---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: denoice-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. -->

# 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:
- Loss: 0.7794
- Rouge1: 71.0141
- Rouge2: 53.0457
- Rougel: 71.0918
- Rougelsum: 71.0572
- Gen Len: 16.5681

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 76   | 0.8037          | 70.2689 | 52.2689 | 70.2756 | 70.2269   | 16.5707 |
| No log        | 2.0   | 152  | 0.7922          | 70.7975 | 52.7278 | 70.8142 | 70.8439   | 16.5576 |
| No log        | 3.0   | 228  | 0.7846          | 70.8221 | 52.6361 | 70.9459 | 70.8784   | 16.5314 |
| No log        | 4.0   | 304  | 0.7805          | 71.0252 | 53.0551 | 71.0992 | 71.0725   | 16.5576 |
| No log        | 5.0   | 380  | 0.7794          | 71.0141 | 53.0457 | 71.0918 | 71.0572   | 16.5681 |


### Framework versions

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