---
license: apache-2.0
base_model: google/t5-efficient-tiny
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 [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7541
- Rouge1: 76.26
- Rouge2: 61.8085
- Rougel: 76.1635
- Rougelsum: 76.1928
- Gen Len: 17.4843

## 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   | 0.7604          | 75.9742 | 61.5113 | 75.8301 | 75.8438   | 17.4817 |
| No log        | 2.0   | 152  | 0.7574          | 75.9172 | 61.56   | 75.7901 | 75.8489   | 17.4817 |
| No log        | 3.0   | 228  | 0.7568          | 76.382  | 61.5593 | 76.1883 | 76.2735   | 17.4791 |
| No log        | 4.0   | 304  | 0.7565          | 76.3074 | 61.8211 | 76.1848 | 76.2148   | 17.4843 |
| No log        | 5.0   | 380  | 0.7541          | 76.26   | 61.8085 | 76.1635 | 76.1928   | 17.4843 |


### Framework versions

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