Bert Base Uncased 2 Finetuned RRamicus
This model is a fine-tuned version of bert-base-uncased, with no specific fine-tuning task or dataset information provided.
Downloads 16
Release Time : 4/14/2022
Model Overview
A fine-tuned model based on the BERT architecture, suitable for natural language processing tasks. Specific applications require further details.
Model Features
BERT Base Architecture
Based on the proven BERT architecture with strong language understanding capabilities.
Domain Fine-tuning
Fine-tuned on a specific dataset (domain not specified).
Linear Learning Rate Scheduling
Uses a linear learning rate scheduling strategy during training.
Model Capabilities
Text understanding
Text classification (inference)
Sequence labeling (inference)
Use Cases
Natural Language Processing
Text Classification
Can be used for text classification tasks.
Validation loss 1.4671 (specific metrics require further details).
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