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: 0.7620
Rouge1: 43.3685
Rouge2: 21.9134
Rougel: 40.2798
Rougelsum: 43.3935

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
5.6307	1.0	167	1.6589	17.9154	4.5628	17.3823	17.9298
1.5548	2.0	334	0.8930	37.8352	17.9295	35.5132	37.8323
1.1204	3.0	501	0.7620	43.3685	21.9134	40.2798	43.3935

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu102
Datasets 2.6.1
Tokenizers 0.13.1