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csarron/bert-base-uncased-squad-v1. eval_exact_match = 80.9082
eval_f1 = 88.2275
eval_samples = 107841export CUDA_VISIBLE_DEVICES=0
2
3OUTDIR=eval-bert-base-squadv1
4WORKDIR=transformers/examples/pytorch/question-answering
5cd $WORKDIR
6
7nohup python run_qa.py \
8 --model_name_or_path vuiseng9/bert-base-squadv1 \
9 --dataset_name squad \
10 --do_eval \
11 --per_device_eval_batch_size 128 \
12 --max_seq_length 384 \
13 --doc_stride 128 \
14 --overwrite_output_dir \
15 --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &