| | --- |
| | license: apache-2.0 |
| | tags: |
| | - summarization |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: t5-small-finetuned-eLife |
| | 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-eLife |
| |
|
| | 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: 2.8960 |
| | - Rouge1: 14.7239 |
| | - Rouge2: 2.8698 |
| | - Rougel: 11.0202 |
| | - Rougelsum: 13.3642 |
| | - Gen Len: 19.0 |
| |
|
| | ## 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: 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 | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | | 3.3558 | 1.0 | 544 | 2.9587 | 13.7915 | 2.6556 | 10.3265 | 12.5097 | 19.0 | |
| | | 3.1299 | 2.0 | 1088 | 2.9079 | 14.7136 | 2.7492 | 10.836 | 13.3664 | 19.0 | |
| | | 3.0917 | 3.0 | 1632 | 2.8960 | 14.7239 | 2.8698 | 11.0202 | 13.3642 | 19.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.1 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| |
|
