Update README.md

README.md

@@ -1,53 +1,48 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
-tags:
-- generated_from_trainer
-model-index:
-- name: distilbert-base-uncased-finetuned-bib-lang-grammar
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# distilbert-base-uncased-finetuned-bib-lang-grammar
-
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## 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
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.46.3
-- Pytorch 2.5.1+cpu
-- Datasets 3.1.0
-- Tokenizers 0.20.3
+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-uncased-finetuned-bib-lang-grammar
+  results: []
+datasets:
+- RickBrannan/categorize_bib_lang_grammar
+language:
+- en
+---
+
+# distilbert-base-uncased-finetuned-bib-lang-grammar
+
+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).
+
+## 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](https://huggingface.co/datasets/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](https://huggingface.co/datasets/RickBrannan/categorize_bib_lang_grammar).
+
+## 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