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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-uncased-finetuned-bib-lang-grammar |
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results: [] |
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datasets: |
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- RickBrannan/categorize_bib_lang_grammar |
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language: |
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- en |
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--- |
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# distilbert-base-uncased-finetuned-bib-lang-grammar |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the dataset [RickBrannan/categorize_bib_lang_grammar](https://huggingface.co/datasets/RickBrannan/categorize_bib_lang_grammar). |
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## Intended uses & limitations |
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This model is intended to be used to locate discussions that utilize grammatical terminology within resources like biblical commentaries or study notes. |
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## Training and evaluation data |
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This model is trained on [RickBrannan/categorize_bib_lang_grammar](https://huggingface.co/datasets/RickBrannan/categorize_bib_lang_grammar), which is a collection of 2,700+ sentences categorized as `NOT-GRAMMAR` or `GRAMMAR`. |
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For details on the dataset and its sources, see the [Dataset Card](https://huggingface.co/datasets/RickBrannan/categorize_bib_lang_grammar). |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cpu |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
