camembert-base-finetuned-avec-symbole-dd
This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2583
- Precision: 0.8906
- Recall: 0.9204
- F1: 0.9053
- Accuracy: 0.9319
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 | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.1703 | 1.0 | 4327 | 0.2083 | 0.8742 | 0.9099 | 0.8917 | 0.9248 |
0.1335 | 2.0 | 8654 | 0.2137 | 0.8792 | 0.9190 | 0.8987 | 0.9309 |
0.1067 | 3.0 | 12981 | 0.2583 | 0.8906 | 0.9204 | 0.9053 | 0.9319 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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