readme: ---
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-samsum-rescom-finetuned-resume-summarizer-9-epoch-tweak
    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-9-epoch-tweak
  
  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: 1.4511
  - Rouge1: 59.76
  - Rouge2: 52.1999
  - Rougel: 57.3631
  - Rougelsum: 59.3075
  
  ## 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: 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: 9
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 0.91  | 5    | 2.0185          | 52.2186 | 45.4675 | 49.3152 | 51.9415   |
  | No log        | 1.91  | 10   | 1.6571          | 60.7728 | 52.8611 | 57.3487 | 60.1676   |
  | No log        | 2.91  | 15   | 1.5323          | 60.5674 | 52.2246 | 57.9846 | 60.073    |
  | No log        | 3.91  | 20   | 1.4556          | 61.2167 | 53.5087 | 58.9609 | 60.893    |
  | 1.566         | 4.91  | 25   | 1.4632          | 62.918  | 55.4544 | 60.7116 | 62.6614   |
  | 1.566         | 5.91  | 30   | 1.4360          | 60.4173 | 52.5859 | 57.8131 | 59.8864   |
  | 1.566         | 6.91  | 35   | 1.4361          | 61.4273 | 53.9663 | 59.4445 | 60.9672   |
  | 1.566         | 7.91  | 40   | 1.4477          | 60.3401 | 52.7276 | 57.7504 | 59.8209   |
  | 0.6928        | 8.91  | 45   | 1.4511          | 59.76   | 52.1999 | 57.3631 | 59.3075   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.9.1
  - Datasets 1.18.4
  - Tokenizers 0.10.3
  