readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: camembert-base-finetuned-sentence-simplification-fr
    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. -->
  
  # camembert-base-finetuned-sentence-simplification-fr
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0001
  - Rouge1: 100.0
  - Rouge2: 100.0
  - Rougel: 100.0
  - Rougelsum: 100.0
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2  | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:------:|:---------:|
  | 0.0202        | 1.0   | 167  | 0.0006          | 99.978 | 99.9587 | 99.978 | 99.978    |
  | 0.0034        | 2.0   | 334  | 0.0001          | 100.0  | 100.0   | 100.0  | 100.0     |
  | 0.0019        | 3.0   | 501  | 0.0001          | 100.0  | 100.0   | 100.0  | 100.0     |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu102
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  