transformers pytorch t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-webnlg-mt-2.0e-04
  results: []
---

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# t5-small-finetuned-webnlg-mt-2.0e-04

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:
- Gen Len: 43.5977
- Loss: 0.3487
- Rouge1: 0.8216
- Rouge2: 0.6463
- Rougel: 0.7033
- Rougelsum: 0.7274

## 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: 0.0002
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:-------:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.604         | 1.4   | 1500 | 43.3072 | 0.4256          | 0.7894 | 0.6008 | 0.6683 | 0.6931    |
| 0.4922        | 2.79  | 3000 | 43.8020 | 0.3684          | 0.8144 | 0.6352 | 0.6928 | 0.7170    |
| 0.4474        | 4.19  | 4500 | 43.5977 | 0.3487          | 0.8216 | 0.6463 | 0.7033 | 0.7274    |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
