readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - csebuetnlp/xlsum
  metrics:
  - rouge
  model-index:
  - name: flux-xlsum
    results:
    - task:
        name: Summarization
        type: summarization
      dataset:
        name: csebuetnlp/xlsum russian
        type: csebuetnlp/xlsum
        args: russian
      metrics:
      - name: Rouge1
        type: rouge
        value: 99.1358
  ---
  
  <!-- 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. -->
  
  # flux-xlsum
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the csebuetnlp/xlsum russian dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0130
  - Rouge1: 99.1358
  - Rouge2: 98.1526
  - Rougel: 99.1365
  - Rougelsum: 99.1359
  - Gen Len: 29.0901
  
  ## 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
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  