| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: ignore_mode | |
| 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. --> | |
| # ignore_mode | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.5796 | |
| - Rouge1: 0.2492 | |
| - Rouge2: 0.0635 | |
| - Rougel: 0.1573 | |
| - Rougelsum: 0.1574 | |
| - Gen Len: 80.4 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | No log | 1.0 | 1 | 2.6776 | 0.2291 | 0.0618 | 0.1425 | 0.1427 | 85.4 | | |
| | No log | 2.0 | 2 | 2.5796 | 0.2492 | 0.0635 | 0.1573 | 0.1574 | 80.4 | | |
| ### Framework versions | |
| - Transformers 4.27.2 | |
| - Pytorch 2.1.1 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 | |