distilvit (ONNX)

This is an ONNX version of Mozilla/distilvit. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for image-to-text: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.ImageToTextPipeline

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distilvit

This model is a work in progress. Fine-tuned version of those base models:

• a VIT model for the image encoder: https://huggingface.co/google/vit-base-patch16-224-in21k
• a Distilled GPT-2 model for the text decoder: https://huggingface.co/distilbert/distilgpt2

This model was trained on:

• A debiased version of COCO 2017
• A debiased version of Flickr30k
• Images from pexels
• DocOrNot
• Alt Text Validation

You can find the code used to create the model here: https://github.com/mozilla/distilvit

training results

{
 "train/loss": 0.0781,
 "train/learning_rate": 0.00003793103448275862,
 "train/epoch": 2.41,
 "train/global_step": 700,
 "eval/loss": 0.09741172194480896,
 "eval/rouge1": 60.382,
 "eval/rouge2": 38.0754,
 "eval/rougeL": 56.9132,
 "eval/rougeLsum": 56.9214,
 "eval/meteor": 0.5448683804505693,
 "eval/gen_len": 9.864678265672467,
 "eval/runtime": 343.0443,
 "eval/samples_per_second": 10.555,
 "eval/steps_per_second": 0.108,
 "train/train_runtime": 10567.9413,
 "train/train_samples_per_second": 27.414,
 "train/train_steps_per_second": 0.274,
 "train/total_flos": 9039628706135409000,
 "train/train_loss": 0.09852950266429356,
}

Base model

google/vit-base-patch16-224-in21k

Mozilla/distilvit

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