---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: finetuned-t5-cnn_dailymail
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: cnn_dailymail 3.0.0
      type: cnn_dailymail
      args: 3.0.0
    metrics:
    - name: Rouge1
      type: rouge
      value: 33.5809
---

<!-- 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. -->

# finetuned-t5-cnn_dailymail

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the cnn_dailymail 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0404
- Rouge1: 33.5809
- Rouge2: 16.338
- Rougel: 27.0894
- Rougelsum: 31.8225
- Gen Len: 57.48

## 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 4.40.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2