readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - crd3
  metrics:
  - rouge
  model-index:
  - name: primer-crd3
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: crd3
        type: crd3
        config: default
        split: train[:500]
        args: default
      metrics:
      - name: Rouge1
        type: rouge
        value: 0.1510358452879352
  ---
  
  <!-- 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. -->
  
  # primer-crd3
  
  This model is a fine-tuned version of [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) on the crd3 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.8193
  - Rouge1: 0.1510
  - Rouge2: 0.0279
  - Rougel: 0.1251
  - Rougelsum: 0.1355
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | No log        | 1.0   | 250  | 2.9569          | 0.1762 | 0.0485 | 0.1525 | 0.1605    |
  | 1.7993        | 2.0   | 500  | 3.4079          | 0.1612 | 0.0286 | 0.1367 | 0.1444    |
  | 1.7993        | 3.0   | 750  | 3.8193          | 0.1510 | 0.0279 | 0.1251 | 0.1355    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.8.0
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  