Bangla Electra by monsoon-nlp

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  Arxiv:2004.07807   Bn   Doi:10.57967/hf/1380   Electra   Endpoints compatible   Pytorch   Region:us   Safetensors   Tf

Bangla Electra Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bangla Electra (monsoon-nlp/bangla-electra)

Bangla Electra Parameters and Internals

Model Type 
language model, classification, question answering
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Text classification, Question Answering
Limitations:
Limited to tasks in Bengali language
Additional Notes 
Similar performance to mBERT on some tasks
Supported Languages 
Bengali (high)
Training Details 
Data Sources:
https://oscar-corpus.com/, bn.wikipedia.org
Data Volume:
5.8GB + 414MB
Methodology:
Pre-trained using ELECTRA methodology
Training Time:
V1 - 120,000 steps; V2 - 190,000 steps
Model Architecture:
ELECTRA
LLM NameBangla Electra
Repository ๐Ÿค—https://huggingface.co/monsoon-nlp/bangla-electra 
Model Size13.5m
Required VRAM0.1 GB
Updated2025-04-29
Maintainermonsoon-nlp
Model Typeelectra
Model Files  0.1 GB   0.1 GB
Supported Languagesbn
Model ArchitectureAutoModel
Context Length512
Model Max Length512
Padding Token[PAD]
Vocabulary Size29898

Rank the Bangla Electra Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227