readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-base-wikinewssum-english-1000
    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-base-wikinewssum-english-1000
  
  This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4724
  - Rouge1: 7.7389
  - Rouge2: 3.1606
  - Rougel: 6.3317
  - Rougelsum: 7.2487
  
  ## 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: 5.6e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | No log        | 1.0   | 125  | 2.6981          | 7.1504 | 2.6253 | 5.8261 | 6.7427    |
  | No log        | 2.0   | 250  | 2.5597          | 7.4666 | 2.9362 | 6.0965 | 6.9699    |
  | No log        | 3.0   | 375  | 2.5145          | 7.4599 | 2.9449 | 6.0941 | 6.9734    |
  | No log        | 4.0   | 500  | 2.4904          | 7.5063 | 2.975  | 6.137  | 7.0027    |
  | No log        | 5.0   | 625  | 2.4904          | 7.6027 | 3.0582 | 6.2161 | 7.0832    |
  | No log        | 6.0   | 750  | 2.4801          | 7.7601 | 3.1916 | 6.3689 | 7.2686    |
  | No log        | 7.0   | 875  | 2.4737          | 7.7162 | 3.1332 | 6.3113 | 7.2283    |
  | No log        | 8.0   | 1000 | 2.4724          | 7.7389 | 3.1606 | 6.3317 | 7.2487    |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.10.1
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  