camembert-base-finetuned-Train_RAW20-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: 0.2380
- Precision: 0.8661
- Recall: 0.8900
- F1: 0.8779
- Accuracy: 0.9209
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.23 | 1.0 | 14269 | 0.2282 | 0.8446 | 0.8714 | 0.8578 | 0.9088 |
| 0.1787 | 2.0 | 28538 | 0.2380 | 0.8661 | 0.8900 | 0.8779 | 0.9209 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1