---
license: apache-2.0
tags:
- generated_from_trainer
base_model: nlpconnect/vit-gpt2-image-captioning
model-index:
- name: Vit-GPT2-COCO2017Flickr-40k-05
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Vit-GPT2-COCO2017Flickr-40k-05

This model is a fine-tuned version of [nlpconnect/vit-gpt2-image-captioning](https://huggingface.co/nlpconnect/vit-gpt2-image-captioning) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4538
- eval_rouge1: 40.9181
- eval_rouge2: 15.4173
- eval_rougeL: 37.4698
- eval_rougeLsum: 37.4858
- eval_gen_len: 10.9143
- eval_runtime: 302.1813
- eval_samples_per_second: 9.928
- eval_steps_per_second: 2.482
- epoch: 0.35
- step: 3500

## 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