---
license: apache-2.0
base_model: t5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-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. -->

# t5-base-finetuned-amazon-en-es

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0971
- Rouge1: 5.4907
- Rouge2: 0.0
- Rougel: 5.4907
- Rougelsum: 5.4907

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 5.7476        | 1.0   | 2    | 5.4826          | 8.0818 | 0.0    | 8.0898 | 6.7159    |
| 5.6005        | 2.0   | 4    | 5.3150          | 5.4125 | 0.0    | 5.4125 | 5.4654    |
| 5.4222        | 3.0   | 6    | 5.2311          | 5.3768 | 0.0    | 5.3768 | 5.4298    |
| 4.9619        | 4.0   | 8    | 5.1824          | 6.6672 | 0.0    | 6.6672 | 6.6794    |
| 4.2747        | 5.0   | 10   | 5.1472          | 6.6672 | 0.0    | 6.6672 | 6.6794    |
| 4.2784        | 6.0   | 12   | 5.1219          | 5.4907 | 0.0    | 5.4907 | 5.4907    |
| 5.2337        | 7.0   | 14   | 5.1052          | 5.4907 | 0.0    | 5.4907 | 5.4907    |
| 4.7063        | 8.0   | 16   | 5.0971          | 5.4907 | 0.0    | 5.4907 | 5.4907    |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3