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distilcamembert-cae-component
gustavecortal/distilcamembert-cae-component
distilcamembert-cae-component is a text classification model from gustavecortal. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- camembert
- Access
- Public
- Created
- Nov 25, 2022
- Updated
- Jan 26, 2026
- SHA
- 83686267
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Gustave Cortal, Alain Finkel, Patrick Paroubek, Lina Ye. May 2023. Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation. In Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 72–81, Dubrovnik, Croatia. Association for Computational Linguistics.
distilcamembert-cae-component
This model is a fine-tuned version of cmarkea/distilcamembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3683
- Precision: 0.9317
- Recall: 0.9303
- F1: 0.9306
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.6221 | 1.0 | 309 | 0.3860 | 0.9007 | 0.8720 | 0.8761 |
| 0.1723 | 2.0 | 618 | 0.3505 | 0.9233 | 0.9157 | 0.9168 |
| 0.0604 | 3.0 | 927 | 0.3683 | 0.9317 | 0.9303 | 0.9306 |
| 0.0117 | 4.0 | 1236 | 0.4214 | 0.9311 | 0.9303 | 0.9304 |
| 0.0061 | 5.0 | 1545 | 0.4232 | 0.9317 | 0.9303 | 0.9305 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- License
- cc-by-nc-4.0
- Created
- Nov 25, 2022
- Updated
- Jan 26, 2026