---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-test-amazon-v2
  results: []
---

<!-- 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-test-amazon-v2

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0555
- Rouge1: 27.8124
- Rouge2: 15.3682
- Rougel: 27.8646
- Rougelsum: 27.9044

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 6.2982        | 1.0   | 1935  | 2.7890          | 23.293  | 12.7229 | 23.3183 | 23.3368   |
| 2.9801        | 2.0   | 3870  | 2.4341          | 25.9888 | 14.0833 | 26.07   | 26.0897   |
| 2.5025        | 3.0   | 5805  | 2.2611          | 26.5127 | 14.5775 | 26.5105 | 26.5442   |
| 2.2681        | 4.0   | 7740  | 2.1966          | 27.7476 | 14.9971 | 27.835  | 27.8186   |
| 2.1198        | 5.0   | 9675  | 2.1209          | 27.3796 | 15.1938 | 27.4549 | 27.4759   |
| 2.0089        | 6.0   | 11610 | 2.0856          | 27.6637 | 15.2345 | 27.7419 | 27.7608   |
| 1.9416        | 7.0   | 13545 | 2.0637          | 27.9013 | 15.3682 | 27.9621 | 27.9833   |
| 1.9034        | 8.0   | 15480 | 2.0555          | 27.8124 | 15.3682 | 27.8646 | 27.9044   |


### Framework versions

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