| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | - summarization |
| | datasets: |
| | - xsum |
| | - autoevaluate/xsum-sample |
| | metrics: |
| | - rouge |
| | duplicated_from: autoevaluate/summarization |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # summarization |
| |
|
| | This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.6690 |
| | - Rouge1: 23.9405 |
| | - Rouge2: 5.0879 |
| | - Rougel: 18.4981 |
| | - Rougelsum: 18.5032 |
| | - Gen Len: 18.7376 |
| |
|
| | ## 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 |
| | - training_steps: 1000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | | 2.9249 | 0.08 | 1000 | 2.6690 | 23.9405 | 5.0879 | 18.4981 | 18.5032 | 18.7376 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.19.2 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.2.2 |
| | - Tokenizers 0.12.1 |
| |
|
