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mirror of https://github.com/osmarks/nanogpt-experiments.git synced 2024-12-18 14:10:28 +00:00
Commit Graph

155 Commits

Author SHA1 Message Date
Andrej Karpathy
e21cbf887f meant to set always_save_checkpoint to False instead, so we only write when val improves 2023-01-12 05:47:34 +00:00
Andrej Karpathy
c1ac2d58f1 including transformers as a dependency of the repo as well 2023-01-12 02:42:38 +00:00
Andrej Karpathy
7f51d17977 add note about windows and pytorch 2.0 and torch compile in general 2023-01-12 02:17:52 +00:00
Andrej Karpathy
bb49751439 oh no nanoGPT is trending quickly explain the character-level functionality I added late last night 2023-01-11 17:11:15 +00:00
Andrej Karpathy
d17350a31d add support for character-level language models, a new character-level shakespeare dataset, a new config file that shows how to train a character-level baby GPT on it, and adjust the sample function to figure out if it should decode with characters or GPT2 bpe tokens. The current implementation is a bit hacky and basically assumes just these two possibilities. In the future we may want to support more general encoders or decoders. 2023-01-11 05:27:19 +00:00
Andrej Karpathy
c2a402f7f7 guess the config from globals() and log all of it with wandb 2023-01-11 01:00:22 +00:00
Andrej Karpathy
8b2e622b27 adjust the readme to reflect changes in the autocast branch 2023-01-08 19:40:46 +00:00
Andrej Karpathy
b77c2e86d3 copy pasting what seems to work to bench,sample as well. ty @lantiga 2023-01-08 19:32:13 +00:00
Andrej Karpathy
a855d316fd add device and dtype support to train.py args 2023-01-08 19:20:38 +00:00
Andrej
e7cd674ce7
Merge pull request #20 from lantiga/wandb-optional-import
Make wandb import conditioned to wandb_log=True
2023-01-08 10:19:40 -08:00
Luca Antiga
09f1f458e8 Move conditional import 2023-01-08 15:51:50 +01:00
Luca Antiga
aba47f0a35 Make wandb import conditioned to wandb_log=True 2023-01-08 15:42:08 +01:00
Andrej Karpathy
e53b9d28ff ran readme through spellchecker heh 2023-01-08 01:46:54 +00:00
Andrej Karpathy
df3b8a57ab tune the readme with new header image and the loss curve for 124M 2023-01-08 00:41:14 +00:00
Andrej Karpathy
d56bdf05a6 progress! based on chinchilla author correspondence 2023-01-07 02:42:30 +00:00
Andrej Karpathy
27fc6a4112 small tweaks to notebook 2023-01-06 02:13:04 +00:00
Andrej Karpathy
69d1a5f1af update scaling laws. basically i can't reproduce any of params, flops, or scaling laws of the Chinchilla paper atm... 2023-01-06 02:01:08 +00:00
Andrej Karpathy
9629093e53 minor args re-arranging and removing some spurious ones like wandb entity ty @tcapelle 2023-01-05 01:14:02 +00:00
Andrej
529c967a65
Merge pull request #19 from nat/patch-1
Strip unwanted prefix from state keys when loading model in sample.py
2023-01-04 16:46:32 -08:00
Andrej Karpathy
d562b3e550 shuttling the poor mans configurator aside into its own file and adding it to all of train,sample,bench. because i am leaving args in globals() so i can avoid having to prepend every single variable with an args., i have to exec the configurator and the optional configs. so we're left with something very gross by standard convention but also quite simple and functional. *ducks* 2023-01-05 00:44:35 +00:00
Nat Friedman
2b9e168736 Strip unwanted prefix from state keys when loading model 2023-01-04 16:39:30 -08:00
Andrej Karpathy
ab04701f9f mention current 8GPU SOTA and shuffle sections a bit 2023-01-04 18:59:10 +00:00
Andrej
1eefbb2520
Merge pull request #16 from jorahn/patch-1
Update README.md
2023-01-04 09:08:50 -08:00
Jonathan Rahn
26aa5f3ead
Update README.md 2023-01-04 10:28:13 +01:00
Andrej Karpathy
c72ecf5d93 add a notebook trying to reproduce chinchilla scaling laws. I can't get the numbers to be exactly right, have to look at more 2023-01-04 00:59:34 +00:00
Andrej Karpathy
5acba4b005 ty lambda labs 2023-01-03 21:16:07 +00:00
Andrej Karpathy
97fc42616e adding few more dependencies 2023-01-03 17:54:48 +00:00
Andrej Karpathy
9f95aca93e better hyperparams for gpt2 124M model on A100 40GB. still uncertain about max_iters especially, and a bit about weight decay, betas 2023-01-03 17:45:49 +00:00
Andrej Karpathy
b45eec3e4b flesh out the remaining TODOs in readme a bit more 2023-01-03 07:41:28 +00:00
Andrej Karpathy
177d5f7dc5 disabling torch.jit.script here for massive performance boost when using torch.compile, our default. see issue #11. thanks @vgoklani for flagging 2023-01-02 23:05:01 +00:00
Andrej Karpathy
ea4de192e0 reshuffle args inside sample.py 2023-01-02 02:11:39 +00:00
Andrej Karpathy
ec9b1f8182 add a patch to fix mysterious unwanted prefix in state dict? maybe remove later 2023-01-02 01:25:02 +00:00
Andrej Karpathy
41184a27f5 rename compile_model to compile, shroter, version 2 stragglers 2023-01-02 01:15:55 +00:00
Andrej Karpathy
35f51974c4 rename to compile it's shorter 2023-01-02 01:14:46 +00:00
Andrej Karpathy
2febf4463c candidate changes to apis, have to think through more 2023-01-01 01:29:48 +00:00
Andrej Karpathy
7c6ea8409e simplify the prepare script a lot, write only using one process, seems sufficient for now. ty @LaihoE for suggestion and @proger for flagging 2022-12-30 22:18:20 +00:00
Andrej Karpathy
d8abd21258 typo fix in readme 2022-12-30 00:07:58 +00:00
Andrej Karpathy
5a725d9098 add torch.compile by default, shows almost 1.8X improvement in throughput nice 2022-12-30 00:07:13 +00:00
Andrej
fb52554ca8
Merge pull request #1 from ankandrew/master
Minor Frozen GPTConfig
2022-12-29 13:45:20 -08:00
ankandrew
7f0e6d9a71 Frozen GPTConfig 2022-12-29 17:07:19 -03:00
Andrej Karpathy
682a0ac8f1 properly resume training, also loading iter_num and best_val_loss from checkpoints 2022-12-29 18:23:15 +00:00
Andrej Karpathy
f88aa2c2fe add link to mingpt 2022-12-29 17:38:33 +00:00
Andrej Karpathy
f2fc4be69b mention 4gpu loss as well in readme 2022-12-29 17:26:42 +00:00
Andrej Karpathy
fa57d464d7 pull out dtype up top 2022-12-29 05:32:55 +00:00
Andrej Karpathy
e7bac659f5 oops missed one # have to fix 2022-12-29 05:24:14 +00:00
Andrej Karpathy
97e2ab1b8d enhance readme, add some todos 2022-12-29 05:23:36 +00:00
Andrej
cc11744131
Add MIT LICENSE file 2022-12-28 21:11:26 -08:00
Andrej Karpathy
dea1507252 add support for DDP training. the scaling timings right now do not look good by default, have to dig more into 2022-12-29 05:06:07 +00:00
Andrej Karpathy
ee6459f1d0 readme tweaks 2022-12-29 02:00:25 +00:00
Andrej Karpathy
3000cf5dda add pytorch profiler support. not sure how to support both profiler and simple benchmarking, a bit gnarly atm hmm 2022-12-29 01:49:53 +00:00