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emotions_detection_french
ac0hik/emotions_detection_french
emotions_detection_french is a text classification model from ac0hik. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Dec 22, 2023
- Updated
- Dec 24, 2023
- SHA
- 5a7f033d
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Base models
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. -->
translateddata_emotion_classifier
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3647
- Accuracy: 0.8932
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.177 | 1.0 | 639 | 0.6458 | 0.8142 |
| 0.6088 | 2.0 | 1278 | 0.4172 | 0.8728 |
| 0.4064 | 3.0 | 1917 | 0.3647 | 0.8932 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- License
- mit
- Created
- Dec 22, 2023
- Updated
- Dec 24, 2023