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All Distilroberta V1 Finetuned DIT 10 Epochs
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All Distilroberta V1 Finetuned DIT 10 Epochs

Developed by veddm
Text embedding model fine-tuned from all-distilroberta-v1, trained for 10 epochs with a validation loss of 0.0044
Text Embedding
Transformers
Open Source License:Apache-2.0#Text Embedding Optimization#Lightweight RoBERTa#Semantic Similarity Calculation
Downloads 25
Release Time : 4/13/2022

Model Overview

This model is a lightweight text embedding model based on the DistilRoBERTa architecture, suitable for generating high-quality sentence vector representations. The fine-tuned version is optimized for specific tasks.

Model Features

Efficient and Lightweight
Based on the DistilRoBERTa architecture, reducing model size while maintaining performance
Fine-tuning Optimization
Fine-tuned for 10 epochs, achieving a low validation loss of 0.0044 on the target dataset
High-quality Embeddings
Capable of generating semantically rich sentence vector representations

Model Capabilities

Text Vectorization
Semantic Similarity Calculation
Sentence Embedding Generation

Use Cases

Information Retrieval
Semantic Search
Document retrieval system based on semantic similarity
Text Analysis
Clustering Analysis
Automatic grouping of similar texts
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