Downloads · 30 days
1
3% of all-time downloads
xlm-roberta-se-sentiment
reinforcer/xlm-roberta-se-sentiment
xlm-roberta-se-sentiment is a text classification model from reinforcer. Use it when you need a label for a piece of text. It is set up for transformers.
Base Model: xlm-roberta-base Model Name: reinforcer/xlm-roberta-se-sentiment-analysis Task: Text Classification (Sentiment Analysis) Languages: English + Multilingual capabilities Training Parameters: - Learning Rate:…
All-time downloads
32
Public
Parameters
278M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 11, 2025
- Updated
- May 11, 2025
- SHA
- 842c15d9
Try a prompt
Base models
Model card
From the Hugging Face model README
Model Card for reinforcer/xlm-roberta-se-sentiment-analysis
Model Details
Base Model: xlm-roberta-base
Model Name: reinforcer/xlm-roberta-se-sentiment-analysis
Task: Text Classification (Sentiment Analysis)
Languages: English + Multilingual capabilities
Training Parameters:
- Learning Rate: 3e-05
- Epochs: 5
Evaluation Results
| Metric | Score |
|---|---|
| Accuracy | 89.2% |
| Precision | 89.2% |
| Recall | 89.2% |
| F1 Score | 88.9% |
Usage
from transformers import pipeline
# For private repo access, add token="your_hf_token_here"
analyzer = pipeline(
"text-classification",
model="reinforcer/xlm-roberta-se-sentiment"
)
results = analyzer("Your text for sentiment analysis here")
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Languages
- en
- Created
- May 11, 2025
- Updated
- May 11, 2025