Chemical vs Pharmaceutical Domain Document Classifier
Chemical domain language model finetuned on 13K Chemical, and 14K Pharma Wikipedia articles broken into paragraphs.
Train Loss | Validation Acc. | Test Acc. |
---|---|---|
0.17 | 0.928 | 0.927 |
Dataset
Dataset with splits can be found @ https://www.kaggle.com/shahrukhkhan/pharma-vs-chemicals-domain-classification
Label Mappings
LABEL_0 => "PHARMACEUTICAL"
LABEL_1 => "CHEMICAL"
Usage in Transformers
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("recobo/chemical-bert-uncased-pharmaceutical-chemical-classifier")
model = AutoModelForSequenceClassification.from_pretrained("recobo/chemical-bert-uncased-pharmaceutical-chemical-classifier")
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