---
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: 0.3319
- Rouge1: 21.9307
- Rouge2: 4.1909
- Rougel: 20.068
- Rougelsum: 19.9653
- Gen Len: 12.0625

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 20   | 0.3359          | 18.236  | 0.5556 | 18.2694 | 18.255    | 7.0     |
| No log        | 2.0   | 40   | 0.3315          | 19.2924 | 3.6258 | 18.3375 | 18.3568   | 14.1875 |
| No log        | 3.0   | 60   | 0.3319          | 21.9307 | 4.1909 | 20.068  | 19.9653   | 12.0625 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0