readme: ---
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-samsum-rescom-finetuned-resume-summarizer-10-epoch-tweak-lr-8-100-1
    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-tweak-lr-8-100-1
  
  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: 2.6315
  - Rouge1: 61.441
  - Rouge2: 52.9403
  - Rougel: 58.3426
  - Rougelsum: 60.8249
  
  ## 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: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 0.91  | 5    | 2.0139          | 53.4301 | 46.6698 | 50.644  | 53.3985   |
  | No log        | 1.91  | 10   | 1.6309          | 61.4629 | 53.8884 | 59.0867 | 60.8823   |
  | No log        | 2.91  | 15   | 1.5379          | 61.2938 | 53.7208 | 59.0644 | 60.7381   |
  | No log        | 3.91  | 20   | 1.4470          | 63.2667 | 55.9273 | 60.5112 | 62.7538   |
  | 1.5454        | 4.91  | 25   | 1.4353          | 62.7166 | 54.8328 | 60.0101 | 62.1378   |
  | 1.5454        | 5.91  | 30   | 1.4411          | 59.7469 | 51.9068 | 57.036  | 58.9474   |
  | 1.5454        | 6.91  | 35   | 1.5195          | 64.152  | 57.1447 | 61.362  | 63.5951   |
  | 1.5454        | 7.91  | 40   | 1.6174          | 60.1464 | 51.5654 | 57.1676 | 59.4405   |
  | 0.5429        | 8.91  | 45   | 1.7451          | 61.9696 | 53.6421 | 58.5884 | 61.3286   |
  | 0.5429        | 9.91  | 50   | 1.9081          | 60.3296 | 52.3052 | 57.6518 | 59.7854   |
  | 0.5429        | 10.91 | 55   | 1.9721          | 61.5597 | 51.9027 | 57.1184 | 60.6717   |
  | 0.5429        | 11.91 | 60   | 2.0471          | 61.2222 | 53.9475 | 58.725  | 60.6668   |
  | 0.5429        | 12.91 | 65   | 2.1422          | 60.1915 | 52.0627 | 56.9955 | 59.438    |
  | 0.1506        | 13.91 | 70   | 2.1542          | 61.6915 | 53.045  | 58.1727 | 60.8765   |
  | 0.1506        | 14.91 | 75   | 2.1885          | 59.8069 | 51.6543 | 56.8112 | 59.2055   |
  | 0.1506        | 15.91 | 80   | 2.3146          | 61.695  | 53.2666 | 57.9003 | 61.1108   |
  | 0.1506        | 16.91 | 85   | 2.3147          | 60.4482 | 52.1694 | 57.0649 | 59.7882   |
  | 0.0452        | 17.91 | 90   | 2.1731          | 60.0259 | 51.5046 | 56.7399 | 59.2955   |
  | 0.0452        | 18.91 | 95   | 2.2690          | 60.0534 | 52.4819 | 57.1631 | 59.5056   |
  | 0.0452        | 19.91 | 100  | 2.2990          | 58.0737 | 48.8098 | 54.5684 | 57.3187   |
  | 0.0452        | 20.91 | 105  | 2.2704          | 61.8982 | 53.9077 | 58.6909 | 61.4252   |
  | 0.0267        | 21.91 | 110  | 2.3012          | 62.0174 | 53.5427 | 58.5278 | 61.1921   |
  | 0.0267        | 22.91 | 115  | 2.3569          | 61.6327 | 53.7387 | 58.8908 | 61.1623   |
  | 0.0267        | 23.91 | 120  | 2.3579          | 60.228  | 52.3747 | 58.1448 | 59.7322   |
  | 0.0267        | 24.91 | 125  | 2.3389          | 60.4902 | 51.7935 | 57.0689 | 59.7132   |
  | 0.0267        | 25.91 | 130  | 2.3168          | 58.8469 | 50.3181 | 55.7386 | 58.3598   |
  | 0.0211        | 26.91 | 135  | 2.4147          | 59.4225 | 50.8405 | 56.503  | 58.7221   |
  | 0.0211        | 27.91 | 140  | 2.3631          | 59.7489 | 51.2137 | 57.3204 | 59.3348   |
  | 0.0211        | 28.91 | 145  | 2.3850          | 60.1718 | 51.4176 | 57.2152 | 59.5157   |
  | 0.0211        | 29.91 | 150  | 2.4610          | 60.1433 | 51.433  | 56.6256 | 59.3265   |
  | 0.0175        | 30.91 | 155  | 2.4400          | 58.8345 | 49.7031 | 55.3079 | 57.9236   |
  | 0.0175        | 31.91 | 160  | 2.4506          | 59.209  | 50.1626 | 55.6451 | 58.5791   |
  | 0.0175        | 32.91 | 165  | 2.4316          | 59.7713 | 50.8999 | 56.4235 | 58.9845   |
  | 0.0175        | 33.91 | 170  | 2.2781          | 60.1822 | 51.9435 | 57.4586 | 59.6766   |
  | 0.0175        | 34.91 | 175  | 2.3849          | 58.2328 | 49.2106 | 55.1516 | 57.5072   |
  | 0.0141        | 35.91 | 180  | 2.4872          | 58.4916 | 50.3345 | 55.5991 | 58.1131   |
  | 0.0141        | 36.91 | 185  | 2.4883          | 59.0957 | 49.76   | 55.3567 | 58.076    |
  | 0.0141        | 37.91 | 190  | 2.4327       