readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - opus_books
  model-index:
  - name: flan-t5-base-finetuned-opus_books-en-to-no-test
    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. -->
  
  # flan-t5-base-finetuned-opus_books-en-to-no-test
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the opus_books dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 3.3140
  - eval_bleu: 3.6909
  - eval_gen_len: 17.9657
  - eval_runtime: 65.0133
  - eval_samples_per_second: 5.384
  - eval_steps_per_second: 2.692
  - epoch: 155.0
  - step: 244125
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 200
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.10.3
  