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xlm-r_georgian_sentiment
DGurgurov/xlm-r_georgian_sentiment
xlm-r_georgian_sentiment is a text classification model from DGurgurov. Use it when you need a label for a piece of text. It is set up for transformers.
This is a fine-tuned XLM-R model for sentiment analysis in georgian.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024
- SHA
- e14cfa2e
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Model card
From the Hugging Face model README
Fine-tuned XLM-R Model for georgian Sentiment Analysis
This is a fine-tuned XLM-R model for sentiment analysis in georgian.
Model Details
- Model Name: XLM-R Sentiment Analysis
- Language: georgian
- Fine-tuning Dataset: DGurgurov/georgian_sa
Training Details
- Epochs: 20
- Batch Size: 32 (train), 64 (eval)
- Optimizer: AdamW
- Learning Rate: 5e-5
Performance Metrics
- Accuracy: 0.86061
- Macro F1: 0.86009
- Micro F1: 0.86061
Usage
To use this model, you can load it with the Hugging Face Transformers library:
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("DGurgurov/xlm-r_georgian_sentiment")
model = AutoModelForSequenceClassification.from_pretrained("DGurgurov/xlm-r_georgian_sentiment")
License
[MIT]
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024