| --- |
| library_name: transformers |
| license: bsd-3-clause |
| base_model: pszemraj/led-base-book-summary |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: device |
| 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. --> |
|
|
| # device |
|
|
| This model is a fine-tuned version of [pszemraj/led-base-book-summary](https://huggingface.co/pszemraj/led-base-book-summary) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.3904 |
| - eval_rouge1: 0.7978 |
| - eval_rouge2: 0.6772 |
| - eval_rougeL: 0.7545 |
| - eval_rougeLsum: 0.7544 |
| - eval_gen_len: 66.6569 |
| - eval_runtime: 455.2333 |
| - eval_samples_per_second: 2.408 |
| - eval_steps_per_second: 0.301 |
| - epoch: 7.0 |
| - step: 3836 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - 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 |
| - num_epochs: 8 |
| - mixed_precision_training: Native AMP |
| |
| ### Framework versions |
| |
| - Transformers 4.57.0 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
| |
