| license: apache-2.0 | |
| tags: | |
| - summarization | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: t5-base-news_headlines | |
| 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. --> | |
| # t5-base-news_headlines | |
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.3410 | |
| - Rouge1: 46.4521 | |
| - Rouge2: 24.9007 | |
| - Rougel: 42.9424 | |
| - Rougelsum: 42.9372 | |
| ## 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: 5.6e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | |
| | 1.998 | 1.0 | 1531 | 1.5026 | 44.212 | 22.1651 | 40.451 | 40.4731 | | |
| | 1.623 | 2.0 | 3062 | 1.3570 | 45.7336 | 23.7265 | 42.0134 | 42.0147 | | |
| | 1.4767 | 3.0 | 4593 | 1.3410 | 46.4521 | 24.9007 | 42.9424 | 42.9372 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |