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Roberta Base Mnli Uf Ner 1024 Train V0
A fine-tuned version of the RoBERTa-base model on the MNLI dataset, suitable for natural language inference tasks
Downloads 26
Release Time : 10/24/2022
Model Overview
This model is a fine-tuned version of mariolinml/roberta-base_fullMnli_10_24_v0, primarily used for natural language processing tasks, with specific functionalities requiring further confirmation
Model Features
Based on RoBERTa Architecture
Utilizes the powerful RoBERTa-base model as the foundational architecture
MNLI Fine-tuning
Fine-tuned on the MNLI (Multi-Genre Natural Language Inference) dataset
Linear Learning Rate Scheduling
Employs a linear learning rate scheduling strategy during training
Model Capabilities
Natural Language Inference
Text Classification
Semantic Understanding
Use Cases
Text Analysis
Textual Entailment Judgment
Determine the logical relationship between two sentences (entailment, contradiction, or neutral)
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