---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: T5-XSum-base
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: xsum
      type: xsum
      config: default
      split: train
      args: default
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.273
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5-XSum-base

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5491
- Rouge1: 0.273
- Rouge2: 0.0711
- Rougel: 0.2134
- Rougelsum: 0.2134
- Gen Len: 18.8194

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.8234        | 1.0   | 2041 | 2.5916          | 0.2623 | 0.0647 | 0.2043 | 0.2044    | 18.8152 |
| 2.7742        | 2.0   | 4082 | 2.5577          | 0.2707 | 0.0702 | 0.2118 | 0.2117    | 18.8212 |
| 2.7482        | 3.0   | 6123 | 2.5491          | 0.273  | 0.0711 | 0.2134 | 0.2134    | 18.8194 |


### Framework versions

- Transformers 4.35.0
- Pytorch 1.12.0+cu116
- Datasets 2.14.6
- Tokenizers 0.14.1