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-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_1e-05-ep_30-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: 2.5612
  - Bleu: 0.0476
  - Meteor: 0.1643
  
  ## 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: 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: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu   | Meteor |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
  | No log        | 1.0   | 404   | 3.1116          | 0.0198 | 0.0892 |
  | 3.6027        | 2.0   | 808   | 2.9875          | 0.0255 | 0.1079 |
  | 3.2803        | 3.0   | 1212  | 2.9296          | 0.0276 | 0.1135 |
  | 3.1743        | 4.0   | 1616  | 2.8869          | 0.0287 | 0.116  |
  | 3.1283        | 5.0   | 2020  | 2.8564          | 0.03   | 0.1208 |
  | 3.1283        | 6.0   | 2424  | 2.8257          | 0.0309 | 0.1237 |
  | 3.0739        | 7.0   | 2828  | 2.8007          | 0.0324 | 0.1281 |
  | 3.0296        | 8.0   | 3232  | 2.7758          | 0.0334 | 0.131  |
  | 3.0059        | 9.0   | 3636  | 2.7548          | 0.0346 | 0.134  |
  | 2.965         | 10.0  | 4040  | 2.7349          | 0.0362 | 0.1371 |
  | 2.965         | 11.0  | 4444  | 2.7176          | 0.0374 | 0.1403 |
  | 2.9403        | 12.0  | 4848  | 2.6994          | 0.0382 | 0.1425 |
  | 2.9166        | 13.0  | 5252  | 2.6841          | 0.0393 | 0.1448 |
  | 2.9023        | 14.0  | 5656  | 2.6681          | 0.0404 | 0.1471 |
  | 2.8742        | 15.0  | 6060  | 2.6548          | 0.0411 | 0.1508 |
  | 2.8742        | 16.0  | 6464  | 2.6419          | 0.0422 | 0.1529 |
  | 2.8523        | 17.0  | 6868  | 2.6286          | 0.0428 | 0.1538 |
  | 2.8378        | 18.0  | 7272  | 2.6194          | 0.0434 | 0.1555 |
  | 2.8258        | 19.0  | 7676  | 2.6095          | 0.0441 | 0.1568 |
  | 2.8019        | 20.0  | 8080  | 2.6005          | 0.0447 | 0.1576 |
  | 2.8019        | 21.0  | 8484  | 2.5938          | 0.0455 | 0.1598 |
  | 2.7927        | 22.0  | 8888  | 2.5872          | 0.0459 | 0.1603 |
  | 2.7846        | 23.0  | 9292  | 2.5800          | 0.0462 | 0.161  |
  | 2.7775        | 24.0  | 9696  | 2.5757          | 0.0463 | 0.1621 |
  | 2.77          | 25.0  | 10100 | 2.5712          | 0.0466 | 0.1624 |
  | 2.7608        | 26.0  | 10504 | 2.5673          | 0.0469 | 0.1633 |
  | 2.7608        | 27.0  | 10908 | 2.5645          | 0.0472 | 0.1634 |
  | 2.7572        | 28.0  | 11312 | 2.5626          | 0.0474 | 0.1637 |
  | 2.7578        | 29.0  | 11716 | 2.5617          | 0.0476 | 0.1641 |
  | 2.7568        | 30.0  | 12120 | 2.5612          | 0.0476 | 0.1643 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  