readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-samsum-ElectrifAi_v8
    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_v8
  
  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: 1.5051
  - Rouge1: 51.3789
  - Rouge2: 27.7926
  - Rougel: 38.0256
  - Rougelsum: 50.0685
  - Gen Len: 104.4
  
  ## 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   | 1.4978          | 54.3415 | 30.2195 | 39.7514 | 52.7012   | 103.2667 |
  | No log        | 2.0   | 54   | 1.5002          | 51.6735 | 28.1006 | 37.5005 | 49.9317   | 117.8    |
  | No log        | 3.0   | 81   | 1.5051          | 51.3789 | 27.7926 | 38.0256 | 50.0685   | 104.4    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  