Dataset Viewer
Search is not available for this dataset
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
- Downloads last month
- 593