readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-model2-1510-e4
    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-model2-1510-e4
  
  This model is a fine-tuned version of [theojolliffe/bart-paraphrase-v4-e1-feedback](https://huggingface.co/theojolliffe/bart-paraphrase-v4-e1-feedback) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4317
  - Rouge1: 66.2469
  - Rouge2: 61.9187
  - Rougel: 64.975
  - Rougelsum: 65.8105
  - Gen Len: 20.0
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 409  | 0.4893          | 63.6678 | 55.1935 | 61.0167 | 62.2738   | 20.0    |
  | 0.5697        | 2.0   | 818  | 0.4261          | 65.5028 | 59.8267 | 63.9004 | 64.5644   | 20.0    |
  | 0.1918        | 3.0   | 1227 | 0.4179          | 66.7784 | 61.5052 | 64.3163 | 65.6703   | 20.0    |
  | 0.098         | 4.0   | 1636 | 0.4317          | 66.2469 | 61.9187 | 64.975  | 65.8105   | 20.0    |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  