readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: nmt-mpst-id-en-lr_1e-05-ep_30-seq_128_bs-32
    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_1e-05-ep_30-seq_128_bs-32
  
  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: 2.6636
  - Bleu: 0.0405
  - Meteor: 0.1481
  
  ## 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: 1e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Meteor |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | No log        | 1.0   | 202  | 3.0655          | 0.0225 | 0.0979 |
  | No log        | 2.0   | 404  | 2.9938          | 0.0254 | 0.1076 |
  | 3.3387        | 3.0   | 606  | 2.9513          | 0.0273 | 0.1124 |
  | 3.3387        | 4.0   | 808  | 2.9152          | 0.0283 | 0.115  |
  | 3.1851        | 5.0   | 1010 | 2.8882          | 0.0288 | 0.1167 |
  | 3.1851        | 6.0   | 1212 | 2.8676          | 0.0299 | 0.1202 |
  | 3.1851        | 7.0   | 1414 | 2.8431          | 0.0306 | 0.1215 |
  | 3.1032        | 8.0   | 1616 | 2.8280          | 0.0313 | 0.124  |
  | 3.1032        | 9.0   | 1818 | 2.8119          | 0.0323 | 0.1258 |
  | 3.052         | 10.0  | 2020 | 2.7964          | 0.0326 | 0.1279 |
  | 3.052         | 11.0  | 2222 | 2.7843          | 0.0334 | 0.1311 |
  | 3.052         | 12.0  | 2424 | 2.7702          | 0.0344 | 0.1326 |
  | 3.0051        | 13.0  | 2626 | 2.7596          | 0.035  | 0.1344 |
  | 3.0051        | 14.0  | 2828 | 2.7462          | 0.0353 | 0.1351 |
  | 2.9733        | 15.0  | 3030 | 2.7361          | 0.0361 | 0.1377 |
  | 2.9733        | 16.0  | 3232 | 2.7277          | 0.0366 | 0.1389 |
  | 2.9733        | 17.0  | 3434 | 2.7180          | 0.0372 | 0.1405 |
  | 2.9451        | 18.0  | 3636 | 2.7108          | 0.0378 | 0.1417 |
  | 2.9451        | 19.0  | 3838 | 2.7026          | 0.0382 | 0.143  |
  | 2.9197        | 20.0  | 4040 | 2.6948          | 0.0384 | 0.1439 |
  | 2.9197        | 21.0  | 4242 | 2.6904          | 0.0389 | 0.1448 |
  | 2.9197        | 22.0  | 4444 | 2.6846          | 0.0395 | 0.1461 |
  | 2.9004        | 23.0  | 4646 | 2.6792          | 0.0398 | 0.1466 |
  | 2.9004        | 24.0  | 4848 | 2.6759          | 0.0401 | 0.1472 |
  | 2.891         | 25.0  | 5050 | 2.6719          | 0.0403 | 0.1474 |
  | 2.891         | 26.0  | 5252 | 2.6685          | 0.0405 | 0.1473 |
  | 2.891         | 27.0  | 5454 | 2.6667          | 0.0408 | 0.1484 |
  | 2.8783        | 28.0  | 5656 | 2.6650          | 0.0406 | 0.1481 |
  | 2.8783        | 29.0  | 5858 | 2.6639          | 0.0406 | 0.1482 |
  | 2.8784        | 30.0  | 6060 | 2.6636          | 0.0405 | 0.1481 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  