metadata
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 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