readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - scientific_papers
  metrics:
  - rouge
  model-index:
  - name: t5-small-science-papers
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: scientific_papers
        type: scientific_papers
        config: arxiv
        split: train
        args: arxiv
      metrics:
      - name: Rouge1
        type: rouge
        value: 12.3568
  ---
  
  <!-- 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-science-papers
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the scientific_papers dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.6405
  - Rouge1: 12.3568
  - Rouge2: 2.4449
  - Rougel: 10.2371
  - Rougelsum: 11.4209
  - 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: 16
  - eval_batch_size: 16
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 4.4735        | 1.0   | 12690 | 4.3727          | 9.9604  | 1.7641 | 8.6213  | 9.2779    | 19.0    |
  | 4.0104        | 2.0   | 25380 | 3.9384          | 11.4001 | 2.1474 | 9.6516  | 10.6602   | 19.0    |
  | 3.8237        | 3.0   | 38070 | 3.7580          | 11.1806 | 2.1229 | 9.3881  | 10.3853   | 19.0    |
  | 3.7382        | 4.0   | 50760 | 3.6738          | 11.9298 | 2.3222 | 9.9077  | 11.045    | 19.0    |
  | 3.6994        | 5.0   | 63450 | 3.6405          | 12.3568 | 2.4449 | 10.2371 | 11.4209   | 19.0    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  