---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_finetuned_paraphrase-1024
  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_finetuned_paraphrase-1024

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7026
- Rouge1: 69.0908
- Rouge2: 51.3373
- Rougel: 65.9952
- Rougelsum: 65.9963
- Gen Len: 17.9946

## 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: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.9264        | 1.0   | 12500  | 0.8018          | 67.7403 | 48.7329 | 64.2684 | 64.273    | 18.0296 |
| 0.8654        | 2.0   | 25000  | 0.7572          | 68.256  | 49.8753 | 64.9795 | 64.9743   | 18.0071 |
| 0.8391        | 3.0   | 37500  | 0.7366          | 68.5695 | 50.4061 | 65.3434 | 65.3424   | 18.0047 |
| 0.8151        | 4.0   | 50000  | 0.7225          | 68.7762 | 50.6912 | 65.5711 | 65.561    | 17.9929 |
| 0.8068        | 5.0   | 62500  | 0.7134          | 68.8998 | 50.9785 | 65.7391 | 65.7475   | 17.9953 |
| 0.801         | 6.0   | 75000  | 0.7076          | 69.0179 | 51.1629 | 65.8718 | 65.8738   | 17.9952 |
| 0.7982        | 7.0   | 87500  | 0.7035          | 69.0643 | 51.2707 | 65.9447 | 65.9508   | 17.9959 |
| 0.784         | 8.0   | 100000 | 0.7026          | 69.0908 | 51.3373 | 65.9952 | 65.9963   | 17.9946 |


### Framework versions

- Transformers 4.27.3
- Pytorch 1.7.1+cu101
- Datasets 2.13.2
- Tokenizers 0.13.2