readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: finetuned_parsinlu_en_fa
    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. -->
  
  # finetuned_parsinlu_en_fa
  
  This model is a fine-tuned version of [persiannlp/mt5-small-parsinlu-translation_en_fa](https://huggingface.co/persiannlp/mt5-small-parsinlu-translation_en_fa) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5214
  - Bleu: 13.5318
  - Gen Len: 12.1251
  
  ## 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: 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: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
  | 1.7125        | 1.0   | 30987 | 1.5265          | 13.4269 | 12.127  |
  | 1.6943        | 2.0   | 61974 | 1.5214          | 13.5318 | 12.1251 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  