---
tags:
- generated_from_trainer
datasets:
- coco_dataset_script
metrics:
- rouge
model-index:
- name: image-captioning-output
  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. -->

# image-captioning-output

This model is a fine-tuned version of [](https://huggingface.co/) on the coco_dataset_script dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2022
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.2359        | 1.0   | 739  | 0.1911          | 0.0    | 0.0    | 0.0    | 0.0       |
| 0.2169        | 2.0   | 1478 | 0.2022          | 0.0    | 0.0    | 0.0    | 0.0       |
| 0.1739        | 3.0   | 2217 | 0.2022          | 0.0    | 0.0    | 0.0    | 0.0       |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2