说明文档

该模型是 csarron/bert-base-uncased-squad-v1 的一个分支。

  eval_exact_match = 80.9082
  eval_f1          = 88.2275
  eval_samples     =   10784

评估

export CUDA_VISIBLE_DEVICES=0

OUTDIR=eval-bert-base-squadv1
WORKDIR=transformers/examples/pytorch/question-answering
cd $WORKDIR

nohup python run_qa.py  \
    --model_name_or_path vuiseng9/bert-base-squadv1  \
    --dataset_name squad  \
    --do_eval  \
    --per_device_eval_batch_size 128  \
    --max_seq_length 384  \
    --doc_stride 128  \
    --overwrite_output_dir \
    --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &

vuiseng9/bert-base-squadv1

作者 vuiseng9

question-answering transformers

↓ 5 ♥ 0

创建时间: 2022-03-02 23:29:05+00:00

更新时间: 2022-01-19 19:03:57+00:00

在 Hugging Face 上查看

文件 (21)

.gitattributes

README.md

all_results.json

bert-base-squadv1.onnx ONNX

config.json

eval_nbest_predictions.json

eval_predictions.json

eval_results.json

ir/bert-base-squadv1.bin

ir/bert-base-squadv1.mapping

ir/bert-base-squadv1.xml

ir/mo.log

layer_wise_sparsity_global_rate_0.00.csv

layer_wise_sparsity_global_rate_0.00.md

linear_layer_sparsity_85M_params_0.00_sparsity.csv

linear_layer_sparsity_85M_params_0.00_sparsity.md

pytorch_model.bin

special_tokens_map.json

tokenizer_config.json

training_args.bin

vocab.txt