Andrej Karpathy
|
8f85b83347
|
inference time mini-optimization low-hanging fruit ty @jxtps for raising: when we are running inference we can apply lm_head on only the very last token
|
2023-01-12 06:02:50 +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
|
a855d316fd
|
add device and dtype support to train.py args
|
2023-01-08 19:20:38 +00:00 |
|
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
|
9629093e53
|
minor args re-arranging and removing some spurious ones like wandb entity ty @tcapelle
|
2023-01-05 01:14:02 +00:00 |
|
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 |
|
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
|
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
|
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
|
5a725d9098
|
add torch.compile by default, shows almost 1.8X improvement in throughput nice
|
2022-12-30 00:07:13 +00:00 |
|
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
|
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
|
5d2b4807bf
|
adding a lightweight configurator that may be a terrible mistake lol. also adding configs to evaluate the baseline GPT2 versions released by OpenAI on OWT. we have some ways to go to match those numbers atm
|
2022-12-28 23:31:23 +00:00 |
|
Andrej Karpathy
|
c9fe00c0e9
|
small readme clarification and training script defaults changes
|
2022-12-28 01:45:55 +00:00 |
|
Andrej Karpathy
|
fe8042867c
|
first very bad commit
|
2022-12-28 00:58:19 +00:00 |
|