readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: pegasus-large-finetuned-rahulver-summarization-pegasus-model
    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-finetuned-rahulver-summarization-pegasus-model
  
  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: 1.0906
  - Rouge1: 61.2393
  - Rouge2: 43.8277
  - Rougel: 50.0054
  - Rougelsum: 57.4674
  - Gen Len: 114.6
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | 1.3648        | 1.0   | 140  | 0.7201          | 50.0081 | 32.6454 | 39.3021 | 45.1602   | 125.7333 |
  | 0.8502        | 2.0   | 280  | 0.6067          | 57.8678 | 41.5251 | 46.0694 | 54.1055   | 128.3333 |
  | 0.5053        | 3.0   | 420  | 0.6642          | 58.3644 | 41.8619 | 47.6199 | 54.1639   | 108.9667 |
  | 0.3469        | 4.0   | 560  | 0.7318          | 61.8988 | 45.7303 | 51.1928 | 57.9306   | 123.1667 |
  | 0.2779        | 5.0   | 700  | 0.7274          | 62.9354 | 46.5    | 51.6431 | 59.2443   | 99.6333  |
  | 0.2124        | 6.0   | 840  | 0.8618          | 63.8552 | 48.3846 | 53.3804 | 60.2718   | 111.2333 |
  | 0.1864        | 7.0   | 980  | 1.0058          | 59.5675 | 42.4324 | 48.462  | 55.3498   | 108.4667 |
  | 0.1691        | 8.0   | 1120 | 0.9984          | 60.1063 | 43.6022 | 49.7163 | 56.9865   | 130.2    |
  | 0.1603        | 9.0   | 1260 | 1.0062          | 61.398  | 44.4507 | 50.2044 | 57.4447   | 99.0333  |
  | 0.1674        | 10.0  | 1400 | 1.0906          | 61.2393 | 43.8277 | 50.0054 | 57.4674   | 114.6    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  