readme: ---
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-samsum-rescom-finetuned-resume-summarizer-10-epoch
    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-cnn-samsum-rescom-finetuned-resume-summarizer-10-epoch
  
  This model is a fine-tuned version of [Ameer05/model-token-repo](https://huggingface.co/Ameer05/model-token-repo) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5216
  - Rouge1: 59.5791
  - Rouge2: 51.3273
  - Rougel: 56.9984
  - Rougelsum: 59.1424
  
  ## 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: 5.6e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 0.91  | 5    | 2.0124          | 53.776  | 46.7427 | 50.7565 | 53.5502   |
  | No log        | 1.91  | 10   | 1.6353          | 61.8019 | 53.8614 | 58.9744 | 61.339    |
  | No log        | 2.91  | 15   | 1.5321          | 59.7045 | 51.5968 | 57.0823 | 59.2417   |
  | No log        | 3.91  | 20   | 1.4569          | 62.4379 | 54.5464 | 59.9202 | 61.9242   |
  | 1.5608        | 4.91  | 25   | 1.4613          | 63.3808 | 55.8818 | 61.432  | 63.0208   |
  | 1.5608        | 5.91  | 30   | 1.4321          | 59.6761 | 50.9812 | 56.7977 | 59.1214   |
  | 1.5608        | 6.91  | 35   | 1.4753          | 62.6439 | 54.7158 | 60.3831 | 62.1046   |
  | 1.5608        | 7.91  | 40   | 1.4783          | 60.2735 | 52.7462 | 57.77   | 59.9725   |
  | 0.6428        | 8.91  | 45   | 1.4974          | 62.8691 | 54.9062 | 60.3496 | 62.5132   |
  | 0.6428        | 9.91  | 50   | 1.5216          | 59.5791 | 51.3273 | 56.9984 | 59.1424   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.9.1
  - Datasets 1.18.4
  - Tokenizers 0.10.3
  