readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - opus_infopankki
  model-index:
  - name: t5small-opus_infopankki-en-zh
    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. -->
  
  # t5small-opus_infopankki-en-zh
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_infopankki dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0385
  
  ## 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: 2e-05
  - 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: 25
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.0853        | 1.0   | 1496  | 2.7074          |
  | 2.8378        | 2.0   | 2992  | 2.5717          |
  | 2.7637        | 3.0   | 4488  | 2.4829          |
  | 2.6622        | 4.0   | 5984  | 2.4156          |
  | 2.5986        | 5.0   | 7480  | 2.3649          |
  | 2.5488        | 6.0   | 8976  | 2.3184          |
  | 2.486         | 7.0   | 10472 | 2.2808          |
  | 2.4566        | 8.0   | 11968 | 2.2485          |
  | 2.4413        | 9.0   | 13464 | 2.2181          |
  | 2.3806        | 10.0  | 14960 | 2.1939          |
  | 2.3741        | 11.0  | 16456 | 2.1711          |
  | 2.3419        | 12.0  | 17952 | 2.1511          |
  | 2.3197        | 13.0  | 19448 | 2.1318          |
  | 2.3229        | 14.0  | 20944 | 2.1170          |
  | 2.2885        | 15.0  | 22440 | 2.1032          |
  | 2.2781        | 16.0  | 23936 | 2.0908          |
  | 2.2447        | 17.0  | 25432 | 2.0792          |
  | 2.2589        | 18.0  | 26928 | 2.0695          |
  | 2.2274        | 19.0  | 28424 | 2.0611          |
  | 2.2311        | 20.0  | 29920 | 2.0538          |
  | 2.2263        | 21.0  | 31416 | 2.0482          |
  | 2.2066        | 22.0  | 32912 | 2.0443          |
  | 2.2042        | 23.0  | 34408 | 2.0413          |
  | 2.211         | 24.0  | 35904 | 2.0390          |
  | 2.1952        | 25.0  | 37400 | 2.0385          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  