readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: nmt-mpst-id-en-lr_0.0001-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_0.0001-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: 1.8218
  - Bleu: 0.1371
  - Meteor: 0.294
  
  ## 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: 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  | 2.6357          | 0.042  | 0.1513 |
  | No log        | 2.0   | 404  | 2.4891          | 0.0526 | 0.1749 |
  | 2.781         | 3.0   | 606  | 2.3754          | 0.062  | 0.1918 |
  | 2.781         | 4.0   | 808  | 2.2946          | 0.0693 | 0.2047 |
  | 2.4692        | 5.0   | 1010 | 2.2262          | 0.0779 | 0.2175 |
  | 2.4692        | 6.0   | 1212 | 2.1729          | 0.0825 | 0.2231 |
  | 2.4692        | 7.0   | 1414 | 2.1226          | 0.0897 | 0.2328 |
  | 2.2484        | 8.0   | 1616 | 2.0789          | 0.0932 | 0.2381 |
  | 2.2484        | 9.0   | 1818 | 2.0450          | 0.1007 | 0.2478 |
  | 2.099         | 10.0  | 2020 | 2.0132          | 0.1041 | 0.255  |
  | 2.099         | 11.0  | 2222 | 1.9818          | 0.1085 | 0.2584 |
  | 2.099         | 12.0  | 2424 | 1.9608          | 0.113  | 0.2639 |
  | 1.9729        | 13.0  | 2626 | 1.9422          | 0.1165 | 0.2689 |
  | 1.9729        | 14.0  | 2828 | 1.9223          | 0.1186 | 0.2717 |
  | 1.8885        | 15.0  | 3030 | 1.9114          | 0.1219 | 0.2757 |
  | 1.8885        | 16.0  | 3232 | 1.9020          | 0.1238 | 0.2794 |
  | 1.8885        | 17.0  | 3434 | 1.8827          | 0.1254 | 0.2793 |
  | 1.8171        | 18.0  | 3636 | 1.8762          | 0.1278 | 0.2824 |
  | 1.8171        | 19.0  | 3838 | 1.8686          | 0.1298 | 0.285  |
  | 1.7597        | 20.0  | 4040 | 1.8595          | 0.1307 | 0.2864 |
  | 1.7597        | 21.0  | 4242 | 1.8533          | 0.1328 | 0.2891 |
  | 1.7597        | 22.0  | 4444 | 1.8453          | 0.1335 | 0.2901 |
  | 1.7183        | 23.0  | 4646 | 1.8400          | 0.1347 | 0.2912 |
  | 1.7183        | 24.0  | 4848 | 1.8342          | 0.135  | 0.2914 |
  | 1.6893        | 25.0  | 5050 | 1.8308          | 0.1355 | 0.2919 |
  | 1.6893        | 26.0  | 5252 | 1.8258          | 0.1357 | 0.2924 |
  | 1.6893        | 27.0  | 5454 | 1.8248          | 0.1365 | 0.2933 |
  | 1.6667        | 28.0  | 5656 | 1.8233          | 0.137  | 0.294  |
  | 1.6667        | 29.0  | 5858 | 1.8223          | 0.1371 | 0.2941 |
  | 1.6585        | 30.0  | 6060 | 1.8218          | 0.1371 | 0.294  |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  