---
language:
- en
metrics:
- Bleu_1 0.604
- Bleu_2 0.415
- Bleu_3 0.273
- Bleu_4 0.179
- METEOR 0.188
- ROUGE_L 0.445
- CIDEr 0.526
- SPICE 0.113
datasets:
- MSCOCO2014
license: mit
---
# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

- **Developed by:** [Pasindu Akalpa](https://github.com/pAkalpa)
- **Model type:** CNN(ENCODER)-RNN(DECODER)
- **Language(s) (NLP):** ENGLISH(US)
- **License:** [MIT]

## Evaluation

#### Metrics

- Bleu_1 = 0.604
- Bleu_2 = 0.415
- Bleu_3 = 0.273
- Bleu_4 = 0.179
- METEOR = 0.188
- ROUGE_L = 0.445
- CIDEr = 0.526
- SPICE = 0.113

### Model Architecture and Objective

- Encoder-Decoder Architecture

### Compute Infrastructure

#### Hardware

- GPU = Google Colab V100 GPU
- RAM = 12GB

#### Software

- python
- pytorch
- jupyter-notebook

## Model Card Contact

[pasinduakalpa1998@gmail.com](mailto:pasinduakalpa1998@gmail.com)