readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-samsum-ElectrifAi_v9
    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-ElectrifAi_v9
  
  This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2325
  - Rouge1: 55.1928
  - Rouge2: 33.3871
  - Rougel: 43.865
  - Rougelsum: 54.1984
  - Gen Len: 108.8667
  
  ## 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: 2e-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: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | No log        | 1.0   | 27   | 1.2252          | 55.969  | 34.0884 | 43.1389 | 54.7972   | 108.0    |
  | No log        | 2.0   | 54   | 1.2156          | 55.834  | 34.3509 | 43.5382 | 54.4829   | 102.8    |
  | No log        | 3.0   | 81   | 1.2325          | 55.1928 | 33.3871 | 43.865  | 54.1984   | 108.8667 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  