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---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
model-index:
- name: t5-small-finetuned-amazon-en-es
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
config: en
split: validation
args: en
metrics:
- name: Rouge1
type: rouge
value: 18.3942
---
<!-- 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-small-finetuned-amazon-en-es
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2051
- Rouge1: 18.3942
- Rouge2: 10.0117
- Rougel: 17.8072
- Rougelsum: 17.6892
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 3.3683 | 1.0 | 771 | 3.2776 | 17.0544 | 8.6801 | 16.2879 | 16.2216 |
| 3.1169 | 2.0 | 1542 | 3.2130 | 17.9604 | 9.6818 | 17.0806 | 16.9609 |
| 3.0393 | 3.0 | 2313 | 3.2003 | 18.123 | 9.554 | 17.2701 | 17.127 |
| 3.0017 | 4.0 | 3084 | 3.2051 | 18.3942 | 10.0117 | 17.8072 | 17.6892 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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