ONNX Model Zoo

vuiseng9/bert-base-squadv1

By vuiseng9 · ↓ 5 · ♥ 0 · Updated 2022-01-19

What's in this repo

This page lists the files in vuiseng9/bert-base-squadv1, including bert-base-squadv1.onnx.

  • 1 ONNX models (.onnx files)
  • 21 files, including 7 .json, 3 .md, 3 .bin, 2 .csv, 1 .onnx, 1 .mapping
  • Last updated 2022-01-19

ONNX files

File Size Download
bert-base-squadv1.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

This model is a fork of csarron/bert-base-uncased-squad-v1.

  eval_exact_match = 80.9082
  eval_f1          = 88.2275
  eval_samples     =   10784

Eval

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 &

Model info

question-answering transformers
transformers pytorch onnx bert question-answering endpoints_compatible region:us
↓ 5 ♥ 0

Created: 2022-03-02

Updated: 2022-01-19

View on Hugging Face

Files (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

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