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autoevaluate
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summarization

Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results
text-generation-inference
Model card Files
xet
Metrics Community
9
summarization
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---
license: apache-2.0
tags:
- generated_from_trainer
- summarization
datasets:
- xsum
- autoevaluate/xsum-sample
metrics:
- rouge
model-index:
- name: summarization
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: xsum
      type: xsum
      args: default
    metrics:
    - type: rouge
      value: 23.9405
      name: Rouge1
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: autoevaluate/xsum-sample
      type: autoevaluate/xsum-sample
      config: autoevaluate--xsum-sample
      split: test
    metrics:
    - type: rouge
      value: 18.3841
      name: ROUGE-1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTYyOTMyYjUyZDU5MWUzOWNkYTcxYWRhMDJiMGUyYmJkNTc4Mjc4YjM2ODQ1ZTU3YWFhNzU0ZTcxYjVhODgyYSIsInZlcnNpb24iOjF9.Cgyt2MvDbRO7n7Yv4LCUp0hd_zunJFWB5q59p63-qHQdojgY83pnp6mK4Do2OCdvWW9PZQCBhC6PBc4FLrrmBw
    - type: rouge
      value: 3.0683
      name: ROUGE-2
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDEyYWE4YjI3YTQzNGNhMDZkNGZhNjgwMTAzOGFlMjNiN2Y1ZWU1MGFmZWQ1ZjZjMmFiNDAyYTY2ZWZiZTg3MyIsInZlcnNpb24iOjF9.Yu8URVvUyAfIkXUekW2i_sA2JQuy-DTzuSmd4x9ZvrnrwTgMp0j5-Y5DxkgBVmMkx6ALciWtGB7rEvsxPZXmDg
    - type: rouge
      value: 14.8213
      name: ROUGE-L
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmU5NjQ4NzVhMTVmZWQwZWI0MjA5MDJkMzQ3MTA2YzJlNTBiYzczYjIzY2MzZGIyYTU2Y2ViMTA1NTc5YWI1OSIsInZlcnNpb24iOjF9.Y63H8nXf3HpaCcekMrlr62zCginIFK5HHfZ_4vsYG8vTvhazvNAOB1ahdgg4gwZZtotdgNOv2jEu-LY1QTApCQ
    - type: rouge
      value: 14.8475
      name: ROUGE-LSUM
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjAxM2QyMzQ5OWJhNGNmYzU0YjMyMzkxNjk4MTdmMDhmODNmZjVlOTU2NTU0N2M1MTFkYWU3ZmNkNzM0YjJjMSIsInZlcnNpb24iOjF9.otRM0NSyExwRs2RomqaMVGRJEE3wM34FGlnmY_2k1T1bQSQHPdHXTcRSh6vyYW-hCmCE1K0ILV2kyIR8pu7FDA
    - type: loss
      value: 3.0104541778564453
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjc0YjFmZTBhZTNkMDczYzczZDk5YTdiNzg4MDUwODI0NDQyODg2MGIxYzRkMzBkMTU4ZDQxYjJlZTRjZGMwMyIsInZlcnNpb24iOjF9.dl4Nqw9EAQSbnc9JqLDu6sCt3P73G_53zc0Yh9d8Um4up3PISjkZNQDxqKQ68N_vgU0s0IGHQLxxJYgUkSgwBg
    - type: gen_len
      value: 18.05
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWU3N2NkMmRhZjQ1YzYyOTNiNzJiMmNkMzlmYjYxMGVhNjhkMGQyZjliYmUyNGU0MTEwOGM3NWFmYmZjODhmOSIsInZlcnNpb24iOjF9.vgT2OjClJ21_tnYr933is4DqCgxKNQ0GlhrTWpUqFhypHkX_w1lZZi-DnIT8GdyLZBXpZkCFwWYi6jeXDGKnCQ
---

<!-- 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