---
license: apache-2.0
base_model: NourFakih/image-captioning-Vit-GPT2-Flickr8k
tags:
- generated_from_trainer
model-index:
- name: Vit-GPT2-COCO2017Sample-Flickr8k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Vit-GPT2-COCO2017Sample-Flickr8k

This model is a fine-tuned version of [NourFakih/image-captioning-Vit-GPT2-Flickr8k](https://huggingface.co/NourFakih/image-captioning-Vit-GPT2-Flickr8k) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2359
- eval_rouge1: 40.7947
- eval_rouge2: 15.3254
- eval_rougeL: 36.9574
- eval_rougeLsum: 36.9431
- eval_gen_len: 11.504
- eval_runtime: 588.289
- eval_samples_per_second: 4.25
- eval_steps_per_second: 1.062
- epoch: 2.25
- step: 14000

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2