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Evaluation short description
I've run nanotron script for training model with my own fineweb dataset
so I only got this result, model checkpoints
I'd like to evaluate this using lighteval
Please help this problem.
I've tried with this command
accelerate launch --multi_gpu --num_processes=8 -m \
lighteval accelerate \
--model_args "pretrained=./checkpoints/10" \
--tasks "lighteval|truthfulqa:mc|0|0" \
--override_batch_size 1 \
--output_dir="./evals/"
but how to use checkpoints for evaluating.
Python version: 3.10.12