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Bert Base Romanian Uncased V1 by dumitrescustefan

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Model Card on HF 🤗: https://huggingface.co/dumitrescustefan/bert-base-romanian-uncased-v1 

Bert Base Romanian Uncased V1 Benchmarks

LLME Score: 0.01583
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bert Base Romanian Uncased V1 (dumitrescustefan/bert-base-romanian-uncased-v1)

Bert Base Romanian Uncased V1 Parameters and Internals

Model Type 
fill-mask
Use Cases 
Areas:
research
Applications:
NLP tasks
Primary Use Cases:
Part of Speech tagging (UPOS, XPOS), Named Entity Recognition (NER)
Supported Languages 
Romanian (Native)
Training Details 
Data Sources:
OPUS, OSCAR, Wikipedia
Data Volume:
15GB after cleaning
Model Architecture:
base, uncased
Input Output 
Accepted Modalities:
text
Output Format:
encodings (hidden states)
Performance Tips:
Ensure text is sanitized by replacing cedilla 's' and 't' with comma versions.
LLM NameBert Base Romanian Uncased V1
Repository 🤗https://huggingface.co/dumitrescustefan/bert-base-romanian-uncased-v1 
Model Size125.1m
Required VRAM0.5 GB
Updated2025-04-30
Maintainerdumitrescustefan
Model Typebert
Model Files  0.5 GB   0.5 GB
Supported Languagesro
Model ArchitectureAutoModel
Licensemit
Context Length512
Model Max Length512
Vocabulary Size50000

Best Alternatives to Bert Base Romanian Uncased V1

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Bert Base Romanian Cased V10.5K / 0.5 GB537015
Note: green Score (e.g. "73.2") means that the model is better than dumitrescustefan/bert-base-romanian-uncased-v1.

Rank the Bert Base Romanian Uncased V1 Capabilities

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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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Release v20241227
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