--- tags: - generated_from_trainer metrics: - rouge model-index: - name: camembert-base-finetuned-sentence-simplification-fr results: [] --- # 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: 0.0021 - Rouge1: 99.9243 - Rouge2: 99.8667 - Rougel: 99.9251 - Rougelsum: 99.9254 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | 0.0503 | 1.0 | 167 | 0.0129 | 99.3706 | 97.6536 | 98.5166 | 99.3829 | | 0.0245 | 2.0 | 334 | 0.0054 | 99.7198 | 99.2156 | 99.5022 | 99.7181 | | 0.0135 | 3.0 | 501 | 0.0021 | 99.9243 | 99.8667 | 99.9251 | 99.9254 | ### Framework versions - Transformers 4.23.1 - Pytorch 1.12.1+cu102 - Datasets 2.6.1 - Tokenizers 0.13.1