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Nbme Roberta Large
N
Nbme Roberta Large
Developed by smeoni
A model fine-tuned based on roberta-large for specific task processing, with an evaluation loss value of 0.7825
Downloads 35
Release Time : 4/19/2022
Model Overview
This model is a fine-tuned version of roberta-large on an unspecified dataset, primarily used for text processing tasks, with specific applications requiring further confirmation.
Model Features
Fine-tuned based on RoBERTa-large
Utilizes the powerful RoBERTa-large architecture for fine-tuning, potentially inheriting its excellent text comprehension capabilities
Low validation loss
Achieved a loss value of 0.7825 on the evaluation set, indicating good performance on specific tasks
Model Capabilities
Text Processing
Natural Language Understanding
Use Cases
Text Analysis
Domain-specific Text Processing
Potentially applicable to text analysis tasks in fields such as healthcare and law
Evaluation loss 0.7825
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