readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - wmt16_en_ro_pre_processed
  metrics:
  - bleu
  model-index:
  - name: t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: wmt16_en_ro_pre_processed
        type: wmt16_en_ro_pre_processed
        args: enro
      metrics:
      - name: Bleu
        type: bleu
        value: 0.0617
  ---
  
  <!-- 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-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro
  
  This model is a fine-tuned version of [patrickvonplaten/t5-tiny-random](https://huggingface.co/patrickvonplaten/t5-tiny-random) on the wmt16_en_ro_pre_processed dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.6426
  - Bleu: 0.0617
  - Gen Len: 8.9895
  
  ## 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: 0.0002
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
  | 4.5828        | 1.0   | 76290  | 5.5397          | 0.0089 | 8.981   |
  | 4.187         | 2.0   | 152580 | 5.2241          | 0.0172 | 8.989   |
  | 3.9612        | 3.0   | 228870 | 5.0092          | 0.034  | 8.988   |
  | 3.8151        | 4.0   | 305160 | 4.8688          | 0.0365 | 8.9865  |
  | 3.7162        | 5.0   | 381450 | 4.7656          | 0.0469 | 8.9865  |
  | 3.6498        | 6.0   | 457740 | 4.6874          | 0.0531 | 8.9885  |
  | 3.6147        | 7.0   | 534030 | 4.6612          | 0.0585 | 8.9875  |
  | 3.5972        | 8.0   | 610320 | 4.6426          | 0.0617 | 8.9895  |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu102
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  