This task is a sentiment analysis task. The following sections detail model preparation, dataset preparation, and how to run the task.
### Step 1: Prepare Pre-trained Models & Datasets
### Step 1: Prepare Pre-trained Model & Dataset
#### Pre-trianed Model
#### Pre-trained Model
The pre-training model of this mission is: [ernie-zh-base](https://github.com/PaddlePaddle/PALM/tree/r0.3-api).
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If everything goes well, there will be a folder named `data/` created with all the data files in it.
Each data file should have 2 fields, `label` and `text_a`, stored with [tsv](https://en.wikipedia.org/wiki/Tab-separated_values) format. Here are some examples:
The dataset file (for training) should have 2 fields, `text_a` and `label`, stored with [tsv](https://en.wikipedia.org/wiki/Tab-separated_values) format. Here shows an example:
