readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: chinwag-instruct-entities-epochs-1-batch-2-chinwag-instruct-summary-2023-01-31-11-01-51
    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-entities-epochs-1-batch-2-chinwag-instruct-summary-2023-01-31-11-01-51
  
  This model is a fine-tuned version of [moneypenny/chinwag-instruct-summary](https://huggingface.co/moneypenny/chinwag-instruct-summary) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5996
  - Rouge1: 62.5602
  - Rouge2: 46.6138
  - Rougel: 62.5816
  - Rougelsum: 62.6027
  - Gen Len: 6.9803
  
  ## 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: 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: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.6404        | 1.0   | 41994 | 0.5996          | 62.5602 | 46.6138 | 62.5816 | 62.6027   | 6.9803  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  