transformers pytorch tensorboard mt5 text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: mt5-small-finetuned-amazon-en-es
  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-es

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: 9.2585
- Rouge1: 6.1835
- Rouge2: 0.0
- Rougel: 5.8333
- Rougelsum: 6.1835

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 24.1065       | 1.0   | 11   | 32.7123         | 7.342  | 1.5385 | 7.1515 | 7.342     |
| 22.6474       | 2.0   | 22   | 19.7137         | 6.1039 | 0.0    | 5.7143 | 6.1039    |
| 16.319        | 3.0   | 33   | 12.8543         | 6.1039 | 0.0    | 5.7143 | 6.1039    |
| 16.3224       | 4.0   | 44   | 10.1929         | 5.9524 | 0.0    | 5.7143 | 5.9524    |
| 15.0599       | 5.0   | 55   | 9.9186          | 5.9524 | 0.0    | 5.7143 | 5.9524    |
| 14.6053       | 6.0   | 66   | 9.3235          | 6.1835 | 0.0    | 5.8333 | 6.1835    |
| 14.4345       | 7.0   | 77   | 9.1621          | 6.1835 | 0.0    | 5.8333 | 6.1835    |
| 13.7973       | 8.0   | 88   | 9.2585          | 6.1835 | 0.0    | 5.8333 | 6.1835    |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
