readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-3
    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-small-finetuned-3
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.4921
  - Rouge1: 0.0598
  - Rouge2: 0.0
  - Rougel: 0.0591
  - Rougelsum: 0.0588
  
  ## 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: 0.005
  - train_batch_size: 10
  - eval_batch_size: 10
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 6.841         | 1.0   | 60   | 5.4156          | 0.0    | 0.0    | 0.0    | 0.0       |
  | 4.5073        | 2.0   | 120  | 3.7430          | 0.0117 | 0.0    | 0.0121 | 0.0117    |
  | 3.1634        | 3.0   | 180  | 3.4506          | 0.0370 | 0.0    | 0.037  | 0.0375    |
  | 2.4922        | 4.0   | 240  | 3.4393          | 0.0356 | 0.0    | 0.0351 | 0.0357    |
  | 2.0525        | 5.0   | 300  | 3.4921          | 0.0598 | 0.0    | 0.0591 | 0.0588    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  