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m = 0.8444
eval_samples = 9815
mm = 0.8495
eval_samples = 98321#!/usr/bin/env bash
2
3export CUDA_VISIBLE_DEVICES=0
4
5OUTDIR=bert-mnli
6NEPOCH=3
7
8WORKDIR=transformers/examples/pytorch/text-classification
9cd $WORKDIR
10
11python run_glue.py \
12 --model_name_or_path bert-base-uncased \
13 --task_name mnli \
14 --max_seq_length 128 \
15 --do_train \
16 --per_device_train_batch_size 32 \
17 --learning_rate 2e-5 \
18 --num_train_epochs $NEPOCH \
19 --logging_steps 1 \
20 --evaluation_strategy steps \
21 --save_steps 3000 \
22 --do_eval \
23 --per_device_eval_batch_size 128 \
24 --eval_steps 250 \
25 --output_dir $OUTDIR
26 --overwrite_output_dir1export CUDA_VISIBLE_DEVICES=0
2
3OUTDIR=eval-bert-mnli
4WORKDIR=transformers/examples/pytorch/text-classification
5cd $WORKDIR
6
7nohup python run_glue.py \
8 --model_name_or_path vuiseng9/bert-mnli \
9 --task_name mnli \
10 --do_eval \
11 --per_device_eval_batch_size 128 \
12 --max_seq_length 128 \
13 --overwrite_output_dir \
14 --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &