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bert-base-uncased-mnli
vuiseng9/bert-base-uncased-mnli
bert-base-uncased-mnli is a text classification model from vuiseng9. Use it when you need a label for a piece of text. It is set up for transformers.
This model is developed with transformers v4.10.3.
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Repo size
876 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Oct 6, 2021
- SHA
- 8e0524ef
Try a prompt
Model card
From the Hugging Face model README
This model is developed with transformers v4.10.3.
Train
#!/usr/bin/env bash
export CUDA_VISIBLE_DEVICES=0
OUTDIR=bert-based-uncased-mnli
WORKDIR=transformers/examples/pytorch/text-classification
cd $WORKDIR
nohup python run_glue.py \
--model_name_or_path bert-base-uncased \
--task_name mnli \
--do_eval \
--do_train \
--per_device_train_batch_size 16 \
--per_device_eval_batch_size 16 \
--max_seq_length 128 \
--num_train_epochs 3 \
--overwrite_output_dir \
--output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
Eval
export CUDA_VISIBLE_DEVICES=0
OUTDIR=eval-bert-based-uncased-mnli
WORKDIR=transformers/examples/pytorch/text-classification
cd $WORKDIR
nohup python run_glue.py \
--model_name_or_path vuiseng9/bert-base-uncased-mnli \
--task_name mnli \
--do_eval \
--per_device_eval_batch_size 16 \
--max_seq_length 128 \
--overwrite_output_dir \
--output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Oct 6, 2021