---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xlsum
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xlsum-10-epoch
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: xlsum
      type: xlsum
      args: english
    metrics:
    - name: Rouge1
      type: rouge
      value: 31.6534
---

<!-- 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-finetuned-xlsum-10-epoch

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xlsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2204
- Rouge1: 31.6534
- Rouge2: 10.0563
- Rougel: 24.8104
- Rougelsum: 24.8732
- Gen Len: 18.7913

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.6512        | 1.0   | 19158  | 2.3745          | 29.756  | 8.4006  | 22.9753 | 23.0287   | 18.8245 |
| 2.6012        | 2.0   | 38316  | 2.3183          | 30.5327 | 9.0206  | 23.7263 | 23.7805   | 18.813  |
| 2.5679        | 3.0   | 57474  | 2.2853          | 30.9771 | 9.4156  | 24.1555 | 24.2127   | 18.7905 |
| 2.5371        | 4.0   | 76632  | 2.2660          | 31.0578 | 9.5592  | 24.2983 | 24.3587   | 18.7941 |
| 2.5133        | 5.0   | 95790  | 2.2498          | 31.3756 | 9.7889  | 24.5317 | 24.5922   | 18.7971 |
| 2.4795        | 6.0   | 114948 | 2.2378          | 31.4961 | 9.8935  | 24.6648 | 24.7218   | 18.7929 |
| 2.4967        | 7.0   | 134106 | 2.2307          | 31.44   | 9.9125  | 24.6298 | 24.6824   | 18.8221 |
| 2.4678        | 8.0   | 153264 | 2.2250          | 31.5875 | 10.004  | 24.7581 | 24.8125   | 18.7809 |
| 2.46          | 9.0   | 172422 | 2.2217          | 31.6413 | 10.0311 | 24.8063 | 24.8641   | 18.7951 |
| 2.4494        | 10.0  | 191580 | 2.2204          | 31.6534 | 10.0563 | 24.8104 | 24.8732   | 18.7913 |


### Framework versions

- Transformers 4.13.0
- Pytorch 1.13.1+cpu
- Datasets 2.8.0
- Tokenizers 0.10.3