readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  datasets:
  - kde4
  model-index:
  - name: marian-finetuned-kde4-en-to-fr
    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. -->
  
  # marian-finetuned-kde4-en-to-fr
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8815
  - Score: 52.2204
  - Counts: [166010, 120787, 91973, 70929]
  - Totals: [228361, 207343, 189354, 173335]
  - Precisions: [72.69630103213771, 58.254679444205976, 48.57198686058916, 40.92018345977443]
  - Bp: 0.9695
  - Sys Len: 228361
  - Ref Len: 235434
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.0a0+0aef44c
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  