---
library_name: transformers
tags: []
---

# Labor Saving Stated Aim Classifier

This is a roberta-base model that is trained to classify whether a set of explicit stated aims extracted from a British [historical patent](https://huggingface.co/datasets/matthewleechen/300YearsOfBritishPatents) includes a labor-saving objective. 

Labels were manually generated and then checked with Gemini 2.0 Flash with the attached [prompt](https://huggingface.co/matthewleechen/labor-saving_stated_aim_classifier/blob/main/labor-saving_prompt.txt).

Hyperparameters:
lr = 6e-5
batch size = 128

Test set results:

```text
{'eval_loss': 0.28036537766456604,
 'eval_accuracy': 0.9,
 'eval_precision': 0.9,
 'eval_recall': 0.9,
 'eval_f1': 0.9,
 'eval_runtime': 0.4135,
 'eval_samples_per_second': 241.832,
 'eval_steps_per_second': 2.418}
```