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---
license: apache-2.0
datasets:
- wikimedia/wikipedia
language:
- en
metrics:
- glue
- accuracy
- f1
---
# 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
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