readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-science-v3-e1-v4-e4-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-e4-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: 1.2615
  - Rouge1: 53.36
  - Rouge2: 32.0237
  - Rougel: 33.2835
  - Rougelsum: 50.7455
  - 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: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 42   | 1.0675          | 51.743  | 31.3774 | 34.1939 | 48.7234   | 142.0   |
  | No log        | 2.0   | 84   | 1.0669          | 49.4166 | 28.1438 | 30.188  | 46.0289   | 142.0   |
  | No log        | 3.0   | 126  | 1.1799          | 52.6909 | 31.0174 | 35.441  | 50.0351   | 142.0   |
  | No log        | 4.0   | 168  | 1.2615          | 53.36   | 32.0237 | 33.2835 | 50.7455   | 142.0   |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  