
<!-- 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. -->

# ptt5-small-portuguese-vocab-finetuned-xlsum-pt

This model is a fine-tuned version of [unicamp-dl/ptt5-small-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-small-portuguese-vocab) on the xlsum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0345
- Rouge1: 17.721
- Rouge2: 16.8056
- Rougel: 17.7236
- Rougelsum: 17.7255

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-------:|:---------:|
| 0.0559        | 1.0   | 313  | 0.0369          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.034         | 2.0   | 626  | 0.0349          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.0298        | 3.0   | 939  | 0.0344          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.0271        | 4.0   | 1252 | 0.0333          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.0248        | 5.0   | 1565 | 0.0335          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.0239        | 6.0   | 1878 | 0.0365          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.0225        | 7.0   | 2191 | 0.0308          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.022         | 8.0   | 2504 | 0.0316          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.0214        | 9.0   | 2817 | 0.0347          | 17.721 | 16.8056 | 17.7236 | 17.7255   |
| 0.0209        | 10.0  | 3130 | 0.0345          | 17.721 | 16.8056 | 17.7236 | 17.7255   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["summarization", "generated_from_trainer"], "datasets": ["xlsum"], "metrics": ["rouge"], "base_model": "unicamp-dl/ptt5-small-portuguese-vocab", "model-index": [{"name": "ptt5-small-portuguese-vocab-finetuned-xlsum-pt", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "xlsum", "type": "xlsum", "config": "portuguese", "split": "validation", "args": "portuguese"}, "metrics": [{"type": "rouge", "value": 17.721, "name": "Rouge1"}]}]}]}
transformers tensorboard safetensors t5 text2text-generation summarization generated_from_trainer dataset:xlsum base_model:unicamp-dl/ptt5-small-portuguese-vocab license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us