# Multi-metric Evaluation

A text classification model fine-tuned based on distilbert-base-uncased, trained for specific tasks.

This model employs an improved VNet architecture for 2D image processing, focusing on image-to-image translation tasks with adversarial and aesthetic optimization features.

A pre-trained model for sentence similarity calculation, capable of converting sentences into embedded representations in a high-dimensional vector space and computing their semantic similarity.

A legal case analysis model fine-tuned based on InLegalBERT, specialized for legal text processing tasks

This is a BERT-based medical text summarization model that supports English text processing, suitable for automatic summary generation of medical literature and reports.

A malicious URL detection model fine-tuned based on microsoft/codebert-base for multi-classification tasks

A speech emotion recognition model fine-tuned based on facebook/wav2vec2-base, used to predict the speaker's emotions in audio samples.

German text classification model fine-tuned based on bert-base-german-cased

This model is a fine-tuned version of distilbert-base-uncased on a specific dataset, primarily designed for Named Entity Recognition (NER) tasks.

A T5-base fine-tuned joint model for question generation and answer extraction, supporting English text processing