readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-pubmed-arxiv-pubmed-v3-e12
    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-pubmed-arxiv-pubmed-v3-e12
  
  This model is a fine-tuned version of [theojolliffe/bart-cnn-pubmed-arxiv-pubmed](https://huggingface.co/theojolliffe/bart-cnn-pubmed-arxiv-pubmed) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8658
  - Rouge1: 57.2678
  - Rouge2: 43.347
  - Rougel: 47.0854
  - Rougelsum: 55.4167
  - 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: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 12
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | 1.2548        | 1.0   | 795  | 0.9154          | 53.4249 | 34.0377 | 36.4396 | 50.9884   | 141.8889 |
  | 0.6994        | 2.0   | 1590 | 0.8213          | 54.7613 | 35.9428 | 38.3899 | 51.9527   | 142.0    |
  | 0.5272        | 3.0   | 2385 | 0.7703          | 53.8561 | 35.4871 | 38.0502 | 51.131    | 141.8889 |
  | 0.3407        | 4.0   | 3180 | 0.7764          | 53.9514 | 35.8553 | 39.1935 | 51.7005   | 142.0    |
  | 0.2612        | 5.0   | 3975 | 0.7529          | 54.4056 | 36.2605 | 40.8003 | 52.0424   | 142.0    |
  | 0.1702        | 6.0   | 4770 | 0.8105          | 54.2251 | 37.1441 | 41.2472 | 52.2803   | 142.0    |
  | 0.1276        | 7.0   | 5565 | 0.8004          | 56.49   | 40.4009 | 44.018  | 54.2404   | 141.5556 |
  | 0.0978        | 8.0   | 6360 | 0.7890          | 56.6339 | 40.9867 | 43.9603 | 54.4468   | 142.0    |
  | 0.0711        | 9.0   | 7155 | 0.8285          | 56.0469 | 40.7758 | 44.1395 | 53.9668   | 142.0    |
  | 0.0649        | 10.0  | 7950 | 0.8498          | 56.9873 | 42.4721 | 46.705  | 55.2188   | 142.0    |
  | 0.0471        | 11.0  | 8745 | 0.8547          | 57.7898 | 43.4238 | 46.5868 | 56.0858   | 142.0    |
  | 0.0336        | 12.0  | 9540 | 0.8658          | 57.2678 | 43.347  | 47.0854 | 55.4167   | 142.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  