readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mt5-small-finetuned-ar-to-th-finetuned-ar-to-th-2nd-round-finetuned-ar-to-th-3rd-round
    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. -->
  
  # mt5-small-finetuned-ar-to-th-finetuned-ar-to-th-2nd-round-finetuned-ar-to-th-3rd-round
  
  This model is a fine-tuned version of [Shularp/mt5-small-finetuned-ar-to-th](https://huggingface.co/Shularp/mt5-small-finetuned-ar-to-th) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7393
  - Bleu: 5.3860
  
  ## 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu   |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 3.5917        | 1.0   | 16806 | 2.8661          | 4.1430 |
  | 3.432         | 2.0   | 33612 | 2.7698          | 5.0779 |
  | 3.3793        | 3.0   | 50418 | 2.7393          | 5.3860 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  