| | --- |
| | base_model: pietrocagnasso/bart-paper-titles |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: results |
| | 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. --> |
| |
|
| | # results |
| |
|
| | This model is a fine-tuned version of [pietrocagnasso/bart-paper-titles](https://huggingface.co/pietrocagnasso/bart-paper-titles) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 1.8363 |
| | - eval_rouge1: 0.2932 |
| | - eval_rouge2: 0.1496 |
| | - eval_rougeL: 0.2387 |
| | - eval_rougeLsum: 0.2387 |
| | - eval_gen_len: 59.7278 |
| | - eval_runtime: 6791.8637 |
| | - eval_samples_per_second: 3.975 |
| | - eval_steps_per_second: 0.124 |
| | - epoch: 2.0 |
| | - step: 3375 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.19.1 |
| | |
