---
license: apache-2.0
tags:
- Summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
base_model: t5-small
model-index:
- name: t5-finetuned-amazon-english
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: amazon_reviews_multi
      type: amazon_reviews_multi
      config: en
      split: train
      args: en
    metrics:
    - type: rouge
      value: 19.1814
      name: Rouge1
---

<!-- 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-finetuned-amazon-english

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1713
- Rouge1: 19.1814
- Rouge2: 9.8673
- Rougel: 18.1982
- Rougelsum: 18.2963

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.3583        | 1.0   | 771  | 3.2513          | 16.6865 | 9.0598 | 15.8299 | 15.8472   |
| 3.1022        | 2.0   | 1542 | 3.2147          | 16.8499 | 9.4849 | 16.1568 | 16.2437   |
| 3.0067        | 3.0   | 2313 | 3.1718          | 16.9516 | 8.762  | 16.104  | 16.2186   |
| 2.9482        | 4.0   | 3084 | 3.1854          | 18.9582 | 9.5416 | 18.0846 | 18.2938   |
| 2.8934        | 5.0   | 3855 | 3.1669          | 18.857  | 9.934  | 17.9027 | 18.0272   |
| 2.8389        | 6.0   | 4626 | 3.1782          | 18.6736 | 9.326  | 17.6943 | 17.8852   |
| 2.8174        | 7.0   | 5397 | 3.1709          | 18.4342 | 9.6936 | 17.5714 | 17.6516   |
| 2.8           | 8.0   | 6168 | 3.1713          | 19.1814 | 9.8673 | 18.1982 | 18.2963   |


### Framework versions

- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1