| --- |
| 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 |
| |
