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--- |
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thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png |
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language: |
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- en |
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license: cc-by-4.0 |
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tags: |
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- text classification |
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- transformers |
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datasets: |
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- PCL |
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metrics: |
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- F1 |
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widget: |
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- |
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--- |
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## T5Base-PCL |
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This is a fine-tuned model of T5 (base) on the patronizing and condenscending language (PCL) dataset by Pérez-Almendros et al (2020) used for Task 4 competition of SemEval-2022. |
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It is intended to be used as a classification model for identifying PCL. |
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The dataset it's trained on is limited in scope, as it covers only some news texts covering about 20 English-speaking countries. |
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The macro F1 score achieved on the test set, based on the official evaluation, is 0.5452. |
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More information about the original pre-trained model can be found [here](https://huggingface.co/t5-base) |
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### How to use |
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```python |
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from transformers import T5ForConditionalGeneration, T5Tokenizer |
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import torch |
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tokenizer = T5Tokenizer.from_pretrained("tosin/pcl_22") |
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model = T5ForConditionalGeneration.from_pretrained("tosin/pcl_22") |
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tokenizer.pad_token = tokenizer.eos_token |
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