readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: chinwag-instruct-bart-large-2023-02-01-17-04-05
    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. -->
  
  # chinwag-instruct-bart-large-2023-02-01-17-04-05
  
  This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8078
  - Rouge1: 61.8355
  - Rouge2: 45.7944
  - Rougel: 61.3921
  - Rougelsum: 61.4069
  - Gen Len: 9.7996
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.7175        | 1.0   | 14281 | 0.8078          | 61.8355 | 45.7944 | 61.3921 | 61.4069   | 9.7996  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  