readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: focus_sum
    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. -->
  
  # focus_sum
  
  This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0575
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.9644        | 3.75  | 500  | 0.6880          |
  | 0.4682        | 7.52  | 1000 | 0.4350          |
  | 0.4672        | 11.28 | 1500 | 0.2599          |
  | 0.3439        | 15.04 | 2000 | 0.1568          |
  | 0.2753        | 18.79 | 2500 | 0.1064          |
  | 0.1885        | 22.55 | 3000 | 0.0737          |
  | 0.2185        | 26.31 | 3500 | 0.0575          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.12.1
  