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library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
model-index:
- name: scenegraph_image_captioning_vi
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_vi
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1815
- Bleu4: 16.1492
## 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: 48
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 96
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 | Bleu4 | Validation Loss |
|:-------------:|:-----:|:-----:|:-------:|:---------------:|
| 3.5137 | 1.0 | 3083 | 11.8025 | 3.4747 |
| 3.3145 | 2.0 | 6166 | 13.309 | 3.3252 |
| 3.1957 | 3.0 | 9249 | 14.2144 | 3.2632 |
| 3.1449 | 4.0 | 12332 | 14.8718 | 3.2247 |
| 3.1078 | 5.0 | 15415 | 15.1815 | 3.1963 |
| 3.0352 | 6.0 | 18498 | 15.2137 | 3.1796 |
| 3.0147 | 7.0 | 21581 | 15.7702 | 3.1697 |
| 2.971 | 8.0 | 24664 | 16.0201 | 3.1662 |
| 2.9144 | 9.0 | 27747 | 16.1495 | 3.1623 |
| 2.9037 | 10.0 | 30830 | 16.0747 | 3.1611 |
| 2.9178 | 11.0 | 33913 | 16.2077 | 3.1575 |
| 2.8687 | 12.0 | 36996 | 16.1345 | 3.1594 |
| 2.8426 | 13.0 | 40079 | 16.2958 | 3.1618 |
| 2.8058 | 14.0 | 43162 | 16.2391 | 3.1639 |
| 2.814 | 15.0 | 46245 | 16.341 | 3.1722 |
| 2.782 | 16.0 | 49328 | 3.1683 | 16.0129 |
| 2.7853 | 17.0 | 52411 | 3.1772 | 16.1951 |
| 2.7313 | 18.0 | 55494 | 3.1846 | 16.0554 |
| 2.7525 | 19.0 | 58577 | 3.1876 | 16.0271 |
| 2.7183 | 20.0 | 61660 | 3.1815 | 16.1492 |
### Framework versions
- Transformers 4.51.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
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