metadata
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: french_emotion_camembert
results: []
french_emotion_camembert
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5368
- Accuracy: 0.8295
- Precision: 0.8265
- Recall: 0.8295
- F1: 0.8269
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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.5249 | 1.0 | 2825 | 0.4866 | 0.8196 | 0.8079 | 0.8196 | 0.8073 |
| 0.3751 | 2.0 | 5650 | 0.4891 | 0.8215 | 0.8222 | 0.8215 | 0.8210 |
| 0.2689 | 3.0 | 8475 | 0.5368 | 0.8295 | 0.8265 | 0.8295 | 0.8269 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1