008838
| 1.010542
| 1.010468
| 1.001231
| 1.01152
| 1.017987
| 1.012122
| 1.007609
| 1.012365
| 1.002514
| 1.012553
| 1.005314
| 1.009315
| 0.0001
|
44
| 9,216,000
| 0.999466
| 1.002216
| 0.993524
| 1.004721
| 1.005212
| 1.009507
| 1.014547
| 1.011307
| 0.999841
| 1.012241
| 1.019493
| 1.012841
| 1.025351
| 1.013112
| 1.013275
| 1.013248
| 1.008839
| 1.009899
| 0.0001
|
45
| 9,420,800
| 0.995365
| 1.002101
| 1.011522
| 1.004353
| 1.005018
| 1.00914
| 1.015608
| 1.01105
| 1.003021
| 1.012095
| 1.019118
| 1.012758
| 1.015578
| 1.013065
| 1.019488
| 1.013224
| 1.01059
| 1.009723
| 0.0001
|
46
| 9,625,600
| 0.999113
| 1.001886
| 1.015408
| 1.00441
| 1.011102
| 1.008817
| 1.016599
| 1.010643
| 1.01883
| 1.011688
| 1.018027
| 1.012358
| 1.005822
| 1.012662
| 1.017838
| 1.012831
| 1.012842
| 1.009412
| 0.0001
|
47
| 9,830,400
| 1.009768
| 1.001832
| 1.000914
| 1.00429
| 1.015081
| 1.009104
| 1.017513
| 1.011104
| 1.015473
| 1.012203
| 1.001028
| 1.012941
| 1.018236
| 1.013326
| 1.011095
| 1.013544
| 1.011138
| 1.009793
| 0.0001
|
48
| 10,035,200
| 1.002552
| 1.001781
| 1.010196
| 1.004055
| 0.999664
| 1.008476
| 1.010786
| 1.01016
| 1.015069
| 1.011264
| 0.996839
| 1.011883
| 1.016106
| 1.012136
| 1.015066
| 1.012318
| 1.008285
| 1.009009
| 0.0001
|
49
| 10,240,000
| 0.992556
| 1.001795
| 0.997256
| 1.004084
| 1.014322
| 1.008799
| 1.011925
| 1.010575
| 1.018108
| 1.011554
| 1.006429
| 1.012173
| 1.016387
| 1.012446
| 1.014323
| 1.012603
| 1.008913
| 1.009254
| 0.0001
|
50
| 10,444,800
| 1.008737
| 1.001952
| 1.014059
| 1.00432
| 1.022717
| 1.008664
| 1.009226
| 1.010244
| 1.006749
| 1.011248
| 1.01568
| 1.011875
| 1.016764
| 1.012136
| 1.007844
| 1.012299
| 1.012722
| 1.009092
| 0.0001
|
51
| 10,649,600
| 1.006286
| 1.001614
| 1.004863
| 1.004012
| 1.009599
| 1.008433
| 1.014764
| 1.010038
| 1.009745
| 1.011074
| 1.011846
| 1.011698
| 1.011208
| 1.011956
| 1.009305
| 1.012133
| 1.009702
| 1.00887
| 0.0001
|
52
| 10,854,400
| 1.002108
| 1.001619
| 1.004009
| 1.004241
| 1.004293
| 1.009017
| 1.0075
| 1.010862
| 1.008719
| 1.012225
| 1.010739
| 1.012869
| 1.006973
| 1.013092
| 1.007828
| 1.013321
| 1.006521
| 1.009656
| 0.0001
|
53
| 11,059,200
| 1.004737
| 1.001607
| 1.011518
| 1.003846
| 1.004993
| 1.008371
| 1.002383
| 1.010014
| 1.006019
| 1.011058
| 1.014788
| 1.011694
| 1.004562
| 1.011973
| 1.020821
| 1.012153
| 1.008728
| 1.008839
| 0.0001
|
54
| 11,264,000
| 0.999694
| 1.001526
| 1.004265
| 1.004036
| 1.02343
| 1.008433
| 1.0228
| 1.010005
| 1.006331
| 1.011023
| 1.011099
| 1.011644
| 1.010204
| 1.011895
| 1.014144
| 1.012075
| 1.011496
| 1.008829
| 0.0001
|
55
| 11,468,800
| 0.999141
| 1.001466
| 1.008488
| 1.003865
| 1.015631
| 1.008303
| 1.006472
| 1.009932
| 1.00447
| 1.010957
| 1.026978
| 1.011564
| 1.006727
| 1.01181
| 1.013045
| 1.011973
| 1.010119
| 1.008734
| 0.0001
|
56
| 11,673,600
| 1.005692
| 1.001423
| 1.006163
| 1.003781
| 1.008433
| 1.00844
| 1.007036
| 1.010111
| 1.019441
| 1.011144
| 1.016982
| 1.01181
| 1.008241
| 1.012098
| 1.016862
| 1.012255
| 1.011106
| 1.008883
| 0.0001
|
57
| 11,878,400
| 1.007534
| 1.00178
| 0.997952
| 1.003874
| 0.98787
| 1.008261
| 1.010838
| 1.010056
| 1.015795
| 1.011275
| 0.998712
| 1.012103
| 1.009439
| 1.012516
| 1.014883
| 1.012746
| 1.005378
| 1.009076
| 0.0001
|
58
| 12,083,200
| 1.005167
| 1.001498
| 1.000782
| 1.003864
| 1.011234
| 1.008121
| 1.001155
| 1.009701
| 1.013518
| 1.010751
| 1.01386
| 1.011366
| 1.00906
| 1.011624
| 1.020568
| 1.011825
| 1.009418
| 1.008594
| 0.0001
|
59
| 12,288,000
| 0.994744
| 1.001342
| 1.006335
| 1.0036
| 1.015003
| 1.008105
| 1.01078
| 1.009718
| 1.018624
| 1.010739
| 1.009438
| 1.011344
| 1.003942
| 1.011583
| 1.004083
| 1.011743
| 1.007869
| 1.008522
| 0.0001
|
60
| 12,492,800
| 0.998768
| 1.00132
| 0.989634
| 1.003775
| 1.014675
| 1.008002
| 1.018142
| 1.009587
| 1.025874
| 1.010653
| 1.000899
| 1.011291
| 1.013593
| 1.011556
| 1.016153
| 1.011734
| 1.009717
| 1.00849
| 0.0001
|
61
| 12,697,600
| 0.996695
| 1.001302
| 1.001304
| 1.003532
| 1.014521
| 1.008022
| 1.005077
| 1.009563
| 1.004527
| 1.010585
| 1.011964
| 1.011186
| 1.018062
| 1.011427
| 0.998916
| 1.011603
| 1.006383
| 1.008403
| 0.0001
|
62
| 12,902,400
| 1.005103
| 1.001381
| 0.995789
| 1.004124
| 1.013783
| 1.008047
| 1.006473
| 1.009621
| 1.018921
| 1.010731
| 1.022521
| 1.011421
| 1.000099
| 1.011704
| 1.021875
| 1.011857
| 1.01057
| 1.008611
| 0.0001
|
63
| 13,107,200
| 0.999106
| 1.001388
| 0.997415
| 1.003403
| 1.007726
| 1.008001
| 1.008814
| 1.009523
| 1.007548
| 1.010501
| 1.009311
| 1.011108
| 1.021789
| 1.011348
| 0.999744
| 1.011498
| 1.006432
| 1.008346
| 0.0001
|
64
| 13,312,000
| 0.990411
| 1.001253
| 1.001554
| 1.003568
| 1.013725
| 1.008209
| 1.011898
| 1.009616
| 1.013408
| 1.010517
| 0.998553
| 1.011068
| 1.004502
| 1.01128
| 1.013332
| 1.011428
| 1.005923
| 1.008367
| 0.0001
|
65
| 13,516,800
| 1.00432
| 1.001503
| 1.000546
| 1.003443
| 1.012067
| 1.007716
| 1.012172
| 1.009239
| 1.002525
| 1.010294
| 1.021696
| 1.010888
| 1.015941
| 1.011122
| 1.00922
| 1.011297
| 1.009811
| 1.008188
| 0.0001
|
66
| 13,721,600
| 1.004289
| 1.001248
| 1.007915
| 1.003338
| 1.00177
| 1.00759
| 1.006649
| 1.009095
| 1.014518
| 1.010147
| 1.014423
| 1.010758
| 1.012845
| 1.011009
| 1.008456
| 1.011178
| 1.008858
| 1.008045
| 0.0001
|
67
| 13,926,400
| 1.000277
| 1.001197
| 0.998891
| 1.003235
| 1.006825
| 1.007517
| 1.007723
| 1.009012
| 1.028311
| 1.010015
| 1.005356
| 1.010606
| 1.015348
| 1.010856
| 1.018745
| 1.011041
| 1.010184
| 1.007935
| 0.0001
|
68
| 14,131,200
| 0.999583
| 1.001177
| 1.002445
| 1.003117
| 1.003322
| 1.007397
| 1.014891
| 1.008835
| 1.014795
| 1.009829
| 1.01063
| 1.010411
| 1.016423
| 1.010645
| 1.005458
| 1.010819
| 1.008443
| 1.007779
| 0.0001
|
69
| 14,336,000
| 1.002689
| 1.001294
| 1.007002
| 1.003454
| 1.000422
| 1.008018
| 1.017326
| 1.009552
| 1.013438
| 1.010654
| 1.002189
| 1.011244
| 1.008769
| 1.011581
| 1.007498
| 1.011976
| 1.007417
| 1.008472
| 0.0001
|
70
| 14,540,800
| 1.003473
| 1.001117
| 1.01017
| 1.003099
| 0.999108
| 1.007146
| 0.992251
| 1.008529
| 1.014676
| 1.009502
| 1.013376
| 1.0101
| 1.020222
| 1.010378
| 1.015475
| 1.010587
| 1.008594
| 1.007557
| 0.0001
|
71
| 14,745,600
| 1.000165
| 1.001166
| 1.007858
| 1.002961
| 1.001434
| 1.007118
| 1.030339
| 1.008482
| 1.009045
| 1.009439
| 1.015653
| 1.010083
| 1.01674
| 1.010361
| 1.019284
| 1.01054
| 1.012565
| 1.007519
| 0.0001
|
72
| 14,950,400
| 1.01238
| 1.001891
| 0.996653
| 1.003106
| 0.995696
| 1.007069
| 1.013049
| 1.008287
| 1.011603
| 1.009171
| 1.014513
| 1.009737
| 1.014665
| 1.009976
| 1.01398
| 1.010158
| 1.009067
| 1.007424
| 0.0001
|
73
| 15,155,200
| 0.998548
| 1.001075
| 1.006159
| 1.002805
| 1.014543
| 1.007016
| 0.999633
| 1.008315
| 1.01658
| 1.009144
| 1.016081
| 1.009749
| 1.007047
| 1.010027
| 1.007733
| 1.01023
| 1.00829
| 1.007295
| 0.0001
|
74
| 15,360,000
| 0.996526
| 1.001088
| 0.999034
| 1.002778
| 0.997041
| 1.006868
| 0.997143
| 1.008238
| 1.007482
| 1.009391
| 1.005933
| 1.010302
| 1.014129
| 1.010787
| 1.027444
| 1.011077
| 1.005592
| 1.007566
| 0.0001
|
75
| 15,564,800
| 1.007319
| 1.0011
| 0.995332
| 1.002679
| 1.005043
| 1.006412
| 1.011994
| 1.007553
| 1.015703
| 1.008577
| 1.01559
| 1.009308
| 1.007344
| 1.009634
| 1.007072
| 1.009814
| 1.008175
| 1.006885
| 0.0001
|
76
| 15,769,600
| 0.990028
| 1.001134
| 1.002292
| 1.00237
| 1.005035
| 1.006109
| 1.016026
| 1.007327
| 0.999983
| 1.008266
| 1.021516
| 1.008834
| 1.016755
| 1.009088
| 1.012318
| 1.009319
| 1.007994
| 1.006556
| 0.0001
|
77
| 15,974,400
| 0.99202
| 1.001017
| 0.998532
| 1.002504
| 1.011204
| 1.006198
| 1.004505
| 1.007111
| 1.010876
| 1.007985
| 1.002271
| 1.008571
| 1.009565
| 1.008795
| 1.010046
| 1.008952
| 1.004877
| 1.006391
| 0.0001
|
78
| 16,179,200
| 1.007835
| 1.001204
| 1.012535
| 1.002932
| 1.003824
| 1.006104
| 1.010355
| 1.007031
| 1.001948
| 1.007867
| 1.001954
| 1.008433
| 1.007053
| 1.00875
| 1.014017
| 1.009081
| 1.00744
| 1.006425
| 0.0001
|
79
| 16,384,000
| 1.016439
| 1.001369
| 1.002543
| 1.002179
| 1.006939
| 1.005565
| 1.015008
| 1.006526
| 1.013538
| 1.007407
| 1.011132
| 1.007985
| 1.005088
| 1.008255
| 1.00558
| 1.008496
| 1.009533
| 1.005973
| 0.0001
|
80
| 16,588,800
| 0.99641
| 1.001092
| 0.997696
| 1.00275
| 1.007505
| 1.006245
| 1.008156
| 1.007243
| 1.020059
| 1.008253
| 1.016306
| 1.008874
| 0.994489
| 1.009265
| 1.000118
| 1.009708
| 1.005092
| 1.006679
| 0.0001
|
81
| 16,793,600
| 1.0062
| 1.000967
| 0.999124
| 1.002046
| 1.007406
| 1.005114
| 1.018812
| 1.005993
| 1.005279
| 1.006872
| 1.010616
| 1.007472
| 1.02415
| 1.007736
| 0.999962
| 1.00795
| 1.008943
| 1.005519
| 0.0001
|
82
| 16,998,400
| 0.990507
| 1.000947
| 1.008273
| 1.001735
| 0.996279
| 1.004999
| 1.011257
| 1.005784
| 1.005051
| 1.006628
| 1.010672
| 1.007183
| 1.002224
| 1.007434
| 1.004166
| 1.00767
| 1.003554
| 1.005298
| 0.0001
|
83
| 17,203,200
| 1.013479
| 1.00099
| 1.001859
| 1.001717
| 1.005536
| 1.004752
| 1.00613
| 1.005524
| 1.00878
| 1.006354
| 0.996286
| 1.006895
| 1.005725
| 1.00719
| 1.015098
| 1.007517
| 1.006612
| 1.005117
| 0.0001
|
84
| 17,408,000
| 1.003217
| 1.001003
| 0.996893
| 1.001434
| 0.998463
| 1.004271
| 1.02311
| 1.005287
| 1.010496
| 1.006078
| 1.012151
| 1.006611
| 1.011528
| 1.006841
| 1.018918
| 1.007051
| 1.009347
| 1.004822
| 0.0001
|
85
| 17,612,800
| 1.000348
| 1.000963
| 1.009461
| 1.001395
| 1.008117
| 1.00402
| 1.008571
| 1.004766
| 0.999956
| 1.00559
| 1.003391
| 1.006087
| 1.00471
| 1.006294
| 1.007991
| 1.006497
| 1.005318
| 1.004451
| 0.0001
|
86
| 17,817,600
| 1.010518
| 1.000889
| 1.001097
| 1.001571
| 0.989483
| 1.003987
| 1.007893
| 1.004214
| 1.004008
| 1.004815
| 1.005957
| 1.005288
| 1.011102
| 1.005555
| 0.999552
| 1.005827
| 1.003701
| 1.004018
| 0.0001
|
87
| 18,022,400
| 0.996658
| 1.000941
| 1.010125
| 1.001157
| 1.002264
| 1.003025
| 1.003955
| 1.003582
| 1.005846
| 1.004166
| 1.011291
| 1.004613
| 1.002633
| 1.004865
| 1.011942
| 1.005134
| 1.005589
| 1.003435
| 0.0001
|
88
| 18,227,200
| 0.996095
| 1.001536
| 1.004512
| 1.001617
| 1.000971
| 1.003477
| 0.993569
| 1.00371
| 0.994631
| 1.004253
| 1.010041
| 1.004658
| 1.002576
| 1.004876
| 1.00736
| 1.005116
| 1.001219
| 1.003655
| 0.0001
|
89
| 18,432,000
| 0.994205
| 1.000883
| 1.006544
| 1.000963
| 1.010335
| 1.002606
| 0.997277
| 1.003035
| 0.99777
| 1.003582
| 1.007605
| 1.004021
| 1.006035
| 1.004236
| 1.010733
| 1.004455
| 1.003813
| 1.002973
| 0.0001
|
90
| 18,636,800
| 0.992533
| 1.000881
| 0.998571
| 1.001
| 1.009464
| 1.002266
| 0.995479
| 1.002609
| 0.996069
| 1.003134
| 0.998817
| 1.003552
| 1.00494
| 1.003804
| 1.007354
| 1.00408
| 1.000403
| 1.002666
| 0.0001
|
91
| 18,841,600
| 1.021639
| 1.000814
| 1.003785
| 1.001084
| 1.004757
| 1.002282
| 0.998617
| 1.002583
| 0.999576
| 1.00312
| 1.002707
| 1.003576
| 1.002952
| 1.003857
| 1.00764
| 1.004158
| 1.005209
| 1.002684
| 0.0001
|
92
| 19,046,400
| 1.011244
| 1.000925
| 1.007521
| 1.001074
| 0.995833
| 1.00205
| 1.006157
| 1.002211
| 0.998918
| 1.002691
| 1.001783
| 1.003096
| 1.009807
| 1.003343
| 1.000064
| 1.003616
| 1.003916
| 1.002376
| 0.0001
|
93
| 19,251,200
| 1.011152
| 1.000733
| 1.004261
| 1.000914
| 1.009482
| 1.001801
| 0.987969
| 1.001845
| 1.006477
| 1.002241
| 0.994011
| 1.002624
| 1.005222
| 1.002817
| 1.008234
| 1.003015
| 1.003351
| 1.001999
| 0.0001
|
94
| 19,456,000
| 0.990539
| 1.000689
| 1.009382
| 1.001032
| 1.007647
| 1.001695
| 1.001419
| 1.001864
| 1.006753
| 1.002342
| 0.998934
| 1.002714
| 0.99166
| 1.002907
| 1.012508
| 1.003117
| 1.002355
| 1.002045
| 0.0001
|
95
| 19,660,800
| 0.984241
| 1.000998
| 1.008866
| 1.000807
| 1.001731
| 1.00156
| 1.002615
| 1.001444
| 1.001826
| 1.001759
| 1.002415
| 1.002143
| 1.002772
| 1.002405
| 1.008693
| 1.002684
| 1.001645
| 1.001725
| 0.0001
|
96
| 19,865,600
| 1.011041
| 1.000667
| 1.006304
| 1.000999
| 1.005141
| 1.001692
| 1.01007
| 1.001526
| 1.00565
| 1.001828
| 1.002699
| 1.002164
| 0.999506
| 1.002347
| 1.005158
| 1.002543
| 1.005696
| 1.001721
| 0.0001
|
97
| 20,070,400
| 1.001043
| 1.000678
| 1.012583
| 1.000818
| 0.981583
| 1.001366
| 0.994352
| 1.001268
| 0.992302
| 1.001554
| 1.002264
| 1.001844
| 0.99576
| 1.002015
| 0.998049
| 1.00222
| 0.997242
| 1.00147
| 0.0001
|
98
| 20,275,200
| 0.996965
| 1.000613
| 1.00071
| 1.001283
| 1.009496
| 1.001375
| 1.003687
| 1.001221
| 0.999965
| 1.001419
| 1.006416
| 1.001691
| 0.997098
| 1.001862
| 0.999987
| 1.002057
| 1.001791
| 1.00144
| 0.0001
|
End of preview. Expand
in Data Studio
Epsilon-Transformers Belief Analysis Dataset
This dataset contains trained neural network models and their corresponding belief state regression analysis from the Epsilon-Transformers project. The models were trained on four different stochastic processes and analyzed for their ability to learn and represent belief states. See https://github.com/adamimos/epsilon-transformers/tree/quantum-public for codebase which generated this data.
Dataset Structure
epsilon-transformers-belief-analysis/
βββ README.md
βββ models/ # Model checkpoints and configurations from S3
β βββ {sweep_id}_{run_id}/
β β βββ 0.pt # Initial checkpoint
β β βββ {final}.pt # Final checkpoint
β β βββ run_config.yaml # Training configuration
β β βββ loss.csv # Training loss data
β βββ ...
βββ analysis/ # Belief state regression analysis results
βββ {sweep_id}_{run_id}/
β βββ checkpoint_0.joblib # Initial checkpoint analysis
β βββ checkpoint_{final}.joblib # Final checkpoint analysis
β βββ ground_truth_data.joblib # Neural network ground truth
β βββ markov3_checkpoint_*.joblib # Classical Markov comparisons
β βββ markov3_ground_truth_data.joblib # Classical ground truth
βββ ...
Model Mappings
| Sweep ID | Run ID | Architecture | Process | Description |
|---|---|---|---|---|
| 20241121152808 | 48 | LSTM | Moon Process | LSTM trained on Moon Process |
| 20241121152808 | 49 | LSTM | Bloch Walk | LSTM trained on Bloch Walk |
| 20241121152808 | 53 | LSTM | FRDN | LSTM trained on FRDN |
| 20241121152808 | 55 | LSTM | Mess3 | LSTM trained on Mess3 |
| 20241121152808 | 56 | GRU | Moon Process | GRU trained on Moon Process |
| 20241121152808 | 57 | GRU | Bloch Walk | GRU trained on Bloch Walk |
| 20241121152808 | 61 | GRU | FRDN | GRU trained on FRDN |
| 20241121152808 | 63 | GRU | Mess3 | GRU trained on Mess3 |
| 20241121152808 | 64 | RNN | Moon Process | RNN trained on Moon Process |
| 20241121152808 | 65 | RNN | Bloch Walk | RNN trained on Bloch Walk |
| 20241121152808 | 69 | RNN | FRDN | RNN trained on FRDN |
| 20241121152808 | 71 | RNN | Mess3 | RNN trained on Mess3 |
| 20241205175736 | 17 | Transformer | Bloch Walk | Transformer trained on Bloch Walk |
| 20241205175736 | 23 | Transformer | Mess3 | Transformer trained on Mess3 |
| 20250421221507 | 0 | Transformer | Moon Process | Transformer trained on Moon Process |
| 20250422023003 | 1 | Transformer | FRDN | Transformer trained on FRDN |
File Formats
Model Files (.pt)
Transformerlens (for transformers) or Pytorch (for RNNs) model checkpoints containing trained model weights and optimizer states.
Analysis Files (.joblib)
Joblib-serialized files containing:
- checkpoint_*.joblib: Regression analysis results mapping activations to belief states
- ground_truth_data.joblib: True belief states and probabilities for the neural network data
- markov3_*.joblib: Classical Markov model comparisons and baselines
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