metadata
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: camembert-base-frenchNER_4entities
results: []
camembert-base-frenchNER_4entities
This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0542
- Precision: 0.9844
- Recall: 0.9844
- F1: 0.9844
- Accuracy: 0.9844
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| 0.0407 | 1.0 | 41095 | 0.0547 | 0.9816 | 0.9816 | 0.9816 | 0.9816 |
| 0.0242 | 2.0 | 82190 | 0.0488 | 0.9843 | 0.9843 | 0.9843 | 0.9843 |
| 0.018 | 3.0 | 123285 | 0.0542 | 0.9844 | 0.9844 | 0.9844 | 0.9844 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0