readme: ---
  language:
  - zh_CN
  - zh_CN
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model_index:
  - name: tmp
    results:
    - task:
        name: Translation
        type: translation
      metric:
        name: Bleu
        type: bleu
        value: 0.0099
  ---
  
  <!-- 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. -->
  
  # tmp
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unkown dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  - Bleu: 0.0099
  - Gen Len: 3.3917
  
  ## 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: 5e-05
  - train_batch_size: 1024
  - eval_batch_size: 1024
  - seed: 13
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 2048
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 1    | nan             | 0.0114 | 3.3338  |
  | No log        | 2.0   | 2    | nan             | 0.0114 | 3.3338  |
  | No log        | 3.0   | 3    | nan             | 0.0114 | 3.3338  |
  | No log        | 4.0   | 4    | nan             | 0.0114 | 3.3338  |
  | No log        | 5.0   | 5    | nan             | 0.0114 | 3.3338  |
  | No log        | 6.0   | 6    | nan             | 0.0114 | 3.3338  |
  | No log        | 7.0   | 7    | nan             | 0.0114 | 3.3338  |
  | No log        | 8.0   | 8    | nan             | 0.0114 | 3.3338  |
  | No log        | 9.0   | 9    | nan             | 0.0114 | 3.3338  |
  | No log        | 10.0  | 10   | nan             | 0.0114 | 3.3338  |
  | No log        | 11.0  | 11   | nan             | 0.0114 | 3.3338  |
  | No log        | 12.0  | 12   | nan             | 0.0114 | 3.3338  |
  | No log        | 13.0  | 13   | nan             | 0.0114 | 3.3338  |
  | No log        | 14.0  | 14   | nan             | 0.0114 | 3.3338  |
  | No log        | 15.0  | 15   | nan             | 0.0114 | 3.3338  |
  | No log        | 16.0  | 16   | nan             | 0.0114 | 3.3338  |
  | No log        | 17.0  | 17   | nan             | 0.0114 | 3.3338  |
  | No log        | 18.0  | 18   | nan             | 0.0114 | 3.3338  |
  | No log        | 19.0  | 19   | nan             | 0.0114 | 3.3338  |
  | No log        | 20.0  | 20   | nan             | 0.0114 | 3.3338  |
  
  
  ### Framework versions
  
  - Transformers 4.8.2
  - Pytorch 1.8.1+cu111
  - Datasets 1.9.0
  - Tokenizers 0.10.3
  