---
library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
model-index:
- name: scenegraph_image_captioning
  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. -->

# scenegraph_image_captioning

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an `ViVG-Scene-Graph` dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3994
- Bleu4: 10.148

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 350
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu4   |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 3.6494        | 1.0   | 4625  | 3.6095          | 8.3269  |
| 3.4809        | 2.0   | 9250  | 3.4953          | 9.0764  |
| 3.2703        | 3.0   | 13875 | 3.4439          | 9.185   |
| 3.3438        | 4.0   | 18500 | 3.4134          | 10.023  |
| 3.2965        | 5.0   | 23125 | 3.3911          | 10.0925 |
| 3.2711        | 6.0   | 27750 | 3.3830          | 10.4298 |
| 3.1469        | 7.0   | 32375 | 3.3745          | 10.5282 |
| 3.1113        | 8.0   | 37000 | 3.3760          | 10.292  |
| 3.0507        | 9.0   | 41625 | 3.3739          | 10.7014 |
| 3.0794        | 10.0  | 46250 | 3.3767          | 10.4073 |
| 3.0509        | 11.0  | 50875 | 3.3793          | 10.3126 |
| 3.0570        | 12.0  | 55500 | 3.3880          | 10.2934 |
| 2.9785        | 13.0  | 60125 | 3.3865          | 10.2243 |
| 2.9636        | 14.0  | 64750 | 3.3994          | 10.148  |


### Framework versions

- Transformers 5.10.2
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2