metadata

tags:
  - summarization
  - 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 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5912
Rouge1: 56.6081
Rouge2: 31.7858
Rougel: 48.4959
Rougelsum: 56.6806

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: 2e-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
5.3993	1.0	188	1.4868	23.2843	6.9787	22.46	23.2664
1.2384	2.0	376	0.7450	47.5051	23.5773	42.2383	47.5388
0.8417	3.0	564	0.5912	56.6081	31.7858	48.4959	56.6806

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu102
Datasets 2.6.1
Tokenizers 0.13.1