readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-base-wikinewssum-french
    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-french
  
  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: 2.0917
  - Rouge1: 12.0984
  - Rouge2: 5.7289
  - Rougel: 9.9245
  - Rougelsum: 11.0697
  
  ## 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   | 549  | 2.3203          | 11.5172 | 4.9352 | 9.3617 | 10.4605   |
  | No log        | 2.0   | 1098 | 2.2057          | 11.8469 | 5.2369 | 9.6452 | 10.8337   |
  | No log        | 3.0   | 1647 | 2.1525          | 11.9096 | 5.4027 | 9.7648 | 10.9315   |
  | 3.1825        | 4.0   | 2196 | 2.1307          | 12.0782 | 5.5848 | 9.9614 | 11.1081   |
  | 3.1825        | 5.0   | 2745 | 2.1172          | 11.9821 | 5.6042 | 9.8216 | 11.0077   |
  | 3.1825        | 6.0   | 3294 | 2.1012          | 12.0845 | 5.6834 | 9.9119 | 11.0741   |
  | 3.1825        | 7.0   | 3843 | 2.0964          | 12.1296 | 5.7271 | 9.9495 | 11.1227   |
  | 2.3376        | 8.0   | 4392 | 2.0917          | 12.0984 | 5.7289 | 9.9245 | 11.0697   |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.10.1
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  