readme: ---
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-samsum-rescom-finetuned-resume-summarizer-10-epoch-tweak-lr-8-10-1
    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-8-10-1
  
  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: 1.4855
  - Rouge1: 58.3832
  - Rouge2: 49.9973
  - Rougel: 55.3055
  - Rougelsum: 57.7139
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 0.91  | 5    | 2.0183          | 52.3098 | 45.5304 | 49.2759 | 51.7456   |
  | No log        | 1.91  | 10   | 1.6564          | 61.815  | 53.9035 | 58.4243 | 60.784    |
  | No log        | 2.91  | 15   | 1.5330          | 61.3032 | 54.12   | 58.9152 | 60.7178   |
  | No log        | 3.91  | 20   | 1.4539          | 63.3012 | 56.2987 | 61.0907 | 62.5217   |
  | 1.5646        | 4.91  | 25   | 1.4578          | 62.4815 | 55.1453 | 60.3921 | 61.6067   |
  | 1.5646        | 5.91  | 30   | 1.4284          | 61.5347 | 54.1271 | 58.8474 | 60.5427   |
  | 1.5646        | 6.91  | 35   | 1.4467          | 61.5081 | 53.8512 | 59.2782 | 60.6928   |
  | 1.5646        | 7.91  | 40   | 1.4653          | 59.5349 | 51.8208 | 56.5996 | 58.8211   |
  | 0.6692        | 8.91  | 45   | 1.4740          | 57.2917 | 49.5416 | 54.8409 | 56.6276   |
  | 0.6692        | 9.91  | 50   | 1.4855          | 58.3832 | 49.9973 | 55.3055 | 57.7139   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.9.1
  - Datasets 1.18.4
  - Tokenizers 0.10.3
  