readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-large-multiwoz
    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. -->
  
  # t5-large-multiwoz
  
  This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0064
  - Acc: 1.0
  - True Num: 56671
  - Num: 56776
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Acc  | True Num | Num   |
  |:-------------:|:-----:|:----:|:---------------:|:----:|:--------:|:-----:|
  | 0.1261        | 1.13  | 1000 | 0.0933          | 0.98 | 55574    | 56776 |
  | 0.0951        | 2.25  | 2000 | 0.0655          | 0.98 | 55867    | 56776 |
  | 0.0774        | 3.38  | 3000 | 0.0480          | 0.99 | 56047    | 56776 |
  | 0.0584        | 4.51  | 4000 | 0.0334          | 0.99 | 56252    | 56776 |
  | 0.042         | 5.64  | 5000 | 0.0222          | 0.99 | 56411    | 56776 |
  | 0.0329        | 6.76  | 6000 | 0.0139          | 1.0  | 56502    | 56776 |
  | 0.0254        | 7.89  | 7000 | 0.0094          | 1.0  | 56626    | 56776 |
  | 0.0214        | 9.02  | 8000 | 0.0070          | 1.0  | 56659    | 56776 |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu102
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  