---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-v1_1-small-finetuned-cnn_dailymail_2
  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-v1_1-small-finetuned-cnn_dailymail_2

This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6169
- Rouge1: 19.7138
- Rouge2: 6.3879
- Rougel: 16.3121
- Rougelsum: 17.9656

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 4.1168        | 1.0   | 1250 | 2.7284          | 19.8853 | 6.514  | 16.467  | 18.3882   |
| 3.4117        | 2.0   | 2500 | 2.6718          | 19.9194 | 6.4482 | 16.3444 | 18.3119   |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.9.1+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3