---
license: apache-2.0
tags:
- summarization
- 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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7569
- Rouge1: 18.0555
- Rouge2: 9.7451
- Rougel: 17.6297
- Rougelsum: 17.5489

## 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: 5e-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: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.7527        | 1.0   | 3665  | 2.8879          | 18.3899 | 10.2549 | 17.9226 | 17.8373   |
| 3.1875        | 2.0   | 7330  | 2.7905          | 17.6365 | 9.271   | 17.1788 | 17.0681   |
| 3.0707        | 3.0   | 10995 | 2.7601          | 17.8343 | 9.5332  | 17.4487 | 17.3742   |
| 3.0107        | 4.0   | 14660 | 2.7569          | 18.0555 | 9.7451  | 17.6297 | 17.5489   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2