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---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-summarize-news-tuto-noticias
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-summarize-news-tuto-noticias
This model is a fine-tuned version of [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1414
- Rouge1: 0.3108
- Rouge2: 0.2066
- Rougel: 0.3003
- Rougelsum: 0.3004
## 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: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.3374 | 1.0 | 6034 | 1.1414 | 0.3108 | 0.2066 | 0.3003 | 0.3004 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
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