readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-samsum-ElectrifAi_v7
    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_v7
  
  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: 1.3396
  - Rouge1: 53.6259
  - Rouge2: 29.3085
  - Rougel: 39.5423
  - Rougelsum: 51.4836
  - Gen Len: 105.963
  
  ## 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   | 24   | 1.3377          | 53.4184 | 29.2938 | 38.7671 | 51.2253   | 114.9259 |
  | No log        | 2.0   | 48   | 1.3225          | 53.1653 | 29.2807 | 40.6062 | 50.9565   | 116.037  |
  | No log        | 3.0   | 72   | 1.3396          | 53.6259 | 29.3085 | 39.5423 | 51.4836   | 105.963  |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  