readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mbart-large-50-finetuned-summarization-V2
    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. -->
  
  # mbart-large-50-finetuned-summarization-V2
  
  This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9183
  - Rouge1: 50.0118
  - Rouge2: 31.3168
  - Rougel: 37.6392
  - Rougelsum: 45.2287
  - Gen Len: 102.3571
  
  ## 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: 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | No log        | 1.0   | 15   | 2.0228          | 51.9711 | 32.5963 | 39.9154 | 48.3431   | 134.6429 |
  | No log        | 2.0   | 30   | 1.9410          | 48.2977 | 30.5942 | 35.9761 | 43.7634   | 92.0714  |
  | No log        | 3.0   | 45   | 1.9183          | 50.0118 | 31.3168 | 37.6392 | 45.2287   | 102.3571 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  