readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-science-v3-e1-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-e1-v4-e6-manual
  
  This model is a fine-tuned version of [theojolliffe/bart-cnn-science-v3-e1](https://huggingface.co/theojolliffe/bart-cnn-science-v3-e1) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4513
  - Rouge1: 51.4471
  - Rouge2: 31.5595
  - Rougel: 31.7717
  - Rougelsum: 49.4999
  - 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   | 1.0691          | 51.1883 | 31.2479 | 33.7004 | 48.9571   | 142.0   |
  | No log        | 2.0   | 84   | 1.0883          | 51.7634 | 29.8573 | 30.7155 | 49.3378   | 142.0   |
  | No log        | 3.0   | 126  | 1.2355          | 52.9606 | 31.3539 | 33.5131 | 49.9275   | 142.0   |
  | No log        | 4.0   | 168  | 1.3430          | 52.2108 | 32.7896 | 34.65   | 50.4271   | 139.1   |
  | No log        | 5.0   | 210  | 1.3963          | 51.5335 | 30.4157 | 31.5759 | 49.6904   | 142.0   |
  | No log        | 6.0   | 252  | 1.4513          | 51.4471 | 31.5595 | 31.7717 | 49.4999   | 142.0   |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  