---
license: apache-2.0
datasets:
- cnn_dailymail
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_finetune_assests
  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_finetune_assests

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an [cnn-dailymail](https://huggingface.co/datasets/cnn_dailymail) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8677
- Rouge1: 35.9309
- Rouge2: 15.2979
- Rougel: 25.937
- Rougelsum: 33.4088
- Gen Len: 64.675

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.22.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1