readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-samsum-ElectrifAi_v8.1
    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-ElectrifAi_v8.1
  
  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: 1.3222
  - Rouge1: 55.3039
  - Rouge2: 31.3218
  - Rougel: 42.3951
  - Rougelsum: 53.2394
  - Gen Len: 108.9
  
  ## 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   | 1.3061          | 53.8018 | 30.0487 | 39.9195 | 52.1464   | 101.4333 |
  | No log        | 2.0   | 54   | 1.2995          | 54.2973 | 30.6364 | 42.0125 | 51.995    | 99.6     |
  | No log        | 3.0   | 81   | 1.3222          | 55.3039 | 31.3218 | 42.3951 | 53.2394   | 108.9    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  