---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-extraction-cnndm_10000-all
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-extraction-cnndm_10000-all

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9408
- Rouge1: 32.208
- Rouge2: 13.5067
- Rougel: 27.6327
- Rougelsum: 27.6797
- Gen Len: 18.942

## 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: 2e-05
- train_batch_size: 24
- eval_batch_size: 48
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.4065        | 0.48  | 200  | 1.9792          | 31.4627 | 12.9579 | 26.7753 | 26.808    | 18.934  |
| 2.0908        | 0.96  | 400  | 1.9408          | 32.208  | 13.5067 | 27.6327 | 27.6797   | 18.942  |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1