roberta-kaz-large Open-Source Kazakh Language Model - Free for Kazakh Text Processing Tasks

Roberta Kaz Large

Developed by nur-dev

A Kazakh language model based on the RoBERTa architecture, trained from scratch using RobertaForMaskedLM, suitable for Kazakh text processing tasks.

Large Language Model

Transformers

Other#Kazakh Pre-training #Multi-domain Text Understanding #Masked Language Modeling

Downloads 93

Release Time : 7/24/2024

Model Overview

This model is a RoBERTa model specifically optimized for the Kazakh language, primarily used for fill-mask tasks, capable of understanding and generating Kazakh text.

Model Features

Multi-domain Training Data

Trained on a multi-domain Kazakh dataset containing over 5.3 million samples, ensuring the model has broad generalization capabilities.

Efficient Training

Efficiently trained on two NVIDIA A100 GPUs using gradient accumulation techniques, totaling 10 epochs.

Learning Rate Optimization

Adopted a slow warm-up learning rate strategy to maximize training stability, with continuous adjustments over 208,100 optimization steps.

Model Capabilities

Kazakh Text Understanding

Kazakh Text Generation

Fill-mask Prediction

Use Cases

Education

Academic Text Analysis

Used for analyzing Kazakh academic texts, understanding complex concepts and terminology.

Content Generation

Kazakh Text Completion

Automatically completes Kazakh sentences or paragraphs during writing or editing processes.

🚀 RoBERTa-kaz-large

roberta-kaz-large is a RoBERTa-based language model for the Kazakh language, trained from scratch to handle diverse Kazakh language tasks.

🚀 Quick Start

The model can be used with the Hugging Face Transformers library:

from transformers import RobertaTokenizerFast, RobertaForMaskedLM

tokenizer = RobertaTokenizerFast.from_pretrained('nur-dev/roberta-kaz-large')
model = RobertaForMaskedLM.from_pretrained('nur-dev/roberta-kaz-large')

Or directly with a pipeline for MLM:

from transformers import pipeline
pipe = pipeline('fill-mask', model='nur-dev/roberta-kaz-large')
predicted = pipe("Қазіргі <mask> әлемдік деңгейдегі <mask> университеттері сапалы білім, зияткерлік және мәдени <mask> беретін <mask> <mask> <mask> ғана емес, сонымен қатар мемлекет үшін <mask> қабілетті адами капиталды құратын <mask>, ғылым және өндірісті интеграциялаудың <mask> <mask> болып табылады.")

for t in predicted:
  print(t[0]['score'], t[0]['token_str'])

✨ Features

roberta-kaz-large is a RoBERTa-based language model for the Kazakh language, trained from scratch using the RobertaForMaskedLM architecture. It has been trained on the "kz-transformers/multidomain-kazakh-dataset" from Hugging Face, which covers diverse domains to ensure broad generalization capabilities.

🔧 Technical Details

The model was trained using two NVIDIA A100 GPUs on over 5.3 million examples from the "kz-transformers/multidomain-kazakh-dataset." We conducted training across 10 epochs, handling large batches of data efficiently through gradient accumulation. The learning setup included a slow build-up in the learning rate to maximize learning stability and was optimized over 208,100 steps, focusing on improving the model’s ability to understand and generate the Kazakh language.

📄 License

The model is licensed under the AFL-3.0 license.

📚 Documentation

Limitations and Bias

As with any language model, roberta-kaz-large may inherently learn biases present in the training data. Users should be cautious and evaluate the model in diverse contexts to ensure it performs as expected, especially in sensitive applications.

Model Authors

Name: Kadyrbek Nurgali

Email: nurgaliqadyrbek@gmail.com
LinkedIn: Kadyrbek Nurgali

Property	Details
Model Type	RoBERTa-based language model for Kazakh
Training Data	kz-transformers/multidomain-kazakh-dataset

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