---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: mestrado2
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: billsum
      type: billsum
      config: default
      split: ca_test
      args: default
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.1779
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mestrado2

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3871
- Rouge1: 0.1779
- Rouge2: 0.0795
- Rougel: 0.1466
- Rougelsum: 0.1465
- Gen Len: 19.0

## 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: 2e-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 | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 124  | 2.5828          | 0.1315 | 0.0439 | 0.1098 | 0.1098    | 19.0    |
| No log        | 2.0   | 248  | 2.4492          | 0.1456 | 0.0537 | 0.1196 | 0.1194    | 19.0    |
| No log        | 3.0   | 372  | 2.3987          | 0.1711 | 0.0733 | 0.1418 | 0.1418    | 19.0    |
| No log        | 4.0   | 496  | 2.3871          | 0.1779 | 0.0795 | 0.1466 | 0.1465    | 19.0    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3