---
license: apache-2.0
tags:
- generated_from_trainer
- summarization
datasets:
- xsum
- autoevaluate/xsum-sample
metrics:
- rouge
duplicated_from: autoevaluate/summarization
model-index:
- name: autoevaluate/summarization-not-evaluated
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: autoevaluate/xsum-sample
      type: autoevaluate/xsum-sample
      config: autoevaluate--xsum-sample
      split: test
    metrics:
    - type: rouge
      value: 18.3975
      name: ROUGE-1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWVjY2U1N2I3MmI0ZGVhMzQwN2E0NzY0OTk3NDBjNWZhODVkMDQ4ZDMwYzUwYmQ3MDYyZmFmMTM2NGUwNTMzOSIsInZlcnNpb24iOjF9.-1drSQmRK8GwHjrGWpmCzRLWT9NDfImYiLZEsO4doWMsyz7lik00-roc0wFDrp6JpFb5Uc3vvaJ4dg4SlU3pBw
    - type: rouge
      value: 3.122
      name: ROUGE-2
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmMxMjlkNzE0NTdiMzg3MTViOGM5ZWRlM2E4ODA0NWM2Y2M5NTQwYTI1NTUxMWJmNmIwNjcwNzYyMjZhNDliMSIsInZlcnNpb24iOjF9._qnIJsSZgY-Cr3lfUGOjsRakjg0L8HZmpI_bZnf2FJxJCOIDd4RjPAsibTdZLL5u3nJK72CstIvzLyAzPEdKCA
    - type: rouge
      value: 14.8693
      name: ROUGE-L
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWZlNDkxODUwYzgxYzMzYzNlYWJlNDQyYTkxM2FjZmYyYjk1MDBlYmVkNGY3OWQxOTBkOGI2NzYwZTlhMGUyZSIsInZlcnNpb24iOjF9.eV8j4NkoIp2vhbXZGE6Np_DMc7zBB5gycg_wCcejCJ72vN_Pog8K_2Ltu2N-vtStJrM_3QmbZMnWMS0OgCDlCA
    - type: rouge
      value: 14.8537
      name: ROUGE-LSUM
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjBjOWVhOTNmN2NiYjQyZmYwMzc1NTRjODIwYWY5MDIzYWU2MmQ0N2MxZjUyNDU4MDEzZWM0N2FjNGQxZmQ3NiIsInZlcnNpb24iOjF9.tUF5mFbt4iw3NXX8zmxAWLGKxiOJ0N6pMuot2EiPnGsCKv_s6zKf-Akc1NA89TjLGc8lMvUkKJyFbqIU1n9eBg
    - type: loss
      value: 3.0104541778564453
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTM5NDI0ZjMxOWIwZGFhZTkxMzNkOGRiNjM4YTAxODkyMmZhOGYzNjQ0MTVmZWEyZWU5MTRlODM5YWYzYmIxYiIsInZlcnNpb24iOjF9.uCcjMNr5q_pL6HbVF5cwkh9yO2ni5GieWg5oWjhFWv5ZslnB7OqskPdLt_P3YMYQRUkYRamzdYQYh5qJB7oYCA
    - type: gen_len
      value: 18.05
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjZhNmYxNjYxNTQ4MzA0YTNhYTIwMzVhZTNlMGE5MmI5M2JkZDY4MzA3YTY1Zjk4NjRhNjY5NjcxYjcwYmU3NSIsInZlcnNpb24iOjF9.JKyvAJB5uFL6srWzoj9P_OIK9tnT7GW8mGPFVNrY6SxjbupdIry2iPrM5YpBdt6sLeS5_DgdP80OGGjwfwBiBQ
---

<!-- 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. -->

# summarization

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6690
- Rouge1: 23.9405
- Rouge2: 5.0879
- Rougel: 18.4981
- Rougelsum: 18.5032
- Gen Len: 18.7376

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.9249        | 0.08  | 1000 | 2.6690          | 23.9405 | 5.0879 | 18.4981 | 18.5032   | 18.7376 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1