readme: ---
  tags:
  - generated_from_trainer
  model_index:
  - name: mbart50-ft-si-en
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
  ---
  
  <!-- 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. -->
  
  # mbart50-ft-si-en
  
  This model was trained from scratch on an unkown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.0476
  
  ## 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: 0.0005
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 0.98  | 30   | 5.6367          |
  | No log        | 1.98  | 60   | 4.1221          |
  | No log        | 2.98  | 90   | 3.1880          |
  | No log        | 3.98  | 120  | 3.1175          |
  | No log        | 4.98  | 150  | 3.3575          |
  | No log        | 5.98  | 180  | 3.7855          |
  | No log        | 6.98  | 210  | 4.3530          |
  | No log        | 7.98  | 240  | 4.7216          |
  | No log        | 8.98  | 270  | 4.9202          |
  | No log        | 9.98  | 300  | 5.0476          |
  
  
  ### Framework versions
  
  - Transformers 4.9.2
  - Pytorch 1.6.0
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  