---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
model-index:
- name: t5-small-finetuned-xsum
  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-finetuned-xsum

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:
- eval_loss: 2.5035
- eval_rouge1: 27.8289
- eval_rouge2: 7.4394
- eval_rougeL: 21.8436
- eval_rougeLsum: 21.8522
- eval_gen_len: 18.808
- eval_runtime: 277.1343
- eval_samples_per_second: 40.89
- eval_steps_per_second: 1.281
- epoch: 1.0
- step: 6377

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

### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0
- Datasets 2.3.2
- Tokenizers 0.11.0