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phobert_vietnamese_sentiment_analysis – AI Model by edith81 | AlphaNeural AI

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edith81/
phobert_vietnamese_sentiment_analysis

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thainq107/vi-ntc-scv

vinai/phobert-base-v2

endpoints_compatible

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🇻🇳 PhoBERT Vietnamese Sentiment Analysis (with LoRA)

This model is a fine-tuned version of VinAI/phobert-base using LoRA (Low-Rank Adaptation) for Vietnamese sentiment classification.

It is trained on a Vietnamese dataset to classify sentiments into positive, negative.

🧠 Model Architecture

Base: PhoBERT (VinAI/phobert-base)
Fine-tuning technique: LoRA via PEFT
Task: Sequence Classification (TaskType.SEQ_CLS)

🔧 LoRA Config

python

LoraConfig(
    r=16,
    lora_alpha=32,
    target_modules=["query", "value"],
    lora_dropout=0.1,
    bias="none",
    task_type=TaskType.SEQ_CLS
)