---
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: 18.3582
      name: ROUGE-1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTU5NWM4NDBkNzExNGFjYTczMDQzMDJhZTRjOGVkY2Q2N2ZjZDAxNWU4YzVjMmNiZGFlM2JiM2YzMjdhM2EyNSIsInZlcnNpb24iOjF9.3TQeweFaWRhylW8P84o1BeZnXMeZurVRmJjqAW3P-JX-RqiBVVMlxohlo1hvmew6VyZpNvk-4oJYGav1bp-nBw
    - type: rouge
      value: 3.0753
      name: ROUGE-2
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmZkNjRmY2RlOGZjZjY3NWI3ZWZlMTY4NGY0MGQyZjVmYWU0MmM3ZmEyM2FjZjUxNTBmYmE5NjIxOThmMGNiNSIsInZlcnNpb24iOjF9.Sn8fPL9J0lYiS7Co3JtDa6-sVQeYfHiN03nXigvj3FwfifPsdBMntylEWYuW3YU3i3PfQwCDbLNzEnEzKf08Cg
    - type: rouge
      value: 14.8475
      name: ROUGE-L
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDQwOWJhMGQzMjUxN2ExNTczYzMxYjJmMmU5ODRjOWJmYjM4M2IyM2M5ZDM2ZWRmOTMwNGU3ZDMwMmU3ZjdjYyIsInZlcnNpb24iOjF9.bMlmjRiEQcu7dlqNdPgLRkbboZnK5n6GQMsQj1QgCDBPi0Sgm20F5PBMRuHVGnlmeVJqB7h4Wyy2y-BJdYBsBA
    - type: rouge
      value: 14.8505
      name: ROUGE-LSUM
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjA2NmUxNmFjMTEwZTFjYTY3YjI5M2VhNWFhYjI3MTZiOTgzMDYyYTRlMzFhOTQzNjc4MDk0YzA1MGU4Y2E4YyIsInZlcnNpb24iOjF9.XMjH9oYTWQ7sZ_8faF21d4vSI_fzexfRDbD_Ba8jAqD3dspUa51ay0QHtGvhVs3NmZV_J41OzSZ96NftgiE3BA
    - type: loss
      value: 3.009582281112671
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOThlOWVmZTYxZjQzYmRlMDEwZWVmMjg0NjBmMGM4ZGViZThmZWIxYjYzMWE1OGNkNjMzMGI4OTdhMzRiMjg4ZSIsInZlcnNpb24iOjF9.TCodikvSbl22UPa2AJqMWoADTaUGyF-ALxCq1PX-c8YLIe_b_dVN29yMNNobQS52kg8MDG9yYWgD6AdscV2vAQ
    - 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