readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-amazon-en-zh_TW
    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. -->
  
  # mt5-small-finetuned-amazon-en-zh_TW
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.2408
  - Rouge1: 15.8831
  - Rouge2: 7.1676
  - Rougel: 15.5523
  - Rougelsum: 15.4954
  
  ## 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: 5.6e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
  | 7.5388        | 1.0   | 838  | 3.5888          | 12.6081 | 5.3611 | 12.3495 | 12.2926   |
  | 4.0043        | 2.0   | 1676 | 3.4038          | 13.8517 | 6.3417 | 13.4755 | 13.4913   |
  | 3.6776        | 3.0   | 2514 | 3.3294          | 15.1519 | 7.3842 | 14.8844 | 14.8458   |
  | 3.4929        | 4.0   | 3352 | 3.2668          | 15.6067 | 7.4016 | 15.3715 | 15.2908   |
  | 3.387         | 5.0   | 4190 | 3.2855          | 15.0546 | 7.3065 | 14.8271 | 14.7755   |
  | 3.302         | 6.0   | 5028 | 3.2457          | 15.0213 | 6.6597 | 14.6131 | 14.5641   |
  | 3.2806        | 7.0   | 5866 | 3.2408          | 15.8831 | 7.1676 | 15.5523 | 15.4954   |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  