🧠
Hcmus Phobert Vietnamese Restaurant Review Sentiment Analysis model by pqthinh232
⭐ 40.7
🧠
Model

Hcmus Phobert Vietnamese Restaurant Review Sentiment Analysis

by pqthinh232 hf-model--pqthinh232--hcmus-phobert-vietnamese-restaurant-review-sentiment-analysis
Nexus Index
40.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 13
R: Recency 97
Q: Quality 65
Tech Context
Vital Performance
217 DL / 30D
0.0%
Source →
Audited 40.7 FNI Score
Tiny - Params
- Context
217 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--pqthinh232--hcmus-phobert-vietnamese-restaurant-review-sentiment-analysis
License MIT
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__pqthinh232__hcmus_phobert_vietnamese_restaurant_review_sentiment_analysis,
  author = {pqthinh232},
  title = {Hcmus Phobert Vietnamese Restaurant Review Sentiment Analysis Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/pqthinh232/hcmus-phobert-vietnamese-restaurant-review-sentiment-analysis}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
pqthinh232. (2026). Hcmus Phobert Vietnamese Restaurant Review Sentiment Analysis [Model]. Free2AITools. https://huggingface.co/pqthinh232/hcmus-phobert-vietnamese-restaurant-review-sentiment-analysis

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download pqthinh232/hcmus-phobert-vietnamese-restaurant-review-sentiment-analysis
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
40.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 13
Recency (R) 97
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Hcmus Phobert Vietnamese Restaurant Review Sentiment Analysis: Semantic (S:50), Authority (A:0), Popularity (P:13), Recency (R:97), 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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Deployment Guide

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Technical Deep Dive

HCMUS-phobert-vietnamese-restaurant-review-sentiment-analysis

This model is a fine-tuned version of vinai/phobert-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6283
  • Accuracy: 0.8845
  • F1: 0.8607

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1.5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.9873 0.1222 200 0.7824 0.8270 0.7900
0.6597 0.2445 400 0.6377 0.8734 0.8334
0.6399 0.3667 600 0.7537 0.8557 0.7870
0.6362 0.4890 800 0.6054 0.8679 0.8403
0.6132 0.6112 1000 0.5884 0.8585 0.8429
0.6406 0.7335 1200 0.5991 0.8875 0.8574
0.5992 0.8557 1400 0.5831 0.8808 0.8539
0.5916 0.9780 1600 0.5686 0.8808 0.8621
0.5691 1.1002 1800 0.5800 0.8924 0.8698
0.5683 1.2225 2000 0.5851 0.8624 0.8470
0.5643 1.3447 2200 0.5906 0.8866 0.8618
0.5887 1.4670 2400 0.5844 0.8942 0.8688
0.5971 1.5892 2600 0.5786 0.8851 0.8629
0.5581 1.7115 2800 0.5765 0.8869 0.8659
0.5495 1.8337 3000 0.5933 0.8930 0.8669
0.5397 1.9560 3200 0.5960 0.8994 0.8724
0.5102 2.0782 3400 0.6174 0.8979 0.8678
0.5016 2.2005 3600 0.6031 0.8988 0.8729
0.5304 2.3227 3800 0.5951 0.8951 0.8700
0.4897 2.4450 4000 0.6145 0.9016 0.8730
0.4840 2.5672 4200 0.6013 0.9031 0.8784
0.5136 2.6895 4400 0.5970 0.9022 0.8793
0.5224 2.8117 4600 0.5911 0.8961 0.8746
0.5013 2.9340 4800 0.5969 0.9000 0.8766

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

⚠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.

View Original Source →

📝 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
217Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

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--pqthinh232--hcmus-phobert-vietnamese-restaurant-review-sentiment-analysis
slug
pqthinh232--hcmus-phobert-vietnamese-restaurant-review-sentiment-analysis
source
huggingface
author
pqthinh232
license
MIT
tags
transformers, safetensors, roberta, text-classification, generated_from_trainer, base_model:vinai/phobert-base, base_model:finetune:vinai/phobert-base, license:mit, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
text-classification

📊 Engagement & Metrics

downloads
217
stars
0
forks
0

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