readme: ---
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: fb-bart-large-finetuned-trade-the-event-finance-summarizer
    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. -->
  
  # fb-bart-large-finetuned-trade-the-event-finance-summarizer
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5103
  - Rouge1: 57.6289
  - Rouge2: 53.0421
  - Rougel: 56.54
  - Rougelsum: 56.5636
  
  ## 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: 5.6e-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: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 1.8188        | 1.0   | 1688  | 1.7495          | 37.9629 | 22.0496 | 32.2942 | 32.4631   |
  | 1.2551        | 2.0   | 3376  | 1.7559          | 38.5548 | 22.7487 | 32.9304 | 33.0737   |
  | 0.8629        | 3.0   | 5064  | 1.9539          | 39.3912 | 22.8503 | 33.2043 | 33.4378   |
  | 0.5661        | 4.0   | 6752  | 2.1153          | 39.1514 | 22.8104 | 33.1306 | 33.2955   |
  | 0.3484        | 5.0   | 8440  | 2.3289          | 39.0093 | 22.4364 | 32.5868 | 32.7545   |
  | 0.2009        | 6.0   | 10128 | 2.5754          | 39.0874 | 22.4444 | 32.6894 | 32.8413   |
  | 0.1105        | 7.0   | 11816 | 2.8093          | 39.0905 | 22.4051 | 32.597  | 32.8183   |
  | 0.0609        | 8.0   | 13504 | 0.5103          | 57.6289 | 53.0421 | 56.54   | 56.5636   |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  