readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mT5_multilingual_XLSum-finetuned-summarization-V2
    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_multilingual_XLSum-finetuned-summarization-V2
  
  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: 1.5523
  - Rouge1: 25.8727
  - Rouge2: 16.1688
  - Rougel: 19.8093
  - Rougelsum: 23.4429
  - Gen Len: 34.4286
  
  ## 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: 2e-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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 13   | 1.8850          | 23.9901 | 12.4882 | 17.2823 | 20.8977   | 31.2857 |
  | No log        | 2.0   | 26   | 1.5894          | 25.1547 | 14.8857 | 19.2203 | 22.9079   | 31.8571 |
  | No log        | 3.0   | 39   | 1.5523          | 25.8727 | 16.1688 | 19.8093 | 23.4429   | 34.4286 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  