| | --- |
| | library_name: transformers |
| | tags: [] |
| | --- |
| | |
| | # Labor Augmenting 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-augmenting objective. |
| |
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| | Labels were manually generated and then checked with Gemini 2.0 Flash with the attached [prompt](https://huggingface.co/matthewleechen/labor-augmenting_stated_aim_classifier/blob/main/labor-augmenting_prompt.txt). |
| |
|
| | Hyperparameters: |
| | lr = 7e-5 |
| | batch size = 128 |
| |
|
| | Test set results: |
| |
|
| | ```text |
| | {'eval_loss': 0.2932845950126648, |
| | 'eval_accuracy': 0.9, |
| | 'eval_precision': 0.9, |
| | 'eval_recall': 0.9, |
| | 'eval_f1': 0.9, |
| | 'eval_runtime': 0.3819, |
| | 'eval_samples_per_second': 157.109, |
| | 'eval_steps_per_second': 2.618} |
| | ``` |
| | |
| | |
