readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: nmt-mpst-id-en-lr_0.001-ep_20-seq_128_bs-16
    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. -->
  
  # nmt-mpst-id-en-lr_0.001-ep_20-seq_128_bs-16
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9735
  - Bleu: 0.2017
  - Meteor: 0.3744
  
  ## 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: 0.001
  - 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Meteor |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | No log        | 1.0   | 404  | 2.0539          | 0.1063 | 0.2561 |
  | 2.5624        | 2.0   | 808  | 1.7616          | 0.1363 | 0.2966 |
  | 1.7817        | 3.0   | 1212 | 1.6548          | 0.1612 | 0.325  |
  | 1.4215        | 4.0   | 1616 | 1.6071          | 0.1725 | 0.3388 |
  | 1.2099        | 5.0   | 2020 | 1.5886          | 0.1841 | 0.3517 |
  | 1.2099        | 6.0   | 2424 | 1.5992          | 0.1882 | 0.3571 |
  | 1.0117        | 7.0   | 2828 | 1.5909          | 0.1892 | 0.358  |
  | 0.878         | 8.0   | 3232 | 1.6242          | 0.1947 | 0.3652 |
  | 0.7881        | 9.0   | 3636 | 1.6626          | 0.197  | 0.3673 |
  | 0.6932        | 10.0  | 4040 | 1.6918          | 0.196  | 0.3679 |
  | 0.6932        | 11.0  | 4444 | 1.7347          | 0.1956 | 0.3683 |
  | 0.6069        | 12.0  | 4848 | 1.7718          | 0.2008 | 0.3711 |
  | 0.5426        | 13.0  | 5252 | 1.8005          | 0.2011 | 0.372  |
  | 0.4946        | 14.0  | 5656 | 1.8383          | 0.201  | 0.3732 |
  | 0.4414        | 15.0  | 6060 | 1.8713          | 0.2031 | 0.3743 |
  | 0.4414        | 16.0  | 6464 | 1.9040          | 0.2025 | 0.3748 |
  | 0.4039        | 17.0  | 6868 | 1.9381          | 0.202  | 0.3736 |
  | 0.3661        | 18.0  | 7272 | 1.9497          | 0.2006 | 0.3732 |
  | 0.3424        | 19.0  | 7676 | 1.9680          | 0.2009 | 0.3744 |
  | 0.3253        | 20.0  | 8080 | 1.9735          | 0.2017 | 0.3744 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  