---
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: 2.6546
- Rouge1: 18.2986
- Rouge2: 10.9624
- Rougel: 17.8943
- Rougelsum: 18.0009

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 3.3465        | 1.0   | 1301 | 2.7467          | 16.9837 | 10.688  | 16.7552 | 16.8412   |
| 2.9974        | 2.0   | 2602 | 2.7116          | 17.3625 | 9.9383  | 17.2101 | 17.2771   |
| 3.2834        | 3.0   | 3903 | 2.6592          | 17.8403 | 10.7668 | 17.6087 | 17.6695   |
| 3.2139        | 4.0   | 5204 | 2.6546          | 18.2986 | 10.9624 | 17.8943 | 18.0009   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1