Distilbert Base Uncased Becas 2
Model fine-tuned on distilbert-base-uncased using the becasv2 dataset, with a validation loss of 5.9506
Downloads 16
Release Time : 6/29/2022
Model Overview
This model is a fine-tuned version of DistilBERT, primarily used for text-related tasks. Specific applications require further information.
Model Features
Lightweight BERT
Based on the DistilBERT architecture, more lightweight and efficient than standard BERT
Domain fine-tuning
Fine-tuned on the becasv2 dataset, potentially possessing domain-specific capabilities
Model Capabilities
Text understanding
Text classification (inference)
Text feature extraction (inference)
Use Cases
Natural Language Processing
Text classification
Potentially suitable for domain-specific text classification tasks
Validation loss 5.9506
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