说明文档

该模型是 bert-large-uncased-whole-word-masking-finetuned-squad 的分支。内含 ONNX 和 OpenVINO-IR 模型。

在 v4.9.2 版本下评估。

  eval_exact_match = 86.9253
  eval_f1          = 93.1563
  eval_samples     =   10784

vuiseng9/bert-l-squadv1.1-sl384

作者 vuiseng9

question-answering transformers

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创建时间: 2022-05-06 23:14:39+00:00

更新时间: 2022-05-07 00:15:48+00:00

.gitattributes

README.md

config.json

flax_model.msgpack

ir/squad-BertForQuestionAnswering.dense.fp32.bin

ir/squad-BertForQuestionAnswering.dense.fp32.mapping

ir/squad-BertForQuestionAnswering.dense.fp32.onnx ONNX

ir/squad-BertForQuestionAnswering.dense.fp32.xml

pytorch_model.bin

saved_model.tar.gz

tf_model.h5

tokenizer.json

tokenizer_config.json

vocab.txt