readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-model2-1510-e8
    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-e8
  
  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: 0.3655
  - Rouge1: 61.3129
  - Rouge2: 57.3305
  - Rougel: 60.8028
  - Rougelsum: 60.5111
  - 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: 8
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 409  | 0.4572          | 56.7459 | 47.5708 | 54.6144 | 54.9188   | 20.0    |
  | 0.5704        | 2.0   | 818  | 0.4349          | 58.4751 | 50.7958 | 56.5975 | 56.941    | 20.0    |
  | 0.1956        | 3.0   | 1227 | 0.3952          | 61.6499 | 55.4368 | 60.157  | 60.2961   | 20.0    |
  | 0.1177        | 4.0   | 1636 | 0.3685          | 59.8851 | 54.1843 | 58.6443 | 58.8519   | 20.0    |
  | 0.0752        | 5.0   | 2045 | 0.3654          | 60.975  | 55.9124 | 60.0336 | 59.8978   | 20.0    |
  | 0.0752        | 6.0   | 2454 | 0.3525          | 61.268  | 55.7247 | 60.2274 | 60.1515   | 20.0    |
  | 0.0526        | 7.0   | 2863 | 0.3519          | 61.6626 | 57.9242 | 61.0212 | 60.8486   | 20.0    |
  | 0.0388        | 8.0   | 3272 | 0.3655          | 61.3129 | 57.3305 | 60.8028 | 60.5111   | 20.0    |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  