---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-de
  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-finetuned-amazon-en-de

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: 2.6824
- Rouge1: 16.5186
- Rouge2: 10.0545
- Rougel: 16.2944
- Rougelsum: 16.2835

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 8.4221        | 1.0   | 651  | 3.1302          | 13.8778 | 6.1808  | 13.6862 | 13.6699   |
| 4.1085        | 2.0   | 1302 | 2.8969          | 13.7773 | 7.1463  | 13.7471 | 13.7448   |
| 3.7329        | 3.0   | 1953 | 2.8285          | 13.3819 | 6.5587  | 13.3349 | 13.1454   |
| 3.5489        | 4.0   | 2604 | 2.7547          | 16.886  | 9.8816  | 16.8247 | 16.8231   |
| 3.4223        | 5.0   | 3255 | 2.7334          | 16.6755 | 10.0955 | 16.5465 | 16.5025   |
| 3.3509        | 6.0   | 3906 | 2.6994          | 16.851  | 10.5061 | 16.6289 | 16.7191   |
| 3.2895        | 7.0   | 4557 | 2.6871          | 16.4401 | 10.0994 | 16.2156 | 16.224    |
| 3.281         | 8.0   | 5208 | 2.6824          | 16.5186 | 10.0545 | 16.2944 | 16.2835   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0