---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-kitchen-reviews
  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: 19.1669
---

<!-- 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. -->

# mt5-small-finetuned-amazon-en-kitchen-reviews

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0960
- Rouge1: 19.1669
- Rouge2: 10.8937
- Rougel: 18.6296
- Rougelsum: 18.7486

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 13.803        | 1.0   | 827  | 2.4239          | 1.7983  | 0.0     | 1.8317  | 1.7854    |
| 1.938         | 2.0   | 1654 | 1.2836          | 14.9804 | 4.7997  | 14.3848 | 14.4255   |
| 1.2922        | 3.0   | 2481 | 1.1718          | 16.3574 | 7.2689  | 15.6126 | 15.5685   |
| 1.1463        | 4.0   | 3308 | 1.1265          | 17.6554 | 8.9813  | 17.1575 | 17.2073   |
| 1.078         | 5.0   | 4135 | 1.1085          | 19.2978 | 11.5604 | 18.8279 | 18.9399   |
| 1.0453        | 6.0   | 4962 | 1.1070          | 19.3828 | 11.0161 | 18.7636 | 18.9002   |
| 1.0233        | 7.0   | 5789 | 1.1004          | 19.0604 | 10.5071 | 18.341  | 18.4669   |
| 1.012         | 8.0   | 6616 | 1.0960          | 19.1669 | 10.8937 | 18.6296 | 18.7486   |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1