autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-6fa21e-43607145128
收藏Hugging Face2023-10-04 更新2024-03-04 收录
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---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: 1987kostya/distilbert-base-uncased-finetuned-squad
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: validation
col_mapping:
context: context
question: question
answers-text: answers.text
answers-answer_start: answers.answer_start
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: 1987kostya/distilbert-base-uncased-finetuned-squad
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@Isuru0x01 ](https://huggingface.co/Isuru0x01 ) for evaluating this model.
---
类型:预测结果
标签:
- AutoTrain
- 评估
数据集:
- 对抗性问答(adversarial_qa)
评估信息:
任务:抽取式问答(extractive question answering)
模型:1987kostya/distilbert-base-uncased-finetuned-squad
评估指标:无
数据集名称:adversarial_qa
数据集配置:adversarialQA
数据集划分:验证集
字段映射:
上下文:context
问题:question
答案文本:answers.text
答案起始位置:answers.answer_start
---
# AutoTrain 评估器数据集卡片
本仓库包含由 [AutoTrain](https://huggingface.co/autotrain) 为以下任务与数据集生成的模型预测结果:
* 任务:抽取式问答
* 模型:1987kostya/distilbert-base-uncased-finetuned-squad
* 数据集:对抗性问答(adversarial_qa)
* 配置:adversarialQA
* 划分:验证集
如需发起新的评估任务,请访问 Hugging Face 的 [自动模型评估器](https://huggingface.co/spaces/autoevaluate/model-evaluator)。
## 贡献者致谢
感谢 [@Isuru0x01](https://huggingface.co/Isuru0x01) 对本模型进行评估。
提供机构:
autoevaluate
原始信息汇总
数据集卡片
数据集概述
- 任务类型: 抽取式问答
- 模型: 1987kostya/distilbert-base-uncased-finetuned-squad
- 数据集名称: adversarial_qa
- 数据集配置: adversarialQA
- 数据集分割: validation
数据集映射
- 上下文: context
- 问题: question
- 答案文本: answers.text
- 答案开始位置: answers.answer_start



