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