# Small Batch Training

This model is a fine-tuned version of microsoft/dit-base-finetuned-rvlcdip on an image folder dataset, primarily used for image classification tasks.

A video classification model fine-tuned on a subset of UCF101 based on the VideoMAE base model

A ViT model fine-tuned on the preprocessed 1024 configuration dataset for image classification tasks

An image classification model fine-tuned on the sudo-s/herbier_mesuem1 dataset based on google/vit-base-patch16-224-in21k, achieving 91.29% accuracy

An image classification model fine-tuned on the sudo-s/herbier_mesuem1 dataset based on google/vit-base-patch16-224-in21k

A speech recognition model based on the wav2vec2 architecture, trained on the TORGO dataset, but with limited details on training specifics and performance.

This model is a fine-tuned Spanish sentiment analysis model based on glob-asr/xls-r-es-test-lm, achieving an accuracy of 23.85% on the evaluation set.

Fine-tuned model based on the GPT-2 architecture, optimized for specific tasks

This model is a speech recognition model trained on the LibriSpeech ASR dataset, capable of converting speech to text.