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Diffstat (limited to 'src/finetune_shakespeare.py')
| -rw-r--r-- | src/finetune_shakespeare.py | 25 |
1 files changed, 0 insertions, 25 deletions
diff --git a/src/finetune_shakespeare.py b/src/finetune_shakespeare.py deleted file mode 100644 index 148a4c4..0000000 --- a/src/finetune_shakespeare.py +++ /dev/null @@ -1,25 +0,0 @@ -import time - -out_dir = 'out-shakespeare' -eval_interval = 5 -eval_iters = 40 -wandb_log = False # feel free to turn on -wandb_project = 'shakespeare' -wandb_run_name = 'ft-' + str(time.time()) - -dataset = 'shakespeare' -init_from = 'gpt2-xl' # this is the largest GPT-2 model - -# only save checkpoints if the validation loss improves -always_save_checkpoint = False - -# the number of examples per iter: -# 1 batch_size * 32 grad_accum * 1024 tokens = 32,768 tokens/iter -# shakespeare has 301,966 tokens, so 1 epoch ~= 9.2 iters -batch_size = 1 -gradient_accumulation_steps = 32 -max_iters = 20 - -# finetune at constant LR -learning_rate = 3e-5 -decay_lr = False |