readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-science-v3-e5-v4-e6-manual
    results: []
  ---
  
  <!-- 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. -->
  
  # bart-cnn-science-v3-e5-v4-e6-manual
  
  This model is a fine-tuned version of [theojolliffe/bart-cnn-science-v3-e5](https://huggingface.co/theojolliffe/bart-cnn-science-v3-e5) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8609
  - Rouge1: 54.0982
  - Rouge2: 36.1022
  - Rougel: 36.9584
  - Rougelsum: 52.5383
  - Gen Len: 142.0
  
  ## 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: 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: 6
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 42   | 0.7022          | 56.9307 | 38.2717 | 39.9091 | 53.9037   | 142.0   |
  | No log        | 2.0   | 84   | 0.6840          | 50.7036 | 29.9002 | 33.0298 | 47.8775   | 142.0   |
  | No log        | 3.0   | 126  | 0.7179          | 52.8561 | 32.2202 | 35.7914 | 51.0248   | 142.0   |
  | No log        | 4.0   | 168  | 0.8149          | 54.8457 | 36.4705 | 35.931  | 52.4241   | 142.0   |
  | No log        | 5.0   | 210  | 0.8330          | 55.6746 | 37.8316 | 36.9614 | 54.3022   | 142.0   |
  | No log        | 6.0   | 252  | 0.8609          | 54.0982 | 36.1022 | 36.9584 | 52.5383   | 142.0   |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  