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-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_20-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: 2.7787
  - Bleu: 0.0338
  - Meteor: 0.1312
  
  ## 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Meteor |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | No log        | 1.0   | 202  | 3.1965          | 0.0132 | 0.0696 |
  | No log        | 2.0   | 404  | 3.0644          | 0.0224 | 0.0975 |
  | 3.5509        | 3.0   | 606  | 2.9995          | 0.0255 | 0.1075 |
  | 3.5509        | 4.0   | 808  | 2.9538          | 0.0269 | 0.1106 |
  | 3.2374        | 5.0   | 1010 | 2.9221          | 0.0277 | 0.1134 |
  | 3.2374        | 6.0   | 1212 | 2.8996          | 0.0286 | 0.1165 |
  | 3.2374        | 7.0   | 1414 | 2.8750          | 0.0291 | 0.1177 |
  | 3.143         | 8.0   | 1616 | 2.8611          | 0.0297 | 0.1197 |
  | 3.143         | 9.0   | 1818 | 2.8466          | 0.0303 | 0.1209 |
  | 3.092         | 10.0  | 2020 | 2.8330          | 0.0312 | 0.1229 |
  | 3.092         | 11.0  | 2222 | 2.8234          | 0.0318 | 0.1247 |
  | 3.092         | 12.0  | 2424 | 2.8130          | 0.0322 | 0.1264 |
  | 3.0511        | 13.0  | 2626 | 2.8058          | 0.0323 | 0.1269 |
  | 3.0511        | 14.0  | 2828 | 2.7970          | 0.0324 | 0.1272 |
  | 3.0288        | 15.0  | 3030 | 2.7914          | 0.033  | 0.1288 |
  | 3.0288        | 16.0  | 3232 | 2.7877          | 0.0331 | 0.1299 |
  | 3.0288        | 17.0  | 3434 | 2.7837          | 0.0333 | 0.1302 |
  | 3.0133        | 18.0  | 3636 | 2.7809          | 0.0336 | 0.1308 |
  | 3.0133        | 19.0  | 3838 | 2.7792          | 0.0337 | 0.131  |
  | 3.0028        | 20.0  | 4040 | 2.7787          | 0.0338 | 0.1312 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  