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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: 18.3598
      name: ROUGE-1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGJiZThmYzcwMDU4MjI4MjZlNTBjNDQ5MjYxZDNiNzU3Y2Y5OWMxZmZjODAwYTI0YTdkZTZmZTVjMmI3MGY0MSIsInZlcnNpb24iOjF9.KscbYOZebwlZfpNk-X0c54yQc7T4sXDa-ICk3WMLBsDFYAT4RGeSOa7YZTbBKaQ9ebMgl9adQ0PPV4u6t3vNBQ
    - type: rouge
      value: 3.0796
      name: ROUGE-2
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWY2NjViZWYxODYyYWQyYzliYjVlY2NiYzU2YmYyNzQ5MTE5NTE0MjhhMTU3NDk0YjVhYjRmOGM3YmNjOGE1NyIsInZlcnNpb24iOjF9.vq-_esb4DMnlJ_lbzSY_AClBMSBnTNuzCKeVkIEc_vxqXrKI7Dz7pYkxnzGXOznXc0gTkfGGp7kOUzYDc3cdDQ
    - type: rouge
      value: 14.9038
      name: ROUGE-L
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGQ1ODA0NzA1N2QzZGQ4MDgyMWE0YzQ1ZmQ5YWFhZTEzYmZhMjUwYTYyOWU5MzdjZGUxNThkZmQ4OGY0MmVkNiIsInZlcnNpb24iOjF9.BFaFzEuNfDuwqpiFjb8HY6uRQdgzg41plZuU8eEeBjHJSF1QvNwA6oWvUCSToT-LqftjYuoy_-jgNsFd-sziCA
    - type: rouge
      value: 14.8069
      name: ROUGE-LSUM
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTE0MmU4MDAzZjI4ZDFiZTEzZWQwMGMzZGZmZTM1ZmM3ZTM4ZWE1OWFmZTI3NDg3OTA0ZDRlNzU5YzQ0NWI1ZSIsInZlcnNpb24iOjF9.aMSrcZ0bh_H66JSnClCOYiozFPUSa9xxKn_4xjqRGsjNX9nv6ELVeNpPJNO4w8gbZxT8RkeZJx99_t7F_7u6BA
    - type: loss
      value: 3.009582281112671
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjJkMmRiNmMzYTAzMWVhNTJjYmM2ZjRkZDg1M2FjYTdiNmUyY2RmYjIwYjdlODQ3OTY3YjI0ZWUwNWFjNWEyZCIsInZlcnNpb24iOjF9.3z4IZp7P5WPZ3lFyjTcHVMZy2eKhlh8sp6zZno8XstvFQqt7vcSljfx1sH_9GcC8xtNL0b83r2qZKL8Zc_8gCQ
    - type: gen_len
      value: 18.05
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDgzZDBjMzZmMmQ5Zjc3NDYwYzhmNGY2ZDA1ZDlkMGI5OTU2N2RkYjUzZGNiM2YwYTU4MDhiZTQxNTkxZDIyNyIsInZlcnNpb24iOjF9.FIorCL9Gpp2MoftgKvST5bj_WTjDP7KkxclK1JOiN9dTyzQDsaG1wIoUewm4NV9BMXTDJkFORi39DypL9NRZBw
---

<!-- 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