Aesop's Fables
queuedupdated 27s agoIT'S ALIVE
Loss0.19
Step30,310
Compute $$0.00CPU lane, house cost
Corpus192 KB0% from holders
step 1ishphroworevel Eagleadowameoreore by awayoatoat fear Dogness work A anotherumis come Ois great great Inpherctionnt Se“himweb[ re otherpose the
step 30,314 The Fisherman and His Nets A FISHERMAN, engaged in his calling, made a very successful cast and captured a great
spoke at step 530, 37s after birth / 22:55 UTC
| Step | Loss |
|---|---|
| 50 | 5.89 |
| 3,270 | 2.13 |
| 6,710 | 0.47 |
| 10,070 | 0.34 |
| 13,510 | 0.28 |
| 15,870 | 0.26 |
| 17,590 | 0.24 |
| 19,310 | 0.24 |
| 20,990 | 0.22 |
| 22,540 | 0.22 |
| 23,380 | 0.23 |
| 24,240 | 0.21 |
| 25,080 | 0.21 |
| 25,940 | 0.21 |
| 26,800 | 0.21 |
| 27,480 | 0.21 |
| 28,340 | 0.21 |
| 29,180 | 0.21 |
| 29,870 | 0.21 |
| 30,290 | 0.21 |
step 30,314 The Fisherman and His Nets A FISHERMAN, engaged in his calling, made a very successful cast and captured a great
step 30,171The Sick Stag A SICK STAG, passing by and of waterants the man said to a tld him to be hid-create a sovereign with
step 29,982The Boasting Traveler A MAN who had traveled in foreign lands boasted very much, on returning to his own country, of the many wonder
step 29,749 The Old Lion A LION, worn out with years and powerless from disease, lay on the ground at the point of death. A B
step 29,453 The Wolf and the Housedog A WOLF, meeting a big well-fed Mastiff with a wooden collar about his neck asked him
step 29,165A FISHERMAN who lived on the produce of his nets, one day caught a single small Fish as the result of his day’s lab
step 28,790 A BALD KNIGHT and a Lion was b Mouse with a Goat and angried off nothingwith hisraught and summ y sound the Lion. On his de
step 28,572promise, he turned around and cried out, “You foolish old fellow! If you had as many brains in your head as you have hairs in your beard,
step 28,333 The Ass, the Cock, and the Fox A LION and a Bear seized a Kid at the same moment, and fought fiercely for its possess
step 28,067The Georgehope that a feathersing gradually thickness should be publicly known. The beasts expressed their sorrow, and came one by one
step 27,655instead of going out to battle. But when he was compelled to grind instead of serving in the wars, he bewailed his change
step 27,355 The Mischievous Dog A DOG used to run up quietly to the heels of everyone he met, and to bite them without notice.
step 27,001 The Sick Kite A KITE, sick unto death, said to his mother: “O Mother! do you into his friend, milent a treasure
step 26,925 The Goat and the Ass The Lion and the Bull The Fox and the Mask The Grasshopper and the Owl The Fowler and the Viper The Horse and the
step 26,634hast trade destruct to yourself, or yourself the manner ture if I may beservestly enition of my ownent than all.” men’s Upon which
step 26,248 A MAN had an Ass, and a Maltese Lapdog, a very great beauty. The Ass was left in a stable and had plenty of oats and
step 25,962contemporary with Phædrus in the time of Augustus. At whatever time he wrote his version of Æsop, by some strange accident it
step 25,575 A RIVELER carried on the con their tracks of a candor toous wound across him. He was killing the waterout a was carrying her p
step 25,233 The Wolf and the Shepherd A WOLF followed a flock of sheep for a long time and did not attempt to injure one of them. The Shepherd at first st
step 25,232disquisitional exercises of the rhetoricians and philosophers. His collection is interesting and important, not only
- Corpus
- 192 KB / 0% from holders
- Seed
- 192 KB
- Holders
- 0 KB (ring buffer, 200 KB cap)
- Replies
- 0 KB / 0% from replies (replies adapter not connected)
- Tokenizer
- byte-level BPE, 1,024 tokens, frozen at birth
- Init seed
- 7811267504284515734 = sha256("lab-aesop#1")[0:8] as uint64, folded to 63 bits
- Step-0 sha256
- 5986c674573a3db0f14e6d9bbddc6586b77fec1ad26c76b88ffd50bb48f5f9cb
- Latest checkpoint
- step 30,314 / f04d60266d658a7b48aefada6a2d8d158177b956be018e8fcb30cacbff174779 / 1,813 KB bf16 safetensors
- Config
{ "n_layer": 4, "n_head": 4, "n_embd": 128, "block_size": 64, "bias": false, "dropout": 0, "vocab_size": 1024 }- Reproduce step 0
curl -O https://trainpad.fun/repro-kit.tar && tar xf repro-kit.tar pip install torch==2.14.1 --index-url https://download.pytorch.org/whl/cpu pip install safetensors numpy python tools/repro.py "lab-aesop#1" # prints "step0_sha256": "5986c674573a3db0f14e6d9bbddc6586b77fec1ad26c76b88ffd50bb48f5f9cb"
- Hash chain
- step 30,314f04d60266d…17477900:18 UTC
- step 30,2004c3cc95f52…523dc000:17 UTC
- step 30,00049bd493721…c555d200:17 UTC
- step 29,981a1e6a91e91…a0386c00:16 UTC
- step 29,800c7ce21a28c…2355b400:15 UTC
- step 29,600389d634e93…58668100:15 UTC
- step 29,452a045384f90…cc601c00:14 UTC
- step 29,400a89ce1c36b…60793b00:13 UTC
- step 29,2009df203fe2e…3a543500:13 UTC
- step 29,00071612b9eb0…75725b00:13 UTC
- step 28,8005d40cf4089…6a1f5b00:13 UTC
- step 28,789378353b747…45e9f800:12 UTC
- step 28,6005b03d93f61…adafd800:11 UTC
- step 28,400ffe51fc100…8846c300:11 UTC
- step 28,3339a91f2e8f2…73d41100:10 UTC
- step 28,200978bf56daf…7c7edc00:10 UTC
- step 28,000030370f495…7233c100:10 UTC
- step 27,800da682f130e…68d0f300:10 UTC
- step 27,654ad5e37bc51…a0c98e00:08 UTC
- step 27,6005f0fd6083e…79ef8300:08 UTC
Lab runs are not chat models. The mother model chat is on /mother.