transformers pytorch tensorboard t5 text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: t5-v1_1-small-finetuned-cnn_dailymail
  results: []
---

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# t5-v1_1-small-finetuned-cnn_dailymail

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: 2.7123
- Rouge1: 19.7017
- Rouge2: 6.4434
- Rougel: 16.2918
- Rougelsum: 17.9363

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 4.2648        | 1.0   | 1250 | 2.8358          | 19.991  | 6.6592 | 16.4565 | 18.3361   |
| 3.5672        | 2.0   | 2500 | 2.7767          | 20.2215 | 6.7681 | 16.6295 | 18.5711   |


### Framework versions

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