# Model Card for Model ID

This model detects if you are writing in a format that is more similar to Simple English or English. 

## Model Details
It was finetuned with the wikiedia datasets for English (20220301.en) and Simple English (20220301.simple).
Evaluation data after training:

- 'eval_loss': 0.100
- 'eval_accuracy': 0.982
- 'eval_f1': 0.982
- 'eval_runtime': 10.236
- 'eval_samples_per_second': 58.616
- 'eval_steps_per_second': 7.327
- 'epoch': 10.0


### Model Description

- **Model type:** Text Classification
- **Language(s) (NLP):** English, Simple English
- **License:** Apache 2.0
- **Finetuned from model [optional]:** distilbert-base-uncased

{"language": ["en"], "license": "apache-2.0", "datasets": ["wikimedia/wikipedia"], "metrics": ["glue", "accuracy", "f1"]}
transformers safetensors distilbert text-classification en dataset:wikimedia/wikipedia license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us