readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - turkic_xwmt
  metrics:
  - bleu
  model-index:
  - name: opus-mt-tr-en-finetuned-az-to-en
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: turkic_xwmt
        type: turkic_xwmt
        args: az-en
      metrics:
      - name: Bleu
        type: bleu
        value: 0.0002
  ---
  
  <!-- 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. -->
  
  # opus-mt-tr-en-finetuned-az-to-en
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tr-en](https://huggingface.co/Helsinki-NLP/opus-mt-tr-en) on the turkic_xwmt dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  - Bleu: 0.0002
  - Gen Len: 511.0
  
  ## 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: 0.2
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - 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 | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 38   | nan             | 0.0002 | 511.0   |
  | No log        | 2.0   | 76   | nan             | 0.0002 | 511.0   |
  | No log        | 3.0   | 114  | nan             | 0.0002 | 511.0   |
  | No log        | 4.0   | 152  | nan             | 0.0002 | 511.0   |
  | No log        | 5.0   | 190  | nan             | 0.0002 | 511.0   |
  | No log        | 6.0   | 228  | nan             | 0.0002 | 511.0   |
  | No log        | 7.0   | 266  | nan             | 0.0002 | 511.0   |
  | No log        | 8.0   | 304  | nan             | 0.0002 | 511.0   |
  | No log        | 9.0   | 342  | nan             | 0.0002 | 511.0   |
  | No log        | 10.0  | 380  | nan             | 0.0002 | 511.0   |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  