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-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_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: 1.9722
  - Bleu: 0.1118
  - Meteor: 0.2641
  
  ## 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Meteor |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | No log        | 1.0   | 202  | 2.8076          | 0.0316 | 0.1256 |
  | No log        | 2.0   | 404  | 2.6213          | 0.0427 | 0.1545 |
  | 3.0404        | 3.0   | 606  | 2.4851          | 0.0532 | 0.1754 |
  | 3.0404        | 4.0   | 808  | 2.3880          | 0.0605 | 0.1894 |
  | 2.5973        | 5.0   | 1010 | 2.3137          | 0.0685 | 0.2014 |
  | 2.5973        | 6.0   | 1212 | 2.2489          | 0.0729 | 0.2084 |
  | 2.5973        | 7.0   | 1414 | 2.1949          | 0.0798 | 0.2199 |
  | 2.3553        | 8.0   | 1616 | 2.1503          | 0.0854 | 0.227  |
  | 2.3553        | 9.0   | 1818 | 2.1173          | 0.0915 | 0.2357 |
  | 2.2044        | 10.0  | 2020 | 2.0854          | 0.0938 | 0.2397 |
  | 2.2044        | 11.0  | 2222 | 2.0586          | 0.0974 | 0.2442 |
  | 2.2044        | 12.0  | 2424 | 2.0418          | 0.1007 | 0.2491 |
  | 2.0911        | 13.0  | 2626 | 2.0239          | 0.1033 | 0.2528 |
  | 2.0911        | 14.0  | 2828 | 2.0071          | 0.105  | 0.255  |
  | 2.0255        | 15.0  | 3030 | 1.9955          | 0.1068 | 0.2576 |
  | 2.0255        | 16.0  | 3232 | 1.9913          | 0.1089 | 0.2609 |
  | 2.0255        | 17.0  | 3434 | 1.9774          | 0.1099 | 0.2605 |
  | 1.9777        | 18.0  | 3636 | 1.9789          | 0.1114 | 0.2638 |
  | 1.9777        | 19.0  | 3838 | 1.9734          | 0.1116 | 0.2638 |
  | 1.9505        | 20.0  | 4040 | 1.9722          | 0.1118 | 0.2641 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  