readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wsj_markets
  metrics:
  - rouge
  model_index:
  - name: t5-small-finetuned-xsum
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: wsj_markets
        type: wsj_markets
        args: default
      metric:
        name: Rouge1
        type: rouge
        value: 10.4492
  ---
  
  <!-- 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. -->
  
  # t5-small-finetuned-xsum
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wsj_markets dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1447
  - Rouge1: 10.4492
  - Rouge2: 3.9563
  - Rougel: 9.3368
  - Rougelsum: 9.9828
  - Gen Len: 19.0
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
  | 2.2742        | 1.0   | 868  | 1.3135          | 9.4644  | 2.618  | 8.4048 | 8.9764    | 19.0    |
  | 1.4607        | 2.0   | 1736 | 1.2134          | 9.6327  | 3.8535 | 9.0703 | 9.2466    | 19.0    |
  | 1.3579        | 3.0   | 2604 | 1.1684          | 10.1616 | 3.5498 | 9.2294 | 9.4507    | 19.0    |
  | 1.3314        | 4.0   | 3472 | 1.1514          | 10.0621 | 3.6907 | 9.1635 | 9.4955    | 19.0    |
  | 1.3084        | 5.0   | 4340 | 1.1447          | 10.4492 | 3.9563 | 9.3368 | 9.9828    | 19.0    |
  
  
  ### Framework versions
  
  - Transformers 4.8.2
  - Pytorch 1.9.0+cu102
  - Datasets 1.10.0
  - Tokenizers 0.10.3
  