# Mini-batch optimization

A speech processing model fine-tuned based on microsoft/wavLM-base, achieving 99.62% accuracy on the evaluation set

A speech processing model fine-tuned based on microsoft/wavlm-large, achieving 75% accuracy on the evaluation set

A fine-tuned version of the bert-base-uncased model, suitable for specific task processing

A fine-tuned version based on the BERT base model, specific use case and training data details are currently unknown

A Russian model fine-tuned on an unspecified dataset based on roberta-retrained_ru_covid, potentially related to processing COVID-19 research papers

GPT-2 large model fine-tuned based on bert-base-uncased, specializing in Python code-related issues

A Serbian language base model based on the DistilBERT architecture, fine-tuned on the OSCAR dataset, suitable for masked language modeling tasks.