readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: nmt-mpst-id-en-lr_1e-05-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_1e-05-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: 2.6902
  - Bleu: 0.039
  - Meteor: 0.144
  
  ## 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Meteor |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | No log        | 1.0   | 404  | 3.1126          | 0.0197 | 0.0888 |
  | 3.6037        | 2.0   | 808  | 2.9899          | 0.0254 | 0.108  |
  | 3.2835        | 3.0   | 1212 | 2.9337          | 0.0275 | 0.1129 |
  | 3.1798        | 4.0   | 1616 | 2.8926          | 0.0284 | 0.1152 |
  | 3.1361        | 5.0   | 2020 | 2.8638          | 0.0295 | 0.1196 |
  | 3.1361        | 6.0   | 2424 | 2.8362          | 0.0305 | 0.1222 |
  | 3.0848        | 7.0   | 2828 | 2.8137          | 0.0321 | 0.1266 |
  | 3.0439        | 8.0   | 3232 | 2.7928          | 0.0327 | 0.1284 |
  | 3.025         | 9.0   | 3636 | 2.7754          | 0.0337 | 0.1311 |
  | 2.9891        | 10.0  | 4040 | 2.7604          | 0.0348 | 0.134  |
  | 2.9891        | 11.0  | 4444 | 2.7469          | 0.0354 | 0.136  |
  | 2.9706        | 12.0  | 4848 | 2.7343          | 0.036  | 0.1372 |
  | 2.9537        | 13.0  | 5252 | 2.7250          | 0.0365 | 0.1387 |
  | 2.9471        | 14.0  | 5656 | 2.7152          | 0.0375 | 0.1408 |
  | 2.9274        | 15.0  | 6060 | 2.7081          | 0.038  | 0.142  |
  | 2.9274        | 16.0  | 6464 | 2.7021          | 0.0384 | 0.143  |
  | 2.9147        | 17.0  | 6868 | 2.6966          | 0.0387 | 0.1433 |
  | 2.9093        | 18.0  | 7272 | 2.6934          | 0.0389 | 0.1438 |
  | 2.9082        | 19.0  | 7676 | 2.6906          | 0.039  | 0.1437 |
  | 2.8945        | 20.0  | 8080 | 2.6902          | 0.039  | 0.144  |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  