Morizeyao/GPT2-Chinese
GPT2 Chinese
GPT2-Chinese is a Chinese language model implementation based on the GPT-2 architecture. It provides a causal language model trainer and a natural language generation tool designed for training and generating human-like Chinese text sequences.
The system integrates a BERT tokenizer to process Chinese corpora into manageable units for machine learning. It enables the development of predictive text models that can generate specific patterns, such as news or poetry, through prompt-based text completion.
The project covers a full workflow including text tokenization, model training using a transformer-based decoder, and performance evaluation via perplexity measurement. It also includes utilities for weight-based model serialization to support inference and checkpointing.
Features
- Decoder Architectures - Implements a GPT-2 based transformer decoder architecture for autoregressive Chinese text generation.
- Causal - Implements a causal masking mechanism to prevent the model from attending to future tokens during training.
- Training Pipelines - Provides a complete pipeline for training predictive text models using Chinese datasets.
- Chinese Natural Language Generation - Generates human-like Chinese text sequences across various styles and genres using a trained GPT-2 model.
- GPT-2 Implementations - Implements the GPT-2 architecture specifically for training and generating Chinese text.
- Language Model Training - Develops predictive text models that learn specific patterns like news or poetry from Chinese data.
- Natural Language Generation - Provides a tool for producing human-like Chinese text based on computational models.
- Text Tokenization - Provides a BERT-based tokenizer to segment Chinese text into manageable units for machine learning.
- Text Completion Engines - Functions as a text completion engine that generates logical continuations for Chinese prompts.
- Causal Language Modeling - Provides a training pipeline based on causal language modeling for next-token prediction.
- BERT Integrations - Integrates a BERT tokenizer to prepare Chinese corpora for GPT-2 training.
- Chinese Language Segmenters - Includes specialized tools for tokenizing and segmenting Chinese language corpora.
- Perplexity Calculators - Calculates perplexity scores to evaluate the predictive accuracy of the trained language model.
- Model Performance Evaluators - Quantifies model performance using perplexity measurements to evaluate prediction accuracy.
- Model Implementations - Pre-trained Chinese language model based on GPT-2.
- Pre-trained Language Models - Code for training GPT-2 on Chinese text.
- Corpus and Datasets - GPT-2 implementation for Chinese text generation.
