---
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: 2.5965
- Rouge1: 19.1764
- Rouge2: 10.6855
- Rougel: 18.7602
- Rougelsum: 18.8956

## 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: 5.5e-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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.9041        | 1.0   | 1301 | 2.6000          | 17.3749 | 10.0728 | 16.9903 | 17.0336   |
| 2.744         | 2.0   | 2602 | 2.5874          | 17.7266 | 9.2481  | 17.2785 | 17.3827   |
| 2.6641        | 3.0   | 3903 | 2.6001          | 19.0052 | 10.6312 | 18.7604 | 18.754    |
| 2.6189        | 4.0   | 5204 | 2.6012          | 18.834  | 10.1299 | 18.4209 | 18.5351   |
| 2.6029        | 5.0   | 6505 | 2.5944          | 19.3375 | 10.537  | 18.8614 | 19.0826   |
| 2.6086        | 6.0   | 7806 | 2.5965          | 19.1764 | 10.6855 | 18.7602 | 18.8956   |


### Framework versions

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