readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: marian-finetuned-tgl-eng-netspeak-trial6
    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-tgl-eng-netspeak-trial6
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tl-en](https://huggingface.co/Helsinki-NLP/opus-mt-tl-en) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3343
  - Bleu: 28.3769
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 150
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 4.5424        | 1.0   | 57   | 3.8496          | 5.8759  |
  | 3.6414        | 2.0   | 114  | 3.5073          | 9.0838  |
  | 3.1777        | 3.0   | 171  | 3.2660          | 10.0099 |
  | 2.7865        | 4.0   | 228  | 3.0646          | 12.0484 |
  | 2.4638        | 5.0   | 285  | 2.9109          | 14.0737 |
  | 2.1815        | 6.0   | 342  | 2.7853          | 16.3752 |
  | 1.9426        | 7.0   | 399  | 2.6832          | 17.7971 |
  | 1.725         | 8.0   | 456  | 2.6060          | 19.5480 |
  | 1.5336        | 9.0   | 513  | 2.5433          | 20.8335 |
  | 1.3571        | 10.0  | 570  | 2.4888          | 21.9160 |
  | 1.2081        | 11.0  | 627  | 2.4424          | 21.7108 |
  | 1.0733        | 12.0  | 684  | 2.4045          | 23.9640 |
  | 0.9516        | 13.0  | 741  | 2.3940          | 24.4162 |
  | 0.8487        | 14.0  | 798  | 2.3840          | 27.1127 |
  | 0.7513        | 15.0  | 855  | 2.3563          | 27.3229 |
  | 0.662         | 16.0  | 912  | 2.3501          | 25.8083 |
  | 0.5835        | 17.0  | 969  | 2.3506          | 27.0424 |
  | 0.5247        | 18.0  | 1026 | 2.3355          | 27.9392 |
  | 0.4648        | 19.0  | 1083 | 2.3379          | 27.1880 |
  | 0.4047        | 20.0  | 1140 | 2.3343          | 28.3769 |
  | 0.3574        | 21.0  | 1197 | 2.3431          | 27.9125 |
  | 0.3183        | 22.0  | 1254 | 2.3407          | 29.3798 |
  | 0.2828        | 23.0  | 1311 | 2.3408          | 30.5316 |
  | 0.2528        | 24.0  | 1368 | 2.3368          | 29.9854 |
  | 0.2306        | 25.0  | 1425 | 2.3603          | 30.4071 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  