Ce modèle a été finetuné avec 3336 + 664 offres. (Train + Validation) Le jeu de données a été oversamplé de façon à créer une répartition des classes homogène (15 par classe environ).
camembert2camembert_shared-finetuned-french-summarization_finetuned_12_06_14_23
This model is a fine-tuned version of mrm8488/camembert2camembert_shared-finetuned-french-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2819
- Rouge1: 0.4184
- Rouge2: 0.1729
- Rougel: 0.3116
- Rougelsum: 0.3116
- Gen Len: 57.0486
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.5592 | 1.0 | 3336 | 1.2819 | 0.4184 | 0.1729 | 0.3116 | 0.3116 | 57.0486 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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