Downloads · 30 days
10
37% of all-time downloads
phobert-large-cv-skill-jd-req-match
lengocquangLAB/phobert-large-cv-skill-jd-req-match
phobert-large-cv-skill-jd-req-match is a machine learning model from lengocquangLAB. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a PhoBERT-Large fine-tuned with LoRA for sequence classification. It can be used to predict if a CV skill matches a job description.
All-time downloads
27
Public
Parameters
369M
13.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.5 GB · 100%
At a glance
- Model type
- roberta
- Access
- Public
- Created
- Sep 12, 2025
- Updated
- Sep 17, 2025
- SHA
- 328ebd82
Model card
From the Hugging Face model README
PhoBERT Large Fine-tuned for CV-Skill to Job Description Matching
This model is a PhoBERT-Large fine-tuned with LoRA for sequence classification.
It can be used to predict if a CV skill matches a job description.
Training Details
- Base model: vinai/phobert-large
- Task: Sequence Classification (2 labels)
- LoRA config: r=16, lora_alpha=32, target_modules=["query", "key", "value", "output.dense"], lora_dropout=0.05
- Optimizer: AdamW, lr=2e-4
- Batch size: 120 (gradient accumulation 4)
- Epochs: 8
- Metrics: F1-score
- Framework: HuggingFace Transformers + PEFT
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("lengocquangLAB/phobert-large-cv-skill-jd-req-match")
model = AutoModelForSequenceClassification.from_pretrained("lengocquangLAB/phobert-large-cv-skill-jd-req-match")
inputs = tokenizer("CV skill text", "Job description text", return_tensors="pt")
outputs = model(**inputs)
pred = outputs.logits.argmax(dim=-1)
print(pred)
- Type
- roberta
- Created
- Sep 12, 2025
- Updated
- Sep 17, 2025