readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-model2-1510-e6
    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-e6
  
  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: 0.4903
  - Rouge1: 66.541
  - Rouge2: 62.0799
  - Rougel: 65.123
  - Rougelsum: 66.0849
  - 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: 6
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 409  | 0.4982          | 64.0814 | 56.458  | 61.787  | 62.5761   | 20.0    |
  | 0.5699        | 2.0   | 818  | 0.4216          | 65.1935 | 59.1949 | 63.3361 | 64.071    | 20.0    |
  | 0.1953        | 3.0   | 1227 | 0.4284          | 66.1645 | 61.4297 | 64.8168 | 65.4799   | 20.0    |
  | 0.1025        | 4.0   | 1636 | 0.4722          | 65.4591 | 60.807  | 64.1694 | 64.8935   | 20.0    |
  | 0.0765        | 5.0   | 2045 | 0.5023          | 65.8001 | 61.49   | 64.7804 | 65.6771   | 20.0    |
  | 0.0765        | 6.0   | 2454 | 0.4903          | 66.541  | 62.0799 | 65.123  | 66.0849   | 20.0    |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  