---
license: apache-2.0
language:
- en
model-index:
- name: rttl-ai/SentyBert
  results:
  - task:
      type: task-classification           
      name: Text Classification     
    dataset:
      type: sst2          
      name: sst2          
      config: default
      split: validation    
    metrics:
      - type: f1         
        value: 0.9992
---

# rttl-ai/SentyBert

## Model Details
**Model Description:** This model is a fine-tune checkpoint of [DistilBERT-base-uncased](https://huggingface.co/distilbert-base-uncased), fine-tuned on SST-2.
This model reaches an accuracy of 91.3 on the dev set (for comparison, Bert bert-base-uncased version reaches an accuracy of 92.7).
- **Developed by:** Hugging Face
- **Model Type:** Text Classification
- **Language(s):** English
- **License:** Apache-2.0
- **Parent Model:** For more details about DistilBERT, we encourage users to check out [this model card](https://huggingface.co/distilbert-base-uncased).
- **Resources for more information:**
    - [Model Documentation](https://huggingface.co/docs/transformers/main/en/model_doc/distilbert#transformers.DistilBertForSequenceClassification)
    - [DistilBERT paper](https://arxiv.org/abs/1910.01108)