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camembert-base-articles-ner-backup
This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6701
- F1: 0.8723
Model description
This model identifies Name Entities : PERSON, ORGANISATION, JOB TITLE Another Model is being developped to predict relationships between these entities (nomination, départure)
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.9205 | 1.0 | 6 | 1.7426 | 0.0 |
| 1.6476 | 2.0 | 12 | 1.5415 | 0.0 |
| 1.4607 | 3.0 | 18 | 1.3944 | 0.0635 |
| 1.3299 | 4.0 | 24 | 1.2587 | 0.4848 |
| 1.1973 | 5.0 | 30 | 1.1287 | 0.6207 |
| 1.0707 | 6.0 | 36 | 1.0110 | 0.8043 |
| 0.972 | 7.0 | 42 | 0.9266 | 0.8696 |
| 0.8877 | 8.0 | 48 | 0.8632 | 0.8602 |
| 0.8231 | 9.0 | 54 | 0.8279 | 0.8511 |
| 0.7723 | 10.0 | 60 | 0.8001 | 0.8511 |
| 0.7309 | 11.0 | 66 | 0.7617 | 0.8602 |
| 0.6902 | 12.0 | 72 | 0.7364 | 0.8602 |
| 0.6601 | 13.0 | 78 | 0.7104 | 0.8723 |
| 0.6306 | 14.0 | 84 | 0.7062 | 0.8723 |
| 0.6127 | 15.0 | 90 | 0.6896 | 0.8602 |
| 0.605 | 16.0 | 96 | 0.6743 | 0.8723 |
| 0.5892 | 17.0 | 102 | 0.6801 | 0.8723 |
| 0.5843 | 18.0 | 108 | 0.6797 | 0.8723 |
| 0.5731 | 19.0 | 114 | 0.6731 | 0.8723 |
| 0.5707 | 20.0 | 120 | 0.6701 | 0.8723 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2
