readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: fb-bart-large-finetuned-trade-the-event-finance-summarizer-finetuned-roundup-1-4
    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-finetuned-roundup-1-4
  
  This model is a fine-tuned version of [nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer](https://huggingface.co/nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8305
  - Rouge1: 54.122
  - Rouge2: 35.2787
  - Rougel: 37.6989
  - Rougelsum: 51.4679
  - Gen Len: 142.0
  
  ## 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: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | 1.7158        | 1.0   | 795  | 0.9986          | 53.1755 | 33.3503 | 35.235  | 50.6513   | 142.0    |
  | 0.7643        | 2.0   | 1590 | 0.8622          | 53.3646 | 34.429  | 36.7998 | 51.0487   | 141.1852 |
  | 0.5894        | 3.0   | 2385 | 0.8345          | 54.2777 | 35.0495 | 37.8567 | 51.7937   | 142.0    |
  | 0.4039        | 4.0   | 3180 | 0.8305          | 54.122  | 35.2787 | 37.6989 | 51.4679   | 142.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  