---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_politics_model
  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. -->

# my_politics_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4867
- Rouge1: 0.0889
- Rouge2: 0.0071
- Rougel: 0.0709
- Rougelsum: 0.0707
- 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 22   | 5.2260          | 0.0774 | 0.0032 | 0.0624 | 0.0624    | 19.0    |
| No log        | 2.0   | 44   | 4.7072          | 0.0851 | 0.0061 | 0.0683 | 0.0685    | 19.0    |
| No log        | 3.0   | 66   | 4.5356          | 0.0897 | 0.0066 | 0.0707 | 0.0707    | 19.0    |
| No log        | 4.0   | 88   | 4.4867          | 0.0889 | 0.0071 | 0.0709 | 0.0707    | 19.0    |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3