readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - opus_books
  metrics:
  - bleu
  model-index:
  - name: t5-base-finetuned-en-to-no
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: opus_books
        type: opus_books
        args: en-no
      metrics:
      - name: Bleu
        type: bleu
        value: 4.8513
  ---
  
  <!-- 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. -->
  
  # t5-base-finetuned-en-to-no
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the opus_books dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.9566
  - Bleu: 4.8513
  - Gen Len: 17.84
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 280
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
  | 3.3949        | 1.0   | 788    | 2.7553          | 0.9274 | 18.1314 |
  | 2.8659        | 2.0   | 1576   | 2.5367          | 1.2755 | 18.1543 |
  | 2.7244        | 3.0   | 2364   | 2.3900          | 1.6351 | 18.0343 |
  | 2.5228        | 4.0   | 3152   | 2.2902          | 1.7125 | 18.0543 |
  | 2.4201        | 5.0   | 3940   | 2.2039          | 1.7217 | 18.0914 |
  | 2.3168        | 6.0   | 4728   | 2.1429          | 2.0474 | 18.08   |
  | 2.1856        | 7.0   | 5516   | 2.0772          | 2.228  | 18.0686 |
  | 2.12          | 8.0   | 6304   | 2.0333          | 2.1694 | 17.98   |
  | 2.0519        | 9.0   | 7092   | 1.9931          | 2.257  | 17.9914 |
  | 1.9856        | 10.0  | 7880   | 1.9540          | 2.489  | 18.04   |
  | 1.9164        | 11.0  | 8668   | 1.9266          | 2.5762 | 17.9629 |
  | 1.8864        | 12.0  | 9456   | 1.9036          | 2.8294 | 17.9857 |
  | 1.8276        | 13.0  | 10244  | 1.8695          | 2.9018 | 17.98   |
  | 1.7715        | 14.0  | 11032  | 1.8584          | 3.04   | 17.9886 |
  | 1.7302        | 15.0  | 11820  | 1.8487          | 2.9588 | 18.0057 |
  | 1.6768        | 16.0  | 12608  | 1.8155          | 3.1968 | 17.9943 |
  | 1.6564        | 17.0  | 13396  | 1.8137          | 3.3315 | 17.9657 |
  | 1.6039        | 18.0  | 14184  | 1.7863          | 3.4057 | 18.0629 |
  | 1.5735        | 19.0  | 14972  | 1.7945          | 3.6905 | 17.9571 |
  | 1.5319        | 20.0  | 15760  | 1.7830          | 3.5128 | 17.9714 |
  | 1.4993        | 21.0  | 16548  | 1.7745          | 3.4125 | 18.0057 |
  | 1.4622        | 22.0  | 17336  | 1.7655          | 3.3974 | 17.9543 |
  | 1.448         | 23.0  | 18124  | 1.7599          | 3.75   | 17.9057 |
  | 1.3995        | 24.0  | 18912  | 1.7557          | 3.6852 | 17.8286 |
  | 1.373         | 25.0  | 19700  | 1.7478          | 3.5797 | 17.9343 |
  | 1.3513        | 26.0  | 20488  | 1.7558          | 3.8526 | 17.8457 |
  | 1.3291        | 27.0  | 21276  | 1.7485          | 3.7037 | 17.9143 |
  | 1.3002        | 28.0  | 22064  | 1.7480          | 3.7433 | 17.96   |
  | 1.2655        | 29.0  | 22852  | 1.7578          | 4.0584 | 17.8914 |
  | 1.2354        | 30.0  | 23640  | 1.7514          | 4.2106 | 17.8686 |
  | 1.2224        | 31.0  | 24428  | 1.7576          | 3.9906 | 17.9    |
  | 1.1999        | 32.0  | 25216  | 1.7627          | 4.1242 | 17.92   |
  | 1.1672        | 33.0  | 26004  | 1.7548          | 4.1584 | 17.8286 |
  | 1.1547        | 34.0  | 26792  | 1.7446          | 4.1721 | 17.8143 |
  | 1.1313        | 35.0  | 27580  | 1.7613          | 4.3958 | 17.8457 |
  | 1.08          | 36.0  | 28368  | 1.7628          | 4.342  | 17.8829 |
  | 1.0927        | 37.0  | 29156  | 1.7685          | 4.4468 | 17.8971 |
  | 1.0751        | 38.0  | 29944  | 1.7731          | 4.4297 | 17.8886 |
  | 1.0492        | 39.0  | 30732  | 1.7641          | 4.5174 | 17.8714 |
  | 1.036         | 40.0  | 31520  | 1.7643          | 4.4578 | 17.84   |
  | 1.0172        | 41.0  | 32308  | 1.7820          | 4.5795 | 17.8429 |
  | 0.9966        | 42.0  | 33096  | 1.7830          | 4.3455 | 17.8743 |
  | 0.9812        | 43.0  | 33884  | 1.7890          | 4.3988 | 17.8486 |
  | 0.9624        | 44.0  | 34672  | 1.7953          | 4.5418 | 17.8143 |
  | 0.9485        | 45.0  | 35460  | 1.8046          | 4.5402 | 17.8143 |
  | 0.9383        | 46.0  | 36248  | 1.8010          | 4.5572 | 17.76   |
  | 0.9175        | 47.0  | 37036  | 1.8153          | 4.5916 | 17.7943 |
  | 0.8877        | 48.0  | 37824  | 1.8133          | 4.5799 | 17.7857 |
  | 0.8877        | 49.0  | 38612  | 1.8254          | 4.651