transformers pytorch tensorboard t5 text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: t5-small-trainings
  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-small-trainings

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: 2.2580
- Rouge1: 41.5251
- Rouge2: 19.8842
- Rougel: 36.4895
- Rougelsum: 37.2565

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 3.1338        | 1.0   | 51   | 2.5825          | 35.4169 | 15.379  | 30.8859 | 31.524    |
| 2.5905        | 2.0   | 102  | 2.3975          | 38.4266 | 17.2571 | 33.5912 | 34.312    |
| 2.3881        | 3.0   | 153  | 2.3329          | 39.8082 | 19.1925 | 34.8269 | 35.5295   |
| 2.3167        | 4.0   | 204  | 2.2938          | 41.3488 | 20.1513 | 35.6879 | 36.5864   |
| 2.2357        | 5.0   | 255  | 2.2727          | 41.2457 | 19.5358 | 36.0033 | 36.8405   |
| 2.232         | 6.0   | 306  | 2.2645          | 41.2746 | 20.0345 | 35.9226 | 36.7001   |
| 2.1986        | 7.0   | 357  | 2.2595          | 41.7542 | 19.9428 | 36.6819 | 37.4718   |
| 2.1457        | 8.0   | 408  | 2.2580          | 41.5251 | 19.8842 | 36.4895 | 37.2565   |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
