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Roberta Base CoLA
A classification model fine-tuned on the GLUE dataset, suitable for natural language processing tasks
Downloads 20.76k
Release Time : 3/2/2022
Model Overview
This model was fine-tuned on the GLUE dataset for 5 epochs, primarily for text classification tasks, using cross-entropy loss for training.
Model Features
Efficient Fine-tuning
Achieves high accuracy with only 5 epochs of fine-tuning
Optimized Training
Uses a learning rate of 2e-05 and batch size of 32 for optimized training
Sequence Processing
Supports sequence processing up to 128 tokens in length
Model Capabilities
Text Classification
Natural Language Understanding
Use Cases
Text Analysis
Sentiment Analysis
Classifies text into sentiment categories
Topic Classification
Categorizes text into predefined topic classes
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