davanstrien/autotrain-data-dataset-mentions

---
language:
- en
task_categories:
- text-classification

---
# AutoTrain Dataset for project: dataset-mentions

## Dataset Description

This dataset has been automatically processed by AutoTrain for project dataset-mentions.

### Languages

The BCP-47 code for the dataset's language is en.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"text": " How to use ```python from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained(\"Geotrend/bert-base-en-fr-zh-ja-vi-cased\") model = AutoModel.from_pretrained(\"Geotrend/bert-base-en-fr-zh-ja-vi-cased\") ``` To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers). ",
"target": 0
},
{
"text": " Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 24 - eval_batch_size: 24 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ",
"target": 1
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['dataset_mention', 'no_dataset_mention'], id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name | Num samples |
| ------------ | ------------------- |
| train | 7428 |
| valid | 1858 |

原始信息汇总

AutoTrain Dataset for project: dataset-mentions

数据集描述

该数据集由AutoTrain自动处理，用于项目dataset-mentions。

语言

数据集的语言代码为BCP-47标准的en。

数据集结构

数据实例

数据集中的样本示例如下：

json [ { "text": " How to use python from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-fr-zh-ja-vi-cased") model = AutoModel.from_pretrained("Geotrend/bert-base-en-fr-zh-ja-vi-cased") To generate other smaller versions of multilingual transformers please visit our Github repo. ", "target": 0 }, { "text": " Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 24 - eval_batch_size: 24 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ", "target": 1 } ]

数据集字段

数据集包含以下字段（特征）：

json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(names=[dataset_mention, no_dataset_mention], id=None)" }

数据集分割

数据集被分割为训练集和验证集，分割大小如下：

分割名称	样本数量
训练集	7428
验证集	1858