---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: bert-base-uncased
model-index:
- name: bert-business-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# bert-business-classifier

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an News Category dataset.

https://www.kaggle.com/datasets/rmisra/news-category-dataset

![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c79880b3d40d1b8c3c3bfa/5e9GGo1Mo7e-Bi4OVfjFT.png)

It achieves the following results on the evaluation set:


## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results



### Framework versions

- Transformers 4.41.0
- TensorFlow 2.17.0
- Tokenizers 0.19.1