readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: nmt-mpst-id-en-lr_0.0001-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_0.0001-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: 1.8531
  - Bleu: 0.1306
  - Meteor: 0.2859
  
  ## 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: 0.0001
  - 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  | 2.7171          | 0.0374 | 0.14   |
  | 3.1222        | 2.0   | 808  | 2.4821          | 0.0519 | 0.1723 |
  | 2.7305        | 3.0   | 1212 | 2.3370          | 0.0663 | 0.1983 |
  | 2.4848        | 4.0   | 1616 | 2.2469          | 0.0771 | 0.2158 |
  | 2.3394        | 5.0   | 2020 | 2.1567          | 0.0857 | 0.227  |
  | 2.3394        | 6.0   | 2424 | 2.1038          | 0.0919 | 0.2369 |
  | 2.2007        | 7.0   | 2828 | 2.0403          | 0.0973 | 0.2449 |
  | 2.1027        | 8.0   | 3232 | 2.0105          | 0.1066 | 0.2554 |
  | 2.0299        | 9.0   | 3636 | 1.9725          | 0.1105 | 0.2606 |
  | 1.9568        | 10.0  | 4040 | 1.9515          | 0.1147 | 0.2655 |
  | 1.9568        | 11.0  | 4444 | 1.9274          | 0.118  | 0.2699 |
  | 1.8986        | 12.0  | 4848 | 1.9142          | 0.1215 | 0.2739 |
  | 1.8512        | 13.0  | 5252 | 1.8936          | 0.1243 | 0.2777 |
  | 1.8258        | 14.0  | 5656 | 1.8841          | 0.1254 | 0.279  |
  | 1.7854        | 15.0  | 6060 | 1.8792          | 0.1278 | 0.2827 |
  | 1.7854        | 16.0  | 6464 | 1.8662          | 0.1274 | 0.2818 |
  | 1.7598        | 17.0  | 6868 | 1.8604          | 0.1293 | 0.2834 |
  | 1.7436        | 18.0  | 7272 | 1.8598          | 0.13   | 0.2849 |
  | 1.7299        | 19.0  | 7676 | 1.8545          | 0.1308 | 0.2857 |
  | 1.7168        | 20.0  | 8080 | 1.8531          | 0.1306 | 0.2859 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  