---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
model-index:
- name: mt5-small-amrit-finetuned-amazon-en
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: amazon_reviews_multi
      type: amazon_reviews_multi
      args: en
    metrics:
    - name: Rouge1
      type: rouge
      value: 15.4603
---

<!-- 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-amrit-finetuned-amazon-en

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: 3.3112
- Rouge1: 15.4603
- Rouge2: 7.1882
- Rougel: 15.2221
- Rougelsum: 15.1231

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 8.7422        | 1.0   | 771  | 3.6517          | 12.9002 | 4.8601 | 12.6743 | 12.6561   |
| 4.1322        | 2.0   | 1542 | 3.4937          | 14.1146 | 6.5433 | 14.0882 | 14.0484   |
| 3.7426        | 3.0   | 2313 | 3.4070          | 14.4797 | 6.8527 | 14.1544 | 14.2753   |
| 3.5743        | 4.0   | 3084 | 3.3439          | 15.9805 | 7.8873 | 15.4935 | 15.41     |
| 3.4489        | 5.0   | 3855 | 3.3122          | 16.5749 | 7.9809 | 16.1922 | 16.1226   |
| 3.3602        | 6.0   | 4626 | 3.3187          | 16.4809 | 7.7656 | 16.211  | 16.1185   |
| 3.3215        | 7.0   | 5397 | 3.3180          | 15.4615 | 7.1361 | 15.1919 | 15.1144   |
| 3.294         | 8.0   | 6168 | 3.3112          | 15.4603 | 7.1882 | 15.2221 | 15.1231   |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1