# SageMaker Optimization

A fine-tuned model optimized for Spanish sentiment analysis, based on BETO (a Spanish pre-trained BERT model), suitable for text sentiment classification tasks such as movie reviews.

This model is a fine-tuned version of Salesforce's BLIP image captioning base model on the SageMaker platform, primarily used for image caption generation tasks.

This is a DistilBERT model fine-tuned on the IMDB movie review dataset for text sentiment analysis tasks.

A lightweight dialogue summarization model fine-tuned on the SAMSum dataset, trained using Amazon SageMaker and Hugging Face containers

A dialogue summarization model based on the BART-large architecture, fine-tuned specifically for the SAMSum corpus, suitable for generating dialogue summaries.