Bert-base-cased-wikitext2 Open-source Text Processing Model - Free Deployment for Efficiently Completing Text Tasks

Bert Base Cased Wikitext2

Developed by thyagosme

This model is a fine-tuned version of bert-base-cased on the WikiText2 dataset, primarily used for text processing tasks.

Downloads 41

Release Time : 3/2/2022

Model Overview

Fine-tuned based on the bert-base-cased model, suitable for text processing tasks. Specific applications require further details.

Based on BERT Architecture

Utilizes the BERT-base-cased architecture, offering robust text representation capabilities.

Fine-tuning Optimization

Fine-tuned on the WikiText2 dataset, potentially optimized for specific tasks.

Linear Learning Rate Scheduling

Employs a linear learning rate scheduling strategy during training to stabilize the training process.

Text Representation

Text Feature Extraction

Natural Language Processing

Text Classification

Can be used for text classification tasks.

Named Entity Recognition

Potentially applicable to named entity recognition tasks.

Training Loss	Epoch	Step	Validation Loss
7.0902	1.0	2346	7.0492
6.9027	2.0	4692	6.8692
6.8553	3.0	7038	6.8882

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base