---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: denoice-finetuned-xsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# denoice-finetuned-xsum

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:
- eval_loss: 0.0119
- eval_rouge1: 95.4063
- eval_rouge2: 71.6891
- eval_rougeL: 95.3513
- eval_rougeLsum: 95.339
- eval_gen_len: 4.1435
- eval_runtime: 0.5683
- eval_samples_per_second: 784.751
- eval_steps_per_second: 1.76
- epoch: 23.0
- step: 2047

## 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: 500
- eval_batch_size: 500
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Framework versions

- Transformers 4.36.2
- Pytorch 1.13.1
- Datasets 2.16.1
- Tokenizers 0.15.0