transformers pytorch bert text-classification en dataset:yelp_polarity arxiv:2004.10964 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- yelp_polarity
language:
- en
license: apache-2.0
model-index:
- name: rttl-ai/bert-base-uncased-polarity
  results:
  - task:
      type: text classification
      name: binary_classification
    dataset:
      name: yelp_polarity
      type: yelp_polarity
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.98
      name: Accuracy
---

## Model Details
**Model Description:** This model is a fine-tune checkpoint of [bert-base-uncased](https://huggingface.co/bert-base-uncased), fine-tuned on yelp reviews.

- **Developed by:** rttl-ai
- **Model Type:** Text Classification
- **Language(s):** English
- **License:** Apache-2.0
- **Resources for more information:**
 - The model was pre-trained with task-adaptive pre-training [TAPT](https://arxiv.org/pdf/2004.10964.pdf) with an increased masking rate, no corruption strategy, and using WWM, following [this paper](https://aclanthology.org/2023.eacl-main.217.pdf)
    - pre-trained on yelp reviews 
    - fine-tuned on yelp reviews for binary class text classification