metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
model-index:
- name: summary_tutorial
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
config: en
split: train
args: en
metrics:
- name: Rouge1
type: rouge
value: 19.4358
summary_tutorial
This model is a fine-tuned version of t5-base on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 2.8504
- Rouge1: 19.4358
- Rouge2: 10.0475
- Rougel: 18.6327
- Rougelsum: 18.648
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.867 | 1.0 | 771 | 2.7687 | 18.7278 | 10.8323 | 17.9617 | 17.8262 |
| 2.5363 | 2.0 | 1542 | 2.7741 | 18.4642 | 10.2431 | 17.8719 | 17.7799 |
| 2.3516 | 3.0 | 2313 | 2.7578 | 18.4591 | 9.5235 | 18.0114 | 17.8761 |
| 2.216 | 4.0 | 3084 | 2.7938 | 20.2372 | 10.7222 | 19.5686 | 19.5045 |
| 2.0929 | 5.0 | 3855 | 2.7981 | 19.536 | 10.0232 | 18.7119 | 18.7774 |
| 2.0 | 6.0 | 4626 | 2.8229 | 18.5138 | 9.6349 | 17.7119 | 17.782 |
| 1.9479 | 7.0 | 5397 | 2.8397 | 19.3795 | 10.0475 | 18.5904 | 18.532 |
| 1.9031 | 8.0 | 6168 | 2.8504 | 19.4358 | 10.0475 | 18.6327 | 18.648 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2