

# Patent CPC Predictor

This is a fine-tuned version of microsoft/deberta-v3-small for predicting Patent CPC codes.

# Dataset

Dataset consists of titles and abstracts sampled from granted patent applications:
https://www.kaggle.com/datasets/grimmace/sampled-patent-titles

# Results
| Category | Accuracy |
| --- | ----------- |
| Section | 92% |
| Class | 88% |
| Subclass | 85% |
{"language": "en", "license": "mit", "tags": ["patent", "deberta"]}
transformers pytorch safetensors deberta-v2 feature-extraction patent deberta en license:mit endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #deberta-v2 #feature-extraction #patent #deberta #en #license-mit #endpoints_compatible #region-us 

Patent CPC Predictor
====================


This is a fine-tuned version of microsoft/deberta-v3-small for predicting Patent CPC codes.


Dataset
=======


Dataset consists of titles and abstracts sampled from granted patent applications:
URL


Results
=======




TAGS
#transformers #pytorch #safetensors #deberta-v2 #feature-extraction #patent #deberta #en #license-mit #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #safetensors #deberta-v2 #feature-extraction #patent #deberta #en #license-mit #endpoints_compatible #region-us 
