readme: ---
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-finetuned-resume-summarizer-bathcsize-8-epoch-9
    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-large-finetuned-resume-summarizer-bathcsize-8-epoch-9
  
  This model is a fine-tuned version of [Ameer05/tokenizer-repo](https://huggingface.co/Ameer05/tokenizer-repo) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5988
  - Rouge1: 54.4865
  - Rouge2: 45.2321
  - Rougel: 50.0237
  - Rougelsum: 53.2463
  
  ## 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: 5e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 9
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 0.3463        | 1.0   | 44   | 2.0015          | 50.2382 | 40.3332 | 45.6831 | 49.1811   |
  | 0.2771        | 2.0   | 88   | 2.0433          | 58.3265 | 50.1555 | 54.3681 | 56.9592   |
  | 0.172         | 3.0   | 132  | 2.2077          | 55.9801 | 47.6352 | 51.9102 | 54.3347   |
  | 0.1251        | 4.0   | 176  | 2.1834          | 53.3525 | 44.2643 | 49.9253 | 52.0145   |
  | 0.0901        | 5.0   | 220  | 2.2857          | 56.7259 | 46.7879 | 52.3245 | 55.16     |
  | 0.0506        | 6.0   | 264  | 2.5131          | 53.8128 | 44.9024 | 50.4617 | 52.8586   |
  | 0.0434        | 7.0   | 308  | 2.5274          | 52.076  | 41.8135 | 47.3822 | 50.2634   |
  | 0.0269        | 8.0   | 352  | 2.6374          | 54.7639 | 45.51   | 50.2608 | 53.6006   |
  | 0.0147        | 9.0   | 396  | 2.5988          | 54.4865 | 45.2321 | 50.0237 | 53.2463   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.9.1
  - Datasets 2.0.0
  - Tokenizers 0.10.3
  