readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: nmt-ted-id-en-lr_1e-3-ep_10-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-ted-id-en-lr_1e-3-ep_10-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: 1.4453
  - Bleu: 18.1458
  - Gen Len: 16.302
  - Meteor: 0.3625
  
  ## 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: 0.001
  - 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len | Meteor |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|
  | 2.1173        | 1.0   | 1250  | 1.6843          | 13.743  | 16.5153 | 0.3068 |
  | 1.7295        | 2.0   | 2500  | 1.5361          | 15.626  | 16.3687 | 0.3334 |
  | 1.5784        | 3.0   | 3750  | 1.4767          | 16.3593 | 16.4234 | 0.3406 |
  | 1.4435        | 4.0   | 5000  | 1.4511          | 17.1096 | 16.3199 | 0.3485 |
  | 1.3611        | 5.0   | 6250  | 1.4410          | 17.2554 | 16.3183 | 0.3526 |
  | 1.293         | 6.0   | 7500  | 1.4235          | 17.62   | 16.3605 | 0.356  |
  | 1.2234        | 7.0   | 8750  | 1.4311          | 17.9807 | 16.3032 | 0.3605 |
  | 1.1789        | 8.0   | 10000 | 1.4341          | 18.059  | 16.319  | 0.3612 |
  | 1.1301        | 9.0   | 11250 | 1.4383          | 18.0404 | 16.308  | 0.3611 |
  | 1.0921        | 10.0  | 12500 | 1.4453          | 18.1458 | 16.302  | 0.3625 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  