| --- |
| library_name: transformers |
| license: mit |
| base_model: LearneratVnit/bart-summarizer |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: bart-summarizer |
| 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. --> |
|
|
| # bart-summarizer |
|
|
| This model is a fine-tuned version of [LearneratVnit/bart-summarizer](https://huggingface.co/LearneratVnit/bart-summarizer) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.3295 |
| - Rouge1: 0.33 |
| - Rouge2: 0.0688 |
| - Rougel: 0.205 |
| - Rougelsum: 0.2847 |
| - Gen Len: 129.5045 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:| |
| | 2.4379 | 0.9992 | 622 | 2.3295 | 0.33 | 0.0688 | 0.205 | 0.2847 | 129.5045 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.44.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.19.1 |
| |
