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---
tags:
- distilbert
- phm
datasets:
- custom-phm-tweets
metrics:
- accuracy
model-index:
- name: distilbert-phmtweets-sutd
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: custom-phm-tweets
type: labelled
metrics:
- name: Accuracy
type: accuracy
value: 0.87
---
# distilbert-phmtweets-sutd
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a custom tweet dataset that references public health mentions.
It achieves the following results on the evaluation set:
- Accuracy: 0.87
## Usage
`from transformers import AutoTokenizer, AutoModelForSequenceClassification`
`tokenizer = AutoTokenizer.from_pretrained("dibsondivya/distilbert-phmtweets-sutd")`
`model = AutoModelForSequenceClassification.from_pretrained("dibsondivya/distilbert-phmtweets-sutd")`
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