---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: flan-t5-base-cnn_dailymail
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: cnn_dailymail
      type: cnn_dailymail
      config: 3.0.0
      split: test
      args: 3.0.0
    metrics:
    - name: Rouge1
      type: rouge
      value: 24.6545
---

<!-- 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. -->

# flan-t5-base-cnn_dailymail

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8013
- Rouge1: 24.6545
- Rouge2: 11.7282
- Rougel: 20.3578
- Rougelsum: 23.1966
- Gen Len: 18.9989

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0058        | 1.0   | 17945 | 1.8259          | 24.6279 | 11.6692 | 20.3361 | 23.1875   | 18.9988 |
| 1.97          | 2.0   | 35890 | 1.8158          | 24.6935 | 11.7554 | 20.4015 | 23.2584   | 18.9985 |
| 1.962         | 3.0   | 53835 | 1.8095          | 24.6151 | 11.7178 | 20.3361 | 23.1781   | 18.9993 |
| 1.9551        | 4.0   | 71780 | 1.8040          | 24.6127 | 11.7364 | 20.3473 | 23.17     | 18.9989 |
| 1.9515        | 5.0   | 89725 | 1.8013          | 24.6545 | 11.7282 | 20.3578 | 23.1966   | 18.9989 |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3