🧠
Bm Xlm Roberta Base model by djelia
⭐ 39.5
🧠
Model

Bm Xlm Roberta Base

by djelia hf-model--djelia--bm-xlm-roberta-base
Nexus Index
39.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 18
R: Recency 85
Q: Quality 65
Tech Context
Vital Performance
368 DL / 30D
0.0%
Source →
Audited 39.5 FNI Score
Tiny - Params
- Context
368 Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--djelia--bm-xlm-roberta-base
Provider huggingface
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Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__djelia__bm_xlm_roberta_base,
  author = {djelia},
  title = {Bm Xlm Roberta Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/djelia/bm-xlm-roberta-base}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
djelia. (2026). Bm Xlm Roberta Base [Model]. Free2AITools. https://huggingface.co/djelia/bm-xlm-roberta-base

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download djelia/bm-xlm-roberta-base
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 18
Recency (R) 85
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Bm Xlm Roberta Base: Semantic (S:50), Authority (A:0), Popularity (P:18), Recency (R:85), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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Technical Deep Dive

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This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an 11M words Bambara dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1160
  • Accuracy: 0.7599

⚠ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
368Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
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AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--djelia--bm-xlm-roberta-base
slug
djelia--bm-xlm-roberta-base
source
huggingface
author
djelia
license
tags
transformers, safetensors, xlm-roberta, fill-mask, bm, base_model:facebookai/xlm-roberta-base, base_model:finetune:facebookai/xlm-roberta-base, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
fill-mask

📊 Engagement & Metrics

downloads
368
stars
0
forks
0

Data indexed from public sources. Updated daily.