| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: sum_model |
| 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. --> |
|
|
| # sum_model |
| |
| This model was trained from scratch on the None dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 2.3716 |
| - eval_rouge1: 0.1884 |
| - eval_rouge2: 0.0617 |
| - eval_rougeL: 0.1504 |
| - eval_rougeLsum: 0.1505 |
| - eval_gen_len: 18.8567 |
| - eval_runtime: 68.4902 |
| - eval_samples_per_second: 21.901 |
| - eval_steps_per_second: 1.095 |
| - epoch: 2.0 |
| - step: 2142 |
| |
| ## 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: 20 |
| - eval_batch_size: 20 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
| |
| ### Framework versions |
| |
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| |
