Update README.md

README.md

@@ -1,12 +1,12 @@
 ---
 license: apache-2.0
-base_model: bert-base-uncased
+base_model: bert-large-uncased
 tags:
 - adult text classification
 metrics:
 - accuracy
 model-index:
-- name: bert-base-uncased-Adult-Text-Classifier
+- name: bert-large-uncased-Adult-Text-Classifier
   results: []
 datasets:
 - valurank/Adult-content-dataset
@@ -14,8 +14,8 @@ language:
 - en
 ---
 
-# bert-base-uncased-Adult-Text-Classifier
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [valurank/Adult-content-dataset](https://huggingface.co/datasets/valurank/Adult-content-dataset). It has been trained to classify text into categories related to adult content.
+# bert-large-uncased-Adult-Text-Classifier
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the [valurank/Adult-content-dataset](https://huggingface.co/datasets/valurank/Adult-content-dataset). It has been trained to classify text into categories related to adult content.
 It achieves the following results on the evaluation set:
 - Loss: 0.1257
 - Accuracy: 0.9824
@@ -68,4 +68,4 @@ The following hyperparameters were used during training:
 - Datasets 2.16.1
 - Tokenizers 0.15.0
 
-This model card provides an overview of the model's architecture, training procedure, and performance metrics. It serves as a reference for users interested in utilizing or further understanding the capabilities and limitations of the bert-base-uncased-Adult-Text-Classifier model.
+This model card provides an overview of the model's architecture, training procedure, and performance metrics. It serves as a reference for users interested in utilizing or further understanding the capabilities and limitations of the bert-large-uncased-Adult-Text-Classifier model.