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French Albert Base Cased

Developed by cservan
ALBERT base model pre-trained on French Wikipedia, supports case sensitivity, suitable for French NLP tasks.
Downloads 38
Release Time : 3/2/2022

Model Overview

Transformer model pre-trained on French text through self-supervised learning, supports masked language modeling and sentence order prediction tasks, suitable for downstream task fine-tuning.

Model Features

Case Sensitivity
Distinguishes from other ALBERT models by accurately recognizing case differences (e.g., 'french' vs. 'French').
Parameter Efficiency
Utilizes ALBERT's weight-sharing mechanism, significantly reducing the number of parameters (only 11 million) while maintaining performance.
Bidirectional Context Understanding
Learns bidirectional text representations through masked language modeling objectives.

Model Capabilities

French text feature extraction
Masked word prediction
Sentence order judgment
Downstream task fine-tuning

Use Cases

Semantic Understanding
Slot Filling
Identifies key information segments in user utterances for dialogue systems.
Achieved 85.09 accuracy on the MEDIA dataset.
Text Classification
Sentiment Analysis
Classifies French reviews into positive/negative sentiments.
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