| license: apache-2.0 | |
| tags: | |
| - summarization | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: t5-small-finetuned-multi-news | |
| 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-small-finetuned-multi-news | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.9807 | |
| - Rouge1: 14.227 | |
| - Rouge2: 4.3001 | |
| - Rougel: 10.7052 | |
| - Rougelsum: 12.5784 | |
| ## 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: 4 | |
| - eval_batch_size: 4 | |
| - 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| | |
| | 3.489 | 1.0 | 250 | 3.0402 | 14.1245 | 4.3869 | 10.6829 | 12.78 | | |
| | 3.2405 | 2.0 | 500 | 2.9928 | 14.0471 | 4.1959 | 10.6048 | 12.4612 | | |
| | 3.1865 | 3.0 | 750 | 2.9807 | 14.227 | 4.3001 | 10.7052 | 12.5784 | | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 | |