readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: ru_t5_model_for_law_simplification
    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. -->
  
  # ru_t5_model_for_law_simplification
  
  This model is a fine-tuned version of [IlyaGusev/rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  - Bleu: 0.5066
  - Gen Len: 163.03
  
  ## 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: 0.002
  - 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 157  | nan             | 0.5066 | 163.03  |
  | No log        | 2.0   | 314  | nan             | 0.5066 | 163.03  |
  | No log        | 3.0   | 471  | nan             | 0.5066 | 163.03  |
  | 0.0           | 4.0   | 628  | nan             | 0.5066 | 163.03  |
  | 0.0           | 5.0   | 785  | nan             | 0.5066 | 163.03  |
  | 0.0           | 6.0   | 942  | nan             | 0.5066 | 163.03  |
  | 0.0           | 7.0   | 1099 | nan             | 0.5066 | 163.03  |
  | 0.0           | 8.0   | 1256 | nan             | 0.5066 | 163.03  |
  | 0.0           | 9.0   | 1413 | nan             | 0.5066 | 163.03  |
  | 0.0           | 10.0  | 1570 | nan             | 0.5066 | 163.03  |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  