readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: pegasus-large-commentaries_hd
    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. -->
  
  # pegasus-large-commentaries_hd
  
  This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5453
  - Rouge1: 26.3475
  - Rouge2: 9.5095
  - Rougel: 22.6367
  - Rougelsum: 22.8127
  - Gen Len: 14.4789
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 2.5718        | 1.0   | 4710  | 2.5277          | 25.1384 | 8.6528 | 21.3443 | 21.5289   | 15.3268 |
  | 2.4034        | 2.0   | 9420  | 2.4973          | 25.9298 | 9.2238 | 22.3192 | 22.4817   | 14.2243 |
  | 2.2093        | 3.0   | 14130 | 2.5013          | 26.6036 | 9.7482 | 22.8409 | 23.0077   | 14.2263 |
  | 2.0518        | 4.0   | 18840 | 2.5272          | 26.4723 | 9.6599 | 22.7439 | 22.9201   | 14.38   |
  | 1.9906        | 5.0   | 23550 | 2.5453          | 26.3475 | 9.5095 | 22.6367 | 22.8127   | 14.4789 |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  