metadata
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: camembert-base-finetuned-sans-symbole-dd
results: []
camembert-base-finetuned-sans-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: 0.2642
- Precision: 0.8856
- Recall: 0.9176
- F1: 0.9013
- Accuracy: 0.9364
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1961 | 1.0 | 4317 | 0.2216 | 0.8675 | 0.9039 | 0.8853 | 0.9319 |
| 0.161 | 2.0 | 8634 | 0.2243 | 0.8614 | 0.9158 | 0.8878 | 0.9237 |
| 0.1169 | 3.0 | 12951 | 0.2507 | 0.8752 | 0.9154 | 0.8949 | 0.9329 |
| 0.0875 | 4.0 | 17268 | 0.2642 | 0.8856 | 0.9176 | 0.9013 | 0.9364 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1