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xlm-r_swahili_sentiment – AI Model by DGurgurov | AlphaNeural AI

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DGurgurov/
xlm-r_swahili_sentiment

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text-classification

autotrain_compatible

endpoints_compatible

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Fine-tuned XLM-R Model for swahili Sentiment Analysis

This is a fine-tuned XLM-R model for sentiment analysis in swahili.

Model Details

Model Name: XLM-R Sentiment Analysis
Language: swahili
Fine-tuning Dataset: DGurgurov/swahili_sa

Training Details

Epochs: 20
Batch Size: 32 (train), 64 (eval)
Optimizer: AdamW
Learning Rate: 5e-5

Performance Metrics

Accuracy: 0.73684
Macro F1: 0.42424
Micro F1: 0.73684

Usage

To use this model, you can load it with the Hugging Face Transformers library:

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("DGurgurov/xlm-r_swahili_sentiment")
model = AutoModelForSequenceClassification.from_pretrained("DGurgurov/xlm-r_swahili_sentiment")

License

[MIT]